E-Commerce Product Listing and Catalog Web Scraping
Pain Points (Public)
Businesses need comprehensive product catalog data from major e-commerce platforms for pricing analysis and catalog synchronization, but encounter aggressive anti-scraping defenses, strict IP rate limits, dynamic JavaScript rendering, and deeply nested attributes like SKUs and item specifics across large volumes of listings.
Suggested Approach (Public)
Deploy a scalable distributed scraping pipeline using Scrapy integrated with Playwright for JavaScript rendering, rotating residential proxies to navigate anti-bot protections, and Redis-backed task queues to reliably stream normalized product data into PostgreSQL or Parquet storage.
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Posted budgets are not confirmed payments. Task counts do not establish independent buyers or willingness to subscribe. Small samples are preliminary signals.
Opportunity assessment PRO
Development brief PRO
- Target boutique eBay sellers needing full catalog extraction (e.g., ~3,000 items) with fixed fast-turnaround pricing.
- Build a focused scraper module targeting eBay seller catalog pagination and SKU attribute extraction.
Competitor evidence PRO
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Public Demand Evidence · 2 task(s)
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