Google Maps Scraper — 40+ Data Fields per Place

The fastest and most feature-rich Google Maps scraper on Apify. Built with a lightweight HTTP-only engine — no browser, no bloat, no overhead. Runs in seconds, not minutes.

Extract 50+ data fields per place: review texts, name, address, phone, website, opening hours, images, ratings, lead score, business attributes, price level, categories, coordinates, and more.

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✨ Features

Feature	Description
50+ Fields per Place	Review texts, name, address, phone, website, rating, opening hours, images, price level, categories, coordinates, lead score, business attributes, and more
Review Extraction	Real review texts with author name, rating, and date — extracted from JSON-LD structured data
Lead Scoring	Automatic 0-100 lead quality score based on contact info, ratings, and data completeness
Business Attributes	Women-owned, LGBTQ+ friendly, veteran-owned, claimed status, and more identity attributes
Structured Address	Address broken into street, number, city, postal code, state, country
Aggregate Statistics	Per-query stats: average rating, rating distribution, price level distribution, data coverage %
HTTP-only Engine	No Playwright, no Chromium, no browser overhead — pure HTTP requests with TLS fingerprinting
Blazing Fast	Runs in seconds (not minutes) — up to 10× faster than browser-based scrapers
Batch Queries	Run multiple search queries in a single execution
Multi-language	Results in German, English, French, Spanish, Italian, Dutch, Polish, Turkish, Russian, Arabic, Chinese, Japanese, Korean
Email Extraction	Extracts email addresses from business detail pages
Lead Generation Ready	Structured address components, phone, website, lead score — perfect for sales prospecting
SEO Analysis	Categories, ratings, review counts, price levels for competitive research

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🚀 Quick Start

1. Via Apify Console (Recommended)

1. Go to Opencalw Google Maps Scraper on Apify Store
2. Click Try for free or Start
3. Enter your search queries:

{
  "queries": ["Cafe Berlin", "Restaurant Munich", "Dentist Hamburg"],
  "maxPlaces": 50,
  "scrapePlaceDetails": true,
  "language": "de"
}

4. Click Run and wait for results (typically 5-30 seconds)

2. Via API

curl "https://api.apify.com/v2/acts/opencalw-google-maps-reviews/runs?token=YOUR_API_TOKEN" \
  -X POST \
  -H "Content-Type: application/json" \
  -d '{
    "queries": ["Cafe Berlin", "Restaurant Munich"],
    "maxPlaces": 50
  }'

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📋 Input Parameters

Parameter	Type	Default	Description
queries	array[string]	—	Required. List of search terms (e.g., ["Cafe Berlin", "Pizzeria Munich"])
maxPlaces	integer	50	Max places per query (max: 500)
scrapePlaceDetails	boolean	true	Fetch opening hours, images, price level, full contact details
maxReviews	integer	3	Max review texts to extract per place (0-10). Extracts author, rating, text, date
includeBusinessAttributes	boolean	true	Detect women-owned, LGBTQ+ friendly, veteran-owned, claimed status
includeLeadScore	boolean	true	Calculate lead quality score (0-100) for each place
language	enum	"de"	Google Maps interface language (de, en, fr, es, it, nl, pt, pl, tr, ru, ar, zh, ja, ko)

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📤 Output Example

Each place returns 40+ fields. Here's a sample:

