Actowiz Metrics Now Live!
logo
Unlock Smarter , Faster Analytics!
Actowiz Metrics Now Live!
logo
Unlock Smarter , Faster Analytics!
Actowiz Metrics Now Live!
logo
Unlock Smarter , Faster Analytics!
Actowiz Metrics Now Live!
logo
Unlock Smarter , Faster Analytics!
Actowiz Metrics Now Live!
logo
Unlock Smarter , Faster Analytics!
Actowiz Metrics Now Live!
logo
Unlock Smarter , Faster Analytics!
Actowiz Metrics Now Live!
logo
Unlock Smarter , Faster Analytics!
Actowiz Metrics Now Live!
logo
Unlock Smarter , Faster Analytics!
Actowiz Metrics Now Live!
logo
Unlock Smarter , Faster Analytics!
Actowiz Metrics Now Live!
logo
Unlock Smarter , Faster Analytics!
Actowiz Metrics Now Live!
logo
Unlock Smarter , Faster Analytics!
Actowiz Metrics Now Live!
logo
Unlock Smarter , Faster Analytics!
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] => 216.73.216.101
                    [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] => 216.73.216.101
                    [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
)
Real-Time Regional Insights with Customizable E-commerce Dashboards

Introduction

Introduction

In today's fiercely competitive grocery retail environment, timely and accurate grocery pricing data is a game-changer. Whether you're a retailer, aggregator, FMCG brand, or market researcher, you need precise insights into product pricing, availability, and nutritional content across platforms like Blinkit, BigBasket, Zepto, and Amazon.

Actowiz Solutions, a global leader in real-time web scraping and data intelligence, has developed cutting-edge grocery data scraping solutions and APIs that empower businesses to:

  • Monitor product prices
  • Track availability across platforms
  • Access ingredient & nutrition information
  • Compare stores and locations by pin codes

This case study showcases how Actowiz Solutions helped a leading consumer insights firm unlock competitive pricing intelligence across India's major grocery platforms.

Challenge

The client—a fast-growing retail intelligence firm—was struggling with:

  • Fragmented and inconsistent product data across grocery platforms.
  • Delayed insights from legacy data providers, making decision-making reactive rather than proactive.
  • No easy access to real-time API for aggregating prices, stock availability, and store-specific product listings.
  • Need for location-wise comparisons (e.g., same SKU priced differently in Delhi vs Mumbai).
  • Extracting nutritional labels and ingredient lists for 100K+ grocery SKUs.

To stay competitive, they needed:

A real-time, scalable grocery data API

Coverage of top Indian platforms: Blinkit, BigBasket, Zepto, Amazon

Store-level and pin code-level granularity

Batch and on-demand access for flexible integration

Full data compliance, reliability, and freshness

Actowiz Solutions’ Approach

The-Client

Actowiz Solutions designed a comprehensive grocery data scraping solution with real-time and batch API support tailored to the client’s need for deep SKU-level intelligence.

✅ Platforms Covered:
  • Blinkit
  • BigBasket
  • Zepto
  • Amazon Fresh (India)
  • JioMart (Beta)
  • ✅ Key Capabilities:
    • 1. Product Details API
    • Fetch SKU names, images, brand, size, category, and packaging type.

    • 2. Real-Time Pricing API
    • Return current price, discount, MRP, and price drop history.

    • 3. Stock & Availability API
    • Indicates “in-stock”, “out-of-stock”, and delivery ETA per location.

    • 4. Nutrition & Ingredient API
    • Parsed nutrition labels (e.g., calories, protein, sugar) and full ingredient lists.

    • 5. Store-wise and Pin Code Comparison API
    • Enables competitive analysis by comparing the same SKU across:

      • Different platforms (Blinkit vs BigBasket)
      • Different stores (within Blinkit or Zepto)
      • Different pin codes or cities (Mumbai vs Delhi)
    • 6. Batch Download & Daily Snapshot
    • For large-scale offline analysis via CSV/JSON endpoints.

    • 7. Monitoring Dashboard
      • Visual UI for pricing trends, price alerts, and availability shifts.
      • Filters by city, brand, category, or SKU.
    Data Update Frequency:
    • Real-Time API: < 5 minutes latency
    • Batch Mode: Daily / Hourly options available
    • Delta-only sync available to reduce payload
    API Response Format:
    • REST API (JSON)
    • Webhooks for price drop notifications
    • CSV/Excel on demand for bulk analysts

    Results

    In just 6 weeks, the client gained deep visibility into India’s online grocery pricing landscape.

    Metric Before Actowiz After Actowiz
    Data Latency 24–48 hours ~5 minutes
    Platforms Covered 2 (partial) 4+ (100% coverage)
    SKU-level Tracking Manual Automated (100K SKUs)
    Pin Code Comparisons Not available Enabled
    Ingredient/Nutrient Extraction NA Yes (95% accuracy)
    Delivery Insights Manual scraping Integrated via API
    Key Outcomes:
    • Enabled competitive pricing analysis for 25 FMCG clients.
    • Launched a dashboard showing daily grocery inflation across cities.
    • Deployed custom alerts when price drops occurred for key SKUs.

