Amazon vs Flipkart Diwali Sales Trends Analysis - Comparative Insights
                     Amazon vs Flipkart Diwali Sales Trends Analysis: 
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The report also includes insights from Tracking Amazon vs Flipkart discount 
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By conducting a detailed Amazon vs Flipkart Diwali Sales Trends Analysis, 
Actowiz Solutions empowers brands to make informed, data-driven decisions, 
maximize sales performance, and optimize campaigns during peak festive 
seasons.
Flipkart vs Amazon Benchmarking
To gain a comprehensive understanding of Diwali sales dynamics, Actowiz 
Solutions conducted a detailed Flipkart vs Amazon Benchmarking using 
historical data spanning 2020–2025. Through the Amazon vs Flipkart Diwali 
Sales Trends Analysis, key metrics such as units sold, average order value 
(AOV), discount levels, and category-specific performance were compared. 
ElIenctrtornoicsd, fuashciotni, FMCG, and home appliances were the focus categories, Irenvetarlinogd pluatfcortmi-ospnecific strengths and weaknesses.
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thsicsr arepsinogu,r coeff.ering the most straightforward route to consistently obtaining data at scale. This 
article delves into the myriad benefits of scraping TripAdvisor, shedding light on how this 
process can be initiated, including exploring the initial steps involving API utilization. Dive 
into the realm of data-driven insights with TripAdvisor scraping.
2020 Units 2021 Units 2022 Units 2023 Units 2024 Units 2025 Units 
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Fashion Flipkart 1,000,000 1,150,000 1,250,000 1,350,000 1,450,000 1,600,000
Using Comparative Diwali sales analysis From Amazon and Flipkart, this 
benchmarking highlighted actionable insights for inventory planning, pricing 
strategies, and campaign optimization. Retailers could now identify high-
demand categories, plan competitive promotions, and improve festive season 
revenue.
Amazon Product Details & Price Scraper
Actowiz Solutions deployed the Amazon Product Details & Price Scraper to 
capture SKU-level data, including prices, stock availability, ratings, and Diwali 
promotional offers across 2020–2025. Through Amazon vs Flipkart Diwali 
Sales Trends Analysis, we analyzed pricing strategies, discount patterns, and 
IsanIlnetst rvreoloodcdiutyu cacctrotisois nmultiple categories.
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article delves into the myriad benefits of scraping TripAdvisor, shedding light on how this 
process can be initiated, including exploring the initial steps involving API utilization. Dive 
into the realm of data-driven insights with TripAdvisor scraping.
Through Amazon Diwali sales data scraping, businesses gained precise insights 
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Web Scraping Flipkart Data
Using Web Scraping Flipkart Data, Actowiz captured SKU-level product 
information, discounts, and promotional details across 2020–2025 Diwali 
periods. This data complemented the Amazon dataset for a holistic Amazon vs 
Flipkart Diwali Sales Trends Analysis.
Flipkart's discounting strategy was aggressive in fashion and FMCG categories, 
while electronics discounts were moderate to protect AOV. Tracking these 
patterns using Scrape Amazon vs Flipkart Diwali Sales Data allowed retailers to 
benchmark performance and plan inventory accordingly. Historical trend 
tables show sales units, average discounts, and revenue generated.
Avg 
Units Sold Units Sold Units Sold Units Sold Units Sold Units Sold 
InCtatregooryduDisccotunit (%) 2020 2021 2022 2023 2024 2025Introduction
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Analysis revealed peak purchase windows, optimal discount thresholds, and 
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BenefitAvsg Revenue Revenue Revenue Revenue Revenue Revenue 
Category Discount 
(%) 2020 (₹) 2021 (₹) 2022 (₹) 2023 (₹) 2024 (₹) 2025 (₹)
Electronics 20 540M 620M 700M 780M 850M 920M
Fashion 25 380M 420M 470M 520M 580M 630M
Using Amazon vs Flipkart Diwali Sales Trends Analysis, businesses gained 
insights to forecast demand, plan inventory, and optimize pricing, ensuring 
maximum ROI during the festival season.