{
  "name": "Coffee Fellows",
  "address": "Friedrichstraße 123, 10117 Berlin",
  "street": "Friedrichstraße",
  "streetNumber": "123",
  "city": "Berlin",
  "postalCode": "10117",
  "phone": "+49 30 123456789",
  "website": "https://coffee-fellows.de/berlin",
  "rating": 4.3,
  "reviewCount": 1247,
  "priceLevel": "$$",
  "category": "Coffee Shop",
  "placeId": "ChIJ...",
  "coordinates": {
    "lat": 52.5200,
    "lng": 13.4050
  },
  "openingHours": [
    { "day": "Monday", "hours": "07:00–20:00" },
    { "day": "Tuesday", "hours": "07:00–20:00" },
    { "day": "Wednesday", "hours": "07:00–20:00" },
    { "day": "Thursday", "hours": "07:00–20:00" },
    { "day": "Friday", "hours": "07:00–22:00" },
    { "day": "Saturday", "hours": "08:00–22:00" },
    { "day": "Sunday", "hours": "09:00–18:00" }
  ],
  "images": [
    { "url": "https://lh5.googleusercontent.com/...", "alt": "Coffee Fellows Interior" },
    { "url": "https://lh5.googleusercontent.com/...", "alt": "Coffee Fellows Menu" }
  ],
  "totalScore": 4.3,
  "url": "https://www.google.com/maps/place/?q=place_id:ChIJ..."
}

Full Field List (50+)

#	Field	Description
1	name	Place name
2	address	Full address
3	addressComponents	Structured address (street, number, city, postalCode, state, country)
4	phone	Phone number
5	website	Website URL
6	email	Email address
7	rating	Average rating (1.0–5.0)
8	reviewCount	Number of reviews
9	priceLevel	Price level ($/$$/$$$/$$$$)
10	category	Business category
11	placeId	Google Maps Place ID
12	coordinates	Lat/Lng coordinates
13	openingHours	Hours per weekday
14	images	Photo URLs (up to 5)
15	reviews	Review texts with author, rating, date (up to 5)
16	leadScore	Lead quality score (0-100)
17	businessAttributes	Women-owned, LGBTQ+ friendly, veteran-owned, etc.
18	claimedStatus	Claimed/unclaimed/unknown
19	url	Google Maps URL
20+	More fields	Accessibility, payments, amenities, hotel details, and more

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💰 Pricing

Volume	Price	Cost per 1,000
1,000 places	$1.00	$1.00
10,000 places	$10.00	$1.00
100,000 places	$100.00	$1.00

Free tier: 10 free results to test before you buy.

Why so affordable?

Our HTTP-only engine eliminates the expensive browser overhead. No Chromium, no Playwright, no 2GB Docker images — just pure HTTP requests with Chrome TLS impersonation. This makes us:

• Up to 10× cheaper than browser-based competitors
• Up to 10× faster per run
• More reliable (no browser crashes, no memory leaks)

Comparison

Scraper	Price/1k	Engine	Fields	Reviews	Lead Score	Bus. Attr.	Browser?
Opencalw (this)	$1.00	HTTP-only	50+	✅ Up to 5	✅ 0-100	✅ Yes	No
compass/crawler-google-places	$2.10	HTTP + Browser	60+	✅ (Paid)	❌	✅ (Limited)	Partial
scraperlink/google-maps-scraper	$0.50	HTTP-only	40+	❌	❌	❌	No
solidcode/google-maps-scraper	$2.50	HTTP-only	30+	❌	❌	✅	No
vortex_data/google-maps	$1.00	HTTP-only	46	❌	❌	❌	No

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🎯 Use Cases

1. Lead Generation

Build prospect lists from Google Maps. Extract phone numbers, websites, and addresses for any industry in any city. Perfect for sales teams, real estate agents, and B2B lead generation.

Example: Find all "Dentist in Munich" — get 500 leads with phone, website, and address.

2. Local SEO Analysis

Monitor your business listings across Google Maps. Track rating changes, review counts, and competitor activity. Ideal for SEO agencies and multi-location businesses.

3. Market Research

Analyze entire industries by location. Compare price levels, ratings, and density of competitors. Understand market saturation before opening a new location.

4. Restaurant & Hospitality

Extract menus, opening hours, price ranges, and ratings for restaurants in any city. Build recommendation engines or competitive analysis dashboards.

5. Real Estate

Find agents, agencies, and property developers by location. Extract contact details and ratings for targeted outreach.

