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Actowiz Metrics Now Live!

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Actowiz Metrics Now Live!

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Actowiz Metrics Now Live!

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Actowiz Metrics Now Live!

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Actowiz Metrics Now Live!

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Actowiz Metrics Now Live!

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Actowiz Metrics Now Live!

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Actowiz Metrics Now Live!

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GeoIp2\Model\City Object
(
    [raw:protected] => Array
        (
            [city] => Array
                (
                    [geoname_id] => 4509177
                    [names] => Array
                        (
                            [de] => Columbus
                            [en] => Columbus
                            [es] => Columbus
                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
                        )

                )

            [continent] => Array
                (
                    [code] => NA
                    [geoname_id] => 6255149
                    [names] => Array
                        (
                            [de] => Nordamerika
                            [en] => North America
                            [es] => Norteamérica
                            [fr] => Amérique du Nord
                            [ja] => 北アメリカ
                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
                        )

                )

            [country] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [location] => Array
                (
                    [accuracy_radius] => 20
                    [latitude] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
                )

            [postal] => Array
                (
                    [code] => 43215
                )

            [registered_country] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [subdivisions] => Array
                (
                    [0] => Array
                        (
                            [geoname_id] => 5165418
                            [iso_code] => OH
                            [names] => Array
                                (
                                    [de] => Ohio
                                    [en] => Ohio
                                    [es] => Ohio
                                    [fr] => Ohio
                                    [ja] => オハイオ州
                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
                                )

                        )

                )

            [traits] => Array
                (
                    [ip_address] => 216.73.216.103
                    [prefix_len] => 22
                )

        )

    [continent:protected] => GeoIp2\Record\Continent Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [code] => NA
                    [geoname_id] => 6255149
                    [names] => Array
                        (
                            [de] => Nordamerika
                            [en] => North America
                            [es] => Norteamérica
                            [fr] => Amérique du Nord
                            [ja] => 北アメリカ
                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => code
                    [1] => geonameId
                    [2] => names
                )

        )

    [country:protected] => GeoIp2\Record\Country Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                )

        )

    [locales:protected] => Array
        (
            [0] => en
        )

    [maxmind:protected] => GeoIp2\Record\MaxMind Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                )

            [validAttributes:protected] => Array
                (
                    [0] => queriesRemaining
                )

        )

    [registeredCountry:protected] => GeoIp2\Record\Country Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                )

        )

    [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                    [5] => type
                )

        )

    [traits:protected] => GeoIp2\Record\Traits Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [ip_address] => 216.73.216.103
                    [prefix_len] => 22
                    [network] => 216.73.216.0/22
                )

            [validAttributes:protected] => Array
                (
                    [0] => autonomousSystemNumber
                    [1] => autonomousSystemOrganization
                    [2] => connectionType
                    [3] => domain
                    [4] => ipAddress
                    [5] => isAnonymous
                    [6] => isAnonymousProxy
                    [7] => isAnonymousVpn
                    [8] => isHostingProvider
                    [9] => isLegitimateProxy
                    [10] => isp
                    [11] => isPublicProxy
                    [12] => isResidentialProxy
                    [13] => isSatelliteProvider
                    [14] => isTorExitNode
                    [15] => mobileCountryCode
                    [16] => mobileNetworkCode
                    [17] => network
                    [18] => organization
                    [19] => staticIpScore
                    [20] => userCount
                    [21] => userType
                )

        )

    [city:protected] => GeoIp2\Record\City Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 4509177
                    [names] => Array
                        (
                            [de] => Columbus
                            [en] => Columbus
                            [es] => Columbus
                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => names
                )

        )

    [location:protected] => GeoIp2\Record\Location Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [accuracy_radius] => 20
                    [latitude] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
                )

            [validAttributes:protected] => Array
                (
                    [0] => averageIncome
                    [1] => accuracyRadius
                    [2] => latitude
                    [3] => longitude
                    [4] => metroCode
                    [5] => populationDensity
                    [6] => postalCode
                    [7] => postalConfidence
                    [8] => timeZone
                )

        )

    [postal:protected] => GeoIp2\Record\Postal Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [code] => 43215
                )

            [validAttributes:protected] => Array
                (
                    [0] => code
                    [1] => confidence
                )

        )

    [subdivisions:protected] => Array
        (
            [0] => GeoIp2\Record\Subdivision Object
                (
                    [record:GeoIp2\Record\AbstractRecord:private] => Array
                        (
                            [geoname_id] => 5165418
                            [iso_code] => OH
                            [names] => Array
                                (
                                    [de] => Ohio
                                    [en] => Ohio
                                    [es] => Ohio
                                    [fr] => Ohio
                                    [ja] => オハイオ州
                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
                                )

                        )

                    [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                        (
                            [0] => en
                        )

                    [validAttributes:protected] => Array
                        (
                            [0] => confidence
                            [1] => geonameId
                            [2] => isoCode
                            [3] => names
                        )

                )

        )

)

 country : United States

 city : Columbus

US

Array
(
    [as_domain] => amazon.com
    [as_name] => Amazon.com, Inc.
    [asn] => AS16509
    [continent] => North America
    [continent_code] => NA
    [country] => United States
    [country_code] => US
)

• Home
• Services
• Web Scraping Services | Global Data Extraction for E-commerce, Travel & Real Estate

Web Scraping Services – Extract Large-Scale Data from the USA, UK & UAE

Get accurate, scalable web scraping services from Actowiz Solutions. Extract e-commerce, travel, real estate, finance, and social media data with 99.9% accuracy.

• Automated, custom scrapers & APIs that turn websites into structured datasets.
• Resilient, compliant crawling (rotation, scheduling, QA) to reduce blocks.
• Built for scale — from hundreds to millions of pages quickly and reliably.
• Clean outputs in JSON/CSV/Excel, delivered to S3, GCS, Azure, or SFTP.
• 24/7 monitoring & support with alerts, retries, and health checks.
• Global clients across North America, Europe, the Middle East & APAC (USA, UK, UAE, India, Germany, Canada, Australia, Japan, China, etc.).

Request a Free Quote

Top Countries:

Create your own

Why Choose Actowiz Solutions?

99.9% Accuracy

Data cleaning & validation pipelines

Scalability

From thousands to billions of records

Global Reach

USA, UK, UAE, India, Canada, Germany & 150+ more

Real-Time APIs

Plug-and-play integration

Compliance First

100% ethical and legal framework

24/7 Support

Round-the-clock expert assistance

What Can You Do With Our Web Scraping Services?

Below are the most demand-heavy industries where our services create measurable business impact.

E-commerce & Marketplaces

E-commerce moves fast. Stay competitive by tracking prices, promotions, stock, and reviews in real time.

We extract:

• Product names, SKUs, categories
• Prices, discounts, historical price changes
• Stock status and seller type
• Ratings, reviews, images, descriptions

Popular platforms: Amazon, Walmart, Flipkart, Target, Best Buy, eBay, Alibaba

Use cases:

• Price monitoring and dynamic repricing
• Catalog enrichment and image sync
• New market and SKU discovery
• Promotion and banner analysis

Sample data output:

Product	Price	Rating	Reviews	Availability
Samsung Galaxy S24	$799	4.6★	1,245	In Stock
Nike Air Max 2025	$149	4.8★	872	Out of Stock

Read More

Quick Commerce & Grocery

Q-commerce changes minute to minute. Measure basket pricing, delivery SLAs, fees, and promo banners across apps.

