---
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/web-scraper/use-cases/scrape-reviews-for-sentiment/openclaw
---
# How to Scrape Reviews for Sentiment with OpenClaw

OpenClaw scrapes reviews from multiple platforms simultaneously, producing a structured dataset of review text, ratings, and dates ready for sentiment analysis. The batch approach handles thousands of reviews in a single run and outputs data in formats compatible with NLP pipelines, analytics tools, and machine learning workflows.

## Setup

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

## Steps

1. Connect ToolRouter to OpenClaw: openclaw mcp add toolrouter -- npx -y toolrouter-mcp
2. Ask: "Scrape reviews from example-store.com/product/123/reviews"
3. OpenClaw extracts review text, ratings, and dates as structured data
4. Request: "Classify these reviews by sentiment and extract the key topics"
5. Use the analysis to identify product improvement opportunities

## Example Prompt

```
Extract reviews from example-store.com/product/123/reviews. Classify sentiment and list the top recurring themes.
```

## Tips

- OpenClaw handles pagination across multiple review pages
- Ask for structured JSON output for feeding into analytics dashboards
- Run across competitor products to compare sentiment patterns