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⚡ Performance

Metric	Browser-based	Opencalw HTTP-only
Cold start	30-60s (Chrome download)	< 1s
50 places	30-90s	3-10s
500 places	5-15 min	30-60s
RAM usage	500MB-2GB	~50MB
Docker image	1-2GB	~200MB
Reliability	Browser crashes	Stable

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Part of the Opencalw Ecosystem

Maximize your data extraction with our complete suite of social media and local search scrapers:

Actor	Price	Data
Google Maps Scraper v4.0 (this)	$0.08/place	Reviews, lead score, 50+ fields
Instagram Hashtag Tracker v2.0	$0.05/post	Posts by hashtag, likes, comments, engagement
YouTube Video Scraper v1.0	$0.03/video	Search, metadata, views, likes, comments
TikTok Video Scraper v1.0	$0.04/video	Search, trending, hashtag, stats, author info

Bundle discount: Use multiple actors and save on volume pricing.

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FAQ

Is this legal?

Yes. This scraper accesses publicly available information on Google Maps — the same data you see when you visit maps.google.com in your browser. It does not bypass authentication, access private data, or violate any laws. Always respect Google's Terms of Service and applicable data protection regulations (GDPR, CCPA).

What's the difference between this and compass/crawler-google-places?

compass is the market leader with 400K+ users and 60+ fields. Opencalw is the smarter alternative: same quality data, 50+ fields, plus unique features like lead scoring, review text extraction, and business attributes — all at half the price ($1.00 vs $2.10 per 1k). Our HTTP-only engine means faster runs and fewer failures.

How is this different from scraperlink/google-maps-scraper?

Both use HTTP-only engines. scraperlink is $0.50/1k with 40+ fields — very competitive. Opencalw differentiates through review text extraction, lead scoring, business attributes, detailed opening hours, image extraction, and multi-language support — features scraperlink doesn't offer.

Can I run this locally (not on Apify)?

Yes! The actor is open-source. Clone the repository, install dependencies (pip install -r requirements.txt), and run python main.py. Note that you'll need to handle Apify-specific features (push_data, input) yourself.

What languages are supported?

We support 14 languages: German, English, French, Spanish, Italian, Dutch, Polish, Turkish, Russian, Arabic, Chinese, Japanese, and Korean.

What's the maximum number of places I can scrape?

Up to 500 places per query, with multiple queries per run. Need more? Contact us for custom enterprise plans.

How are lead scores calculated?

Lead scores (0-100) use a weighted heuristic: email (25pts), phone (15pts), website (10pts), high rating (15pts), reviews (10pts), data completeness (20pts), and premium indicators (5pts). Higher scores mean better sales prospects.

Can I get the aggregate statistics?

Yes! Aggregate stats (average rating, distribution, coverage %, top categories) are saved to the key-value store under the key AGGREGATE_STATS after each run.

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🔧 Technical Details

How It Works

1. HTTP Request — curl_cffi sends requests with Chrome 131 TLS fingerprint
2. Google Maps API — Targets the same internal endpoints as the Maps frontend
3. HTML Parsing — BeautifulSoup + lxml extract structured data
4. JSON Extraction — Embedded JSON (__INITIAL_STATE__) parsed for structured fields
5. JSON-LD Parsing — Structured data (application/ld+json) extracted for reviews, ratings, address
6. Business Attribute Detection — Keyword matching for identity attributes + claimed status
7. Lead Scoring — Weighted heuristic from available data fields
8. Aggregate Statistics — Per-query computation of distributions and coverage metrics
9. Quad-Tree Viewport — Subdivides the search area to bypass Google's 120-result limit
10. Output — JSON objects pushed to Apify dataset with optional PPE charging

Requirements

• Python 3.11+
• curl-cffi >= 0.7.0
• beautifulsoup4 >= 4.12.2
• lxml >= 5.1.0

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📞 Support

• Issues: GitHub Issues
• Source Code: GitHub Repository

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