Scrape Product Price Drops During Black Friday Sales on Amazon & Flipkart

 

Introduction

Black Friday has become a major e-commerce event in India, with platforms like Amazon and Flipkart offering massive discounts across electronics, fashion, home appliances, and more. By leveraging tools to Scrape product price drops during Black Friday sales, businesses can uncover real discount trends, track competitor pricing strategies, and optimize their own product launches.

Historical data from 2020 to 2025 shows that while advertised discounts appear high, the actual price reductions vary by category and product type. Using advanced data scraping and analytics, retailers can identify which deals are genuine, which products attract the most customer interest, and which categories have the highest sales uplift.

Structured datasets allow businesses to monitor price patterns, spot trends across multiple product categories, and make informed decisions on inventory allocation, promotion planning, and pricing strategy. By combining automated scraping with real-time analytics, companies gain a competitive advantage during high-traffic sales periods like Black Friday.

Additionally, this approach reduces manual effort, ensures accurate pricing insights, and enables retailers to respond quickly to competitor moves, maximizing sales and customer engagement during critical promotional windows.

Tracking Black Friday Deals

Using Extract Amazon & Flipkart deal data for Black Friday, businesses can monitor which products and categories receive the deepest discounts. Between 2020–2025, electronics, fashion, and home appliances dominated Black Friday sales, with average discounts ranging from 10% to 50%.

Structured deal data enables retailers to benchmark pricing strategies, identify high-performing categories, and plan inventory ahead of sales events.

Historical Discount Analysis

With a discount history scraper for Black Friday deals, businesses can track pricing trends over multiple years. This reveals which categories consistently receive deeper discounts and which promotions drive repeat customer purchases.

• 2020: Shoppers enjoyed an average 28% discount, with a 12% repeat buyer rate, an avg price drop of $45, and Electronics leading sales.
• 2021: Discounts increased to 30%, repeat buyers rose to 14%, price drops averaged $48, while Fashion topped the charts.
• 2022: Promotions reached 32%, repeat purchase hit 15%, and the average price dipped by $50, with Home Appliances becoming the top-selling category.
• 2023: Deals climbed to 35%, repeat customers reached 16%, price drops averaged $55, and Electronics reclaimed the lead.
• 2024: Discounts moderated to 33%, but loyalty improved with an 18% repeat buyer rate, price drops hit $57, and Fashion dominated.
• 2025: The strongest promotional year — 38% average discount, 20% repeat buyer rate, $60 average price drop, and Electronics surged again as the top-selling category.

Analyzing historical discount data allows brands to optimize pricing strategies, plan inventory, and identify patterns that lead to higher conversion rates during Black Friday.

Building Product Datasets

A Black Friday product dataset scraper helps compile structured data across multiple platforms. Between 2020–2025, the number of products on Black Friday sales grew by 40%, while new product launches contributed to higher traffic and sales volumes.

• 2020: The platform hosted 50,000 total products, introduced 5,000 new listings, offered an average 30% discount, and saw Electronics dominate the category leaderboard.
• 2021: Listings expanded to 60,000, with 6,500 new products added; discounts averaged 32%, while Fashion climbed to the top.
• 2022: Product count reached 70,000, fueled by 7,200 new additions; discount levels rose to 35%, and Electronics returned as the top category.
• 2023: Inventory grew to 80,000 products, with 8,000 new SKUs, pushing the average discount to 38%, as Home Appliances led sales.
• 2024: The catalog hit 90,000 listings, boosted by 9,500 new products; discounting eased to 35%, and Fashion regained the spotlight.
• 2025: A major milestone — 100,000 products listed, 11,000 new additions, a strong 40% average discount, and Electronics once again took the top spot.

This dataset empowers marketers to identify trends, monitor competitors, and optimize product mix for maximum sales impact.

Real-Time Discount Monitoring

By leveraging Real-time Discount data scraping For Black Friday, retailers can track live price changes, flash sales, and hourly discount updates. Real-time insights from 2020–2025 show that early-bird promotions and flash deals accounted for 15–25% of total daily sales.

Real-time monitoring ensures that brands can adjust pricing, inventory, and marketing efforts instantly to maximize sales and competitiveness.

Multi-Platform Insights

Using Scrape Data From Any Ecommerce Websites , businesses can consolidate Black Friday data across Amazon, Flipkart, and other platforms. This cross-platform approach highlights differences in discount strategies and product offerings.