We extract:

• Product, brand, pack size
• Price, discount, fees
• Delivery time, serviceability
• Inventory signals and banner slots

Popular platforms: Blinkit, Zepto, Instacart, Swiggy Instamart, BigBasket, Getir

Use cases:

• Basket price and fee benchmarking
• Delivery SLA comparison by city
• Assortment visibility and stockouts
• Promo share of voice tracking

Sample data output:

Product	Price	Discount	Delivery	Availability
Amul Milk 1L	$1.20	Buy 1 Get 1	15 mins	In Stock
Lays Chips 200g	$1.50	20% Off	12 mins	Out of Stock

Read More

Travel & Hospitality (Hotels and OTAs)

Rates and availability fluctuate constantly. Capture fares, room prices, amenities, and review trends across regions.

We extract:

• Airline routes, fares, seat class
• Hotel rates, amenities, availability
• Rental car pricing and availability
• Packages and traveler reviews

Popular platforms: Booking.com, Expedia, Skyscanner, TripAdvisor, Airbnb, MakeMyTrip

Use cases:

• Fare comparison across carriers
• Hotel rate parity and benchmarking
• Real-time availability tracking
• Package and seasonal trend analysis

Sample data output:

Route / Hotel	Price	Rating	Reviews	Availability
NYC–London (Delta)	$699	–	–	Available
Marriott Downtown NYC	$185	4.5★	1,200	5 Rooms Left

Read More

Lawyer Data Web Scraping

Law firms and legal-tech platforms depend on real-time structured legal data to stay competitive.

We extract:

• Lawyer directories & professional profiles
• Case details, judgments & verdicts
• Client reviews & ratings
• Legal service pricing insights

Popular platforms: Avvo, Justia, LegalZoom, Martindale, FindLaw, Nolo

Use cases:

• Lawyer reputation & sentiment analysis
• Benchmarking legal services across firms
• Case law research & competitive intelligence
• Lead generation for legal professionals

Sample data output:

Lawyer Name	Practice Area	Location	Rating	Platform
Sarah Johnson	Family Law	Los Angeles, CA	4.9★	Avvo
Mark Smith	Corporate Law	New York, NY	4.7★	Justia

Read More

Real Estate

Markets move neighborhood by neighborhood. Collect listings, rents, photos, and agent data to spot opportunities.

We extract:

• Property type, size, price, geo
• Rent history and availability
• Agent or owner details
• Photos, amenities, descriptions

Popular platforms: Zillow, Realtor, RentCafe, 99acres, Bayut, MagicBricks

Use cases:

• Rental market analysis by city
• Investment opportunity scouting
• Developer and broker benchmarking
• Demand forecasting

Sample data output:

Property	Price	Size	Location	Status
2BHK Downtown LA	$2,450/mo	950 sq ft	Los Angeles, US	Available
3BHK Dubai Marina	$1,850/mo	1,100 sq ft	Dubai, UAE	Available

Read More

Finance & Crypto

Markets react in seconds. Stream stock, ETF, and crypto prices with filings, fundamentals, and breaking news.

We extract:

• Stock and ETF prices
• Corporate filings and fundamentals
• Crypto exchange prices and metadata
• Market news summaries

Popular platforms: Yahoo Finance, Nasdaq, SEC EDGAR, CoinMarketCap, Investing.com

Use cases:

• Portfolio and event tracking
• Competitor health checks
• Quant and research feeds
• Risk and compliance signals

Sample data output:

Asset	Price	Change	Market Cap
Tesla (TSLA)	$725	+3.5%	$720B
Bitcoin (BTC)	$64,800	-2.1%	$1.2T

Read More

Jobs & Hiring Intelligence

Talent markets shift quickly. Track roles, salary ranges, skills, locations, and posted dates across boards.

We extract:

• Job title, seniority, salary or range
• Required skills and tech stack
• Company, recruiter, location
• Posted date and job type

Popular platforms: LinkedIn, Indeed, Glassdoor, Naukri, Monster

Use cases:

• Salary benchmarking by role and city
• Skill trend and gap analysis
• Competitor hiring watch
• Labor market reports

Sample data output:

Job Title	Salary	Skills	Location	Posted
Data Analyst	$85K	SQL, Python	New York	3 days
ML Engineer	€110K	TensorFlow	Berlin	2 days

Read More

Mobility & Auto (Ride-hailing, Car Rental, EV)

Track surge pricing, fleet availability, dealer listings, and EV specs.

We extract:

• Ride pricing, surge, ETA, fees
• Car rental fleet, daily rates, policies
• EV and used-car listings, specs, mileage
• Dealer profiles and verification

Popular platforms: Uber, Lyft, Ola, Hertz, Avis, AutoTrader, Cars.com, Mobile.de

Use cases:

• Surge and fee intelligence by city
• Rental price benchmarking
• Used-car pricing strategy
• Dealer inventory watch

Sample data output:

Source	Item	Price	Detail
Ride-hailing	6 km, City Center	$7.80	1.3x surge
AutoTrader	BMW 3 Series 2022	€35,000	12,000 km

Read More

Grocery & Supermarkets

Weekly assortments keep shifting. Compare shelf vs promo price, club fees, and out-of-stock events by store.

We extract:

• Product/brand/size
• Shelf price vs promo
• Club & delivery fees
• Availability & substitutions

Popular platforms: Kroger, Tesco, Carrefour, Target, Walmart Grocery

Use cases:

• Basket price tracking
• Promo effectiveness
• Private-label vs national brand
• OOS detection

Sample data output:

Product	Shelf	Promo	Club Fee	Availability
Whole Milk 1L	$1.59	$1.29	$0.00	In Stock
Brown Bread 400g	$2.49	–	$0.99	Out of Stock

Read More

Toys, Baby & Gifting

Seasonality rules this category. Track variants, bundles, age ranges, prices, and review velocity.

We extract:

• Age range
• Variants
• Prices & bundles
• Reviews
• Stock

Popular platforms: Amazon, Smyths, FirstCry, Target

Use cases:

• Seasonal forecasting
• Bundle mapping
• Safety/age compliance checks
• Gifting trends

Sample data output:

Item	Price	Age	Reviews	Stock
Learning Blocks 100pc	$24.99	3–6 yrs	1,120	In Stock
Newborn Gift Set	$39.00	0–6 mo	540	Low Stock

Read More

Electronics & Appliances

Specs drive conversion. Centralize model numbers, features, energy ratings, prices, warranty, and sellers.

We extract:

• Model/series
• Specs
• Prices
• Warranty
• Energy ratings
• Seller

Popular platforms: Best Buy, Croma, MediaMarkt, Newegg

Use cases:

• Spec sheet enrichment
• Price/margin watch
• Launch vs clearance timing
• Warranty mapping

Sample data output:

Model	Price	Spec Highlight	Warranty	Seller
LG 55” OLED C3	$1,199	120Hz, HDMI 2.1	2 yrs	Authorized
Dyson V15	$599	Laser Slim Fluffy	2 yrs	Marketplace

Read More

Restaurants

Dining trends evolve quickly. Stay ahead by tracking menus, prices, reviews, delivery times, and customer experiences in real time.

We extract:

• Restaurant names, cuisines, categories
• Menu items, prices, discounts, historical price changes
• Delivery times, availability, service coverage
• Ratings, reviews, images, and food descriptions

Popular platforms: McDonald’s, Starbucks, Burger King, KFC, Subway, Domino’s, Pizza Hut

Use cases:

• Competitor menu and pricing monitoring
• Delivery performance and dynamic pricing
• Customer sentiment and food quality analysis
• Promotion, offers, and banner tracking
• Discovering trending dishes and cuisines

Sample data output:

Restaurant	Dish/Item	Price	Rating	Reviews	Availability
McDonald’s	Big Mac	$5.49	4.6★	3,245	Available
Starbucks	Caramel Latte	$4.99	4.8★	1,580	Limited Stock

Read More

Food Delivery (Apps & Aggregators)

Restaurant listings, menus, pricing, discounts, and delivery availability change constantly. Capture real-time menu updates, pricing strategies, customer reviews, and delivery trends across regions.

