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Tools / Web Scraper / Use Cases / Scrape Reviews for Sentiment Analysis / OpenClaw

How to Scrape Reviews for Sentiment with OpenClaw

Use OpenClaw and ToolRouter to scrape reviews for sentiment analysis. Automated feedback extraction and insight discovery.

Tool
Web Scraper icon
Web Scraper

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.

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
No API key needed — account created automatically.All platforms →

Steps

Once connected (see setup above), use the Web Scraper tool:

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

Example Prompt

Try this with OpenClaw using the Web Scraper tool
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

More OpenClaw Guides

How to Extract Product Data with OpenClawHow to Monitor Competitor Pricing with OpenClawHow to Scrape Job Listings with OpenClawHow to Extract Contact Info with OpenClawHow to Extract Event Listings with OpenClaw

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