Resilient Marketplace Product Catalog Scraper
Pain Points (Public)
E-commerce sellers and market intelligence teams struggle to harvest catalog and pricing data from major regional platforms like Allegro at scale, as strict anti-bot WAFs, dynamic pagination, and aggressive IP rate-limiting routinely break standard scrapers and yield incomplete listings.
Suggested Approach (Public)
A distributed data extraction pipeline combining rotating residential proxy pools, stealth browser automation, and schema-normalization parsers to continuously collect SKU titles, pricing tiers, stock status, and seller metrics into structured databases.
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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
- Position as a specialized headless Allegro.pl catalog monitor targeting Polish e-commerce sellers who cannot access competitor offers via the official Allegro API.
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- Build core Allegro.pl scraper worker using Python and Playwright/Scrapy with rotating proxy integration to reliably extract product title, price, seller info, category, and availability.
Competitor evidence PRO
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Public Demand Evidence · 2 task(s)
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