We extract:

• Restaurant details (name, cuisine type, location)
• Menu items, prices, and discounts
• Delivery charges & estimated delivery times
• Ratings, reviews, and customer feedback
• Promo codes and special offers

Popular platforms: Zomato, Swiggy, UberEats, DoorDash, Grubhub, Deliveroo

Use cases:

• Competitor price comparison
• Restaurant performance benchmarking
• Tracking discount & promo trends
• Delivery time & availability monitoring
• Regional food demand insights

Sample data output:

Restaurant / Item	Price	Rating	Reviews	Availability
Domino’s Pizza (Large)	$12.99	4.3★	8,540	Available
McDonald’s Big Mac Meal	$7.49	4.1★	12,200	Delivery in 25 mins
Subway Veggie Delight	$5.99	4.5★	3,120	Not Available
Starbucks Iced Latte	$4.50	4.6★	9,800	Delivery in 15 mins

Read More

Doctors & Physicians

Patients search by specialty and trust. Aggregate profiles, experience, locations, accepted insurance, and ratings.

We extract:

• Name
• Specialty
• Experience
• Locations
• Ratings
• Insurance accepted

Popular platforms: Healthgrades, WebMD, Practo, Zocdoc

Use cases:

• Network adequacy
• Provider directories
• Patient choice tools
• Market access mapping

Sample data output:

Doctor	Specialty	Rating	City	Insurer
Dr. R. Shah	Cardiology	4.7★	Mumbai	HDFC
Dr. L. Evans	Pediatrics	4.5★	Austin	Aetna

Read More

Hospitals & Clinics

Coverage varies by service line. Map departments, beds, accreditations, hours, and service availability.

We extract:

• Facility name
• Address/geo
• Departments
• Beds
• Accreditations
• Hours

Popular platforms: WebMD Care, Healthgrades, Zocdoc, Mayo Clinic Finder, NHS (UK), Joint Commission Quality Check

Use cases:

• Coverage heatmaps
• Referral planning
• Competitive service lines
• Accreditation audits

Sample data output:

Facility	Dept	Beds	City	Status
CityCare General	Cardio	48	Dubai	JCI
Northview Clinic	Ortho	12	Dallas	–

Read More

Pharmaceuticals

Pricing and availability shift by market. Track molecules, strengths, pack sizes, approvals, and stock status.

We extract:

• Molecule/brand
• Strength
• Pack size
• Price
• Availability
• Reg approvals

Popular platforms: Drugs.com, FDA/EMA, pharmacy portals

Use cases:

• Price transparency
• Channel tracking
• Generic vs brand mapping
• Market entry research

Sample data output:

Drug	Strength	Price	Pack	Status
Paracetamol	500 mg	₹45	10 tabs	In Stock
Ozempic	1 mg	$249	Pen	Limited

Read More

Insurance

Plans are complex and changing. Compare premiums, deductibles, networks, and riders across providers.

We extract:

• Plan name
• Premium
• Deductible
• Coverage
• Network
• Riders

Popular platforms: PolicyBazaar, Healthcare.gov, insurer portals

Use cases:

• Price/benefit comparison
• Coverage gaps
• Network breadth
• Lead-gen enrichment

Sample data output:

Plan	Premium	Deductible	Coverage	Network
Bronze HMO	$219	$6,000	Basic	Narrow
Gold PPO	$418	$750	Extended	Wide

Read More

Cryptocurrency & Blockchain

Exchanges never sleep. Watch pair prices, volumes, fees, and token metadata to power trading and research.

We extract:

• Pair
• Spot/volume
• OHLC
• Exchange fees
• Contract address
• Supply

Popular platforms: Binance, Coinbase, Kraken, CoinGecko

Use cases:

• Arbitrage tracking
• Listing alerts
• Risk flags
• Quant feeds

Sample data output:

Pair	Exchange	Price	24h Vol	Fee
BTC/USDT	Binance	$64,800	$22B	0.1%
ETH/USD	Coinbase	$3,220	$3.5B	0.6%

Read More

News & Media

Signals break first in headlines. Collect publishers, URLs, timestamps, topics, and social counts for monitoring.

We extract:

• Headlines
• URLs
• Authors
• Topics
• Publish time
• Social counts

Popular platforms: News sites, RSS, Google News, Bing News

Use cases:

• Brand monitoring
• Competitor press
• Trend discovery
• Content curation

Sample data output:

Headline	Source	Time	Topic
Retail Prices Fall 2%	RetailDaily	10:02	Inflation

Read More

OTT Streaming

Catalogs and plans vary by region. Compare title availability, plan pricing, genres, and audience reviews.

We extract:

• Title
• Season/episode
• Genre
• Plan availability
• Price
• Reviews

Popular platforms: Netflix, Prime Video, Disney+, Hulu

Use cases:

• Content gap analysis
• Plan benchmarking
• Review trends
• Regional catalogs

Sample data output:

Title	Plan	Price	Rating	Region
Planet X S1	Standard	$15.49	4.6★	US
Movie Y	Basic	$7.99	4.2★	UK

Read More

EV & Auto Marketplaces

Vehicle supply moves fast. Scrape listings, specs, mileage, battery range, dealer status, and price drops.

We extract:

• Make/model/trim
• Year
• Mileage
• Battery/range (EV)
• Price
• Dealer

Popular platforms: AutoTrader, Cars.com, Mobile.de, CarGurus

Use cases:

• Used-car pricing
• EV range/price study
• Dealer performance
• Residuals

Sample data output:

Vehicle	Price	Mileage	Range	Dealer
Tesla Model 3 2022	$27,900	21,300	358 mi	EV World
Audi A4 2021	€23,500	45,000	–	Autohaus

Read More

Ride-Hailing & Last-Mile Delivery

City dynamics change all day. Monitor base fare, surge, ETA, category mix, and fees across zones.

We extract:

• Base + surge
• ETA
• Category
• Fees
• Geo

Popular platforms: Uber, Lyft, Ola, DoorDash, Swiggy Genie

Use cases:

• City pricing maps
• Surge windows
• Fee transparency
• Ops planning

Sample data output:

Trip	Price	Surge	ETA	Fee
6 km (CBD)	$7.80	1.3x	5m	$1.20
9 km (Airport)	$12.40	1.0x	7m	$1.80

Read More

Store Locator / POI Scraping

Brands update locations often. Validate dealer presence, service coverage, contacts, and opening times at scale.

We extract:

• Name
• Category
• Address/geo
• Hours
• Phone
• Services

Popular platforms: Brand store locators, Google Maps, Apple Maps

Use cases:

• Coverage maps
• Territory planning
• Dealer audits
• Lead gen

Sample data output:

Store	Category	City	Hours
ActoMart – East	Supermarket	Phoenix	9–21
AutoHub South	Dealer	Austin	10–19

Read More

Event & Ticketing

Demand peaks by artist and game. Capture price tiers, seat maps, sell-through, and resale activity.

We extract:

• Event
• Venue
• Date/time
• Price tiers
• Availability
• Resale stats

Popular platforms: Ticketmaster, StubHub, BookMyShow, Eventbrite

Use cases:

• Dynamic pricing
• Sell-through rates
• Venue benchmarking
• Season planning

Sample data output:

Event	Tier	Price	Availability	Venue
Coldplay – Tour	VIP	$350	80%	O2 Arena
League Final	Cat B	$120	40%	City Stadium

Read More

Agriculture & Commodities

Markets shift with harvests. Track crop prices, trade flows, yield trends, and regional supply-demand signals.

