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

Scrape Reviews for Sentiment Analysis

Scrape customer reviews from review sites and product pages for sentiment analysis and feedback insights.

Tool
Web Scraper icon
Web Scraper

Customer reviews contain unfiltered feedback about what people love and hate about products and services. Analyzing reviews at scale reveals patterns that individual reading cannot — recurring complaints, feature requests, and sentiment shifts that correlate with product changes or competitor moves.

ToolRouter's scrape_page fetches review pages while extract_data pulls out individual review text, ratings, dates, and reviewer information. This structured review data becomes the foundation for sentiment analysis, topic modeling, and competitive benchmarking. You can track how sentiment changes over time, compare sentiment across competitors, and identify the specific issues driving negative reviews.

Product managers use review data to prioritize feature development. Marketing teams monitor brand perception. Customer success teams identify common pain points. Investors use review sentiment as a signal for company health. The raw data from reviews is one of the most honest signals available about product-market fit.

Agent Guides

Claude

  1. Connect ToolRouter to Claude: claude mcp add toolrouter -- npx -y toolrouter-mcp
  2. Ask Claude: "Scrape the reviews page at example-store.com/product/123/reviews and extract review text, ratings, and dates"
  3. Claude fetches and extracts structured review data from the page
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ChatGPT

  1. Configure ToolRouter in ChatGPT via MCP settings
  2. Ask: "Scrape customer reviews from example-store.com/product/123/reviews"
  3. ChatGPT extracts reviews with text, ratings, and metadata
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Copilot

  1. Add ToolRouter to your Copilot MCP configuration
  2. Ask Copilot: "Scrape reviews from example-store.com/product/123/reviews"
  3. Review the extracted data in your editor
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OpenClaw

  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
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