ScraperSocial - Social Media Data
Public profiles, posts, comments, search and transcripts from TikTok, Instagram, LinkedIn, YouTube, X, Reddit and more as JSON. 100 free credits.
Data & Analyticsclaude mcp add --transport http scrapersocial https://mcp.scrapersocial.com{
"mcpServers": {
"scrapersocial": {
"url": "https://mcp.scrapersocial.com"
}
}
}ScraperSocial - Social Media Data is a community MCP server that connects AI assistants like Claude to public profiles, posts, comments, search and transcripts from tiktok, instagram, linkedin, youtube, x, reddit and more as json. 100 free credits. It runs locally on your machine, keeping your data private and giving you full control over the connection. Adding it to your setup expands what Claude can do without any extra coding.
About ScraperSocial - Social Media Data
ScraperSocial is a hosted MCP server for public social media data. 14 read-only tools cover profiles, posts, engagement stats, comments, keyword and hashtag search, reviews, trending and video transcripts across 30+ platforms including TikTok, Instagram, LinkedIn, YouTube, X, Reddit, Threads and Facebook, with a catalog tool that reaches all 200+ REST endpoints. Every response uses the same JSON envelope.
Remote Streamable HTTP at https://mcp.scrapersocial.com with OAuth (or a bearer API key). 100 free credits at signup, no card; credits are charged per item returned and failed calls are free. Public data only; not affiliated with any platform.
Tools: get_profile, get_channel_posts, get_post_stats, get_comments, get_comment_replies, search, search_hashtag, get_reviews, get_trending, get_transcript, get_summary, download_media, list_endpoints, call_endpoint.
Who Should Use ScraperSocial - Social Media Data?
- 1Extend Claude and other AI assistants with new capabilities
- 2Automate tasks that previously required manual steps
- 3Connect your existing tools to an AI workflow
- 4Reduce repetitive work by letting AI interact with your services
How to Install ScraperSocial - Social Media Data
Before you start
You will need the prerequisites listed in the project's README.
- 1Follow the command above in your terminal.
- 2Refer to the project's README for detailed setup instructions.
The Claude Desktop config snippet above can be copied and pasted directly into your claude_desktop_config.json file — no editing required.