Fast Multi-Platform Scraper Needed

Job ID: 39792373

Budget: ₹1,500 – ₹12,500 INR

I need a robust scraping tool that can pull complete product data in real time from Amazon, Flipkart, Myntra, Blinkit, Zepto, and Swiggy. The scraper must handle unlimited requests without time-out or row limits and deliver the raw output straight into an Excel file (XLSX or CSV).

For every product page the tool should capture:
• Full product details (title, description, specifications, images)
• Current pricing, discounts, and any dynamic price changes
• Customer reviews, ratings, and review counts

Architecture is up to you—Python with Scrapy or Playwright, Node.js with Puppeteer, headless browser automation, or an API-driven approach—so long as the result is fast, stable, and bypasses typical anti-scraping roadblocks like captchas and geo-blocking. Please include proxy rotation or other anti-ban methods to keep the flow uninterrupted.

Acceptance criteria
• One-click execution that lets me enter a list of product URLs or category URLs and instantly starts extraction
• Output neatly structured in Excel with separate sheets or clearly labeled columns for each data type
• Real-time refresh option: when triggered, the tool updates existing rows instead of duplicating them
• Documentation covering setup, dependencies, and how to add new marketplaces later
• Short demo (video or live screenshare) proving unlimited scrape capability across all six platforms

Let me know which stack you prefer and any previous scraping projects you have done on high-traffic sites like these so I can hit the ground running.
Related categories: PHP Python Excel Web Scraping Software Architecture Node.js Scrapy API