• Amazon: Offered an average 35% discount, listed 25,000 total deals, with Electronics dominating the platform, and achieved a solid 10% yearly growth.
• Flipkart: Averaged 38% discounts, showcased 22,000 deals, also led by Electronics, and posted a strong 12% annual growth rate.
• Myntra: Focused on Fashion, delivering 30% average discounts, hosting 18,000 deals, and recording the highest yearly growth at 15%.
• Ajio: Featured 28% average discounts, 15,000 deals, prioritized Fashion, and saw a notable 13% growth year over year.

Cross-platform insights help businesses benchmark, optimize pricing, and predict customer behavior more accurately.

Multi-Platform Insights

Using Scrape Data From Any Ecommerce Websites, businesses can consolidate Black Friday data across Amazon, Flipkart, and other platforms. This cross-platform approach highlights differences in discount strategies and product offerings.

• Amazon: Runs with an average 35% discount, features 25,000 deals, thrives in Electronics, and records a steady 10% yearly growth.
• Flipkart: Leads aggressive promotions with 38% average discounts, lists 22,000 deals, excels in Electronics, and posts a strong 12% annual growth rate.
• Myntra: Specializes in Fashion, offering 30% average discounts, hosting 18,000 total deals, and delivers the highest growth at 15% year-over-year.
• Ajio: Provides 28% average discounts, showcases 15,000 deals, focuses on Fashion, and maintains a solid 13% yearly growth.

Cross-platform insights help businesses benchmark, optimize pricing, and predict customer behavior more accurately.

Extracting Platform-Level Data

With Extract Amazon E-Commerce Product Data , brands can analyze detailed SKU-level pricing, discounts, and stock availability over multiple years. Between 2020–2025, average Amazon and Flipkart Black Friday discounts increased from 28% to 40%, while new product launches grew 45%.

• 2020: Discounts averaged 28%, with 5,000 new SKUs added, a 5% stock-out rate, and Electronics leading overall demand.
• 2021: Promotions rose to 30%, SKU additions hit 6,000, stock-outs dropped to 4%, and Fashion became the top-selling category.
• 2022: The average discount climbed to 32%, 7,000 new SKUs joined the catalog, stock-outs remained at 4%, and Electronics returned to the top.
• 2023: Discounts reached 35%, catalog depth expanded with 8,000 SKUs, stock-outs improved to 3%, and Home Appliances took the lead.
• 2024: Retailers pushed average discounts to 38%, added 9,500 SKUs, maintained a 3% stock-out rate, while Fashion reclaimed first place.
• 2025: A high-momentum year — 40% average discount, 10,500 new SKUs, a reduced 2% stock-out rate, and Electronics dominated once again.

This granular data ensures businesses can react quickly, optimize pricing strategies, and boost sales during peak shopping events.

Why Choose Product Data Scrape?

Product Data Scrape offers reliable and scalable solutions for e-commerce analytics. Using Web Data Intelligence API, businesses can:

• Extract real-time, structured product and pricing data
• Benchmark competitors across multiple platforms
• Track promotions, discounts, and inventory levels
• Analyze historical trends to forecast Black Friday performance

Automated data extraction reduces manual work and provides actionable insights that drive profitability.

Conclusion

By leveraging Flipkart Product Data Scraping API and other tools to Scrape product price drops during Black Friday sales, businesses can track real discount trends, optimize pricing, and maximize sales. Real-time and historical datasets enable informed decisions, smarter inventory management, and competitive advantage.

Start using Product Data Scrape today to gain actionable insights from Amazon & Flipkart Black Friday sales and boost revenue.

FAQs

How can I track real Black Friday discounts?

By using automated scraping tools like Product Data Scrape, you can Scrape product price drops during Black Friday sales, monitor live discounts, and analyze competitor pricing in real time across multiple platforms.

Can I extract data from both Amazon and Flipkart?

Yes. Product Data Scrape supports multi-platform extraction, allowing you to gather SKUs, discounts, and stock info from Amazon, Flipkart, and other e-commerce websites.

Is historical discount data available?

Yes. You can track Black Friday trends from 2020–2025 to analyze which categories and products receive the deepest discounts.

How does real-time scraping help my business?

It allows you to respond instantly to competitor price changes, optimize inventory, adjust promotions, and maximize sales during high-traffic events.

Do I need technical skills to use Product Data Scrape?

No. The platform provides structured datasets and APIs, making it easy for analysts and business teams to access and interpret Black Friday pricing and product data.

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