We extract:

• Commodity
• Grade
• Unit
• Price
• Market
• Date

Popular platforms: AgriWatch, NCDEX, Agmarknet, FAO, ICRISAT, APEDA

Use cases:

• Price dashboards
• Procurement planning
• Regional arbitrage
• Trend tracking

Sample data output:

Commodity	Grade	Unit	Price	Market
Wheat	A	kg	₹24.5	Indore
Soybean	B	kg	₹51.2	Nagpur

Read More

Education & EdTech

Learners compare options. Aggregate courses, providers, duration, fees, delivery mode, and ratings.

We extract:

• Course title
• Provider
• Duration
• Fees
• Mode
• Reviews

Popular platforms: Coursera, Udemy, edX, Khan Academy, Skillshare, FutureLearn

Use cases:

• Catalog aggregation
• Price/length benchmarking
• Skill-gap mapping
• Lead gen

Sample data output:

Course	Provider	Fee	Mode
Data Science Bootcamp	Coursera	$79	Online
MBA Marketing	Uni X	$9,500	On-campus

Read More

Sports & Fantasy

Selection needs live context. Pull fixtures, player stats, injuries, odds movement, and fantasy pricing.

We extract:

• Fixture
• Team
• Odds
• Player stats
• Injury notes
• Fantasy price

Popular platforms: ESPN, Opta Sports, Cricbuzz, FanDuel / Fantasy Leagues, SofaScore, Flashscore

Use cases:

• Fantasy projections
• Lineup alerts
• Odds movements
• Content automation

Sample data output:

Player	Stat	Value	Match
R. Sharma	Runs	68	IND vs AUS
S. Smith	Fantasy Price	9.5	–

Read More

Beauty & Cosmetics

Shades and variants change fast. Monitor shade coverage, ingredient flags, rank visibility, and price parity.

We extract:

• SKU/shade
• Finish
• Ingredients
• Price
• Rank
• Reviews

Popular platforms: Sephora, Nykaa, Ulta Beauty, Amazon Beauty, Myntra Beauty, Purplle

Use cases:

• Shade coverage
• Rank/visibility
• Price parity
• Ingredient flags

Sample data output:

Product	Shade	Price	Rank	Reviews
Matte Lip 16H	08 Rose	$12.99	4	1,240
Serum 2% BHA	–	$10.50	12	640

Read More

Luxury Goods

Brand control is critical. Compare boutique vs marketplace price, stock visibility, and grey-market signals.

We extract:

• Model
• Boutique price
• Marketplace price
• Stock
• Location

Popular platforms: Brand boutiques, Farfetch, SSENSE, eBay Authenticated, Net-a-Porter, The RealReal

Use cases:

• Grey-market watch
• MAP enforcement
• Regional price gaps
• Drop day tracking

Sample data output:

Item	Boutique	Market	Stock	Region
GG Marmont Mini	$1,290	$1,180	Low	EU
Speedy 25	$1,760	$1,880	In Stock	US

Read More

QSR / Fast Food Pricing

Menus shift by location and time. Benchmark item prices, combos, fees, and delivery vs pickup performance.

We extract:

• Item
• Size
• Price
• Combo/offer
• Fees
• ETA

Popular platforms: McDonald’s, KFC, Domino’s, Burger King apps/aggregators

Use cases:

• Price parity
• Offer mapping
• Fee transparency
• Delivery vs pickup

Sample data output:

Item	Price	Offer	Fee	ETA
Cheeseburger	$2.29	2 for $4	$1.49	18m
Large Fries	$2.59	–	$1.49	18m

Read More

Liquor Delivery (Apps & Marketplaces)

Liquor availability, pricing, and delivery timelines vary widely across regions. Capture product-level insights, discounts, reviews, and delivery trends in real time.

We extract:

• Liquor brands, product categories, and SKUs
• Bottle sizes, prices, and discounts
• Delivery charges & estimated delivery times
• Ratings, reviews, and customer feedback
• Availability by location or store

Popular platforms: Drizly, Saucey, Minibar Delivery, BevMo, Total Wine, Amazon Fresh

Use cases:

• Competitor liquor pricing comparison
• Seasonal demand and festive trend tracking
• Benchmarking discounts and promotions
• Regional liquor consumption insights

Sample data output:

Product / Brand	Price	Rating	Reviews	Availability
Jack Daniel’s Whiskey 750ml	$29.99	4.7★	5,430	Delivery in 45 mins
Heineken 6-Pack	$8.49	4.3★	2,910	Available
Absolut Vodka 1L	$21.99	4.6★	3,120	Out of Stock
Corona Extra 12-Pack	$13.99	4.5★	4,800	Delivery in 30 mins

Read More

Dating Apps (Profiles & Trends)

Dating app profiles, preferences, and engagement metrics shift constantly. Capture user activity insights, profile trends, pricing models, and feature usage across regions.

We extract:

• User profiles (age, gender, location, preferences)
• Profile activity (likes, matches, swipes)
• Subscription plans & pricing
• Ratings, reviews, and feedback
• In-app features usage & popularity

Popular platforms: Tinder, Hinge, OkCupid, Match.com, Plenty of Fish

Use cases:

• Competitor feature benchmarking
• Pricing model & subscription analysis
• Regional dating preferences & demand trends
• Match success rate & engagement analytics
• Review and feedback sentiment tracking

Sample data output:

App / Feature	Price	Rating	Reviews	Availability
Tinder Plus (1 Month)	$9.99	4.2★	150,200	Available Worldwide
Bumble Premium (1 Week)	$6.99	4.5★	120,500	Region-Limited
Hinge Preferred (Monthly)	$14.99	4.3★	89,320	Available
OkCupid Basic (Free Tier)	$0.00	4.0★	240,000	Available

Read More

How We Deliver Data

Real-Time APIs

Live, structured feeds

Batch Data Feeds

Daily, weekly, monthly

Custom Dashboards

Visual KPIs for managers

Cloud Storage Integration

AWS, GCP, Azure

GeoIp2\Model\City Object
(
    [raw:protected] => Array
        (
            [city] => Array
                (
                    [geoname_id] => 4509177
                    [names] => Array
                        (
                            [de] => Columbus
                            [en] => Columbus
                            [es] => Columbus
                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
                        )

                )

            [continent] => Array
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                    [code] => NA
                    [geoname_id] => 6255149
                    [names] => Array
                        (
                            [de] => Nordamerika
                            [en] => North America
                            [es] => Norteamérica
                            [fr] => Amérique du Nord
                            [ja] => 北アメリカ
                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
                        )

                )

            [country] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
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                            [fr] => États Unis
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                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [location] => Array
                (
                    [accuracy_radius] => 20
                    [latitude] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
                )

            [postal] => Array
                (
                    [code] => 43215
                )

            [registered_country] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [subdivisions] => Array
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                    [0] => Array
                        (
                            [geoname_id] => 5165418
                            [iso_code] => OH
                            [names] => Array
                                (
                                    [de] => Ohio
                                    [en] => Ohio
                                    [es] => Ohio
                                    [fr] => Ohio
                                    [ja] => オハイオ州
                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
                                )

                        )

                )

            [traits] => Array
                (
                    [ip_address] => 216.73.216.103
                    [prefix_len] => 22
                )

        )

