---
title: ToolRouter — Agent Use Case Guide
description: Step-by-step guide for completing a task with a specific AI agent using ToolRouter.
url: https://toolrouter.com/tools/social-media-comments/use-cases/find-product-feedback/openclaw
---
# How to Find Product Feedback with OpenClaw

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.

## Setup

openclaw mcp add toolrouter -- npx -y toolrouter-mcp

## Steps

1. Connect ToolRouter: openclaw mcp add toolrouter -- npx -y toolrouter-mcp
2. Ask OpenClaw: "Pull comments from this YouTube review and extract product feedback"
3. OpenClaw fetches comments and highlights actionable feedback
4. Ask: "What patterns emerge? What do users want most?"

## Example Prompt

```
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
