Actowiz Metrics Now Live!

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Actowiz Metrics Now Live!

Unlock Smarter , Faster Analytics!

Actowiz Metrics Now Live!

Unlock Smarter , Faster Analytics!

Actowiz Metrics Now Live!

Unlock Smarter , Faster Analytics!

Actowiz Metrics Now Live!

Unlock Smarter , Faster Analytics!

Actowiz Metrics Now Live!

Unlock Smarter , Faster Analytics!

Actowiz Metrics Now Live!

Unlock Smarter , Faster Analytics!

Actowiz Metrics Now Live!

Unlock Smarter , Faster Analytics!

Actowiz Metrics Now Live!

Unlock Smarter , Faster Analytics!

Actowiz Metrics Now Live!

Unlock Smarter , Faster Analytics!

Actowiz Metrics Now Live!

Unlock Smarter , Faster Analytics!

Actowiz Metrics Now Live!

Unlock Smarter , Faster Analytics!

GeoIp2\Model\City Object
(
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                            [ja] => コロンバス
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    [continent:protected] => GeoIp2\Record\Continent Object
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                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
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            [validAttributes:protected] => Array
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    [country:protected] => GeoIp2\Record\Country Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [geoname_id] => 6252001
                    [iso_code] => US
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            [validAttributes:protected] => Array
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    [locales:protected] => Array
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    [maxmind:protected] => GeoIp2\Record\MaxMind Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                )

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

    [registeredCountry:protected] => GeoIp2\Record\Country Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
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                            [de] => USA
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                            [ru] => США
                            [zh-CN] => 美国
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    [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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            [validAttributes:protected] => Array
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                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                    [5] => type
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        )

    [traits:protected] => GeoIp2\Record\Traits Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [ip_address] => 216.73.216.155
                    [prefix_len] => 22
                    [network] => 216.73.216.0/22
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            [validAttributes:protected] => Array
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                    [10] => isp
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                    [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
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [names] => Array
                        (
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                            [en] => Columbus
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                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
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            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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            [validAttributes:protected] => Array
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                    [1] => geonameId
                    [2] => names
                )

        )

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

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

        )

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

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

        )

    [subdivisions:protected] => Array
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            [0] => GeoIp2\Record\Subdivision Object
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                    [record:GeoIp2\Record\AbstractRecord:private] => Array
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                            [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
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                            [0] => en
                        )

                    [validAttributes:protected] => Array
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)

 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
)

Introduction

In 2026, grocery commerce in the United States is no longer limited to physical shelves. Platforms like DoorDash and Instacart have transformed how consumers in cities like Chicago discover products, compare prices, and respond to promotions.

For FMCG brands, distributors, private labels, and retail analytics teams, the real opportunity lies in tracking:

• Units sold trends
• Promotional frequency
• Discount depth
• Store-level price variation
• Stock availability

This blog explains how Actowiz Solutions implemented large-scale grocery data scraping across DoorDash and Instacart in Chicago to extract units sold signals and promotional intelligence.

Why Chicago Is a High-Value Grocery Market

Chicago is one of the largest metro markets in the Midwest, with:

• Dense urban population
• Strong suburban consumption
• High online grocery adoption
• Multi-chain retail competition

Major grocery chains listed on DoorDash and Instacart in Chicago include:

• National supermarkets
• Regional grocery chains
• Discount retailers
• Specialty organic stores

Online grocery price volatility in Chicago is among the highest in the Midwest, especially during:

• Holiday weekends
• Weather disruptions
• Sports events
• Inflation spikes

Monitoring units sold and promotions in real time helps brands protect shelf visibility and pricing strategy.

Client Overview

The client was a U.S.-based FMCG brand selling packaged snacks and beverages across Chicago grocery chains via:

• Instacart marketplace listings
• DoorDash grocery section
• Direct retailer integrations

Their key challenge:
“We don’t know when competitors are running promotions or how our units are performing online.”

They needed a Chicago grocery scraping solution that tracked:

• Product visibility
• Promotion flags
• Estimated sales movement
• Price fluctuations

Project Objectives

Actowiz Solutions defined the following objectives:

• Scrape Chicago grocery listings every 4 hours
• Extract promotional tags (BOGO, % off, bundle deals)
• Track pricing changes SKU-level
• Estimate units sold via ranking & velocity indicators
• Build brand vs competitor dashboards

What Data Was Extracted

Core Product Information

• Product name
• Brand
• Category
• Store name
• Store ZIP code
• Listing URL

Pricing & Promotion Data

• MRP
• Selling price
• Discount %
• Promo tag (BOGO, limited-time deal)
• Coupon applied
• Loyalty pricing

Units Sold & Demand Signals

While exact unit sales are not publicly disclosed, Actowiz Solutions estimated sales velocity using:

• Product ranking position
• Review count growth
• “Popular” / “Trending” badges
• Stock fluctuation
• Real-time inventory changes

