Website Content Crawler
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Website Content Crawler
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Crawl websites and extract text content to feed AI models, LLM applications, vector databases, or RAG pipelines. The Actor supports rich formatting using Markdown, cleans the HTML, downloads files, and integrates well with 🦜🔗 LangChain, LlamaIndex, and the wider LLM ecosystem.
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Get a demoI need to scrape all relevant content from the Meta Business Help Center (https://www.facebook.com/business/help) to train an AI system. I have run several scrapers with different settings, including cookies and advanced request parameters. The scrapers were completed successfully but without retrieving any data. Run ID dllOUFYAUyVqBgcsH, Run ID hryHdigMK8ozlZQjx.
Main issues: -A message indicates that login is required to access the data. -In some cases, the scraper cannot find the data on the page. Could you please assist me in fixing the configuration errors or advise on how to set up the scraper to successfully retrieve the content? Thank you in advance!
Hello, and thank you for your interest in this Actor!
It looks like there are multiple parts to this problem:
- First of all, Facebook is generally really good at anti-scraping protection. Even though this is just a support page, it's entirely possible that WCC might not be able to fully scrape it because of the content protection services they use.
- The page seems to have dynamic content (stuff is still popping up in my browser even after the initial page is loaded). You might not be able to scrape this using Cheerio Crawler, as this crawler type does not support dynamic loading on pages. Try switching to the
Firefox + Playwright
Crawler type and see how the extracted content changes. - Login might be required to access the data. I see you're submitting cookies in the
initialCookies
input field; this might help, but note that login cookies often expire (make sure to test with the freshest tokens straight from your browser).
These are just a few tips I have. Hopefully, this gave you something to start with, at least; if you hit any new obstacles, feel free to let us know!
- 3.8k monthly users
- 635 stars
- 100.0% runs succeeded
- 2.7 days response time
- Created in Mar 2023
- Modified 7 days ago