Scrape Google Maps - extract places, reviews, and business data
The All-in-One Web Scraping & Data Platform — Scrape Google Maps, Instagram, Amazon, LinkedIn, TikTok, YouTube, and 50+ platforms via ready-to-use REST APIs.
✅ No browser automation · ✅ No proxy management · ✅ Free credits for new users
Learn how to scrape Google Maps business listings, reviews, emails, phone numbers, websites, and Place IDs.
This repository explains different approaches to scraping Google Maps and introduces production-ready APIs for developers and businesses.
Using Google Maps data, you can collect:
- Business Name
- Phone Number
- Website
- Email (when available)
- Address
- Categories
- Rating
- Review Count
- Reviews
- Place ID
- Latitude & Longitude
- Opening Hours
- Images
Build targeted B2B lead lists from Google Maps.
Example industries:
- Roofing
- HVAC
- Plumbing
- Dentists
- Lawyers
- Restaurants
- Electricians
- Auto Repair
Monitor competitors.
Analyze rankings.
Track reviews.
Use Google Maps data for:
- AI Agents
- RAG
- Business Search
- Recommendation Systems
| Method | Difficulty | Maintenance |
|---|---|---|
| Manual Copy | Easy | High |
| Browser Automation | Medium | High |
| Custom Scraper | Hard | Very High |
| CoreClaw API | Easy | None |
Why CoreClaw?
CoreClaw provides production-ready Google Maps APIs.
✅ No browser automation
✅ No proxy management
✅ REST API
✅ CSV Export
✅ JSON Export
✅ Batch Search
✅ Free Credits
- Google Maps Business Scraper
- Google Maps Reviews Scraper
- Google Maps Place ID API
- Google Maps Lead Generation
- Google Maps Email Finder
- Pricing
- FAQ
Create a free account and receive free credits.
MIT License
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If this tool helped you, please consider:
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- 📧 Share with your network — Help others discover this tool
- 🐛 Report issues — Open an issue if you find a bug
- 📚 Contribute — PRs are welcome! See CONTRIBUTING.md
Check out all our scrapers:
Instagram · Google Maps · Amazon · TikTok · YouTube · LinkedIn · eBay · Reddit · Apify Alternative
Contributions are welcome! Here's how you can help:
- Fork the repository
- Create a feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'Add amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
Please read CONTRIBUTING.md for details on our code of conduct and development guidelines.