Google Maps Scraper — Places, Reviews & Contact Data

Scrape Google Maps business listings for a flat $3 per 1,000 places with no API key. Type a search like dentists in London, get back names, addresses, phone numbers, websites, ratings, review counts, top reviews, GPS coordinates and open status as clean JSON, CSV or Excel.

Built for lead generation, local SEO and AI agents: pay per place, run it from the Apify API, the Python and JavaScript clients, or directly from Claude, Cursor and other agents through MCP.

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Who uses this Google Maps scraper?

• Lead generation and sales teams building lists of local businesses with phone numbers and websites
• Local SEO and marketing agencies auditing client listings, ratings and competitor density
• Market researchers mapping how many restaurants, gyms or clinics exist in a city or district
• Real estate and travel platforms enriching listings with nearby amenities and attractions
• Data and AI teams feeding Google Maps data into CRMs, dashboards, RAG pipelines and agents
• Reputation teams tracking what customers say in reviews across locations

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What data do you get from Google Maps?

Each result is one place. Fields follow the dataset schema exactly, so you can rely on them in code.

Field	Description
title	Business name
category	Primary business category (e.g. "Coffee shop")
place_id	URL-encoded place name from Google Maps
cid	Google's internal numeric place identifier
link	Direct Google Maps URL for the place
address	Full street address
latitude / longitude	GPS coordinates
plus_code	Google Plus Code (open location code)
timezone	IANA timezone (e.g. America/New_York)
phone	Business phone number
website	Business website URL
review_rating	Average Google rating (1.0 to 5.0)
review_count	Total number of Google reviews
status	Current open/closed status with hours (e.g. "Open · Closes 9 PM")
description	Business description or editorial summary
price_range	Price indicator ($, $$, $$$)
thumbnail	URL of the main place photo
reviews	Top 10 reviews with reviewer name, rating, date and text (only when scrapeReviews is on)
search_query	The query that found this place
scraped_at	ISO timestamp of the scrape

Fields that Google does not publish for a given place (for example phone or price_range) are returned empty or omitted rather than guessed.

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How do I run it? Input options explained

Only query is required. Everything else has a sensible default.

Input	Default	What it does
query	required	The Google Maps search, e.g. plumbers in Austin Texas
maxResults	20	Maximum places to return (1 to 500). Google Maps shows roughly 120 results per search, so split large areas into several queries
concurrency	5	Places scraped in parallel (1 to 10). Above 10 Google starts rate limiting
scrapeReviews	false	Also collect the top 10 reviews per place. Adds about 3 seconds per place
proxyConfiguration	Apify residential	Proxy settings. Residential proxies give the best success rate against Google's bot detection

Find restaurants in a city

{
    "query": "restaurants in New York",
    "maxResults": 50
}

Lead generation for local businesses

{
    "query": "plumbers in Austin Texas",
    "maxResults": 100,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
}

Scrape reviews too

{
    "query": "coffee shops in London",
    "maxResults": 20,
    "scrapeReviews": true
}

Tip: to cover a whole city, run one query per neighbourhood or postcode (cafes in Brooklyn, cafes in Queens) instead of one giant query. Google caps each search at around 120 places.

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How much does it cost to scrape 1,000 Google Maps places?

Pricing is pay per event. You are only charged for places that were actually scraped.

Event	Price
Place scraped	$0.003 per place
Actor start	$0.00005 per GB of memory (one-time per run)

Worked example: a run with maxResults: 1000 that returns 1,000 places costs 1,000 × $0.003 = $3.00, plus a one-time start fee of about $0.0002 at the default 4 GB memory. Scraping 10,000 places across ten queries costs about $30. A quick 20-place test costs $0.06.

Because this Actor uses pay-per-event pricing, compute time and proxy traffic are covered by the per-place price. You do not pay separate platform usage for it. Set a spending limit on the run if you want a hard cap.

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Sample output

One dataset item per place. Reviews appear only when scrapeReviews is enabled.

