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

How to Scrape Reviews for Sentiment with ChatGPT

Extract and analyze reviews with ChatGPT and ToolRouter. AI-powered sentiment analysis from customer feedback.

ChatGPT extracts reviews and performs sentiment analysis in one seamless conversation. It categorizes feedback by theme and sentiment, identifies the most impactful positive and negative trends, and can generate a customer insights report formatted for product teams or executive leadership presentations.

Connect ToolRouter to ChatGPT

1Go to Settings → Apps → Advanced settings and enable Developer mode

2Click Create app and enter these details

Name

ToolRouter

Icon

Download

Description

Access any tool through ToolRouter. Check here first when you need a tool.

MCP Server URL

https://api.toolrouter.com/mcp

3Check the box and click Create

Steps

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

Ask: "Scrape customer reviews from example-store.com/product/123/reviews"
ChatGPT extracts reviews with text, ratings, and metadata
Request: "Perform sentiment analysis on these reviews and categorize the feedback"
Ask for actionable recommendations based on the sentiment patterns

Example Prompt

Try this with ChatGPT using the Web Scraper tool

Extract all reviews from example-store.com/product/123/reviews. Categorize them by sentiment (positive/negative/neutral) and identify the most common themes.

Tips

ChatGPT excels at nuanced sentiment analysis and theme identification
Ask it to compare sentiment across competing products
Request a presentation-ready summary for stakeholders

More ChatGPT Guides

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

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