    [continent:protected] => GeoIp2\Record\Continent Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [code] => NA
                    [geoname_id] => 6255149
                    [names] => Array
                        (
                            [de] => Nordamerika
                            [en] => North America
                            [es] => Norteamérica
                            [fr] => Amérique du Nord
                            [ja] => 北アメリカ
                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => code
                    [1] => geonameId
                    [2] => names
                )

        )

    [country:protected] => GeoIp2\Record\Country Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                )

        )

    [locales:protected] => Array
        (
            [0] => en
        )

    [maxmind:protected] => GeoIp2\Record\MaxMind Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                )

            [validAttributes:protected] => Array
                (
                    [0] => queriesRemaining
                )

        )

    [registeredCountry:protected] => GeoIp2\Record\Country Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                )

        )

    [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                    [5] => type
                )

        )

    [traits:protected] => GeoIp2\Record\Traits Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [ip_address] => 216.73.216.103
                    [prefix_len] => 22
                    [network] => 216.73.216.0/22
                )

            [validAttributes:protected] => Array
                (
                    [0] => autonomousSystemNumber
                    [1] => autonomousSystemOrganization
                    [2] => connectionType
                    [3] => domain
                    [4] => ipAddress
                    [5] => isAnonymous
                    [6] => isAnonymousProxy
                    [7] => isAnonymousVpn
                    [8] => isHostingProvider
                    [9] => isLegitimateProxy
                    [10] => isp
                    [11] => isPublicProxy
                    [12] => isResidentialProxy
                    [13] => isSatelliteProvider
                    [14] => isTorExitNode
                    [15] => mobileCountryCode
                    [16] => mobileNetworkCode
                    [17] => network
                    [18] => organization
                    [19] => staticIpScore
                    [20] => userCount
                    [21] => userType
                )

        )

    [city:protected] => GeoIp2\Record\City Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 4509177
                    [names] => Array
                        (
                            [de] => Columbus
                            [en] => Columbus
                            [es] => Columbus
                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => names
                )

        )

    [location:protected] => GeoIp2\Record\Location Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [accuracy_radius] => 20
                    [latitude] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
                )

            [validAttributes:protected] => Array
                (
                    [0] => averageIncome
                    [1] => accuracyRadius
                    [2] => latitude
                    [3] => longitude
                    [4] => metroCode
                    [5] => populationDensity
                    [6] => postalCode
                    [7] => postalConfidence
                    [8] => timeZone
                )

        )

    [postal:protected] => GeoIp2\Record\Postal Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [code] => 43215
                )

            [validAttributes:protected] => Array
                (
                    [0] => code
                    [1] => confidence
                )

        )

    [subdivisions:protected] => Array
        (
            [0] => GeoIp2\Record\Subdivision Object
                (
                    [record:GeoIp2\Record\AbstractRecord:private] => Array
                        (
                            [geoname_id] => 5165418
                            [iso_code] => OH
                            [names] => Array
                                (
                                    [de] => Ohio
                                    [en] => Ohio
                                    [es] => Ohio
                                    [fr] => Ohio
                                    [ja] => オハイオ州
                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
                                )

                        )

                    [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                        (
                            [0] => en
                        )

                    [validAttributes:protected] => Array
                        (
                            [0] => confidence
                            [1] => geonameId
                            [2] => isoCode
                            [3] => names
                        )

                )

        )

)

 country : United States

 city : Columbus

US

Array
(
    [as_domain] => amazon.com
    [as_name] => Amazon.com, Inc.
    [asn] => AS16509
    [continent] => North America
    [continent_code] => NA
    [country] => United States
    [country_code] => US
)

Start Your Project

+1 ▼

Select Service Web Scraping Real-Time API Access Data Dashboards Datasets Review & Sentiment Analysis Price Monitoring Custom Solution

Select Industry E-Commerce Quick Commerce Food Delivery Travel & OTA Grocery & Retail Real Estate Others

Target Country Web Scraping Services Mobile App Scraping Web and App Scraping API Datasets Dashboard

A$лвR$C$CHF¥Kčkr€£HK$FtRp₪₹kr¥₩Mex$RMkrNZ$₱złleikrS$฿₺$R Budget Range $500 - $1,000 - Starter Budget (POC/Single Site) $1,000 - $2,500 - Basic Plan (Small Business Needs) $2,500 - $5,000 - Growth Phase (Multi-site/Data Volume Projects) $5,000 - $10,000 - Business-Scale (Automation/API Integrations) $10,000 - $25,000 - Enterprise Projects (Real-Time Systems, Global Data) $25,000 - $50,000 - Enterprise+ (Custom Dashboards, Ongoing Support) $50,000+ - Strategic Partnership (End-to-End Data Ops)

Additional Trust Elements

✨ "1000+ Projects Delivered Globally"

⭐ "Rated 4.9/5 on Google & G2"

🔒 "Your data is secure with us. NDA available."

💬 "Average Response Time: Under 12 hours"

From Raw Data to Real-Time Decisions

All in One Pipeline

Scrape → Structure → Analyze → Visualize

Explore Solutions Get a Custom Demo

Look Back Analyze historical data to discover patterns, anomalies, and shifts in customer behavior.

Find Insights Use AI to connect data points and uncover market changes. Meanwhile.

Move Forward Predict demand, price shifts, and future opportunities across geographies.

Ecommerce

Q-Commerce

Travel & OTA

Food Delivery

Real Estate

Social Media

Trusted by Global Leaders – Secured by International Standards

Industry:

Coffee / Beverage / D2C

Result

2x Faster

Smarter product targeting

★★★★★

“Actowiz Solutions has been instrumental in optimizing our data scraping processes. Their services have provided us with valuable insights into our customer preferences, helping us stay ahead of the competition.”

Operations Manager, Beanly Coffee

✓ Competitive insights from multiple platforms

Industry:

Real Estate

Result

2x Faster

Real-time RERA insights for 20+ states

★★★★★

“Actowiz Solutions provided exceptional RERA Website Data Scraping Solution Service across PAN India, ensuring we received accurate and up-to-date real estate data for our analysis.”

Data Analyst, Aditya Birla Group

✓ Boosted data acquisition speed by 3×

Industry:

Organic Grocery / FMCG

Result

Improved

competitive benchmarking

★★★★★

“With Actowiz Solutions' data scraping, we’ve gained a clear edge in tracking product availability and pricing across various platforms. Their service has been a key to improving our market intelligence.”

Product Manager, 24Mantra Organic

✓ Real-time SKU-level tracking

Industry:

Quick Commerce

Result

2x Faster

Inventory Decisions

★★★★★

“Actowiz Solutions has greatly helped us monitor product availability from top three Quick Commerce brands. Their real-time data and accurate insights have streamlined our inventory management and decision-making process. Highly recommended!”

Aarav Shah, Senior Data Analyst, Mensa Brands

✓ 28% product availability accuracy

✓ Reduced OOS by 34% in 3 weeks

Industry:

Quick Commerce

Result

3x Faster

improvement in operational efficiency

★★★★★

“Actowiz Solutions' data scraping services have helped streamline our processes and improve our operational efficiency. Their expertise has provided us with actionable data to enhance our market positioning.”

Business Development Lead,Organic Tattva

✓ Weekly competitor pricing feeds

Industry:

Beverage / D2C

Result

Faster

Trend Detection

★★★★★

“The data scraping services offered by Actowiz Solutions have been crucial in refining our strategies. They have significantly improved our ability to analyze and respond to market trends quickly.”

Marketing Director, Sleepyowl Coffee

Boosted marketing responsiveness

Industry:

Quick Commerce

Result

Enhanced

stock tracking across SKUs

★★★★★

“Actowiz Solutions provided accurate Product Availability and Ranking Data Collection from 3 Quick Commerce Applications, improving our product visibility and stock management.”

