How to Analyze Social Comments with OpenClaw
Automate social comment analysis at scale with OpenClaw and ToolRouter. Bulk comment mining across posts.
Tool
OpenClaw reads and analyzes comments across large numbers of posts simultaneously. Mine the comments from an entire competitor's post history, a category of viral content, or a set of industry thought leader posts in one operation — extracting the audience intelligence that fuels your content strategy.
Connect ToolRouter to OpenClaw
1Install the CLI
npm install -g toolrouter-mcp2Call tools directly from OpenClaw
toolrouter-mcp call web-search search --query "AI tools"
toolrouter-mcp toolsSteps
Once connected (see setup above), use the Social Reader tool:
- Provide the list of post URLs to analyze
- OpenClaw reads comments from all posts using social-reader
- Request thematic clustering and question extraction across the full comment set
- Receive a structured audience research report with actionable content recommendations
Example Prompt
Try this with OpenClaw using the Social Reader tool
Read the comments from the last 50 posts by the top 5 accounts in our industry. Extract all unique questions asked, cluster them into themes, and rank the themes by frequency. Output the results as a research brief with content recommendations for each theme.
Tips
- Use monthly comment sweeps to track how audience questions evolve as your market matures
- Run comment analysis on viral content in adjacent niches to spot cross-category audience interests
- Feed comment themes into your product roadmap alongside your content strategy