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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] => 216.73.216.51
                    [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] => 216.73.216.51
                    [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
)

Improved Milk Basket Datasets

After the initial scraping process, Milk Basket datasets are enriched with additional data points, providing deeper insights into consumer behavior and market dynamics.

Enhanced Milk Basket datasets offer deeper insights into consumer behavior and market dynamics, driving informed decisions and optimizing strategies for sustainable growth.

Frame.svg
IdProduct_NameBrandCategoryPriceUnit_SizeAvailabilityRatingReviews_CountDiscountDelivery_FeeStock_QuantitySKUDescriptionOrganicExpiry_DateProduct_URL
1Full Cream MilkAmulDairy₹ 55.001 literIn Stock4.5220None₹ 0.00500AMUL-MILK-001Fresh Amul full cream milk, rich and creamy.No15-07-2025https://milkbasket.com/product/amul-full-cream-milk-1-liter-001
2Cow GheeGovardhanDairy₹ 480.00500 mlIn Stock4.71505% off₹ 0.00150GOV-GHEE-002Pure cow ghee, made traditionally.No01-01-2026https://milkbasket.com/product/govardhan-cow-ghee-500ml-002
Download

Optimizing Assortment Strategies

Leverage Milk Basket Datasets to analyze consumer behavior, monitor product availability, and refine assortment strategies for enhanced customer satisfaction and market competitiveness.

Get Started
Optimizing-Assortment-Strategies-01

Pincode-Specific Assortment

Scrape Milk Basket Quick Commerce data to monitor product availability across various pincode regions, enabling tailored assortment strategies to meet diverse customer demands effectively.

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Pincode-Specific-Assortment-01

Assortment Analytics

Extract valuable insights from Milk Basket Datasets to identify consumer preferences, trends, and demand patterns, facilitating data-driven decision-making and optimized inventory management strategies.

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Assortment-Analytics-01

Multi-Pincode Assortment Planning

Use Milk Basket Datasets to plan and optimize product assortment across multiple pincode regions, ensuring efficient distribution and maximizing customer convenience and satisfaction.

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Multi-Pincode-Assortment-Planning-01

Features of Datasets

Get structured and easy-to-use datasets for each use case.

Structure Maintenance

We maintain data sets depending on structural changes in the website.

Customized Output Fields

You can define customized Output Fields depending on your business needs.

24/7 Assistance

We offer all-time support to our clients whenever they ask us.

Subscription

Depending on predefined scheduled subscription to data feeds of updated records.

Multiple Options for Delivery

Google Cloud PubSun, Microsoft Azure, Amazon S3, and SFTP.

Multiple Output File Formats

Get datasets in various formats like Excel, CSV, ndJSON, or JSON.

Dedicated Account Manager

We assign a dedicated account manager to manage your data scraping.

Data Scaling

Assign servers to manage thousands of data requests.

Data with Quality Assurance

Don't worry about the data quality; focus on better decision-making with accurate and reliable data.

You focus on significant business activities; we will handle your data needs.

Hassle-free Discovery

Click all the data points appearing on the websites that you find challenging to uncover if you try to collect them yourself.

Complete and Correct

Get precise, complete, and fresh datasets covering millions of web pages with billions of data fields.

Enriched Data

Boost the usability and value of your data sets by adding several data resources to generate a valuable and accurate dataset.

Leaders in Compliance

Actowiz Solutions is fully committed to complying with data protection rules and regulations, including CCPA and GDPR.

Prefer to scrape the data yourself?

Try our Web Scraper IDE, built on our patented proxy and unblocking technology.

Different Formats

We will deliver datasets in formats like CSV, Excel, ndJSON, or JSON to your preferred storage system.

We use Google Drives, Cloud Storage, AWS, SFTP, and other platforms to deliver the data.

Flexible Pricing

Pricing will depend on your requirements for data quantity and difficulty level. So share your requirements with our team, and we will quote after analyzing your requirements.

