Tools / Web Scraper / Use Cases / Scrape Job Listings for Market Research

Scrape Job Listings for Market Research

Scrape job listings from job boards and company career pages to analyze hiring trends and market demand.

Tool
Web Scraper icon
Web Scraper

Job listings are a goldmine of market intelligence. They reveal what skills companies are hiring for, what salaries they offer, where they're expanding, and what technologies they're adopting. Analyzing job data at scale gives you insights that no survey or report can match because it reflects actual hiring behavior, not self-reported intentions.

ToolRouter's scrape_page skill fetches job listing pages while extract_data pulls out structured fields like job title, company, location, salary range, required skills, and posting date. This works across major job boards and company career pages, handling different page layouts automatically.

Recruiting agencies use this data to understand talent demand. Startups use it to benchmark salaries. Investors use it to track which companies are scaling. Career coaches use it to advise clients on high-demand skills. The applications are as varied as the insights the data provides.

Agent Guides

Claude

  1. Connect ToolRouter to Claude: claude mcp add toolrouter -- npx -y toolrouter-mcp
  2. Ask Claude: "Scrape the job listings page at example-jobs.com/search?q=data+engineer and extract all job titles, companies, and salary ranges"
  3. Claude fetches the page and extracts structured job listing data
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ChatGPT

  1. Configure ToolRouter in ChatGPT via MCP settings
  2. Ask: "Scrape job listings for 'senior frontend developer' from example-jobs.com"
  3. ChatGPT extracts listings with titles, companies, locations, and salary data
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Copilot

  1. Add ToolRouter to your Copilot MCP configuration
  2. Ask Copilot: "Scrape job listings from example-jobs.com/search?q=react+developer"
  3. Review extracted job data inline in your editor
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OpenClaw

  1. Connect ToolRouter to OpenClaw: openclaw mcp add toolrouter -- npx -y toolrouter-mcp
  2. Ask: "Scrape job listings from example-jobs.com for data scientist positions"
  3. OpenClaw extracts job titles, companies, salaries, and requirements
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