scrape data from Google Maps. Extracts data such as the name, address, phone number, website URL, rating, reviews number, latitude and longitude, reviews,email and more for each place
About
scrape data from Google Maps. Extracts data such as the name, address, phone number, website URL, rating, reviews number, latitude and longitude, reviews,email and more for each place
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“Unleash Google Maps Data: High-Performance Go Scraper for Comprehensive Location Intelligence.”
The Essence
google-maps-scraper is an advanced open-source Go library engineered for efficient and robust extraction of rich data from Google Maps. It serves as a programmatic gateway to valuable geospatial information, simplifying access for developers. This project provides a powerful, battle-tested solution for data acquisition.
Capabilities
It empowers developers to collect critical details such as business names, addresses, contact info, ratings, reviews, and precise coordinates directly from Google Maps. This data can fuel diverse applications, from market analysis and lead generation to custom navigation tools, significantly reducing manual effort and API dependency.
Replaces
This Go-powered scraper presents a compelling, free alternative to expensive commercial Google Maps APIs that come with strict rate limits and usage costs. It also offers a more performant and scalable solution compared to basic, single-threaded scraping scripts often built in Python or Node.js. For projects needing extensive, granular Google Maps data without continuous API expenditure, this tool fills a crucial gap.
Editor's Highlights
- High-performance Go-based scraping engine for speed and concurrency
- Extracts comprehensive place details: name, address, phone, website, rating, reviews
- Retrieves specific data points like latitude/longitude, full review texts, and emails
- Designed for distributed and large-scale data extraction with resilience
- MIT Licensed, ensuring free and flexible use in commercial and personal projects
How It Compares
| Alternative | Main Strength | Main Weakness |
|---|---|---|
| Apify Google Maps Scraper | Fully managed, cloud-based solution, high reliability, no infrastructure management required. | Expensive, vendor lock-in, less control over scraping logic and infrastructure, not open-source. |
| Python Scrapy with custom Google Maps spider | Highly flexible, extensive ecosystem, good for complex custom scraping logic and data processing. | Requires significant setup and maintenance for distributed scraping, potentially slower for high-throughput tasks without extensive optimization, steeper learning curve for Go developers. |
| Google Places API (official) | Official, reliable data source, compliant with Google's terms of service, robust error handling. | API rate limits and high costs for extensive data, often lacks specific data points available through scraping, can be cost-prohibitive for large-scale, deep data collection. |