Growth Analyst, TheBakersDozen.in

✓ Improved rank visibility of top products

Trusted by Industry Leaders Worldwide

Real results from real businesses using Actowiz Solutions

★★★★★

'Great value for the money. The expertise you get vs. what you pay makes this a no brainer"

Thomas Galido

Co-Founder / Head of Product at Upright Data Inc.

2 min

★★★★★

“I strongly recommend Actowiz Solutions for their outstanding web scraping services. Their team delivered impeccable results with a nice price, ensuring data on time.”

Iulen Ibanez

CEO / Datacy.es

1 min

★★★★★

“Actowiz Solutions offered exceptional support with transparency and guidance throughout. Anna and Saga made the process easy for a non-technical user like me. Great service, fair pricing highly recommended!”

Febbin Chacko

-Fin, Small Business Owner

1 min

See Actowiz in Action – Real-Time Scraping Dashboard + Success Insights

Blinkit (Delhi NCR)

In Stock
₹524

Amazon USA

Price Drop + 12 min
in 6 hrs across Lel.6

Appzon AirPdos Pro

Price
Drop −12 thr

Zepto (Mumbai)

Improved inventory
visibility & planning

Monitor Prices, Availability & Trends -Live Across Regions

Actowiz's real-time scraping dashboard helps you monitor stock levels, delivery times, and price drops across Blinkit, Amazon: Zepto & more.

✔ Scraped Data: Price Insights Top-selling SKUs

Request Demo Access

Our Data Drives Impact - Real Client Stories

Blinkit | India (Retail Partner)

"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"

✔ Scraped Data, SKU availability, delivery time

US Electronics Seller (Amazon - Walmart)

With hourly price monitoring, we aligned promotions with competitors, drove 17%

✔ Scraped Data, SKU availability, delivery time

Zepto Q Commerce Brand

"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"

✔ Scraped Data, SKU availability, delivery time

Actowiz Insights Hub

Actionable Blogs, Real Case Studies, and Visual Data Stories -All in One Place

All

Blog

Case Studies

Infographics

Report

Sep 25, 2025

AI Scraper for Carrefour and Cdiscount Price Monitoring - Smart Analytics for Retail Price Trends

Use an AI scraper for Carrefour and Cdiscount price monitoring to track real-time pricing trends, optimize retail strategies, and gain competitive insights.

Wayfair Price History Scraping - Identifying the Best Times to Buy

A data-driven case study using Wayfair price history scraping to reveal buying patterns, uncover discount cycles, and identify the best times to shop.

Festive Price Surge Tracker: Amazon Fresh vs BigBasket vs JioMart in India

Track how prices of sweets, snacks, and groceries surged across Amazon Fresh, BigBasket, and JioMart during Diwali & Navratri in India with Actowiz festive price insights.

Leveraging Quick Commerce Price Intelligence - Key Findings from0 Zepto Data Analysis

A research report leveraging Quick Commerce Price Intelligence, analyzing Zepto data to uncover pricing trends, competitive insights, and market opportunities.

Sep 25, 2025

AI Scraper for Carrefour and Cdiscount Price Monitoring - Smart Analytics for Retail Price Trends

Use an AI scraper for Carrefour and Cdiscount price monitoring to track real-time pricing trends, optimize retail strategies, and gain competitive insights.

Sep 24, 2025

Web Crawling for US Grocery Platforms - Discovering Market Leaders and Key Insights

Explore how web crawling for US grocery platforms reveals market leaders, consumer trends, and key insights shaping the future of online grocery.

Sep 24, 2025

How Data Scraping for Luxury Retailers Reveals Regional Buying Patterns and Market Insights?

Discover how data scraping for luxury retailers uncovers regional buying patterns, consumer trends, and market insights to drive smarter business decisions.

Read More

Wayfair Price History Scraping - Identifying the Best Times to Buy

A data-driven case study using Wayfair price history scraping to reveal buying patterns, uncover discount cycles, and identify the best times to shop.

Cross-Platform Rental Price Comparison for Smarter Insights - Analyzing Airbnb, Booking.com & Vrbo Listings

cross-platform rental price comparison, analyzing Airbnb, Booking.com & Vrbo listings to reveal pricing trends and smarter booking insights.

Price Comparison Study - How Menu Price Comparison for Swiggy and Zomato Improves Retail Insights

Menu Price Comparison for Swiggy and Zomato: Real-time menu data extraction helps retailers track prices, optimize menus, and gain actionable insights.

Read More

Festive Price Surge Tracker: Amazon Fresh vs BigBasket vs JioMart in India

Track how prices of sweets, snacks, and groceries surged across Amazon Fresh, BigBasket, and JioMart during Diwali & Navratri in India with Actowiz festive price insights.

Top 5 Brands Offering Deepest Discounts on Clothes This Navratri

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Read More

Our perks are irreplaceable

Time Zone Flexibility

Benefit from the ease of collaboration with Actowiz Solutions, as our team is aligned with your preferred time zone, ensuring smooth communication and timely delivery.

Clear Communication

Our team focuses on clear, transparent communication to ensure that every project is aligned with your goals and that you’re always informed of progress.

Uncompromising Quality

Actowiz Solutions adheres to the highest global standards of development, delivering exceptional solutions that consistently exceed industry expectations

Our Affiliations

Actowiz Insights Hub

Actionable Blogs, Real Case Studies, and Visual Data Stories -All in One Place

All

Blog

Case Studies

Infographics

Report

Sep 25, 2025

AI Scraper for Carrefour and Cdiscount Price Monitoring - Smart Analytics for Retail Price Trends

Use an AI scraper for Carrefour and Cdiscount price monitoring to track real-time pricing trends, optimize retail strategies, and gain competitive insights.

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A data-driven case study using Wayfair price history scraping to reveal buying patterns, uncover discount cycles, and identify the best times to shop.

Festive Price Surge Tracker: Amazon Fresh vs BigBasket vs JioMart in India

Track how prices of sweets, snacks, and groceries surged across Amazon Fresh, BigBasket, and JioMart during Diwali & Navratri in India with Actowiz festive price insights.

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A research report leveraging Quick Commerce Price Intelligence, analyzing Zepto data to uncover pricing trends, competitive insights, and market opportunities.

Sep 25, 2025

AI Scraper for Carrefour and Cdiscount Price Monitoring - Smart Analytics for Retail Price Trends

Use an AI scraper for Carrefour and Cdiscount price monitoring to track real-time pricing trends, optimize retail strategies, and gain competitive insights.

Sep 24, 2025

Web Crawling for US Grocery Platforms - Discovering Market Leaders and Key Insights

Explore how web crawling for US grocery platforms reveals market leaders, consumer trends, and key insights shaping the future of online grocery.

Sep 24, 2025

How Data Scraping for Luxury Retailers Reveals Regional Buying Patterns and Market Insights?

Discover how data scraping for luxury retailers uncovers regional buying patterns, consumer trends, and market insights to drive smarter business decisions.

Read More

Wayfair Price History Scraping - Identifying the Best Times to Buy

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cross-platform rental price comparison, analyzing Airbnb, Booking.com & Vrbo listings to reveal pricing trends and smarter booking insights.

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Read More

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Score big this Navratri 2025! Discover the top 5 brands offering the biggest clothing discounts and grab stylish festive outfits at unbeatable prices.

