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, reviews,email and more for each place
About gosom/google-maps-scraper
gosom/google-maps-scraper is an open-source project on GitHub, mainly written in Go. scrape data from Google Maps. Extracts data such as the name, address, phone number, website URL, rating, reviews number, latitude and longitude It currently holds 7,826 stars and 1,221 forks with 66 open issues, and was last pushed on 2026-11-08 (repository created 2023-04-22).
Project Overview
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GitHub Repository Details
README
Google Maps Scraper
Extract Google Maps business leads, emails, reviews, phone numbers, websites, ratings, coordinates, and more with a free open-source CLI, Web UI, REST API, and optional self-hosted platform.
Use it for lead generation, local business research, sales prospecting, data enrichment, or developer automation.
Ask an AI Agent to Get Leads
The easiest way to use Google Maps Scraper is with an AI coding agent such as Claude Code, Codex, Cursor, GitHub Copilot, or any Agent Skills-compatible tool. You describe the leads you want; the agent plans the searches, runs a small validation, starts the full local scrape, monitors it, and helps you work with the results.
Install the skill:
npx skills add gosom/google-maps-scraper
Then ask your agent in plain language:
Find dentists in Berlin and include their websites and email addresses.
The agent automatically checks for the latest skill and Docker image, then asks only for details it still needs. For larger crawls, you can provide your own proxy, continue without one, or review three randomly selected proxy sponsors. Proxy credentials are entered through a masked local terminal prompt and are never pasted into the agent chat.
Requires Docker and Node.js on macOS, Linux, or Windows through WSL. See how the agent workflow works.
| Goal | Start here | |---|---| | Get leads into CSV/JSON | Command Line | | Ask an AI coding agent to run a scrape | AI Agent Skill | | Run a browser UI locally | Web UI | | Automate scraping from your app | REST API | | Run a multi-user scraping platform | SaaS Edition | | Follow common workflows | Recipes |
If this project is useful to you, a GitHub star helps others discover it. Sponsorships help fund maintenance and new work.
---
Sponsored By
These sponsors help support development and maintenance of Google Maps Scraper.
|
Coreclaw |
Evomi |
G Maps Extractor |
|
HasData |
NodeMaven |
RapidProxy |
|
Scrap.io |
SearchApi |
SerpApi |
|
TalorData |
Webshare |
Become a sponsor |
View all sponsors and offers · Become a sponsor
---
Why Use This Scraper?
| | | |---|---| | Completely Free & Open Source | MIT licensed, no hidden costs or usage limits | | Multiple Interfaces | CLI, Web UI, REST API - use what fits your workflow | | High Performance | ~120 places/minute with optimized concurrency | | 33+ Data Points | Business details, reviews, emails, coordinates, and more | | Production Ready | Scale from a single machine to Kubernetes clusters | | Flexible Output | CSV, JSON, PostgreSQL, S3, or custom plugins | | Proxy Support | Built-in SOCKS5/HTTP/HTTPS proxy rotation |
---
Table of Contents
- Quick Start
- Command Line
- Web UI
- REST API
- SaaS Edition
- AI Agent Skill
- Recipes
- Proxy Sponsors
- Installation
- Features
- Extracted Data Points
- Configuration
- Command Line Options
- Using Proxies
- Email Extraction
- Fast Mode
- Advanced Usage
- PostgreSQL Database Provider
- Kubernetes Deployment
- Custom Writer Plugins
- Performance
- Support the Project
- Community
- Contributing
- License
Quick Start
Command Line
mkdir -p gmaps-output
docker run \
-v gmaps-playwright-cache:/opt \
-v "$PWD/example-queries.txt:/queries.txt:ro" \
-v "$PWD/gmaps-output:/out" \
gosom/google-maps-scraper \
-input /queries.txt \
-results /out/results.csv \
-depth 1 \
-exit-on-inactivity 3m
Useful options:
| Need | Flag |
|---|---|
| Extract emails from business websites | -email |
| Write JSON instead of CSV | -json -results /out/results.json |
| Collect extra reviews | -extra-reviews -json -results /out/results.json |
| Resume an interrupted file scrape | -resume -results /out/results.csv |
| Increase concurrency | -c 4, -c 8, or -c 16 |
| Run multiple pages per browser | -pages-per-browser 4 |
| Limit browser processes | -browser-pool-size 2 |
| Use proxies | -proxies "http://user:pass@host:port,socks5://host:port" |
| Read proxies from a credentials file | -proxies-file /path/to/proxies.txt |
-c controls how many scrape jobs run in parallel. Higher concurrency can finish large input files faster, but it also uses more CPU/RAM and can increase blocking or failures, especially without proxies. Start with the default for a first run. For larger jobs on a capable machine, try -c 4, -c 8, or -c 16 and measure the result.