{
    "title": "Joe's Coffee",
    "category": "Coffee shop",
    "place_id": "Joe's+Coffee",
    "cid": "12345678901234567",
    "link": "https://www.google.com/maps/place/...",
    "address": "123 Main St, New York, NY 10001, United States",
    "latitude": 40.7128,
    "longitude": -74.006,
    "plus_code": "Q257+V3 New York, USA",
    "timezone": "America/New_York",
    "phone": "+1 212-555-0100",
    "website": "https://www.joescoffee.com",
    "review_count": 843,
    "review_rating": 4.5,
    "status": "Open · Closes 9 PM",
    "description": "Cozy neighborhood cafe serving specialty espresso drinks.",
    "price_range": "$$",
    "thumbnail": "https://lh3.googleusercontent.com/...",
    "reviews": [
        {
            "name": "Maria K.",
            "rating": 5,
            "description": "Best flat white in the neighbourhood.",
            "date": "2 weeks ago"
        }
    ],
    "search_query": "coffee shops in New York",
    "scraped_at": "2026-04-08T12:00:00Z"
}

Download the dataset as JSON, CSV, Excel, XML or RSS from the run page or the API.

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Use with AI agents and MCP

This Actor is exposed as an MCP tool, so Claude, Cursor, Windsurf, ChatGPT and any MCP-capable agent can search Google Maps and receive structured places without writing scraper code.

• MCP server URL: https://mcp.apify.com/?tools=fetch-actor-details,openclawai/google-maps-scraper
• Step-by-step agent guide: datapika.com/actors/google-maps-scraper

Typical agent prompts: "find 50 dental clinics in Manchester with phone numbers", "compare ratings of gyms near Union Square", "list hotels in Lisbon with more than 500 reviews".

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Integrations: API, Python, JavaScript and automation

• REST API: start a run with POST https://api.apify.com/v2/acts/openclawai~google-maps-scraper/runs?token=YOUR_TOKEN and read results from the run's default dataset.
• Python: pip install apify-client, then call client.actor("openclawai/google-maps-scraper").call(run_input={...}).
• JavaScript / Node.js: npm install apify-client, then client.actor("openclawai/google-maps-scraper").call({...}).
• No-code: connect through Apify's Zapier, Make, n8n, Google Sheets and webhook integrations.
• Scheduling: run it daily or weekly from the Apify Console to monitor ratings and new competitors.

Full code samples for every language are generated in the API tab of this page.

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FAQ

Does Google Maps have an official API, and why not use it?

Yes, the Google Places API exists, but it requires a Google Cloud project, an API key, billing setup, and it returns at most 20 results per request with limited review data. This scraper needs no API key, returns up to 500 places per query, and costs a flat $3 per 1,000 places.

Can I use the Google Maps scraper API to get phone numbers and emails?

Phone numbers and websites are returned for every place that publishes them. Email addresses are not shown on Google Maps, so they are not included. Pair the website field with an email-finder tool if you need emails.

How many results can I scrape per query?

Google Maps returns roughly 120 places for a single search. maxResults accepts up to 500, but to reach that you should run several narrower queries (by neighbourhood, postcode or category) and combine the datasets.

How fast is it?

With the default concurrency of 5 and residential proxies, a 100-place run typically finishes in a few minutes. Enabling scrapeReviews adds about 3 seconds per place. Raising concurrency speeds things up, but values above 10 trigger Google's rate limiting.

Do I need proxies?

Google Maps has aggressive bot detection, so the Actor defaults to Apify residential proxies. Keep that default for anything beyond a small test. Use a country-specific proxy session to get localized results for that country.

What output formats are supported?

JSON, CSV, Excel, XML, HTML table and RSS, all from the same dataset. Three ready-made views are available: Overview, Contacts, and Full Data.

Is scraping Google Maps legal?

The scraper only collects publicly visible business information. Business names, addresses and phone numbers are generally not personal data, but reviews contain reviewer names, so store and process them in line with GDPR, CCPA and your local laws, and respect Google's terms for your use case. This Actor does not log into any account and does not bypass access controls.

What happens when Google blocks a request?

Blocked or failed places are skipped and not charged. If a run returns fewer places than expected, retry with residential proxies, a lower concurrency, or a more specific query.

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Legal and ethical use

Use this data responsibly. Do not use it for spam, harassment, or any purpose that violates applicable law or Google's terms of service. You are responsible for how you use the collected data.