gosom/google-maps-scraper

scrape data from Google Maps. Extracts data such as the name, address, phone number, website URL, rating, reviews number, latitude and longitude,...

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Summary Information

Updated 47 minutes ago
Added to GitGenius on September 11th, 2026
Created on April 22nd, 2023
Open Issues & Pull Requests: 73 (+0)
GitHub issues: Enabled
Number of forks: 914
Total Stargazers: 5,799 (+0)
Total Subscribers: 33 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 41.5 hours
Mean response time: 16.2 days
90th percentile: 25.9 days
Tracked items: 121

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 95% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Only 9% of issues opened in the past year have been closed. Three people close 81% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 58
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 386 days
Stale 30+ days: 52
Stale 90+ days: 45

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • enhancement (5)
  • good first issue (3)
  • help wanted (3)
  • bug (2)

Most active issues this week

No issue events were indexed in the last 7 days.

Detailed Description

Google Maps Scraper is a web scraper that extracts business data from Google Maps at scale. It retrieves information including business names, addresses, phone numbers, website URLs, ratings, review counts, coordinates, reviews, and email addresses for locations matching a search query.

The tool solves the problem of gathering business intelligence and lead generation data from Google Maps without manual collection. It works by scraping Google Maps search results and place pages, offering multiple interfaces to suit different workflows: a command-line interface for direct extraction to CSV or JSON, a web UI for browser-based operation, a REST API for programmatic integration, and integration with AI coding agents like Claude Code where you describe the leads you want in plain language and the agent orchestrates the scrape. The project also supports a self-hosted multi-user platform for larger operations.

Developers should choose this tool if they need to extract business data from Google Maps for lead generation, local business research, sales prospecting, or data enrichment at scale. It suits projects ranging from one-off CLI queries to integrated automation within applications. The tool is free and open-source, with optional proxy support for larger scrapes and a self-hosted SaaS edition for multi-user scenarios. The README does not compare it to alternative scrapers.

Almost all open issues are raised by outside users rather than the core team, indicating a substantial base of adopters reporting real-world use. Maintainers typically respond to new issues and pull requests within a few days. Work in the issue tracker is dominated by enhancement and bug labels.