    Sample Data Extracted

    1. Product Listing Snapshot
    Product Name Brand Price MRP Availability Platform
    Amul Milk 500ml Amul ₹27 ₹30 In-stock Blinkit
    Tata Salt 1kg Tata ₹19 ₹21 In-stock BigBasket
    Dettol Handwash 200ml Dettol ₹84 ₹99 Out-of-stock Zepto
    2. Location-Wise Price Comparison
    SKU City Blinkit Price BigBasket Price Zepto Price
    Aashirvaad Atta 5kg Mumbai ₹260 ₹270 ₹255
    Aashirvaad Atta 5kg Delhi ₹255 ₹265 ₹250
    3. Nutrition & Ingredients (Zepto)

    Product: Tropicana Orange Juice

    Calories: 47 kcal/100ml

    Sugar: 10.5g

    Ingredients: Water, Orange Juice Concentrate, Sugar, Acidity Regulator, Antioxidant

    Takeaways

    Actowiz Solutions proved to be a game-changer by delivering real-time grocery scraping APIs with unmatched granularity and speed. Here are key takeaways from this implementation:

    API-First Design:

    Clients gained direct control over data ingestion and display.

    Platform Agnostic:

    Support for multiple Indian grocery platforms with consistent JSON output.

    Location-Based Intelligence:

    Ability to compare prices and availability across pin codes and cities.

    Nutrition Intelligence:

    Helping health-focused brands track competitor ingredient disclosures.

    Scalability & Customization:

    Actowiz handled over 1 million API calls/month with 99.99% uptime.

    Ongoing Support & Expansion

    • Global Expansion: The same grocery API model is being extended to UAE (Carrefour, Lulu), Singapore (FairPrice, RedMart), and the UK (Tesco, ASDA).
    • AI-Based Enhancements: Integration of AI models for price prediction, discount detection, and restock forecasting.
    • Brand Tracking: FMCG brands now get weekly reports on how their products are priced and positioned across marketplaces.

    Ready to Get Started?

    Actowiz Solutions offers scalable Grocery Data Scraping Services and Real-Time APIs tailored for:

    • Retailers & D2C brands
    • Market research firms
    • Pricing strategy consultants
    • Health & wellness platforms

    From Berlin to Munich, our scraping engine delivers reliable, real-time retail intelligence at SKU, category, and city level.

    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
    Aug 25, 2025

    Starbucks Menu Price Fluctuation - Price Analysis of Starbucks Items in New York and LA

    Track Starbucks Menu Price Fluctuation in New York and LA. Analyze latte, frappuccino, and cappuccino prices from 2020–2025 for smarter pricing and promotions.

    thumb

    Getaround Vehicle Availability API Improved Chicago Car Access by 30%

    Discover how Getaround Vehicle Availability API helped a Chicago mobility app optimize real-time car access and increase bookings by 30% effectively.

    thumb

    Price Optimization vs Price Monitoring - 20% Margin Boost Revealed in 2025 Market Insights

    Price Optimization vs Price Monitoring reveals a 20% margin boost in 2025, offering insights to maximize profitability and pricing strategy.

    Aug 25, 2025

    Starbucks Menu Price Fluctuation - Price Analysis of Starbucks Items in New York and LA

    Track Starbucks Menu Price Fluctuation in New York and LA. Analyze latte, frappuccino, and cappuccino prices from 2020–2025 for smarter pricing and promotions.

    Aug 24, 2025

    Trending Discounts on Personal Care Products in Australia - Weekly Woolworths vs Coles Price Comparison

    Compare weekly discounts on personal care products in Australia with our Woolworths vs Coles Price Comparison—stay updated, save money, and shop smart every week!

    Aug 23, 2025

    Benefits of Monthly Angi and Zillow Scraping for Service Aggregators

    Unlock actionable insights with monthly Angi and Zillow scraping, helping service aggregators track trends, analyze competitors, and optimize business strategies.

    thumb

    Getaround Vehicle Availability API Improved Chicago Car Access by 30%

    Discover how Getaround Vehicle Availability API helped a Chicago mobility app optimize real-time car access and increase bookings by 30% effectively.

    thumb

    D2C Fashion Inventory Optimization Using Demand Data from Naver

    Discover how a D2C brand improved inventory management and sales with Naver demand data, leveraging D2C Fashion Inventory Optimization strategies effectively.

    thumb

    Cosmetic Pricing Intelligence in Daejeon Using Naver Product Scraping

    Explore how Actowiz Solutions enabled Cosmetic Pricing Intelligence in Daejeon with Naver product scraping, delivering insights for smarter retail strategies.

    thumb

    Price Optimization vs Price Monitoring - 20% Margin Boost Revealed in 2025 Market Insights

    Price Optimization vs Price Monitoring reveals a 20% margin boost in 2025, offering insights to maximize profitability and pricing strategy.

    thumb

    Skin Type-Based Skincare Insights in Korea Using Naver Beauty Categories

    Explore skin type-based skincare insights in Korea using Naver Beauty Categories, uncovering trends, product preferences, and consumer behavior across categories.

    thumb

    AI-Powered Web Scraping Market Analysis 2025–2035 – Forecasts, Competitors & Use Cases

    Explore the AI-Powered Web Scraping Market Analysis 2025–2035, including growth forecasts, key competitors, use cases, and emerging industry trends.