Web UI
Start the web interface with a single command:
mkdir -p gmapsdata
docker run \
-v "$PWD/gmapsdata:/gmapsdata" \
-p 8080:8080 \
gosom/google-maps-scraper \
-data-folder /gmapsdata
Then open http://localhost:8080 in your browser.
Or download the binary release for your platform.
Note: Results take at least 3 minutes to appear (minimum configured runtime).
macOS Users: Docker command may not work. See MacOS Instructions.
REST API
When running the web server, a full REST API is available:
| Endpoint | Method | Description |
|----------|--------|-------------|
| /api/v1/jobs | POST | Create a new scraping job |
| /api/v1/jobs | GET | List all jobs |
| /api/v1/jobs/{id} | GET | Get job details |
| /api/v1/jobs/{id} | DELETE | Delete a job |
| /api/v1/jobs/{id}/download | GET | Download results as CSV |
Full OpenAPI 3.0.3 documentation available at http://localhost:8080/api/docs
SaaS Edition
Need a multi-user platform with API keys, admin UI, job queue, workers, and cloud provisioning? Use the optional self-hosted SaaS edition:
curl -fsSL https://raw.githubusercontent.com/gosom/google-maps-scraper/main/PROVISION | sh
See SaaS documentation for deployment and operations details. There is also a 5-minute deployment walkthrough and a YouTube video walkthrough.
More examples are available in Recipes. If you need proxies for larger jobs, see Proxy Sponsors.
---
AI Agent Skill
The AI Agent Skill turns a natural-language lead request into a guided local scraping workflow. It is designed for nontechnical users as well as developers and keeps you in control of the search scope, proxy choice, and output.
If you have not installed it yet:
npx skills add gosom/google-maps-scraper
Then just ask your agent:
Find me all dentists in Berlin with their emails
The agent will:
1. Noninteractively check for the latest skill and Docker image. 2. Infer sensible search defaults and ask only for missing essentials. 3. Let you use your own proxy, continue without one, or choose from three randomly selected proxy sponsors. 4. Collect proxy credentials through a masked local terminal prompt instead of chat. 5. Run a small validation scrape before the full job. 6. Start and monitor the Docker crawl in the background. 7. Present the results with options to save, filter, analyze, or export.
Proxy sponsor recommendations are clearly disclosed and shown with equal placement. Any discount or offer is displayed only when it is configured in the skill's active sponsor registry. You can always use another provider or no proxy.
Requires Docker and Node.js on macOS, Linux, or Windows through WSL. See the skill definition for details.
---
Installation
Using Docker (Recommended)
The published Docker image uses Playwright:
docker pull gosom/google-maps-scraper
Build from Source
Requirements: Go 1.27.3+
git clone https://github.com/gosom/google-maps-scraper.git
cd google-maps-scraper
go mod download
go build
./google-maps-scraper -input example-queries.txt -results results.csv -exit-on-inactivity 3m
First run downloads required browser libraries for Playwright.