  • Free samples for already available datasets
  • Price begins from 0.001 USD per record
  • Dedicated account manager and support system
Monitor-SKUs,-sales-volume,

15,000+
Customers
Worldwide

Monitor-SKUs,-sales-volume,

Category Leader
#1 in Web Data
Monitor-SKUs,-sales-volume,

Analyze-entire-product

Used by: Business Leaders, Decision Makers, Analysts, Academics, Software Engineers, IT Professionals

Operational-dashboard

Fortune 500 Companies, Academic Institutions, Small-Medium Businesses, NGOs

FAQ
Amazon Dataset consists of various data fields per your business needs, like Product name, seller ID, reviews, ratings, description, brands, prices, category, discount offers, ASIN, etc.
Yes, we will provide updates to your datasets on customized frequency.

Yes, you can procure an Amazon subset with limited data points and less cost.

If you are not planning to procure an Amazon dataset, consider scraping Amazon data using our scraper.

From Raw Data to Real-Time Decisions

All in One Pipeline

Scrape Structure Analyze Visualize

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.

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 Gallao
Thomas Galido
Co-Founder / Head of Product at Upright Data Inc.
Product Image
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.”
Thomas Gallao
Iulen Ibanez
CEO / Datacy.es
Product Image
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!”
Thomas Gallao
Febbin Chacko
-Fin, Small Business Owner
Product Image
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

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
Nov 14, 2025

How to Extract Real-Time Flight & Hotel Price Data from Expedia & Booking.com for Travel Market Insights?

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Enhancing Airline Operations via Airline Data Scraping from OTAs – Real-Time Insights from Expedia, Priceline, Orbitz, Travelocity, and Kayak

Discover how Airline Data Scraping from OTAs like Expedia, Priceline, Orbitz provides real-time insights to improve airline service quality and operational efficiency.

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How to Extract Real-Time Flight & Hotel Price Data from Expedia & Booking.com for Travel Market Insights?

Learn how to extract real-time flight and hotel price data from Expedia and Booking.com to gain travel market insights, optimize pricing strategies, and track trends effectively.

Nov 13, 2025

How Retailers Use Supermarket Data Scraping to Track 15% Average Price Fluctuations Across Categories

Discover how Supermarket Data Scraping helps retailers track 15% average price fluctuations across categories, optimize pricing strategies, and gain a competitive edge in real-time.

Nov 13, 2025

Real-Time Grocery Price Comparison - BigBasket, Zepto & Blinkit Show 12% Variation in Daily Essentials Pricing

Discover how Real-Time Grocery Price Comparison across BigBasket, Zepto, and Blinkit reveals a 12% variation in daily essentials prices, helping shoppers save smartly.

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Monitoring Restaurant Performance on Rappi with Rappi Menu and Rating Datasets

Discover how Rappi Menu and Rating Datasets helped monitor restaurant performance, track customer feedback, and optimize operations on Rappi.

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Unlocking Competitive Insights with H&M vs Zara Fashion Dataset - Real-Time Discounts and Inventory Analysis

Discover how the H&M vs Zara Fashion Dataset helps track real-time discounts, inventory trends, and competitive insights for smarter fashion retail decisions.

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Competitive Insights from Shopee vs Lazada Real-Time Product Monitoring

Explore competitive insights from Shopee vs Lazada real-time product monitoring, analyzing pricing, availability, and market trends to optimize e-commerce strategies effectively.

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Enhancing Airline Operations via Airline Data Scraping from OTAs – Real-Time Insights from Expedia, Priceline, Orbitz, Travelocity, and Kayak

Discover how Airline Data Scraping from OTAs like Expedia, Priceline, Orbitz provides real-time insights to improve airline service quality and operational efficiency.

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Grocery Intelligence — U.S. Online Grocery Product Mapping Report 2025

Explore Grocery Intelligence insights in the U.S. Online Grocery Product Mapping Report 2025 by Actowiz Solutions — SKU trends, pricing gaps, and platform accuracy.

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Analyzing Quick Commerce Price Dynamics in India - Zepto vs Blinkit vs Swiggy Instamart

Analyzing Quick Commerce Price Dynamics in India: Compare Zepto, Blinkit, and Swiggy Instamart to track pricing trends and insights.

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