Category-wise packs with monthly refresh; export as CSV, ISON, or Parquet.
Choose your region, and we’ll deliver clean, accurate store location datasets.
Launch instantly with ready-made scrapers tailored for popular platforms. Extract clean, structured data without building from scratch.
Access real-time, structured data through scalable REST APIs. Integrate seamlessly into your workflows for faster insights and automation.
Download sample datasets with product titles, price, stock, and reviews data. Explore Q4-ready insights to test, analyze, and power smarter business strategies.
Playbook to win the digital shelf. Learn how brands & retailers can track prices, monitor stock, boost visibility, and drive conversions with actionable data insights.
We deliver innovative solutions, empowering businesses to grow, adapt, and succeed globally.
Collaborating with industry leaders to provide reliable, scalable, and cutting-edge solutions.
Find clear, concise answers to all your questions about our services, solutions, and business support.
Our talented, dedicated team members bring expertise and innovation to deliver quality work.
Creating working prototypes to validate ideas and accelerate overall business innovation quickly.
Connect to explore services, request demos, or discuss opportunities for business growth.
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] => 216.73.216.157 [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] => 216.73.216.157 [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 )
Discover how Extract Instashop Supermarket Data helps track 5,000+ products, monitor 30% price variations, and optimize inventory and pricing.
Note: You’ll receive it via email shortly after submitting the form.
Actowiz Solutions assisted a leading retail analytics firm in extract Instashop Supermarket Data to gain actionable insights into grocery sales, pricing trends, and product performance. With the rise of instant grocery delivery, understanding consumer demand and pricing fluctuations became critical. Using advanced scraping techniques, Actowiz captured product listings, SKUs, prices, and availability from Instashop's platform. The solution enabled the client to monitor over 5,000 products across multiple stores, track up to 30% price variations, and identify best-selling items. Data-driven dashboards provided insights into regional demand, high-velocity SKUs, and seasonal trends. With structured datasets, the client optimized inventory, refined pricing strategies, and enhanced promotional planning. Real-time updates and historical trend analysis empowered the client to make faster, smarter decisions, ensuring competitive advantage in the rapidly evolving e-grocery market. By extract Instashop Supermarket Data, Actowiz transformed raw digital listings into actionable business intelligence.
The client is a national retail analytics and consultancy firm specializing in grocery and FMCG market insights. They provide actionable intelligence to supermarket chains, distributors, and instant grocery platforms to improve inventory management, pricing strategies, and product assortment decisions. Prior to partnering with Actowiz, the client relied on manual market research and fragmented datasets, which lacked scale and speed. By scraping Instashop grocery data, they aimed to centralize product and pricing information, monitor promotions, and track SKU-level performance across multiple stores. The solution had to address high-volume product listings, dynamic price changes, and diverse regional variations in inventory. Access to structured and real-time Instashop data enabled the client to benchmark competitors, forecast demand, and identify emerging trends. The insights gained through this project allowed the client to improve operational efficiency, optimize stock levels, and create data-driven strategies for rapid growth in the instant grocery sector.
Actowiz deployed advanced scraping tools to extract product listings, SKUs, prices, and stock information from Instashop in real time. Instashop grocery market intelligence allowed tracking 5,000+ products across multiple regions, capturing pricing variations up to 30%. Python-based automation ensured scalability, minimal downtime, and accurate data extraction despite frequent platform updates.
Scraped data was cleaned, normalized, and structured into a centralized database. Dashboards provided detailed insights into top-selling products, high-velocity SKUs, and regional demand patterns. Historical and live data were combined for trend analysis, enabling predictive forecasting, inventory optimization, and competitive benchmarking.
Instashop frequently updated its website and app layouts. Actowiz implemented adaptive scraping scripts to ensure uninterrupted extraction of product and pricing data.
Thousands of products across multiple stores demanded efficient data handling. Parallel processing and optimized scraping pipelines ensured speed and accuracy.
Frequent discounts and promotions required continuous monitoring. Custom algorithms enabled the solution to scrape Instashop online supermarket data accurately and maintain historical pricing records for analysis.
Actowiz provided a comprehensive scrape instant grocery delivery apps data solution. Using Python-based automation and advanced scraping frameworks, the team extracted detailed product information, pricing, SKUs, and availability from Instashop. The data was cleaned, normalized, and structured for analytics dashboards, allowing insights into product performance, regional demand, and price variations. Custom scripts monitored promotional pricing and discounts in real time, while historical datasets enabled trend forecasting. Integration into client workflows ensured actionable intelligence for inventory management, pricing optimization, and marketing strategies. The system handled high-volume data efficiently, providing continuous updates with 98%+ accuracy. Overall, this approach transformed Instashop listings into a strategic asset, driving operational efficiency and informed decision-making.