---
Features
| Feature | Description | |---------|-------------| | 33+ Data Points | Business name, address, phone, website, reviews, coordinates, and more | | Email Extraction | Optional crawling of business websites for email addresses | | Multiple Output Formats | CSV, JSON, PostgreSQL, S3, or custom plugins | | Proxy Support | SOCKS5, HTTP, HTTPS with authentication | | Scalable Architecture | Single machine to Kubernetes cluster | | REST API | Programmatic control for automation | | Web UI | User-friendly browser interface | | Fast Mode (Beta) | Quick extraction of up to 21 results per query | | AWS Lambda | Serverless execution support (experimental) |
---
Extracted Data Points
Click to expand all 36 data points
| # | Field | Description |
|---|-------|-------------|
| 1 | input_id | Internal identifier for the input query |
| 2 | link | Direct URL to the Google Maps listing |
| 3 | title | Business name |
| 4 | category | Business type (e.g., Restaurant, Hotel) |
| 5 | address | Street address |
| 6 | open_hours | Operating hours |
| 7 | popular_times | Visitor traffic patterns |
| 8 | website | Official business website |
| 9 | phone | Contact phone number |
| 10 | plus_code | Location shortcode |
| 11 | review_count | Total number of reviews |
| 12 | review_rating | Average star rating |
| 13 | reviews_per_rating | Breakdown by star rating |
| 14 | latitude | GPS latitude |
| 15 | longitude | GPS longitude |
| 16 | cid | Google's unique Customer ID |
| 17 | status | Business status (open/closed/temporary) |
| 18 | descriptions | Business description |
| 19 | reviews_link | Direct link to reviews |
| 20 | thumbnail | Thumbnail image URL |
| 21 | timezone | Business timezone |
| 22 | price_range | Price level ($, $$, $$$) |
| 23 | data_id | Internal Google Maps identifier |
| 24 | street_view_url | Street View URL |
| 25 | place_id | Google's unique place id |
| 26 | images | Associated image URLs |
| 27 | reservations | Reservation booking link |
| 28 | order_online | Online ordering link |
| 29 | menu | Menu link |
| 30 | owner | Owner-claimed status |
| 31 | complete_address | Full formatted address |
| 32 | credit_cards_accepted | Accepted credit card networks |
| 33 | about | Additional business info |
| 34 | user_reviews | Customer reviews (text, rating, timestamp) |
| 35 | user_reviews_extended | Extended reviews up to ~300 (requires -extra-reviews) |
| 36 | emails | Extracted email addresses (requires -email flag) |
Custom Input IDs: Define your own IDs in the input file:
Matsuhisa Athens #!#MyCustomID
Direct Google Maps URLs: Input lines can be regular search queries or direct Google Maps URLs. Supported URL formats include:
https://www.google.com/maps/search/pizza
https://www.google.com/maps/place/Empire+State+Building/@40.7484405,-73.9856632
https://maps.google.com/maps?z=16&q=Empire+State+Building
maps.app.goo.gl/abc123
URLs on google.com subdomains must include a scheme (http:// or https://) and a /maps path. Short maps.app.goo.gl links are also supported without a scheme.
---
Configuration
Command Line Options
Usage: google-maps-scraper [options]
Core Options:
-input string Path to input file with queries (one per line)
-results string Output file path (default: stdout)
-json Output JSON instead of CSV
-resume Resume a CLI file scrape by appending missing places
-depth int Max scroll depth in results (default: 10)
-c int Concurrency level (default: half of CPU cores)
Email & Reviews:
-email Extract emails from business websites
-extra-reviews Collect extended reviews (up to ~300)
Location Settings:
-lang string Language code, e.g., 'de' for German (default: "en")
-geo string Coordinates for search, e.g., '37.7749,-122.4194'
-zoom int Zoom level 0-21 (default: 15)
-radius float Search radius in meters (default: 10000)
-grid-bbox string Bounding box for grid scraping, format: "minLat,minLon,maxLat,maxLon"
-grid-cell float Grid cell size in km (default: 1.0, used with -grid-bbox)
Web Server:
-web Run web server mode
-addr string Server address (default: ":8080")
-data-folder Data folder for web runner (default: "webdata")
Database:
-dsn string PostgreSQL connection string
-produce Produce seed jobs only (requires -dsn)
Proxy:
-proxies string Comma-separated proxy list
Format: protocol://user:pass@host:port
-proxies-file Path to a file containing one proxy URL per line
Export:
Advanced:
-exit-on-inactivity duration Exit after inactivity (e.g., '5m')
-fast-mode Quick mode with reduced data
-debug Show browser window
-writer string Custom writer plugin (format: 'dir:pluginName')
-browser-pool-size int Number of browser processes to launch (default: 0, derived from -c and -pages-per-browser)
-pages-per-browser int Max concurrent pages per browser process (default: 1)
Notes:
-grid-bbox requires a valid zoom level (1-21)
-fast-mode cannot be used together with -grid-bbox
Run ./google-maps-scraper -h for the complete list.
