Scrape Product Data — Amazon, Flipkart, Ajio, Meesho & Myntra

By Author: REAL DATA API
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Competitive Analysis & Pricing Insights with Multi-Platform E-commerce Data Extraction

The Indian e-commerce ecosystem has grown rapidly, with Amazon, Flipkart, Ajio, Meesho, and Myntra leading in product variety, aggressive pricing, and customer engagement. Businesses now depend on real-time structured datasets to analyze competitors, track price changes, and understand consumer demand. By scraping product data from these platforms, organizations can extract pricing, inventory, reviews, and SKU-level insights that support better decision-making.

Ajio has emerged as a major fashion leader, and using an Ajio Scraping API, companies can capture product details, pricing, and customer sentiment to analyze category-level performance. Combined multi-site extraction helps optimize product launches, improve pricing strategies, and guide marketing decisions.

Flipkart Trends

Flipkart product scraping reveals category expansion and strong electronics growth.

2020–2025 Summary

Listings increased from 40M → 65M

Electronics orders rose to 45%

Avg rating improved from 4.2 → ...
... 4.5

Flipkart review datasets help identify top SKUs, customer expectations, and demand patterns across regions.

Amazon Insights

Using the Amazon API Scraper, businesses can extract granular pricing and availability data.

Highlights (2020–2025)

Products increased 35M → 60M

Avg price rose from €150 → €175

Orders grew 20–30% yearly

Improved delivery times & dynamic pricing algorithms

Structured Amazon datasets support competitive benchmarking and pricing optimization.

Meesho Growth

Meesho data extraction helps track social-commerce trends, seller behavior, and regional adoption.

2020–2025 Overview

Sellers grew 5M → 10M

Repeat customers increased to 32%

Strong growth in apparel, beauty & accessories

These insights highlight emerging sellers, fast-moving products, and regional demand patterns.

Ajio Pricing Analysis

Ajio scraping reveals strong growth in fashion and curated categories.

Key Data (2020–2025)

SKUs increased 200K → 350K

Avg prices grew ₹1200 → ₹1380

Discount rates stabilized around 18%

Ajio product datasets support competition tracking and seasonal trend analysis.

Cross-Platform Market Snapshot
Category Amazon Flipkart Ajio Meesho Myntra
Electronics 35% 30% 5% 5% 5%
Fashion 10% 10% 15% 5% 20%
FMCG/Others 5% 5% 5% 10% 5%

Businesses use this data to benchmark pricing, identify winning categories, and optimize product assortments.

Price & SKU Performance

Cross-platform analytics highlight fluctuations in electronics and fashion pricing.

2020–2025

Electronics price variation: 10–13%

Fashion variation: 12–17%

Top SKUs contribute 60–65% of overall revenue

These insights drive smarter pricing, inventory planning, and campaign strategy.

Why Real Data API?

Using Real Data API for Amazon, Flipkart, Ajio, Meesho, and Myntra scraping allows businesses to:

Extract real-time pricing, product, and review data

Benchmark competitors across platforms

Forecast demand & optimize product launches

Integrate insights into dashboards for live monitoring

Automated scraping ensures accuracy, reduces manual effort, and accelerates market research.

Conclusion

Multi-platform e-commerce scraping delivers the competitive intelligence needed to stay ahead. By extracting structured product and pricing data from Amazon, Flipkart, Ajio, Meesho & Myntra, businesses can optimize pricing, track trends, and improve product strategies. Real Data API enables fast, reliable, and scalable data extraction for comprehensive market analysis.

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