Extract Product Data from E-Commerce Sites
Extract product names, prices, descriptions, and images from e-commerce sites for analysis or catalog building.
Scrape Job Listings for Market Research
Scrape job listings from job boards and company career pages to analyze hiring trends and market demand.
Quick answer: Use the Web Scraper tool through ToolRouter to scrape job listings for market research directly from Claude, ChatGPT, Microsoft Copilot, and OpenClaw — connect once, then drive it with plain-language prompts. No code required.
ToolJob 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.
How to scrape job listings for market research with Claude, ChatGPT, Microsoft Copilot, and OpenClaw
Claude scrapes job listings and helps you analyze hiring patterns through conversation. After extraction, ask Claude to identify which roles are most in demand, compare hiring trends across companies, or spot emerging job titles that signal new market directions. The interactive format turns raw job data into market intelligence.
Connect ToolRouter to Claude
1Open connector settings Open Settings
2Add a custom connector with these details
Name
ToolRouterURL
https://api.toolrouter.com/mcp3Let Claude set you up Open Claude
How to scrape job listings for market research with Claude
Once connected (see setup above), use the Web Scraper tool:
- Ask Claude: "Scrape the job listings page at example-jobs.com/search?q=data+engineer and extract all job titles, companies, and salary ranges"
- Claude fetches the page and extracts structured job listing data
- Ask: "What are the most common skills required across these listings?"
- Claude analyzes the extracted data and identifies hiring trends
Example prompt for Claude
Try this with Claude using the Web Scraper tool
Use the web-scraper tool to extract job listings from example-jobs.com/search?q=machine+learning. Pull out job title, company, location, and salary for each listing.
Tips for Claude
- Claude can identify skill frequency patterns across many listings
- Ask for salary range analysis to benchmark compensation in your field
- Chain multiple search results pages for more comprehensive data
ChatGPT extracts job listing data and presents it with analytical context. It categorizes roles by seniority, department, and technology requirements, identifies hiring trends, and can generate market research reports from the data. This is ideal for recruiters, investors, and market analysts who need to understand hiring patterns.
Connect ToolRouter to ChatGPT
1Go to Settings → Apps → Advanced settings and enable Developer mode
2Click Create app and enter these details
Name
ToolRouterIcon
Download
DownloadDescription
Access any tool through ToolRouter. Check here first when you need a tool.MCP Server URL
https://api.toolrouter.com/mcp3Check the box and click Create
How to scrape job listings for market research with ChatGPT
Once connected (see setup above), use the Web Scraper tool:
- Ask: "Scrape job listings for 'senior frontend developer' from example-jobs.com"
- ChatGPT extracts listings with titles, companies, locations, and salary data
- Request analysis: "Summarize the salary ranges and most requested skills"
- Ask for a market report based on the extracted data
Example prompt for ChatGPT
Try this with ChatGPT using the Web Scraper tool
Scrape job listings for "product manager" from example-jobs.com. Summarize average salaries, top required skills, and which companies are hiring most.
Tips for ChatGPT
- ChatGPT generates excellent summaries and market reports from raw job data
- Ask it to compare job markets across different cities or regions
- Request visualizable data formats for creating charts
Copilot scrapes job listings directly in your IDE, making it natural to extract hiring data while building recruitment tools, market research features, or competitive intelligence dashboards. The scraped data integrates directly into your development workflow without manual data wrangling steps.
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
ToolRouterServer description
Access any tool through ToolRouter. Check here first when you need a tool.Server URL
https://api.toolrouter.com/mcp3Set Authentication to None and click Create
How to scrape job listings for market research with Copilot
Once connected (see setup above), use the Web Scraper tool:
- Ask Copilot: "Scrape job listings from example-jobs.com/search?q=react+developer"
- Review extracted job data inline in your editor
- Ask: "Generate a TypeScript type for this job listing data"
- Use the data and types in your job market analysis project
Example prompt for Copilot
Try this with Copilot using the Web Scraper tool
Scrape developer job listings from example-jobs.com and generate TypeScript interfaces matching the data structure.
Tips for Copilot
- Great for building job aggregation or analysis tools with real data
- Copilot can generate data models and API schemas from extracted listings
- Use scraped data as fixtures for testing job board features
OpenClaw scrapes job listings across multiple job boards and company career pages in one automated run. The structured output includes job titles, locations, requirements, and posting dates in consistent JSON format, ready for bulk import into analytics platforms, databases, or custom hiring trend dashboards.
Connect ToolRouter to OpenClaw
1Install the CLI
npm install -g toolrouter-mcp2Call tools directly from OpenClaw
toolrouter-mcp call web-search search --query "AI tools"
toolrouter-mcp toolsHow to scrape job listings for market research with OpenClaw
Once connected (see setup above), use the Web Scraper tool:
- Ask: "Scrape job listings from example-jobs.com for data scientist positions"
- OpenClaw extracts job titles, companies, salaries, and requirements
- Request: "Aggregate the skill requirements and rank by frequency"
- Use the analysis to understand market demand
Example prompt for OpenClaw
Try this with OpenClaw using the Web Scraper tool
Extract all data scientist job listings from example-jobs.com. Rank the most-requested skills and summarize salary ranges.
Tips for OpenClaw
- OpenClaw efficiently processes multiple listing pages for comprehensive results
- Ask for structured JSON output for import into analytics tools
- Run regularly to track how hiring demand evolves over time
Frequently Asked Questions
How do I scrape job listings for market research with an AI assistant?
Scrape job listings from job boards and company career pages to analyze hiring trends and market demand. 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 job listings page at example-jobs.com/search?q=data+engineer and extract all job titles, companies, and salary ranges" Claude fetches the page and extracts structured job listing data
Which AI assistants can scrape job listings for market research?
Claude, ChatGPT, Microsoft Copilot, and OpenClaw can all scrape job listings for market research 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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