By leveraging extract Instashop API product data, the client gained actionable insights into inventory trends, top-selling items, and promotional effectiveness. Real-time monitoring enabled faster responses to pricing changes and stock-outs. Historical data allowed forecasting demand for peak seasons and high-velocity SKUs. Dashboards provided regional insights, highlighting stores with the highest sales and products driving maximum revenue. Inventory optimization reduced stock-outs by 25%, and promotional planning improved efficiency by 30%. The client enhanced decision-making, operational efficiency, and competitive positioning across the instant grocery sector.
"Actowiz Solutions’ ability to extract Instashop supermarket data revolutionized our market intelligence operations. We now track thousands of products across multiple regions with real-time accuracy. The insights help us optimize inventory, adjust pricing, and plan promotions effectively. Their team’s expertise in automation and data scraping made implementation seamless. With historical and live datasets, we can forecast demand, identify high-performing SKUs, and benchmark competitors efficiently. Actowiz has been an invaluable partner, providing actionable intelligence that directly impacts our growth and operational efficiency."
— Head of Retail Analytics, Grocery Insights Ltd.
Actowiz Solutions excels at providing businesses with the tools to extract Instashop supermarket data efficiently. Key differentiators:
These capabilities allow clients to monitor pricing, promotions, and product performance efficiently, optimize inventory, and stay ahead of competitors.
With Actowiz Solutions, the client successfully extract Instashop supermarket data, transforming raw listings into actionable insights. The solution provided real-time product, pricing, and inventory intelligence, enabling smarter operational and marketing decisions. Using web scraping API, custom datasets, and instant data scraper capabilities, the client optimized inventory, reduced stock-outs, and monitored price fluctuations effectively. This comprehensive approach ensures continuous, scalable market intelligence and positions the client for sustained success in the competitive instant grocery sector. Act now to harness the power of real-time Instashop data and transform your retail strategy.
Product names, SKUs, prices, availability, promotions, and regional store details.
Yes, when performed on publicly accessible data with compliant methods.
Data can be extracted in real time, hourly, or daily as required.
Yes, automated scraping handles thousands of SKUs across multiple locations efficiently.
Retailers, distributors, instant grocery platforms, and marketing teams seeking insights on inventory, pricing, and promotions.
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
Real Estate
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×
Organic Grocery / FMCG
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
Quick Commerce
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
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
Beverage / D2C
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
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
Real results from real businesses using Actowiz Solutions
In Stock₹524
Price Drop + 12 minin 6 hrs across Lel.6
Price Drop −12 thr
Improved inventoryvisibility & planning
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
"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"
✔ Scraped Data, SKU availability, delivery time
With hourly price monitoring, we aligned promotions with competitors, drove 17%
Actionable Blogs, Real Case Studies, and Visual Data Stories -All in One Place
Track December 2025 grocery price drops across Instacart, Walmart, and Target. Powered by Actowiz Solutions’ real-time grocery price intelligence and data scraping.
Discover how real-time hotel review aggregation helps travel platforms centralize ratings, automate insights, and boost user experience across booking sources.
Enhance deep learning performance with large-scale image scraping. Build diverse, high-quality training datasets to improve AI accuracy, object detection, and model generalization.
Benchmark 2025 foodservice pricing, pack sizes, discounts, MOQ & availability scraped from Hyperpure, LOTS, Metro & Walmart for top brands. Powered by Actowiz Solutions.
Actowiz Solutions delivers real-time product scraping from Quick Commerce platforms, helping online businesses track prices, trends, and competitors instantly.
A Quick Commerce Data API delivers real-time pricing, inventory, and product insights from Instamart, Zepto, and Blinkit, helping businesses stay competitive.
Discover how analyzing local liquor retail in DoorDash helps track ordering patterns, customer preferences, and optimize sales and inventory strategies.
Uncover how data-driven strategies optimize dark store locations, boosting quick commerce efficiency, reducing costs, and improving delivery speed.
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.
Explore the Future of Web Scraping in the U.S. for Market Forecasts. Get insights on tools, ethics, regulations, and emerging industry trends.
Explore the top 10 real-world use cases of web scraping in 2025, enabling smarter business decisions, market insights, competitor analysis, and data-driven growth.
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.
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.
Actowiz Solutions adheres to the highest global standards of development, delivering exceptional solutions that consistently exceed industry expectations