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.

Quick answer: Use the Web Scraper tool through ToolRouter to scrape reviews for sentiment analysis directly from Claude, ChatGPT, Microsoft Copilot, and OpenClaw — connect once, then drive it with plain-language prompts. No code required.

Tool

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.

How to scrape reviews for sentiment analysis with Claude, ChatGPT, Microsoft Copilot, and OpenClaw

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.

Connect ToolRouter to Claude

1Open connector settings Open Settings

2Add a custom connector with these details

Name

ToolRouter

URL

https://api.toolrouter.com/mcp

3Let Claude set you up Open Claude

How to scrape reviews for sentiment analysis with Claude

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

Ask Claude: "Scrape the reviews page at example-store.com/product/123/reviews and extract review text, ratings, and dates"
Claude fetches and extracts structured review data from the page
Ask: "Analyze the sentiment of these reviews. What are the main themes in positive and negative feedback?"
Claude provides a sentiment breakdown with key themes and actionable insights

Example prompt for Claude

Try this with Claude using the Web Scraper tool

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 for Claude

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

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

How to scrape reviews for sentiment analysis with ChatGPT

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 for ChatGPT

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 for ChatGPT

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

Copilot scrapes review data in your IDE, which is ideal for developers building sentiment analysis features, review aggregation tools, or customer feedback dashboards. Extract real review data alongside the code that processes it, enabling faster iteration on NLP and classification logic.

Connect ToolRouter to Copilot

1In your agent, go to Tools → Add a tool → New tool

2Choose Model Context Protocol and enter these details

Server name

ToolRouter

Server description

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

Server URL

https://api.toolrouter.com/mcp

3Set Authentication to None and click Create

How to scrape reviews for sentiment analysis with Copilot

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

Ask Copilot: "Scrape reviews from example-store.com/product/123/reviews"
Review the extracted data in your editor
Ask: "Generate a Python script that performs sentiment analysis on this review data"
Use the generated code and data in your analytics pipeline

Example prompt for Copilot

Try this with Copilot using the Web Scraper tool

Extract reviews from example-store.com/product/123/reviews and generate a Python sentiment analysis script for the extracted data.

Tips for Copilot

Perfect for building review analytics tools with real data samples
Copilot can generate NLP pipeline code tailored to the extracted data format
Use extracted reviews as test fixtures for sentiment analysis features

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

How to scrape reviews for sentiment analysis with OpenClaw

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

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

Example prompt for OpenClaw

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 for OpenClaw

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

Frequently Asked Questions

How do I scrape reviews for sentiment analysis with an AI assistant?

Scrape customer reviews from review sites and product pages for sentiment analysis and feedback insights. Connect the Web Scraper tool to Claude, ChatGPT, Microsoft Copilot, and OpenClaw through ToolRouter, then ask the assistant in plain language. For example: Ask Claude: "Scrape the reviews page at example-store.com/product/123/reviews and extract review text, ratings, and dates" Claude fetches and extracts structured review data from the page

Which AI assistants can scrape reviews for sentiment analysis?

Claude, ChatGPT, Microsoft Copilot, and OpenClaw can all scrape reviews for sentiment analysis using the Web Scraper tool through ToolRouter, with no API keys or coding required.

What does the Web Scraper tool do?

Scrape, crawl, and extract structured data from any website with powerful web scraping tools.

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