google-maps-scraper 0.1.1

Scrape Google Maps place details (rating, reviews, address, etc.) using Playwright — no API key needed

google-maps-scraper

Scrape Google Maps place details — rating, review count, address, phone, hours, coordinates, and more — without an API key.

Built with Playwright (Firefox) for reliable rendering and asyncio for high-throughput batch processing.

Features

• 🔍 Scrape place details from any Google Maps URL or search query
• ⭐ Extract 20+ fields — rating, review count, address, phone, website, hours, coordinates, category, and more
• 📝 Review scraping — extract individual user reviews with ratings and text
• 🚀 Async batch processing — configurable concurrency for scraping thousands of URLs
• 💾 Crash recovery — auto-save with resume support; pick up where you left off
• 🌍 Multi-language — supports any Google Maps locale (en, ja, zh-TW, ko, ...)
• 🔎 Smart search handling — auto-clicks the first search result when a query returns multiple matches
• 🤖 Headless-ready — runs perfectly in CI/CD and headless environments
• 📦 CLI + Python API — use from the command line or import as a library

Installation

pip install google-maps-scraper
playwright install firefox

Note: If running on a server without GUI, use playwright install firefox --with-deps to install browser dependencies.

Optional: Stealth Mode

For better anti-detection, install playwright-stealth:

pip install google-maps-scraper[stealth]

Quick Start

CLI

# Scrape a single place
gmaps-scraper scrape "https://www.google.com/maps/search/?api=1&query=Eiffel+Tower"

# Scrape with language setting
gmaps-scraper scrape "https://www.google.com/maps/search/?api=1&query=東京タワー" --lang ja

# Batch scrape from CSV
gmaps-scraper batch urls.csv -o results.json --concurrency 5

# Batch scrape to CSV
gmaps-scraper batch urls.csv -o results.csv --lang zh-TW --concurrency 3

Python API (Async)

import asyncio
from gmaps_scraper import GoogleMapsScraper, ScrapeConfig

async def main():
    config = ScrapeConfig(language="en", headless=True)
    async with GoogleMapsScraper(config) as scraper:
        result = await scraper.scrape(
            "https://www.google.com/maps/search/?api=1&query=Machu+Picchu"
        )
        if result.success:
            print(f"Name:    {result.place.name}")
            print(f"Rating:  {result.place.rating}")
            print(f"Reviews: {result.place.review_count}")
            print(f"Address: {result.place.address}")

asyncio.run(main())

Python API (Sync)

from gmaps_scraper import scrape_place

result = scrape_place("https://www.google.com/maps/search/?api=1&query=Colosseum")
print(result.place.name, result.place.rating)

Batch Processing

import asyncio
from gmaps_scraper import scrape_batch, ScrapeConfig

async def main():
    urls = open("urls.txt").read().splitlines()

    config = ScrapeConfig(
        concurrency=5,
        delay_min=1.0,
        delay_max=3.0,
        headless=True,
        save_interval=50,
    )

    results = await scrape_batch(
        urls=urls,
        config=config,
        output_path="results.json",
        resume=True,  # Skip already-scraped URLs on restart
    )

    success = sum(1 for r in results if r.success)
    print(f"Done: {success}/{len(results)} succeeded")

asyncio.run(main())

CLI Reference

gmaps-scraper scrape <url>

Scrape a single Google Maps URL and output JSON.

Option	Default	Description
--lang	—	Language code (e.g., en, ja, zh-TW)
--no-headless	—	Show the browser window (for debugging)
--reviews	—	Also scrape individual reviews
--max-reviews	20	Max reviews to extract
-v, --verbose	—	Enable debug logging

gmaps-scraper batch <input> -o <output>

Batch scrape URLs from a file. Output format is inferred from file extension (.json or .csv).

