Google Maps Scraper -- Extract Business Data from Any Location on Earth

Scrape Google Maps search results worldwide. Get business names, addresses, phone numbers, websites, reviews, ratings, opening hours, GPS coordinates, and 30+ structured fields per place. Fast, reliable, and priced per result.

Why this scraper

• All-inclusive pricing -- 30+ fields per place at one flat rate. No extra charges for reviews, photos, hours, or address parsing.
• Extremely fast -- Returns results in seconds, not minutes.
• Volume-friendly pricing -- $1.00 per 1,000 places.
• Built-in enrichment -- optionally trigger AI-powered contact extraction or job listing extraction on every website found.
• Your LLM, your choice -- Gemini (recommended, free tier available), Groq, or OpenRouter with automatic fallback between providers.
• Works worldwide -- any country, any language. Pass an ISO language code and get localized results.

Use with AI Agents (MCP)

Connect this actor to any MCP-compatible AI client — Claude Desktop, Claude.ai, Cursor, VS Code, LangChain, LlamaIndex, or custom agents.

Apify MCP server URL:

https://mcp.apify.com?tools=santamaria-automations/google-maps-scraper

Example prompt once connected:

"Use google-maps-scraper to process data with google maps. Return results as a table."

Clients that support dynamic tool discovery (Claude.ai, VS Code) will receive the full input schema automatically via add-actor.

Quick start

Simple search

Pass plain search strings. Include the location in the string itself:

{
  "searchStrings": [
    "restaurants in Paris",
    "coffee shops in Tokyo",
    "dentists in New York"
  ],
  "maxResults": 20
}

Structured queries

For programmatic use with company IDs, location filtering, and country codes:

{
  "queries": [
    {
      "query": "software companies",
      "location": "Berlin",
      "country": "DE",
      "company_id": "my-internal-id-123"
    },
    {
      "query": "plumbers",
      "location": "London",
      "country": "GB"
    }
  ],
  "maxResults": 50,
  "language": "en"
}

With contact extraction

Find businesses and automatically extract team contacts from their websites:

{
  "searchStrings": ["IT companies in Munich"],
  "maxResults": 20,
  "enableContactExtraction": true,
  "geminiApiKey": "your-gemini-api-key"
}

With job listing extraction

Find businesses and automatically extract open positions from their career pages:

{
  "searchStrings": ["software companies in Berlin"],
  "maxResults": 20,
  "enableJobExtraction": true,
  "geminiApiKey": "your-gemini-api-key"
}

Input parameters

Parameter	Type	Default	Description
searchStrings	string[]	[]	Simple search strings. Include location in the string for geo-targeting.
queries	object[]	[]	Structured queries with optional query, location, country, company_id.
maxResults	integer	20	Results per query. Max ~120 (Google Maps limit).
language	string	"en"	ISO 639-1 language code (en, de, fr, ja, es, pt, it, ko, zh, ar, etc.).
enableContactExtraction	boolean	false	After scraping, extract contacts from company websites via AI.
enableJobExtraction	boolean	false	After scraping, extract job listings from career pages via AI.
enableBrowserFallback	boolean	false	Re-scrape JS-rendered sites (React, Vue, Angular) with a full browser. Catches ~25% more sites.
outputLanguage	string	"en"	Language for AI-extracted fields (en/de/fr/it/es/pt/nl/auto).
geminiApiKey	string	--	Gemini API key. Recommended for add-ons. Free tier: 1M tokens/min.
groqApiKey	string	--	Groq API key. Ultra-fast inference. Optional fallback.
openrouterApiKey	string	--	OpenRouter API key. Access 100+ models. Optional fallback.
excludeCids	string[]	[]	Google CIDs to skip. Useful for excluding already-scraped places.
maxConcurrency	integer	10	Parallel requests (1-20).
requestDelay	integer	300	Delay between pagination requests in milliseconds (100-10,000).
proxyConfiguration	object	Apify proxy	Proxy settings. Datacenter proxies work well.

Use either searchStrings or queries (or both). With searchStrings, each string is sent directly to Google Maps. With queries, you can separate the search term from the location and attach your own company_id for linking results back to your data.