Web Scraping Services
Web Scraping Services automated the extraction of real-time sales and 
promotional data during Diwali, providing continuous monitoring of Amazon 
and Flipkart. Integration with analytics dashboards enabled Flipkart vs Amazon 
IBneInntchtrmrooadrkdiunugc, citdtieointinfying underperforming categories or high-potential SKUs.
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thsicsr arepsinogu,r coeff.ering the most straightforward route to consistently obtaining data at scale. This 
article delves into the myriad benefits of scraping TripAdvisor, shedding light on how this 
process can be initiated, including exploring the initial steps involving API utilization. Dive 
into the realm of data-driven insights with TripAdvisor scraping.
Comparative Insights and Strategic Recommendations
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Avg Conversion 
Category Platform Avg Discount (%) Units Sold
Rate (%)
Electronics Amazon 15 20 1,950,000
Electronics Flipkart 13 18 1,900,000
Fashion Amazon 12 22 1,450,000
Fashion Flipkart 14 25 1,600,000
Using this analysis, retailers can forecast demand, optimize pricing, and design 
targeted campaigns. Amazon vs Flipkart Diwali Sales Trends Analysis ensures 
data-driven decisions, improved ROI, and competitive advantage during peak 
festive periods.
Actowiz Solutions provides end-to-end e-commerce data scraping, analytics, 
aInnIdnt rterprooordtidnugu cscetrtivoiicens. By leveraging Amazon vs Flipkart Diwali Sales Trends 
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thsicsr arepsinogu,r coeff.ering the most straightforward route to consistently obtaining data at scale. This 
article delves into the myriad benefits of scraping TripAdvisor, shedding light on how this 
process can be initiated, including exploring the initial steps involving API utilization. Dive 
into the realm of data-driven insights with TripAdvisor scraping.
With Actowiz Solutions, businesses can identify high-performing categories, 
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exBpeertinsee efinsturses seamless integration with existing analytics systems, 
offering comprehensive insights and actionable intelligence for strategic retail 
planning.
Conclusion
The Amazon vs Flipkart Diwali Sales Trends Analysis provides retailers with 
critical insights into consumer behavior, discount strategies, and product 
performance. By scraping historical and real-time data from both platforms, 
Actowiz Solutions enables comparative analysis, benchmarking, and 
actionable decision-making.
Through Scrape Amazon vs Flipkart Diwali Sales Data and Comparative Diwali 
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prIonmtortioonds, auncd tiniventory allocation. Real-time monitoring allows proactive 
aIdnjutsrtmoedntsu dcurtinigo tnhe Diwali season, ensuring maximum ROI. Tracking 
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uagchti othe intricacies of Zomato Scraper, uncovering its capabilities to hr,  draetaanl -atpibmroleev e irsne ssintigavuahrltuasan,bt o ledp atifotamr . mizFeorondmit co arsimncgrap pcaionimggn psere,t isattoanrusdr  asnmtd  adsreuttpeaprilo sr titnog  
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thsicsr arepsinogu,r coeff.ering the most straightforward route to consistently obtaining data at scale. This 
article delves into the myriad benefits of scraping TripAdvisor, shedding light on how this 
process can be initiated, including exploring the initial steps involving API utilization. Dive 
into the realm of data-driven insights with TripAdvisor scraping.
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Tohisn blog will provide a comprehensive overview of datasets, including their definition, different types of datasets, and strategies for maximizing the value of data.
In the dynamic landscape of eCommerce, pricing strategy stands paramount, especially for 
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indfoartma,a toiffone.ring insights into the broader market's pricing landscape. Such price intelligence 
empowers retailers to craft a robust pricing strategy, bolstering sales, enhancing profit 
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We will navigate through the intricacies of Zomato Scraper, uncovering its capabilities to 
provide you with rich, real-time restaurant data. From scraping restaurant details to 
accessing customer reviews, our detailed guide ensures that you harness the full potential of 
this resource.