Option	Default	Description
-o, --output	required	Output file path (.json or .csv)
--concurrency	5	Parallel browser tabs
--lang	—	Language code
--proxy	—	Proxy server URL (e.g., http://proxy:8080)
--delay-min	2.0	Min delay between requests (seconds)
--delay-max	5.0	Max delay between requests (seconds)
--no-resume	—	Start fresh, don't resume from existing output
--reviews	—	Also scrape individual reviews
--max-reviews	20	Max reviews per place
--save-interval	50	Auto-save every N results

Input File Format

CSV — the scraper looks for a column named url, URL, or link:

url,name
https://www.google.com/maps/search/?api=1&query=Eiffel+Tower,Eiffel Tower
https://www.google.com/maps/search/?api=1&query=Colosseum,Colosseum

Text — one URL per line:

https://www.google.com/maps/search/?api=1&query=Eiffel+Tower
https://www.google.com/maps/search/?api=1&query=Colosseum

Output Format

JSON

[
  {
    "input_url": "https://www.google.com/maps/search/?api=1&query=Eiffel+Tower",
    "success": true,
    "place": {
      "name": "Eiffel Tower",
      "rating": 4.7,
      "review_count": 344856,
      "address": "Av. Gustave Eiffel, 75007 Paris, France",
      "phone": "[phone]",
      "website": "https://www.toureiffel.paris/",
      "category": "Historical landmark",
      "latitude": 48.8583701,
      "longitude": 2.2944813,
      "hours": ["Monday 09:30–23:45", "..."],
      "google_maps_url": "https://www.google.com/maps/place/...",
      "permanently_closed": false
    },
    "reviews": [],
    "scraped_at": "2025-03-06T12:00:00"
  }
]

CSV

Flat structure with all place fields as columns. Ideal for data analysis.

Extracted Fields

Field	Type	Description
name	str	Place name
rating	float	Star rating (1.0–5.0)
review_count	int	Total number of reviews
address	str	Full address
phone	str	Phone number
website	str	Website URL
category	str	Place category (e.g., "Restaurant")
hours	list[str]	Opening hours per day
latitude	float	Latitude coordinate
longitude	float	Longitude coordinate
plus_code	str	Google Plus Code
place_id	str	Google Maps Place ID
url	str	Canonical Google Maps URL
google_maps_url	str	Direct Google Maps link
price_level	str	Price level indicator
image_url	str	Main image URL
description	str	Place description
photos_count	int	Number of photos
permanently_closed	bool	Whether permanently closed
temporarily_closed	bool	Whether temporarily closed

Performance Guide

Concurrency	Est. Throughput	Time for 10K URLs	Notes
3	~1,200/hr	~8.3 hrs	Conservative, stable
5	~2,000/hr	~5.0 hrs	Default
10	~4,000/hr	~2.5 hrs	Recommended with proxy

Tips:

• Use --proxy with rotating proxies for higher concurrency
• The scraper auto-saves progress; if interrupted, just re-run and it will resume
• For large batches in CI (e.g., GitHub Actions with 6-hour limit), split into chunks

Development

git clone https://github.com/noworneverev/google-maps-scraper.git
cd google-maps-scraper
pip install -e ".[dev]"
playwright install firefox
pytest tests/ -v

⚠️ Disclaimer

This tool is provided for educational and research purposes only. By using this software, you acknowledge and agree that:

• Google Maps Terms of Service: Web scraping may violate Google Maps' Terms of Service. You are solely responsible for ensuring your use complies with all applicable terms, laws, and regulations.
• No Warranty: This software is provided "as is", without warranty of any kind. The authors are not responsible for any consequences arising from the use of this tool.
• Rate Limiting: Excessive or aggressive scraping may result in your IP being temporarily or permanently blocked by Google. Use appropriate delays and concurrency settings.
• Data Privacy: Respect the privacy of individuals whose reviews or information may be collected. Handle all scraped data in accordance with applicable privacy laws (e.g., GDPR, CCPA).
• Personal Responsibility: The user assumes all responsibility for how the tool is used and the data it collects.

The authors and contributors of this project do not endorse or encourage any misuse of this software.

License

MIT © Yan-Ying Liao