Extract Product Data from E-Commerce Sites
Extract product names, prices, descriptions, and images from e-commerce sites for analysis or catalog building.
Extract Contact Information from Directories
Extract business contact information from online directories and company pages for lead generation.
Quick answer: Use the Web Scraper tool through ToolRouter to extract contact information from directories directly from Claude, ChatGPT, Microsoft Copilot, and OpenClaw — connect once, then drive it with plain-language prompts. No code required.
ToolBusiness directories, professional associations, and company websites contain valuable contact information that powers sales outreach and business development. Manually collecting this data from hundreds of directory pages is a bottleneck that slows down lead generation and prospecting efforts.
ToolRouter's scrape_page and extract_data skills work together to pull structured contact information from directory listings, including business names, phone numbers, email addresses, physical addresses, and website URLs. The extraction handles various directory formats and can parse contact details even when they're embedded in complex page layouts.
Sales teams use this for building prospect lists from industry directories. Marketing teams compile contact databases for outreach campaigns. Researchers aggregate business data from professional associations. The key is transforming scattered web data into a clean, structured contact database.
How to extract contact information from directories with Claude, ChatGPT, Microsoft Copilot, and OpenClaw
Connect ToolRouter
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
Claude extracts contact information from directories and helps you build targeted prospect lists through follow-up questions. After the initial extraction, ask Claude to filter contacts by role, industry, or location, enrich the data with additional context, or format the results for import into your CRM.
How to extract contact information from directories
Once connected (see setup above), use the Web Scraper tool — the same steps work with Claude, ChatGPT, Microsoft Copilot, OpenClaw, and any MCP client:
- Ask Claude: "Scrape the business directory at example-directory.com/category/consulting and extract all business names, phone numbers, and emails"
- Claude uses scrape_page and extract_data to return structured contact records
- Ask: "Clean up the data and remove any duplicate entries"
- Claude deduplicates and formats the contact list for export
Example prompt
Try this with the Web Scraper tool
Use the web-scraper tool to extract business names, phone numbers, email addresses, and websites from example-directory.com/lawyers/new-york.
Tips
- Claude can deduplicate and validate extracted contact data automatically
- Ask for CSV-formatted output for easy import into your CRM
- Chain multiple directory pages for comprehensive coverage
Frequently Asked Questions
How do I extract contact information from directories with an AI assistant?
Extract business contact information from online directories and company pages for lead generation. 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 business directory at example-directory.com/category/consulting and extract all business names, phone numbers, and emails" Claude uses scrape_page and extract_data to return structured contact records
Which AI assistants can extract contact information from directories?
Claude, ChatGPT, Microsoft Copilot, and OpenClaw can all extract contact information from directories 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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