web-scraping

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_deliverable to save scraped content as job evidence
• For very large pages, the content is limited to 5MB