Output

Each result contains 30+ fields. Here is an example:

{
  "company_id": "restaurants in Paris",
  "title": "Le Petit Cler",
  "category": "French restaurant",
  "categories": ["French restaurant", "Restaurant"],
  "address": "3 Rue Cler, 75007 Paris, France",
  "complete_address": {
    "street": "3 Rue Cler",
    "city": "Paris",
    "postal_code": "75007",
    "state": "Ile-de-France",
    "country": "France"
  },
  "latitude": 48.8571,
  "longitude": 2.3007,
  "plus_code": "8FW4V87C+X3",
  "timezone": "Europe/Paris",
  "phone": "+33 1 45 51 24 52",
  "website": "https://www.lepetitcler.com/",
  "emails": [],
  "review_rating": 4.5,
  "review_count": 1823,
  "reviews_per_rating": { "1": 42, "2": 31, "3": 89, "4": 312, "5": 1349 },
  "reviews_link": "https://search.google.com/local/reviews?placeid=...",
  "user_reviews": [
    {
      "name": "Marie Dupont",
      "rating": 5,
      "text": "Excellent cuisine, warm atmosphere...",
      "published_at": "2 months ago"
    }
  ],
  "status": "OPERATIONAL",
  "price_range": "$$",
  "open_hours": {
    "Monday": ["12:00-14:30", "19:00-22:30"],
    "Tuesday": ["12:00-14:30", "19:00-22:30"],
    "Wednesday": ["12:00-14:30", "19:00-22:30"],
    "Thursday": ["12:00-14:30", "19:00-22:30"],
    "Friday": ["12:00-14:30", "19:00-23:00"],
    "Saturday": ["12:00-23:00"],
    "Sunday": []
  },
  "thumbnail": "https://lh3.googleusercontent.com/places/...",
  "images": [
    { "title": "Interior", "image": "https://lh3.googleusercontent.com/..." }
  ],
  "owner": { "name": "Le Petit Cler", "link": "https://maps.google.com/..." },
  "about": [
    { "id": "dine_in", "name": "Dine-in" },
    { "id": "reservations", "name": "Reservations" }
  ],
  "reservations": [
    { "link": "https://www.thefork.com/...", "source": "TheFork" }
  ],
  "order_online": [],
  "menu": { "link": "https://www.lepetitcler.com/menu", "source": "lepetitcler.com" },
  "description": "Cozy French bistro in the heart of the 7th arrondissement.",
  "link": "https://www.google.com/maps/place/Le+Petit+Cler/...",
  "cid": "12345678901234567",
  "data_id": "0x47e671a4e...",
  "searchString": "restaurants in Paris",
  "_rank": 1,
  "scraped_at": "2026-03-05T10:30:00.000Z"
}

Complete field reference

Field	Type	Description
company_id	string	Your reference ID (from queries) or the search string
title	string	Business name
category	string	Primary Google Maps category
categories	string[]	All assigned categories
address	string	Full formatted address
complete_address	object	Parsed components: street, city, postal_code, state, country
latitude	number	GPS latitude
longitude	number	GPS longitude
plus_code	string	Google Plus Code
timezone	string	IANA timezone identifier
phone	string	Phone number
website	string	Website URL
emails	string[]	Email addresses found on the listing
open_hours	object	Opening hours grouped by day of week
popular_times	object	Visitor traffic patterns by hour and day
price_range	string	Price level ($ to $$$$)
status	string	OPERATIONAL, CLOSED_TEMPORARILY, or CLOSED_PERMANENTLY
review_count	integer	Total number of reviews
review_rating	number	Average rating (1.0 to 5.0)
reviews_per_rating	object	Breakdown of reviews by star rating (1 through 5)
reviews_link	string	Direct URL to all reviews
user_reviews	array	Sample reviews with name, rating, text, date, owner response
thumbnail	string	Main business photo URL
images	array	Additional photos with titles
reservations	array	Reservation links with source (TheFork, OpenTable, etc.)
order_online	array	Online ordering links with source
menu	object	Menu link and source
owner	object	Business owner name and profile link
about	array	Amenities and features (dine-in, Wi-Fi, wheelchair access, etc.)
description	string	Business description from Google
link	string	Full Google Maps URL for this place
cid	string	Google Maps CID -- stable identifier that persists across name/address changes
data_id	string	Google internal data ID
searchString	string	The search query that produced this result
_rank	integer	Position in search results (1-based)
scraped_at	string	ISO 8601 timestamp

Enrichment add-ons

After the Maps scrape completes, this actor can automatically trigger AI-powered extraction on every website found in the results. Each add-on runs as a separate actor and produces its own dataset.

Contact extraction

Extracts team member names, email addresses, phone numbers, positions, and departments from company websites. Powered by the Website Contact Extractor.

Enable it by setting enableContactExtraction: true and providing at least one LLM API key. The sub-actor run ID is stored in the key-value store as CONTACT_EXTRACTOR_RUN_ID.