Top 10 Most Ordered Grocery Items During Navratri 2025

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Read More

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Read More

GeoIp2\Model\City Object
(
    [raw:protected] => Array
        (
            [city] => Array
                (
                    [geoname_id] => 4509177
                    [names] => Array
                        (
                            [de] => Columbus
                            [en] => Columbus
                            [es] => Columbus
                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
                        )

                )

            [continent] => Array
                (
                    [code] => NA
                    [geoname_id] => 6255149
                    [names] => Array
                        (
                            [de] => Nordamerika
                            [en] => North America
                            [es] => Norteamérica
                            [fr] => Amérique du Nord
                            [ja] => 北アメリカ
                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
                        )

                )

            [country] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
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                            [ru] => США
                            [zh-CN] => 美国
                        )

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            [location] => Array
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                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
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            [postal] => Array
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                    [code] => 43215
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            [registered_country] => Array
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                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [subdivisions] => Array
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                    [0] => Array
                        (
                            [geoname_id] => 5165418
                            [iso_code] => OH
                            [names] => Array
                                (
                                    [de] => Ohio
                                    [en] => Ohio
                                    [es] => Ohio
                                    [fr] => Ohio
                                    [ja] => オハイオ州
                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
                                )

                        )

                )

            [traits] => Array
                (
                    [ip_address] => 216.73.216.103
                    [prefix_len] => 22
                )

        )

    [continent:protected] => GeoIp2\Record\Continent Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [code] => NA
                    [geoname_id] => 6255149
                    [names] => Array
                        (
                            [de] => Nordamerika
                            [en] => North America
                            [es] => Norteamérica
                            [fr] => Amérique du Nord
                            [ja] => 北アメリカ
                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => code
                    [1] => geonameId
                    [2] => names
                )

        )

    [country:protected] => GeoIp2\Record\Country Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                )

        )

    [locales:protected] => Array
        (
            [0] => en
        )

    [maxmind:protected] => GeoIp2\Record\MaxMind Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                )

            [validAttributes:protected] => Array
                (
                    [0] => queriesRemaining
                )

        )

    [registeredCountry:protected] => GeoIp2\Record\Country Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                )

        )

    [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                    [5] => type
                )

        )

    [traits:protected] => GeoIp2\Record\Traits Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [ip_address] => 216.73.216.103
                    [prefix_len] => 22
                    [network] => 216.73.216.0/22
                )

            [validAttributes:protected] => Array
                (
                    [0] => autonomousSystemNumber
                    [1] => autonomousSystemOrganization
                    [2] => connectionType
                    [3] => domain
                    [4] => ipAddress
                    [5] => isAnonymous
                    [6] => isAnonymousProxy
                    [7] => isAnonymousVpn
                    [8] => isHostingProvider
                    [9] => isLegitimateProxy
                    [10] => isp
                    [11] => isPublicProxy
                    [12] => isResidentialProxy
                    [13] => isSatelliteProvider
                    [14] => isTorExitNode
                    [15] => mobileCountryCode
                    [16] => mobileNetworkCode
                    [17] => network
                    [18] => organization
                    [19] => staticIpScore
                    [20] => userCount
                    [21] => userType
                )

        )

    [city:protected] => GeoIp2\Record\City Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 4509177
                    [names] => Array
                        (
                            [de] => Columbus
                            [en] => Columbus
                            [es] => Columbus
                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => names
                )

        )

    [location:protected] => GeoIp2\Record\Location Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [accuracy_radius] => 20
                    [latitude] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
                )

            [validAttributes:protected] => Array
                (
                    [0] => averageIncome
                    [1] => accuracyRadius
                    [2] => latitude
                    [3] => longitude
                    [4] => metroCode
                    [5] => populationDensity
                    [6] => postalCode
                    [7] => postalConfidence
                    [8] => timeZone
                )

        )

    [postal:protected] => GeoIp2\Record\Postal Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [code] => 43215
                )

            [validAttributes:protected] => Array
                (
                    [0] => code
                    [1] => confidence
                )

        )

    [subdivisions:protected] => Array
        (
            [0] => GeoIp2\Record\Subdivision Object
                (
                    [record:GeoIp2\Record\AbstractRecord:private] => Array
                        (
                            [geoname_id] => 5165418
                            [iso_code] => OH
                            [names] => Array
                                (
                                    [de] => Ohio
                                    [en] => Ohio
                                    [es] => Ohio
                                    [fr] => Ohio
                                    [ja] => オハイオ州
                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
                                )

                        )

                    [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                        (
                            [0] => en
                        )

                    [validAttributes:protected] => Array
                        (
                            [0] => confidence
                            [1] => geonameId
                            [2] => isoCode
                            [3] => names
                        )

                )

        )

)

 country : United States

 city : Columbus

US

Array
(
    [as_domain] => amazon.com
    [as_name] => Amazon.com, Inc.
    [asn] => AS16509
    [continent] => North America
    [continent_code] => NA
    [country] => United States
    [country_code] => US
)

Start Your Project

+1 ▼

Select Service Web Scraping Real-Time API Access Data Dashboards Datasets Review & Sentiment Analysis Price Monitoring Custom Solution

Select Industry E-Commerce Quick Commerce Food Delivery Travel & OTA Grocery & Retail Real Estate Others

Target Country Web Scraping Services Mobile App Scraping Web and App Scraping API Datasets Dashboard

A$лвR$C$CHF¥Kčkr€£HK$FtRp₪₹kr¥₩Mex$RMkrNZ$₱złleikrS$฿₺$R Budget Range $500 - $1,000 - Starter Budget (POC/Single Site) $1,000 - $2,500 - Basic Plan (Small Business Needs) $2,500 - $5,000 - Growth Phase (Multi-site/Data Volume Projects) $5,000 - $10,000 - Business-Scale (Automation/API Integrations) $10,000 - $25,000 - Enterprise Projects (Real-Time Systems, Global Data) $25,000 - $50,000 - Enterprise+ (Custom Dashboards, Ongoing Support) $50,000+ - Strategic Partnership (End-to-End Data Ops)

Additional Trust Elements

✨ "1000+ Projects Delivered Globally"

⭐ "Rated 4.9/5 on Google & G2"

🔒 "Your data is secure with us. NDA available."

💬 "Average Response Time: Under 12 hours"

From Raw Data to Real-Time Decisions

All in One Pipeline

Scrape → Structure → Analyze → Visualize

Explore Solutions Get a Custom Demo

Look Back Analyze historical data to discover patterns, anomalies, and shifts in customer behavior.

Find Insights Use AI to connect data points and uncover market changes. Meanwhile.

Move Forward Predict demand, price shifts, and future opportunities across geographies.

Ecommerce

Q-Commerce

Travel & OTA

Food Delivery

Real Estate

Social Media

Trusted by Global Leaders – Secured by International Standards

Industry:

Coffee / Beverage / D2C

Result

2x Faster

Smarter product targeting

★★★★★

“Actowiz Solutions has been instrumental in optimizing our data scraping processes. Their services have provided us with valuable insights into our customer preferences, helping us stay ahead of the competition.”

Operations Manager, Beanly Coffee

✓ Competitive insights from multiple platforms

Industry:

Real Estate

Result

2x Faster

Real-time RERA insights for 20+ states

★★★★★

“Actowiz Solutions provided exceptional RERA Website Data Scraping Solution Service across PAN India, ensuring we received accurate and up-to-date real estate data for our analysis.”

Data Analyst, Aditya Birla Group

✓ Boosted data acquisition speed by 3×

Industry:

Organic Grocery / FMCG

Result

Improved

competitive benchmarking

★★★★★

“With Actowiz Solutions' data scraping, we’ve gained a clear edge in tracking product availability and pricing across various platforms. Their service has been a key to improving our market intelligence.”

