Tools / Social Media Comments / Use Cases / Find Product Feedback in Social Comments / OpenClaw

How to Find Product Feedback with OpenClaw

Product feedback extraction with OpenClaw and ToolRouter. Mine social comments for user insights.

OpenClaw automates product feedback extraction by batch-pulling comments from product-related posts across platforms and categorizing every piece of feedback. Output includes structured feedback inventories with category labels, frequency scores, and source attribution. Import directly into product management tools for data-driven roadmap planning.

Connect ToolRouter to OpenClaw

1Install the CLI

npm install -g toolrouter-mcp

2Call tools directly from OpenClaw

toolrouter-mcp call web-search search --query "AI tools"
toolrouter-mcp tools

Steps

Once connected (see setup above), use the Social Media Comments tool:

Ask OpenClaw: "Pull comments from this YouTube review and extract product feedback"
OpenClaw fetches comments and highlights actionable feedback
Ask: "What patterns emerge? What do users want most?"

Example Prompt

Try this with OpenClaw using the Social Media Comments tool

Collect comments from this YouTube product review and this TikTok video. Extract all product feedback and identify the most requested improvements.

Tips

Look at both your product posts and competitor product posts for a complete picture
Ask for feedback grouped by product area to route to the right team

More OpenClaw Guides

How to Analyze Comment Sentiment with OpenClaw How to Monitor Customer Issues with OpenClaw How to Research Campaign Reactions with OpenClaw How to Identify Common Questions with OpenClaw How to Analyze Engagement Patterns with OpenClaw

Related Workflows

Influencer DiscoveryDiscover and vet potential influencer partners by profiling their audience, searching niche creators, evaluating engagement quality, and finding contacts.Review MonitoringMonitor customer feedback across app stores, social comments, community discussions, and brand perception to stay ahead of reputation issues.Crisis MonitoringMonitor for brand reputation crises by scanning news, social media, and comment sentiment to detect and assess threats early.Customer Research PipelineBuild customer personas from real social data by mining social media conversations, analyzing comments, generating personas, and validating with market research.