---
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/claude
---
# How to Scrape Reviews for Sentiment with Claude

Claude scrapes customer reviews and immediately helps you find patterns in the feedback. After extraction, ask Claude to identify recurring complaints, highlight what customers praise most, compare sentiment across products, or suggest product improvements based on the most common negative themes.

## Setup

claude mcp add toolrouter -- npx -y toolrouter-mcp

## Steps

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
4. Ask: "Analyze the sentiment of these reviews. What are the main themes in positive and negative feedback?"
5. Claude provides a sentiment breakdown with key themes and actionable insights

## Example Prompt

```
Use the web-scraper tool to extract reviews from example-store.com/product/123/reviews. Then analyze the sentiment and tell me the top 3 complaints and top 3 praised features.
```

## Tips

- Claude can perform sentiment analysis directly on the extracted review text
- Ask for a breakdown by star rating to see what each segment talks about
- Chain multiple review pages for comprehensive sentiment analysis
