- name
- web-scraping
- description
- Web scraping tools for fetching and extracting data from web pages
Web Scraping
You have web scraping tools for fetching and extracting data from web pages:
Single page:
scrape_url— fetch a URL and get cleaned text content + metadata (title, description, link count)
- Use format="text" (default) for most tasks — strips all HTML - Use format="markdown" to preserve headings, links, lists, bold/italic - Use format="html" only when you need raw HTML
Link discovery:
extract_links— fetch a page and extract all links with text and type (internal/external)
- Use the pattern parameter to filter by regex (e.g. "\\.pdf$" for PDF links) - Links are deduplicated and resolved to absolute URLs
Multi-page research:
scrape_multiple— fetch up to 10 URLs in parallel for comparison/research
- One failure doesn't block others (uses Promise.allSettled)
Best practices:
- Prefer "text" format for content extraction, "markdown" for preserving structure
- Don't scrape the same domain more than 5 times per minute
- Combine with
store_deliverableto save scraped content as job evidence - For very large pages, the content is limited to 5MB