Scrape Product Price Drops During Black Friday Sales on Amazon & Flipkart
                     Black Friday Insights - Analyze Discounts When 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.
Avg Discount Repeat Buyer Avg Price Top-Selling 
Year
(%) Rate (%) Drop ($) Category
2020 28 12 45 Electronics
2021 30 14 48 Fashion
2022 32 15 50 Home 
Appliances
2023 35 16 55 Electronics
2024 33 18 57 Fashion
2025 38 20 60 Electronics
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.
Total New Products Avg Discount 
Year Products Top Category
Added (%)
Listed
2020 50,000 5,000 30 Electronics
2021 60,000 6,500 32 Fashion
2022 70,000 7,200 35 Electronics
Home 
2023 80,000 8,000 38
Appliances
2024 90,000 9,500 35 Fashion
2025 100,000 11,000 40 Electronics
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.
Avg Discount Yearly 
Platform Total Deals Top Category
(%) Growth (%)
Amazon 35 25,000 Electronics 10
Flipkart 38 22,000 Electronics 12
Myntra 30 18,000 Fashion 15
Ajio 28 15,000 Fashion 13
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.
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%.
Avg Discount New SKUs Stock-Out 
Year Top Category
(%) Added Rate (%)
2020 28 5,000 5 Electronics
2021 30 6,000 4 Fashion
2022 32 7,000 4 Electronics
Home 
2023 35 8,000 3 Appliances
2024 38 9,500 3 Fashion
2025 40 10,500 2 Electronics
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 
AFmAaQzosn & Flipkart Black Friday sales and boost revenue.
 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.
📩 Email: [email protected]
📩 Call or WhatsApp: +1 (424) 377-7584
📩 Read More: https://www.productdatascrape.com/scrape-product-price-
drops-black-friday-amazon-flipkart.php