Sample Data Output – Chicago Grocery Listings

Platform	Store	Product	Price	Discount	Promo Tag	Rank	Stock Status	Timestamp
Instacart	Jewel-Osco	Organic Chips 200g	$3.49	15%	Limited Time	4	In Stock	2026-02-19 09:30
DoorDash	Mariano’s	Sparkling Water 6-Pack	$5.99	20%	BOGO	2	Low Stock	2026-02-19 09:45
Instacart	Target Grocery	Almond Butter 16oz	$7.89	10%	Coupon	8	In Stock	2026-02-19 09:40
DoorDash	ALDI	Energy Drink 4-Pack	$4.29	5%	None	12	In Stock	2026-02-19 09:50

Backend enhancements included:

• Historical price log
• Promotion duration tracking
• SKU-level volatility score
• Store-level comparison

Promotion Intelligence Insights

Using scraped Chicago grocery data, Actowiz Solutions identified:

• Competitor promotions peak mid-week (Tuesday–Thursday)
• Beverage discounts average 18–25% during sports events
• Organic snack category shows 3x higher promotional frequency
• BOGO offers drive short-term rank spikes
• Price reductions under 10% rarely shift ranking

These insights helped the client redesign its promotional calendar.

Technical Execution by Actowiz Solutions

1. Geo-Specific Crawling

Chicago market filtered by:

• ZIP codes
• Delivery zones
• Store locations

2. Dynamic Page Rendering

Both platforms use dynamic content loading. The scraping framework handled:

• JavaScript-rendered listings
• Scroll-based product loading
• Session-based pricing

3. High-Frequency Refresh

• Full product catalog scan: 2x daily
• Top 100 SKU monitoring: Every 4 hours
• Promotion alerts: Real-time triggers

4. API Delivery

The client received:

• JSON API endpoints
• Automated Excel reports
• Power BI integration
• Slack promotion alerts

API Sample Response

{
  "platform": "Instacart",
  "city": "Chicago",
  "store": "Jewel-Osco",
  "product": "Organic Chips 200g",
  "price": 3.49,
  "discount": 15,
  "promotion": "Limited Time",
  "rank_position": 4,
  "stock_status": "In Stock",
  "timestamp": "2026-02-19T09:30:00"
}

Results Achieved in 90 Days

• 29% improvement in promotion timing
• 21% increase in digital shelf visibility
• 17% lift in estimated units sold
• 24% reduction in reactive discounting
• 100% Chicago grocery coverage

The client moved from guesswork-based marketing to data-backed promotion planning.

Competitive Benchmarking Dashboard

Actowiz Solutions built a Chicago grocery intelligence dashboard showing:

• Brand vs competitor price comparison
• Promotion overlap analysis
• Rank volatility heatmaps
• Store-level price difference
• Estimated demand score

Example Insight:
During February sports playoffs, competitor beverage brands increased discount depth from 15% to 28% across DoorDash Chicago. The client matched strategically rather than across all stores, protecting margin.

Why Monitor Both DoorDash and Instacart?

Although both operate in grocery delivery:

• DoorDash often highlights local retailer promos
• Instacart emphasizes loyalty & membership discounts
• Ranking algorithms differ
• Promotion formats vary

Monitoring both platforms ensures complete digital shelf intelligence.

Industries That Benefit

• FMCG brands
• Beverage companies
• Snack manufacturers
• Grocery distributors
• Retail analytics firms
• Private label brands

Why Choose Actowiz Solutions?

Actowiz Solutions specializes in:

• Grocery data scraping USA
• DoorDash data extraction
• Instacart promotion tracking
• Units sold estimation analytics
• Digital shelf intelligence dashboards

Key strengths:

• City-level filtering
• Real-time promotion alerts
• Scalable infrastructure
• SKU-level tracking
• Multi-platform coverage

Future of Grocery Intelligence in 2026

Online grocery competition is accelerating. Brands that track:

• Real-time discount depth
• Promotion frequency
• Rank volatility
• Stock movement

will dominate digital shelf share.

Predictive promotion planning powered by scraped grocery data will become standard for top-performing brands.

Final Takeaway

Chicago’s grocery market is competitive, promotion-driven, and digitally active. Without real-time scraping of DoorDash and Instacart, brands operate blindly.

By implementing structured grocery scraping solutions, Actowiz Solutions enabled brands to:

• Track units sold signals
• Monitor competitor promotions
• Optimize discount timing
• Improve digital visibility
• Increase estimated sales

For FMCG companies serious about winning Chicago’s online grocery market in 2026, real-time grocery data intelligence is no longer optional. It is essential.

Actowiz Solutions delivers scalable, accurate, and actionable grocery scraping solutions across the USA.

You can also reach us for all your mobile app scraping, data collection, web scraping , and instant data scraper service requirements!

