Google Maps Scraper

Extract detailed business data from Google Maps -- names, addresses, phone numbers, websites, ratings, reviews, opening hours, GPS coordinates, and 30+ fields per place. Works worldwide in any language.

What you get

For every business found on Google Maps, you get:

Field	Example
Business name	Hiltl
Category	Vegetarian Restaurant
Full address	Sihlstrasse 28, 8001 Zurich, Switzerland
Structured address	street, city, postal code, state, country
Phone number	+41 44 227 70 00
Website	https://hiltl.ch
Rating	4.3
Review count	5,241
Opening hours	Monday: 06:00-23:00, Tuesday: 06:00-23:00, ...
GPS coordinates	47.3724, 8.5326
Price range	$$
Business status	OPERATIONAL
Google Maps link	Direct link to the listing
Thumbnail photo	URL of the main business image
Description	Business description from Google
Menu link	Link to restaurant menu (if available)
Owner info	Business owner name and ID

Plus: CID, data ID, Plus Code, timezone, categories, and more.

Input examples

Simple search

{
  "searchStrings": ["restaurants in Zurich"],
  "maxResults": 20
}

Multiple searches with location targeting

{
  "searchStrings": [
    "dentists in Berlin",
    "software companies Munich",
    "hotels in Vienna"
  ],
  "maxResults": 40,
  "language": "de"
}

Advanced queries with company IDs

Use this when you want to link results back to your own database:

{
  "queries": [
    {
      "query": "Italian restaurant",
      "location": "Zurich",
      "country": "CH",
      "company_id": "my-internal-id-123"
    }
  ],
  "maxResults": 20
}

Output example

{
  "company_id": "restaurants in Zurich",
  "title": "Hiltl",
  "category": "Vegetarian Restaurant",
  "categories": ["Vegetarian Restaurant", "Vegan Restaurant", "Buffet Restaurant"],
  "address": "Sihlstrasse 28, 8001 Zurich, Switzerland",
  "complete_address": {
    "street": "Sihlstrasse 28",
    "city": "Zurich",
    "postal_code": "8001",
    "state": "Zurich",
    "country": "Switzerland"
  },
  "phone": "+41 44 227 70 00",
  "website": "https://hiltl.ch",
  "rating": 4.3,
  "review_count": 5241,
  "review_rating": 4.3,
  "open_hours": {
    "Monday": ["06:00-23:00"],
    "Tuesday": ["06:00-23:00"],
    "Wednesday": ["06:00-23:00"],
    "Thursday": ["06:00-23:00"],
    "Friday": ["06:00-00:00"],
    "Saturday": ["06:00-00:00"],
    "Sunday": ["06:00-23:00"]
  },
  "latitude": 47.3724,
  "longitude": 8.5326,
  "price_range": "$$",
  "status": "OPERATIONAL",
  "link": "https://www.google.com/maps/place/Hiltl/@47.3724,8.5326,17z/...",
  "thumbnail": "https://lh5.googleusercontent.com/p/...",
  "description": "Long-running vegetarian & vegan restaurant...",
  "scraped_at": "2026-04-02T10:30:00Z"
}

Settings

Setting	Default	Description
Max Results per Query	20	How many places to return per search (max 120)
Language	en	Language for results (en, de, fr, ja, es, pt, it, ko, zh, ar)
Request Delay	300ms	Delay between pages to avoid rate limits
Max Concurrency	10	Parallel searches (useful for many queries)
Exclude CIDs	[]	Skip places you already have

Pricing

$1.00 per 1,000 places scraped. Each place returned counts as one result.

Example costs:

• 100 restaurants in Zurich = $0.10
• 1,000 dentists across Germany = $1.00
• 10,000 hotels in Europe = $10.00

Add-ons

After scraping Google Maps, you can automatically enrich the results by extracting data from each company's website:

Contact Extraction

Extract team members, decision-makers, and contact details (names, emails, phone numbers, job titles) from company websites using AI. Requires at least one LLM API key (Gemini recommended -- free tier available).

Website Contact Extractor

Job Listing Extraction

Extract open positions, job titles, locations, and descriptions from company career pages using AI. Requires at least one LLM API key.

Website Job Extractor

Email & Phone Extraction

Extract email addresses and phone numbers from company websites. No LLM API key required -- pure pattern matching.

Website Email Scraper

How to enable add-ons

1. Toggle the add-on in the input settings
2. For Contact and Job extraction, provide at least one LLM API key (Gemini, Groq, or OpenRouter)
3. The add-on runs automatically after Maps scraping completes
4. Results appear in a separate dataset linked in the run log

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

Related actors

• Website Contact Extractor -- Extract team members and contact details from websites
• Website Job Extractor -- Extract job listings from career pages
• Website Email Scraper -- Extract emails and phone numbers from websites
• LinkedIn Scraper -- Search and scrape LinkedIn job postings

Issues & support

Found a bug or need help? Report it here:

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