google-maps-scraper

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.

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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

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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

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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

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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.

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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.

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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.

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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)

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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.

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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 <results>.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-bbox guides where searches are launched from, but results are not strictly clipped to the box.
• For strict distance filtering, use -fast-mode with -geo + -radius (or post-filter by latitude/longitude).

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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 4 for a 4:1 page-to-browser ratio.
• Monitor CPU and RAM usage with htop or docker stats; browser resource use varies significantly by workload, Chromium version, and page count.
• If memory is the bottleneck, keep -browser-pool-size low and reduce -c or -pages-per-browser.
• If CPU is the bottleneck, reduce the total number of active pages by lowering -c or -pages-per-browser.
• The product -browser-pool-size × -pages-per-browser should roughly equal or exceed -c to keep all jobs busy.
• Setting an explicit -browser-pool-size is most useful in containerized environments (Docker, Kubernetes) where you want predictable resource usage.

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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:

./google-maps-scraper \
  -dsn "postgres://postgres:postgres@localhost:5432/postgres" \
  -produce \
  -input example-queries.txt \
  -lang en

3. Run scrapers (on multiple machines):

./google-maps-scraper \
  -c 2 \
  -depth 1 \
  -dsn "postgres://postgres:postgres@localhost:5432/postgres"

Kubernetes Deployment

apiVersion: apps/v1
kind: Deployment
metadata:
  name: google-maps-scraper
spec:
  replicas: 3  # Adjust based on needs
  selector:
    matchLabels:
      app: google-maps-scraper
  template:
    metadata:
      labels:
        app: google-maps-scraper
    spec:
      containers:
      - name: google-maps-scraper
        image: gosom/google-maps-scraper:latest
        args: ["-c", "1", "-depth", "10", "-dsn", "postgres://user:pass@host:5432/db"]
        resources:
          requests:
            memory: "512Mi"
            cpu: "500m"

Note: The headless browser requires significant CPU/memory resources.

Custom Writer Plugins

Create custom output handlers using Go plugins:

1. Write the plugin (see examples/plugins/example_writer.go)

2. Build:

go build -buildmode=plugin -tags=plugin -o myplugin.so myplugin.go

3. Run:

./google-maps-scraper -writer ~/plugins:MyWriter -input queries.txt

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Performance

Expected throughput: ~120 places/minute (with -c 8 -depth 1)

Keywords	Results/Keyword	Total Jobs	Estimated Time
100	16	1,600	~13 minutes
1,000	16	16,000	~2.5 hours
10,000	16	160,000	~22 hours

For large-scale scraping, use the PostgreSQL provider with Kubernetes.

Telemetry

Anonymous usage statistics are collected for improvement purposes. Opt out:

export DISABLE_TELEMETRY=1

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Support the Project

This project is free and open source. Stars, sponsorships, and sponsor referrals help fund maintenance.

• Star the repository: github.com/gosom/google-maps-scraper
• Sponsor development: GitHub Sponsors
• Need proxies? See Proxy Sponsors
• Deploying the self-hosted platform? See SaaS deployment options

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Community

Join our Discord to:

• Get help with setup and configuration
• Share your use cases and success stories
• Request features and report bugs
• Connect with other users

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Contributing

Contributions are welcome! Please:

1. Open an issue to discuss your idea
2. Fork the repository
3. Create a pull request

See AGENTS.md for development guidelines.

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References

• How to Extract Data from Google Maps Using Golang
• Distributed Google Maps Scraping
• Deploy your own Maps scraping API in 5 minutes (includes video walkthrough)
• Video walkthrough (YouTube)
• scrapemate - The underlying web crawling framework
• omkarcloud/google-maps-scraper - Inspiration for JS data extraction

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License

This project is licensed under the MIT License.

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Star History

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Legal Notice

Please use this scraper responsibly and in accordance with applicable laws and regulations. Unauthorized scraping may violate terms of service.

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_{SPONSOR DISCLAIMER: Sponsor listings and referral links do not constitute an endorsement. This project and its maintainers are not responsible for sponsors' products, services, representations, conduct, or any resulting loss or damage. Users engage with sponsors at their own risk.}