Job listing extraction

Extracts open positions, job titles, locations, departments, and career page URLs from company websites. Powered by the Website Job Extractor.

Enable it by setting enableJobExtraction: true and providing at least one LLM API key. The sub-actor run ID is stored in the key-value store as JOB_EXTRACTOR_RUN_ID.

Browser fallback

Some company websites are built with JavaScript frameworks (React, Vue, Angular) that require a full browser to render. When enableBrowserFallback is set to true, the contact/job extractors will automatically re-scrape these sites with a real browser. This catches ~25% more sites but increases cost and runtime. Only applies when contact or job extraction is enabled.

LLM API keys

Both add-ons use LLMs to extract structured data. Provide one or more API keys. When multiple keys are provided, the system uses them in priority order with automatic fallback:

1. Gemini (recommended) -- Best quality-to-cost ratio. Free tier includes 1M tokens/min. Get a key at Google AI Studio.
2. Groq (optional) -- Ultra-fast inference. Get a key at Groq Console.
3. OpenRouter (optional) -- Access to 100+ models. Get a key at OpenRouter.

One key is sufficient. With multiple keys, if the primary provider hits a rate limit, the system falls back to the next available provider automatically.

Use cases

• Lead generation -- Search for businesses by type and location. Get phone numbers, websites, and emails in one run.
• Market research -- Map competitors in a geographic area with ratings, review counts, and price ranges.
• Company enrichment -- Add addresses, phone numbers, GPS coordinates, and opening hours to your existing database.
• Local SEO monitoring -- Track your business listing and competitor rankings across locations.
• Real estate analysis -- Find nearby amenities, restaurants, and services for property listings.
• Hiring intelligence -- Discover companies in a region and extract their open positions in a single pipeline.
• Review analysis -- Collect review ratings and sample reviews across competitors for sentiment analysis.

Excluding already-scraped places

Use the excludeCids parameter to skip places you have already scraped. The CID (Customer ID) is a stable Google Maps identifier that does not change even if the business changes its name or address.

{
  "searchStrings": ["cafes in Zurich"],
  "maxResults": 100,
  "excludeCids": ["12345678901234567", "98765432109876543"]
}

This is useful for incremental scraping workflows where you want to collect only new results.

Supported languages

Pass any ISO 639-1 language code: en, de, fr, ja, es, pt, it, ko, zh-CN, ar, nl, pl, sv, da, fi, no, cs, hu, ro, el, tr, th, vi, id, and more.

Tips for better results

• Include the location in your search -- "plumber Berlin" works better than just "plumber"
• Use the local language for better results in non-English countries (e.g., "Zahnarzt Zurich" instead of "dentist Zurich")
• Set language to match your target market -- de for German results, fr for French
• Use Exclude CIDs to avoid re-scraping places you already have from previous runs

Pricing

$1.00 per 1,000 places scraped. All 30+ fields are included per place. No extra charges for reviews, photos, opening hours, parsed addresses, or any other field.

Example costs:

• 100 places = $0.10
• 1,000 places = $1.00
• 10,000 places = $10.00

Add-on	Pricing
Contact extraction	Billed separately by the Website Contact Extractor
Job listing extraction	Billed separately by the Website Job Extractor

Limitations

• ~120 results per query -- Google Maps returns a maximum of approximately 120 places per search query. For broader coverage, split your search into multiple queries by neighborhood or sub-region.
• No individual place detail pages -- Data comes from search results, not from visiting each place page individually. Most fields are populated, but some niche fields (full review text, all photos) may be limited to what Google includes in search results.
• Search relevance -- Results depend on Google's ranking algorithm. The same query may return slightly different results over time.
• Rate limiting -- Very high concurrency or very low request delays may trigger temporary blocks from Google. The defaults (10 concurrency, 300ms delay) are tuned for reliability.

Related Actors

Find businesses to enrich

• Kleinanzeigen.de Scraper — Germany
• Willhaben.at Scraper — Austria
• Tutti.ch Scraper — Switzerland
• Subito.it Scraper — Italy
• Marktplaats.nl Scraper — Netherlands

Real Estate

• Homegate.ch Scraper — Swiss real estate
• Immowelt.de Scraper — German real estate
• Oikotie.fi Scraper — Finnish real estate

E-Commerce

• AutoScout24 Scraper — European car listings
• Booking.com Scraper — Hotel listings

Enrichment

• Website Email & Phone Scraper
• Website Contact Extractor
• Website Job Extractor
• LinkedIn Scraper

Support

Found a bug or have a feature request? Open an issue.