Product Manager, 24Mantra Organic

✓ Real-time SKU-level tracking

Industry:

Quick Commerce

Result

2x Faster

Inventory Decisions

★★★★★

“Actowiz Solutions has greatly helped us monitor product availability from top three Quick Commerce brands. Their real-time data and accurate insights have streamlined our inventory management and decision-making process. Highly recommended!”

Aarav Shah, Senior Data Analyst, Mensa Brands

✓ 28% product availability accuracy

✓ Reduced OOS by 34% in 3 weeks

Industry:

Quick Commerce

Result

3x Faster

improvement in operational efficiency

★★★★★

“Actowiz Solutions' data scraping services have helped streamline our processes and improve our operational efficiency. Their expertise has provided us with actionable data to enhance our market positioning.”

Business Development Lead,Organic Tattva

✓ Weekly competitor pricing feeds

Industry:

Beverage / D2C

Result

Faster

Trend Detection

★★★★★

“The data scraping services offered by Actowiz Solutions have been crucial in refining our strategies. They have significantly improved our ability to analyze and respond to market trends quickly.”

Marketing Director, Sleepyowl Coffee

Boosted marketing responsiveness

Industry:

Quick Commerce

Result

Enhanced

stock tracking across SKUs

★★★★★

“Actowiz Solutions provided accurate Product Availability and Ranking Data Collection from 3 Quick Commerce Applications, improving our product visibility and stock management.”

Growth Analyst, TheBakersDozen.in

✓ Improved rank visibility of top products

Trusted by Industry Leaders Worldwide

Real results from real businesses using Actowiz Solutions

★★★★★

'Great value for the money. The expertise you get vs. what you pay makes this a no brainer"

Thomas Galido

Co-Founder / Head of Product at Upright Data Inc.

2 min

★★★★★

“I strongly recommend Actowiz Solutions for their outstanding web scraping services. Their team delivered impeccable results with a nice price, ensuring data on time.”

Iulen Ibanez

CEO / Datacy.es

1 min

★★★★★

“Actowiz Solutions offered exceptional support with transparency and guidance throughout. Anna and Saga made the process easy for a non-technical user like me. Great service, fair pricing highly recommended!”

Febbin Chacko

-Fin, Small Business Owner

1 min

See Actowiz in Action – Real-Time Scraping Dashboard + Success Insights

Blinkit (Delhi NCR)

In Stock
₹524

Amazon USA

Price Drop + 12 min
in 6 hrs across Lel.6

Appzon AirPdos Pro

Price
Drop −12 thr

Zepto (Mumbai)

Improved inventory
visibility & planning

Monitor Prices, Availability & Trends -Live Across Regions

Actowiz's real-time scraping dashboard helps you monitor stock levels, delivery times, and price drops across Blinkit, Amazon: Zepto & more.

✔ Scraped Data: Price Insights Top-selling SKUs

Request Demo Access

Our Data Drives Impact - Real Client Stories

Blinkit | India (Retail Partner)

"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"

✔ Scraped Data, SKU availability, delivery time

US Electronics Seller (Amazon - Walmart)

With hourly price monitoring, we aligned promotions with competitors, drove 17%

✔ Scraped Data, SKU availability, delivery time

Zepto Q Commerce Brand

"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"

✔ Scraped Data, SKU availability, delivery time

Actowiz Insights Hub

Actionable Blogs, Real Case Studies, and Visual Data Stories -All in One Place

All

Blog

Case Studies

Infographics

Report

Sep 25, 2025

AI Scraper for Carrefour and Cdiscount Price Monitoring - Smart Analytics for Retail Price Trends

Use an AI scraper for Carrefour and Cdiscount price monitoring to track real-time pricing trends, optimize retail strategies, and gain competitive insights.

Wayfair Price History Scraping - Identifying the Best Times to Buy

A data-driven case study using Wayfair price history scraping to reveal buying patterns, uncover discount cycles, and identify the best times to shop.

Festive Price Surge Tracker: Amazon Fresh vs BigBasket vs JioMart in India

Track how prices of sweets, snacks, and groceries surged across Amazon Fresh, BigBasket, and JioMart during Diwali & Navratri in India with Actowiz festive price insights.

Leveraging Quick Commerce Price Intelligence - Key Findings from0 Zepto Data Analysis

A research report leveraging Quick Commerce Price Intelligence, analyzing Zepto data to uncover pricing trends, competitive insights, and market opportunities.

Sep 25, 2025

AI Scraper for Carrefour and Cdiscount Price Monitoring - Smart Analytics for Retail Price Trends

Use an AI scraper for Carrefour and Cdiscount price monitoring to track real-time pricing trends, optimize retail strategies, and gain competitive insights.

Sep 24, 2025

Web Crawling for US Grocery Platforms - Discovering Market Leaders and Key Insights

Explore how web crawling for US grocery platforms reveals market leaders, consumer trends, and key insights shaping the future of online grocery.

Sep 24, 2025

How Data Scraping for Luxury Retailers Reveals Regional Buying Patterns and Market Insights?

Discover how data scraping for luxury retailers uncovers regional buying patterns, consumer trends, and market insights to drive smarter business decisions.

Read More

Wayfair Price History Scraping - Identifying the Best Times to Buy

A data-driven case study using Wayfair price history scraping to reveal buying patterns, uncover discount cycles, and identify the best times to shop.

Cross-Platform Rental Price Comparison for Smarter Insights - Analyzing Airbnb, Booking.com & Vrbo Listings

cross-platform rental price comparison, analyzing Airbnb, Booking.com & Vrbo listings to reveal pricing trends and smarter booking insights.

Price Comparison Study - How Menu Price Comparison for Swiggy and Zomato Improves Retail Insights

Menu Price Comparison for Swiggy and Zomato: Real-time menu data extraction helps retailers track prices, optimize menus, and gain actionable insights.

Read More

Festive Price Surge Tracker: Amazon Fresh vs BigBasket vs JioMart in India

Track how prices of sweets, snacks, and groceries surged across Amazon Fresh, BigBasket, and JioMart during Diwali & Navratri in India with Actowiz festive price insights.

Top 5 Brands Offering Deepest Discounts on Clothes This Navratri

Score big this Navratri 2025! Discover the top 5 brands offering the biggest clothing discounts and grab stylish festive outfits at unbeatable prices.

Top 10 Most Ordered Grocery Items During Navratri 2025

Discover the top 10 most ordered grocery items during Navratri 2025. Explore popular festive essentials for fasting, cooking, and celebrations.

Read More

Leveraging Quick Commerce Price Intelligence - Key Findings from0 Zepto Data Analysis

A research report leveraging Quick Commerce Price Intelligence, analyzing Zepto data to uncover pricing trends, competitive insights, and market opportunities.

Ride-Hailing Competition in NYC - Uber, Lyft & Yellow Cab Pricing Analysis

Ride-Hailing Price Comparison in NYC - An in-depth analysis of Uber, Lyft, and Yellow Cab fares, highlighting cost trends and competitive insights.

Unlocking Price Trends – Blinkit vs BigBasket Market Data Analysis 2025 with Comparative Price Intelligence

Discover key insights from Blinkit vs BigBasket Market Data Analysis 2025—unlock price trends and boost growth with comparative price intelligence.

Read More

Our perks are irreplaceable

Time Zone Flexibility

Benefit from the ease of collaboration with Actowiz Solutions, as our team is aligned with your preferred time zone, ensuring smooth communication and timely delivery.

Clear Communication

Our team focuses on clear, transparent communication to ensure that every project is aligned with your goals and that you’re always informed of progress.

Uncompromising Quality

Actowiz Solutions adheres to the highest global standards of development, delivering exceptional solutions that consistently exceed industry expectations

Our Affiliations