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Scraping AliExpress Specs: Selectors, Agents, or Neither?

Scraping AliExpress Specs: Selectors, Agents, or Neither?

Episode 5869 Published 1 week, 6 days ago
Description
Daniel has a home inventory system that tracks where things physically are, and he wants to add a snapshot function: save an AliExpress URL, pull the page, keep only the technical sheet. No reviews, no price. The obvious plan — define the divs, extract them — runs into a problem that has already happened: AliExpress product pages are client-side rendered, the inline params object is now an empty object, and a parser reading it returns nothing while logging a success. So what are the live options? A maintained Apify actor that returns a parsed specs array, or an agentic extraction layer like Firecrawl's JSON mode where the prompt names both the field and where on the page it lives. Both assume you can reach the page at all — and Alibaba's Baxia anti-bot returns HTTP 200 with a punishment header, so a dashboard counting 2xx responses reports a healthy pipeline while every row is empty. The extraction library is competing for second place. Key sources: • Apify Actor `logical_scrapers/aliexpress-scraper` (Goldmine) — https://apify.com/logical_scrapers/aliexpress-scraper • Apify docs, Webhook integration — https://docs.apify.com/platform/integrations/webhooks • Firecrawl docs, JSON mode — https://firecrawl.mintlify.app/features/llm-extract Episode 5869 — myweirdprompts.com/n/5869 (permanent short link: myweirdprompts.com/138145)
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