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Access, retrieve, and integrate public web data through one MCP server.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "brightdata-mcp" yet — see the docs or source repo.
Use brightdata-mcp to access public pages from five competitor websites, extract pricing, key features, and latest announcements, and organize them into a table.
A structured table summarizing each competitor’s pricing, feature highlights, and announcements.
Using brightdata-mcp, search and access public web pages to collect recent information on 'generative AI in education,' then list source links, summaries, and publication dates.
A source list with links, short summaries, and publication dates for each item.
Design an automated workflow with brightdata-mcp that regularly visits public pages on specified news sites and extracts titles, authors, dates, and article summaries.
An actionable collection workflow description and a standardized output schema for the extracted data.
Let AI agents extract public web data with proxies, CAPTCHA solving, and rendering.
Scrape web content and search documentation through a FastMCP-powered MCP server.
Search web, local, image, video, news, and LLM context with Brave.
Manage members, posts, leads, reviews, and other directory data in Brilliant Directories.
Query structured data in natural language without needing SQL or API expertise.
Enrich prospects, scrape LinkedIn, and sync CRM records with natural language.