MCP Scraper
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‹ Changelog
0.103.12

Choose which Reddit threads to fetch

Reddit Trends can show you the links first. Choose the discussions you want, then fetch their posts and comments together. Say “auto-approve” to search and fetch in one call.

How to review a batch

  • Start with a topic and request a preview. For a Scottsdale roofing search, you can scan the titles and URLs before any of the threads are opened.
  • Approve only the discussions you would use. The tool opens those threads as a batch and returns the posts and captured comments.
  • For a recurring workflow where you want the tool to fetch immediately, choose auto-approve. The date and comment settings still apply.

Try asking your MCP client: “Find Reddit threads about Scottsdale roofer recommendations. Show me the URLs first and wait for me to pick which ones to fetch.”

Improvements
  • Preview candidate titles and URLs before opening threads, then fetch only the links you choose.
  • Keep related questions such as “Roofing Contractor?” in the results even if the title omits “recommendations.”
  • Use the date window as a discovery hint in review mode. Fetching verifies the post date or a captured comment date against that window.
Fixes
  • Recover candidates when the search engine returns an alternate results layout.
  • Check additional candidates when a dated search falls short.
MCP server
  • Set approvalMode to review in reddit_trending. The response contains the review ID and the proposed URLs.
  • Within one hour, call the tool with approvalMode set to approve, the original reviewId, and your approvedUrls. The original window and comment settings carry over.
  • Set approvalMode to auto to search and fetch immediately. Use reddit_thread when you already have one known URL.
  • Discovery, fetched threads, and returned comments are billed separately.
SDK
  • The Reddit Trends endpoint and Node, Python, and CLI bindings support review, approve, and auto modes.
  • Keep the review ID with the URLs you present in your app. Submit the selected URLs from that same review when the reader approves them.