Resuming Interrupted CLI Runs
Use -resume to continue a CLI file scrape after a crash or manual stop:
./google-maps-scraper \
-resume \
-input queries.txt \
-results results.csv \
-depth 10
Resume mode reads the existing CSV or JSONL results file, appends new results, and skips places that were already written. It also writes completed input queries to .resume.json; future resume runs use that sidecar file to skip fully completed queries.
-resume is only supported with regular file output. It requires -results to be a file path and does not support stdout, -writer, or -fast-mode. Resume runs should use the same input and scrape options as the original run.
Using Proxies
For larger scraping jobs, proxies help avoid rate limiting. Here's how to configure them:
./google-maps-scraper \
-input queries.txt \
-results results.csv \
-proxies 'socks5://user:pass@host:port,http://host2:port2' \
-depth 1 -c 2
Supported protocols: socks5, socks5h, http, https
Current proxy sponsors are listed in Proxy Sponsors. Using those links helps fund project maintenance.
Email Extraction
Email extraction is disabled by default. When enabled, the scraper visits each business website to find email addresses.
./google-maps-scraper -input queries.txt -results results.csv -email
Note: Email extraction increases processing time significantly.
Fast Mode
Fast mode returns up to 21 results per query, ordered by distance. Useful for quick data collection with basic fields.
./google-maps-scraper \
-input queries.txt \
-results results.csv \
-fast-mode \
-zoom 15 \
-radius 5000 \
-geo '37.7749,-122.4194'
Warning: Fast mode is in Beta. You may experience blocking.
Grid Scraping (BBox)
Grid mode splits a bounding box into cells and runs one search per cell. This is useful when a single search does not return enough places.
queries.txt example:
cafes in Peristeri, Greece
Command example:
./google-maps-scraper \
-input queries.txt \
-results peristeri-cafes.csv \
-grid-bbox "38.0077,23.6719,38.0257,23.6947" \
-grid-cell 0.5 \
-zoom 16 \
-depth 1 \
-c 4
Notes:
-grid-bboxguides where searches are launched from, but results are not strictly clipped to the box.- For strict distance filtering, use
-fast-modewith-geo+-radius(or post-filter by latitude/longitude).
Browser Page Concurrency
With the default -pages-per-browser 1, each concurrent job (-c) effectively uses its own browser process with a single page tab. This can be inefficient because browser pages can be CPU- and memory-heavy, and each browser process adds overhead.
The -pages-per-browser flag lets you run multiple page tabs inside the same browser process, reducing overhead. Leave -browser-pool-size at 0 to derive the browser count from concurrency and pages per browser, or set it explicitly to cap the number of browser processes independently of concurrency.
How the flags interact:
| Flag | What it controls |
|------|------------------|
| -c | Total number of concurrent scrape jobs |
| -browser-pool-size | Number of browser processes to launch (default: 0, derived from -c and -pages-per-browser) |
| -pages-per-browser | Number of page tabs per browser process (default: 1) |
When -pages-per-browser is greater than 1, the scraper opens multiple tabs within each browser process and routes jobs through a shared page pool. This can significantly increase job throughput on the same hardware.
Example — 8 concurrent jobs across 2 browsers with 4 tabs each:
./google-maps-scraper \
-c 8 \
-browser-pool-size 2 \
-pages-per-browser 4 \
-input queries.txt \
-results results.csv \
-depth 1
Tuning guidance:
- Start with
-c 4 -browser-pool-size 1 -pages-per-browser 4for a 4:1 page-to-browser ratio. - Monitor CPU and RAM usage with
htopordocker stats; browser resource use varies significantly by workload, Chromium version, and page count. - If memory is the bottleneck, keep
-browser-pool-sizelow and reduce-cor-pages-per-browser. - If CPU is the bottleneck, reduce the total number of active pages by lowering
-cor-pages-per-browser. - The product
-browser-pool-size × -pages-per-browsershould roughly equal or exceed-cto keep all jobs busy. - Setting an explicit
-browser-pool-sizeis most useful in containerized environments (Docker, Kubernetes) where you want predictable resource usage.
Advanced Usage
PostgreSQL Database Provider
For distributed scraping across multiple machines:
1. Start PostgreSQL:
docker-compose -f docker-compose.dev.yaml up -d
2. Seed the jobs: ```bash ./google-maps-scraper \ -dsn "postgres://postgres:postgres@lo