GeoIp2\Model\City Object
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            [traits] => Array
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    [continent:protected] => GeoIp2\Record\Continent Object
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    [country:protected] => GeoIp2\Record\Country Object
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    [locales:protected] => Array
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    [maxmind:protected] => GeoIp2\Record\MaxMind Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
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            [validAttributes:protected] => Array
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        )

    [registeredCountry:protected] => GeoIp2\Record\Country Object
        (
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    [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
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    [traits:protected] => GeoIp2\Record\Traits Object
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            [validAttributes:protected] => Array
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                    [14] => isTorExitNode
                    [15] => mobileCountryCode
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                    [18] => organization
                    [19] => staticIpScore
                    [20] => userCount
                    [21] => userType
                )

        )

    [city:protected] => GeoIp2\Record\City Object
        (
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                        )

                )

            [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)

Project Timeline * Immediate 1–3 Months Planning Phase

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:

Fintech / Digital Payments

Result

Accurate daily voucher &

cashback visibility across platforms

★★★★★

“Actowiz Solutions helped us automate daily voucher and cashback data collection across PhonePe, Paytm, Flipkart, and Hubble. The API-driven delivery significantly improved offer accuracy and operational efficiency.”

Product Manager, Fintech Platform (India)

✓ Daily voucher & cashback tracking via Push & Pull APIs

View Case Studies

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

View Case Studies

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×

View Case Studies

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

View Case Studies

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

View Case Studies

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

View Case Studies

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

View Case Studies

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

View Case Studies

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

Feb 22, 2026

Dewu (Poizon) Sneaker Price Gap Scraping - A Data-Driven Approach to Understanding Global Sneaker Demand

Discover how Dewu (Poizon) Sneaker Price Gap Scraping uncovers pricing differences and insights to analyze global sneaker demand trends effectively.

Shopsy Discount Intelligence- Extracting Offer Data for Competitive Benchmarking

Shopsy Discount Intelligence - Extracting offer data to track competitors, benchmark promotions, and optimize pricing strategies effectively.

Manual Data Collection vs Automated Scraping — Which Saves More Time & Cost?

Discover the key differences between manual data collection and automated web scraping. Learn which method saves more time, reduces costs, and improves efficiency for your business in 2026.

Swiggy Instamart Snack & Drink Sales Analysis: Trends, Consumer Behavior, and Growth Opportunities

Research Report on Swiggy Instamart Snack & Drink Sales Analysis covering trends, consumer behavior, pricing shifts, and growth opportunities insights.

Feb 22, 2026

Dewu (Poizon) Sneaker Price Gap Scraping - A Data-Driven Approach to Understanding Global Sneaker Demand

Discover how Dewu (Poizon) Sneaker Price Gap Scraping uncovers pricing differences and insights to analyze global sneaker demand trends effectively.

Feb 21, 2026

How Hyperlocal Healthcare Pricing Intelligence Using 1mg Data Solves Medication Cost Challenges for Patients

Discover how Hyperlocal Healthcare Pricing Intelligence Using 1mg Data reduces medication costs and provides patients with real-time pricing insights.

Feb 20, 2026

Amazon USA Price Scraping API 2026: Buy Box Reclaiming New York Retailers

Track Amazon USA prices and Buy Box shifts in 2026. Help New York retailers reclaim Buy Box share using real-time price scraping API by Actowiz Solutions.

Read More

Shopsy Discount Intelligence- Extracting Offer Data for Competitive Benchmarking

Shopsy Discount Intelligence - Extracting offer data to track competitors, benchmark promotions, and optimize pricing strategies effectively.

Costco Walmart Grocery Pricing Scraping – Geo-Based Real-Time Houston

Geo-based real-time grocery pricing scraping for Costco and Walmart in Houston. Boost retail intelligence with Actowiz Solutions data APIs.

Apartments.com Inventory Scraping Houston 2026 – Lead Generation for Real Estate

Houston apartment inventory scraping from Apartments.com for 2026. Generate verified rental leads with structured data and real-time insights by Actowiz Solutions.

Read More

Manual Data Collection vs Automated Scraping — Which Saves More Time & Cost?

Discover the key differences between manual data collection and automated web scraping. Learn which method saves more time, reduces costs, and improves efficiency for your business in 2026.

10 Ways Data Scraping Drives Business Growth & Market Intelligence

Discover 10 powerful ways data scraping boosts business growth, from competitive price intelligence and demand forecasting to inventory tracking and market monitoring.

Grocery Price Movement Tracker – Walmart, Instacart & Target

Real-time grocery price changes across Walmart, Instacart and Target. Track top SKU drops, increases and hourly volatility with Actowiz Solutions.

Read More

Swiggy Instamart Snack & Drink Sales Analysis: Trends, Consumer Behavior, and Growth Opportunities

Research Report on Swiggy Instamart Snack & Drink Sales Analysis covering trends, consumer behavior, pricing shifts, and growth opportunities insights.

US Coffee Shop Industry Data Scraping - Market Trends, Pricing Intelligence, and Competitive Landscape Analysis

US Coffee Shop Industry Data Scraping covering market trends, pricing insights, and competitive analysis for data-driven growth.

Zepto Cleaning Aid Product Analysis – Delhi - Fixing Assortment, Promotion, And Margin Leakage Issues

Zepto Cleaning Aid Product Analysis – Delhi uncovering assortment gaps, promotion impact, and strategies to reduce margin leakage.

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

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