---
title: ToolRouter — Use Case
description: Step-by-step guide for a real-world ToolRouter use case with agent-specific instructions.
url: https://toolrouter.com/tools/web-scraper/use-cases/extract-testimonials
---
# Extract Social Proof and Testimonials

Social proof is one of the most persuasive elements in marketing, but collecting testimonials and case study data from across the web is time-consuming. Whether you are gathering testimonials from your own scattered web properties, analyzing how competitors use social proof, or building a database of customer success stories, automated extraction makes the process fast and comprehensive.

ToolRouter's scrape_page and extract_data skills work together to pull testimonial content from any page — including the quote text, customer name, company, role, and any associated metrics or results. This works on dedicated testimonial pages, case study sections, review widgets, and social proof scattered throughout landing pages.

Marketing teams use extracted testimonials to build social proof libraries for sales collateral. Competitive analysts study how rivals position their customer stories. Content teams compile case study data for new marketing materials. Growth teams analyze which types of testimonials are most common in their industry to inform their own social proof strategy.

**Tool:** [Web Scraper](https://toolrouter.com/tools/web-scraper)
**Skills:** scrape_page, extract_data

## Agent Guides

- [How to Extract Testimonials with Claude](https://toolrouter.com/tools/web-scraper/use-cases/extract-testimonials/claude): Guide for Claude
- [How to Extract Testimonials with ChatGPT](https://toolrouter.com/tools/web-scraper/use-cases/extract-testimonials/chatgpt): Guide for ChatGPT
- [How to Extract Testimonials with Copilot](https://toolrouter.com/tools/web-scraper/use-cases/extract-testimonials/copilot): Guide for Copilot
- [How to Extract Testimonials with OpenClaw](https://toolrouter.com/tools/web-scraper/use-cases/extract-testimonials/openclaw): Guide for OpenClaw
