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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] => 216.73.216.116 [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] => 216.73.216.116 [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 Historical SKU-Level Pricing & Discount Data Scraping on Blinkit, Zepto, and Swiggy Instamart helps retailers track trends, optimize pricing, and boost sales.
Note: You’ll receive it via email shortly after submitting the form.
In the fast-paced online grocery sector, understanding pricing and promotional trends at the SKU level is essential for strategic decision-making. Historical SKU-Level Pricing & Discount Data Scraping enables retailers to analyze past pricing patterns, monitor competitor promotions, and forecast future discount trends. Actowiz Solutions employed advanced Blinkit Grocery Data Scraping to collect SKU-level pricing and discount data across multiple categories, providing a structured dataset for actionable insights. By automating the extraction of historical product prices, promotional offers, and stock availability, retailers gained visibility into market dynamics and competitive strategies.
Leveraging Swiggy Instamart Data Scraping API and Zepto Quick Commerce Data Scraping, Actowiz ensured that historical and real-time data were integrated, allowing a comprehensive understanding of pricing behavior. This approach enabled retailers to optimize pricing strategies, manage inventory efficiently, and enhance overall profitability while keeping pace with changing market trends.
The client, a leading e-commerce analytics firm, aimed to gain insights into SKU-level pricing and discount patterns across Blinkit, Zepto, and Swiggy Instamart. Their goal was to scrape SKU-level pricing and discount data from Blinkit and combine it with real-time monitoring from Zepto, along with historical product pricing trend analysis from Swiggy Instamart.
Manual data collection proved inefficient, inconsistent, and time-consuming, preventing the client from responding to competitive pricing or promotions quickly. They required a scalable solution that could automate Historical SKU-Level Pricing & Discount Data Scraping across multiple platforms, providing accurate, structured, and timely datasets. Actowiz Solutions was selected to deliver a solution capable of Scraping historical grocery price and discounts, enabling better market intelligence, predictive analysis, and actionable insights for retailers, ensuring they could maximize revenue and optimize promotional strategies across the grocery and quick commerce space.
The client faced several challenges in analyzing historical pricing and discount trends. SKU-level data across Blinkit, Zepto, and Swiggy Instamart is highly dynamic, with frequent updates, promotional offers, and price fluctuations. Maintaining accurate historical datasets while monitoring live price changes required robust automation and data validation systems.
Integrating Extract SKU-level product data for discount trend analysis from multiple platforms was challenging due to variations in data formats, naming conventions, and regional differences. The client needed to combine historical and real-time data to ensure comprehensive visibility into market trends. Tracking competitive pricing and promotions in real time while maintaining compliance with platform policies added further complexity.
Actowiz Solutions was tasked with implementing a scalable Historical SKU-Level Pricing & Discount Data Scraping framework capable of handling massive datasets across multiple platforms. The system needed to support Analyzing Historical SKU-Level Pricing and Discount Trends, deliver actionable insights, and integrate seamlessly with the client’s analytics infrastructure for fast, data-driven decision-making.
Actowiz Solutions designed a robust Historical SKU-Level Pricing & Discount Data Scraping framework to address the client’s needs. For Blinkit, the Blinkit Grocery Data Scraping module collected SKU-level prices, discounts, and promotions systematically across all categories, creating a structured dataset for analysis.
The Swiggy Instamart Data Scraping API was implemented to extract historical product pricing trends, ensuring the client could track price fluctuations and promotional activity over time. Real-time monitoring was achieved through Zepto Quick Commerce Data Scraping, allowing the client to track competitor pricing changes and dynamic promotions effectively.
Actowiz also deployed Quick Commerce & Grocery Data Scraping engines to unify data from multiple sources, standardizing formats and enriching datasets for predictive analysis. Price Monitoring Services were integrated to alert the client to significant changes in pricing or discount patterns, enabling rapid response.
Finally, Web Scraping Services were applied to automate the extraction, validation, and integration of historical and live SKU-level data into the client’s analytics dashboards. This comprehensive solution allowed actionable insights, enhanced forecasting accuracy, and improved decision-making on promotions, pricing, and inventory management. As a result, the client experienced a 50% reduction in manual data processing time and significantly improved competitive intelligence across all platforms.
“Actowiz Solutions transformed the way we analyze SKU-level pricing and discounts across Blinkit, Zepto, and Swiggy Instamart. Their Historical SKU-Level Pricing & Discount Data Scraping solution provided accurate, structured, and timely datasets that enhanced our market intelligence and forecasting capabilities. With real-time monitoring and historical trend analysis, we can now respond quickly to competitor promotions and optimize our pricing strategies. Actowiz’s expertise in Scraping historical grocery price and discounts and integrating complex datasets into actionable insights has been invaluable for our business growth.”
— Head of Data Analytics, E-Commerce Insights Firm
By leveraging Historical SKU-Level Pricing & Discount Data Scraping, Actowiz Solutions empowered the client to gain end-to-end visibility into pricing and promotional trends across Blinkit, Zepto, and Swiggy Instamart. The integration of Extract SKU-level product data for discount trend analysis, real-time monitoring, and historical trend insights enabled data-driven decision-making and improved competitive intelligence.
The solution streamlined workflows, reduced manual effort, and provided actionable insights to optimize pricing, promotions, and inventory management. With Actowiz’s Quick Commerce & Grocery Data Scraping and Web Scraping Services, the client now efficiently tracks SKU-level trends, forecasts demand, and enhances profitability across multiple online grocery platforms.
Contact Actowiz Solutions today to unlock the power of Historical SKU-Level Pricing & Discount Data Scraping and gain actionable insights for smarter retail strategies.
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%
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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