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Google Maps Scraper

Pricing

from $2.90 / 1,000 results

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Google Maps Scraper

Google Maps Scraper

Extract data from thousands of Google Maps locations and businesses, including reviews, reviewer details, images, contact info, including full name, email, opening hours, prices & more. Export data, run via API, schedule and monitor runs, or integrate with other tools.

Pricing

from $2.90 / 1,000 results

Rating

4.4

(2)

Developer

Boztek LTD

Boztek LTD

Maintained by Community

Actor stats

5

Bookmarked

1.3K

Total users

174

Monthly active users

0.29 hours

Issues response

10 hours ago

Last modified

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A fast, reliable Google Maps scraping actor built for clean, consistent place data. Give it search terms plus city and country (or a custom geolocation) — get a structured dataset with the fields you actually need.

What it does

  • Searches Google Maps by keywords, URLs, or Place IDs
  • Divides the target area into a geographic grid for maximum coverage
  • Scrolls through Google Maps search results and extracts place data
  • Fast Mode (default): captures data directly from search result cards — no individual page visits
  • Detail Mode: visits each place's detail page for complete data including phone, opening hours, and website

If you want a hosted version of this scraper, check out: 👉 https://basedonb.com

Scraping Modes

Fast Mode (detailGeneration: false, default)

Captures data directly from Google Maps search result lists without opening individual place pages.

Fields captured: Title, Rating, Review Count, Category, Partial Address, Google Maps URL.

Best for: large-scale searches where speed matters and basic info is sufficient.

Detail Mode (detailGeneration: true)

Visits each place's individual page to extract the full dataset.

Fields captured: Everything in Fast Mode, plus — Full Address (street, city, postal code, state), Phone, Website, Coordinates (precise), Plus Code, Opening Hours, Additional Info (amenities, accessibility, etc.), Place ID.

Best for: complete business profiles where phone numbers, hours, and websites are needed.


Pricing

ModeDataset item feeUsage-based feeTotal (est.)
Fast Mode$2.90 / 1,000 places~$2.90 / 1,000
Detail Mode$2.90 / 1,000 places$10 / 1,000 detail pages~$12.90 / 1,000

An initial actor fee of $0.008 is charged per run.

Free Tier

Free tier users receive a pre-built sample dataset of 100 New York City restaurants (Detail Mode format) instead of live scraping. No proxy or browser resources are used — results are returned instantly.

  • If you request fewer than 100 results, only that many sample results are returned.
  • The sample dataset includes: title, address, phone, website, coordinates, opening hours, ratings, and more.
  • To scrape custom locations and search terms with live data, upgrade to a paid plan.

How billing events work

  • Fast Mode — No usage-based fee. Only the standard Apify dataset item fee applies ($0.0029 per result).
  • Detail Mode — 1 detail-generation event ($0.01) is charged for each emitted place item when detailGeneration: true$10 per 1,000.

Proxy Auto-Selection

The actor automatically selects the right proxy type — you do not need to configure this manually.

ConditionProxy typeReason
Country unknown (no country input)DatacenterCannot route without a country code
United States + Fast ModeDatacenterUS datacenter IPs are reliable and cheap for list-level scraping
United States + Detail ModeResidential (US)Detail pages require local IPs to avoid geo-filtering
Any non-US country, any modeResidential (target country)Non-US datacenter IPs are routinely blocked or return wrong regional content, even for list searches

The target country is taken from the country input (and optional city). For example:

  • Searching in Istanbul → Turkish residential IPs in both modes
  • Searching in São Paulo → Brazilian residential IPs in both modes
  • Searching in New York → US datacenter (Fast Mode) or US residential (Detail Mode)

If the target country cannot be determined, the actor falls back to datacenter proxy automatically.


Input Parameters

ParameterTypeDefaultDescription
searchStringsArrayArrayOne or more search terms (e.g. ["restaurant", "cafe"])
cityStringNew YorkCity for pool search and scrape tasks
countryStringUSACountry or region; required for search_places when not using customGeolocation. With geo, omit only if the pool alone satisfies your quota; if workers must fill the gap, set country (and optionally city).
maxCrawledPlacesPerSearchInteger50Global maximum number of places to scrape across all grid cells
languageStringenLanguage for Google Maps results
detailGenerationBooleanfalseEnable Detail Mode (visits each place page)
startUrlsArrayDirect Google Maps search or place URLs
placeIdsArrayList of Google Maps Place IDs
maxRequestRetriesInteger3Retries per failed request
maxConcurrencyInteger5Parallel browser pages
navigationTimeoutSecsInteger20Page load timeout in seconds
verboseLogBooleanfalseEnable debug-level logging

Breaking change: The old locationQuery field was removed. Use city and country instead (for example, replace "Istanbul, Turkey" with city: "Istanbul" and country: "Turkey").


How Geographic Search Works

When searchStringsArray is used with city / country (or with customGeolocation for geo-based pool search):

  1. Resolve location — The actor uses city and country for the Supabase search_places RPC (or centroid + radius when customGeolocation is set).
  2. Pool then tasks — Matching rows are returned from your pool; if more places are needed, a scrape_tasks row is created with the same city, country, and query so workers can fill the gap. If you use customGeolocation only, you can skip country for the geo pool step, but you must still provide country (and optionally city) when the pool cannot satisfy maxCrawledPlacesPerSearch, or the run fails before creating an invalid task.

See .actor/INPUT_SCHEMA.json for the full list of options (e.g. placeIds, startUrls, customGeolocation).


Example Output

Fast Mode

{
"title": "Karadeniz Pide Fırını",
"totalScore": 4.6,
"reviewsCount": 892,
"categories": ["Pide restaurant"],
"address": "Moda Cd. No:12, Kadıköy",
"url": "https://www.google.com/maps/place/Karadeniz+Pide+Fırını/...",
"scrapedAt": "2025-03-06T14:22:10.000Z"
}

Detail Mode

{
"title": "Karadeniz Pide Fırını",
"totalScore": 4.6,
"reviewsCount": 892,
"categories": ["Pide restaurant"],
"address": "Moda Cd. No:12, 34710 Kadıköy/İstanbul",
"phone": "+90 216 345 67 89",
"website": "https://karadenizpide.com",
"coordinates": { "lat": 40.9897, "lng": 29.0275 },
"plusCode": "3GXJ+R2 Istanbul",
"openingHours": [
{ "day": "Monday", "hours": "08:00 to 22:00" },
{ "day": "Tuesday", "hours": "08:00 to 22:00" }
],
"additionalInfo": {
"Service options": [{ "Dine-in": true }, { "Takeaway": true }]
},
"placeId": "ChIJ...",
"url": "https://www.google.com/maps/place/Karadeniz+Pide+Fırını/...",
"scrapedAt": "2025-03-06T14:22:10.000Z"
}

Tips

  • Use a specific city (e.g. Kadıköy with country Turkey) for tighter, more targeted pool matches when your data supports it.
  • maxCrawledPlacesPerSearch is a global ceiling — the actor stops as soon as this many places are collected, regardless of how many grid cells remain.
  • Fast Mode is recommended for discovery and lead generation at scale. Switch to Detail Mode only when phone numbers or opening hours are required.
  • For direct place lookups, use placeIds or startUrls — these skip the search step entirely.