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[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] => 216.73.216.24 [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
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reveals how brands Extract Festive Sale Data from Amazon, Flipkart & Reliance with 90% flash-sale alerts and 50+ brands analyzed.
Note: You’ll receive it via email shortly after submitting the form.
Festive sales in India are more than just shopping events—they represent billion-dollar opportunities for both retailers and brands. With Amazon, Flipkart, and Reliance competing fiercely to capture market share, tracking price fluctuations, discount trends, and promotional strategies is critical. Our Research Report focuses on how to Extract Festive Sale Data from Amazon, Flipkart & Reliance, providing a deep view into how retailers deploy offers, price drops, and flash sales to drive consumer engagement.
From 2020 to 2025, festive sales in India have grown at an average CAGR of 22%, with fashion, electronics, and home essentials dominating the categories. However, this surge has also amplified the complexity of monitoring platforms simultaneously. Brands not only need insights into pricing but also a clear view of engagement strategies, category-level growth, and flash-sale timings. Leveraging Flipkart vs Amazon Benchmarking, this study provides 90% flash-sale alert accuracy and analytics across 50+ brands, giving decision-makers real-time clarity into festive season competition.
Between 2020 and 2025, festive sales across India have consistently shown strong growth patterns. Amazon recorded YoY festive revenue increases averaging 18%, while Flipkart surged with a 20% CAGR, and Reliance Retail entered the scene aggressively, achieving a 15% market share by 2025. Our study on Festive Sale Analytics - Amazon vs. Flipkart vs. Reliance shows that deal depth increased by 35% across electronics and fashion in 2023 compared to 2020.
Actowiz tracked over 500K product listings and identified that Reliance relies heavily on bundling strategies, while Amazon emphasizes brand-led promotions, and Flipkart drives consumer traction through exchange offers. The table below summarizes category dominance from 2020-2025:
By combining real-time alerts and Extract Festive Sale Data from Amazon, Flipkart & Reliance, Actowiz provided actionable insights that helped brands align their strategies with evolving category performance.
From 2020 to 2025, ecommerce festive sales in India are projected to reach $18B by 2025, with fashion and consumer electronics making up 65% of total festive revenue. Actowiz deployed Ecommerce Festive Season Insights Data Scraping tools to analyze over 1.2M festive SKUs and track trends. This highlighted a shift: while fashion discounts increased by 22%, electronics saw sharper price fluctuations of up to 35%.
The use of a Flipkart Product and Review Dataset added another layer of intelligence by correlating customer sentiment with pricing efficiency. For example, Flipkart’s apparel sales grew 40% between 2021–2024, and reviews highlighted positive feedback on bundled cashback offers. Reliance, meanwhile, saw strong growth in tier-2 and tier-3 markets, capturing 25% of local festive apparel demand by 2025.
The table below shows apparel discount trends (2020–2025):
This structured intelligence gave brands clear signals on where to focus promotional energy.
Analyzing 2020–2025 data, Actowiz uncovered pricing strategies that shaped market share distribution. Festive pricing intelligence for Amazon, Flipkart, and Reliance showed Amazon leading electronics with consistent 18–22% discounts, Flipkart dominating apparel with up to 35% markdowns, and Reliance focusing on aggressive entry pricing to lure first-time buyers.
By deploying real-time monitoring tools, Actowiz enabled brands to Track Flipkart & Amazon Pricing Data across 10,000+ SKUs. This led to insights such as:
Between 2020–2025, category competition remained fierce:
Using Scrape festive Sale pricing Data from Amazon vs. Flipkart vs. Reliance, brands fine-tuned margins while boosting revenue share.
Actowiz Solutions’ research deployed Web Scraping Price Trends of Festive Sales in India to identify long-term price stability and volatility. Between 2020–2025, prices of smartphones fluctuated up to 40% within 48 hours during festive campaigns. Home appliances showed steadier discounting patterns, averaging 15–20% markdowns.
Our analysis revealed that the timing of price drops was as crucial as the depth of discounts. Amazon preferred midnight launches, Flipkart often deployed early-morning rollouts, and Reliance leaned on weekend-based promotions. Leveraging Top Tools for Tracking E-Commerce Trends, brands using Actowiz insights improved promotional timing efficiency by 30%.
This structured approach gave brands predictive insights, improving festive campaign ROI year after year.
Actowiz’s Amazon, Flipkart, Reliance Festive Offer Data Scraper enabled automated collection of 200K+ festive product listings between 2020–2025. Reliance Retail, a late entrant, captured 12% festive GMV by 2023, while Amazon maintained dominance at 45%, and Flipkart stabilized at 38%.
By integrating Amazon Web Scraping API, Actowiz extracted live datasets of category-level deals, ensuring flash-sale alerts with 90% accuracy. This technology helped brands track not only price shifts but also product availability, coupon-based promotions, and cashback offers.
The dataset highlighted shifts in consumer demand patterns:
The study also flagged weekend-based promotions as key to Reliance’s growth trajectory, making it a strong disruptor by 2025.
With Amazon vs Flipkart vs Reliance Sale Data Extraction, Actowiz provided brands a unified comparative view. Using structured data from 2020–2025, this solution enabled benchmarking on pricing, deal frequency, and consumer response rates.
The integration of Price Comparison Software revealed:
This holistic view allowed Actowiz clients to optimize festive strategies across all three platforms simultaneously.
Actowiz Solutions empowers brands to Extract Festive Sale Data from Amazon, Flipkart & Reliance with accuracy, scale, and speed. By leveraging automated scrapers, APIs, and real-time monitoring systems, Actowiz delivers structured insights into pricing, promotions, and consumer response patterns. Brands can act on flash-sale alerts instantly, benchmark competitors across categories, and forecast festive season demand using long-term datasets. Whether it’s apparel, electronics, or household essentials, Actowiz provides clear, data-backed visibility into evolving trends. Our tools go beyond raw scraping, combining analytics with strategic intelligence. This ensures that decision-makers not only monitor trends but proactively shape their pricing, promotions, and marketing campaigns to capture maximum festive market share. With precision-driven solutions and deep expertise, Actowiz stands as a trusted partner for businesses navigating India’s complex, high-stakes festive season ecosystem.
India’s festive sales are projected to cross $20B by 2025, with Amazon, Flipkart, and Reliance at the forefront of competition. By enabling businesses to track flash sales with 90% accuracy and analyze promotions across 50+ brands, Actowiz’s framework for Scrape festive Sale pricing Data from Amazon vs. Flipkart vs. Reliance delivers unmatched clarity. Through Extract Festive Sale Data from Amazon, Flipkart & Reliance, brands gain the ability to decode pricing intelligence, benchmark competitor moves, and optimize strategies in real time. From apparel to electronics and essentials, Actowiz’s deep festive analytics ensure that brands stay ahead in one of the world’s most competitive online markets.
Act now—partner with Actowiz Solutions to transform festive data into revenue-winning decisions.
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
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Score big this Navratri 2025! Discover the top 5 brands offering the biggest clothing discounts and grab stylish festive outfits at unbeatable prices.
Discover the top 10 most ordered grocery items during Navratri 2025. Explore popular festive essentials for fasting, cooking, and celebrations.
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This research report explores real-time price monitoring of Amazon and Walmart using web scraping techniques to analyze trends, pricing strategies, and market dynamics.
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