Pricing

Pay per event

GoodFirms Scraper - B2B IT Services Directory & Lead Generation

Scrape company profiles from GoodFirms.co — the B2B directory for IT services firms and software products. Extract names, websites, phone, email, addresses, founded year, company size, hourly rates, service focus, industry focus, and client focus.

Pricing

Pay per event

Rating

0.0

(0)

Developer

BowTiedRaccoon

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Total users

Monthly active users

a day ago

Last modified

Configure MCP server with GoodFirms Scraper - IT Services Directory & Leads

Get a ready-to-use configuration for your MCP client with the GoodFirms Scraper - IT Services Directory & Leads Actor preconfigured at mcp.apify.com?tools=jungle_synthesizer/goodfirms-scraper .

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.

If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.

Goodfirms Scraper

piotrv1001/goodfirms-scraper

The GoodFirms Scraper extracts company listings and enriched profiles from GoodFirms.co directories, capturing company names, ratings, reviews, hourly rates, contact details, social links, and multi-office addresses — ideal for B2B lead generation and market research.

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Extract agency profiles, reviews, ratings & service offerings from GoodFirms. Ideal for B2B lead generation, competitor analysis & agency research.

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happitap/goodfirms-scraper

Extract verified company profiles, ratings, reviews, contact info, and service details from GoodFirms.co. Perfect for B2B lead generation and market research.

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scrapestorm/goodfirms-company-scraper---cheap

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Looking to collect business listings from local.ch? 🏢🔎 With this scraper, you can extract business data including name, categories, address, city, ratings, contact details (phone, email), websites, opening hours & more Perfect for lead generation, competitor research, and structured datasets 📊

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