Google Maps Scraper — Places & Reviews avatar

Google Maps Scraper — Places & Reviews

Pricing

from $10.00 / 1,000 results

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Google Maps Scraper — Places & Reviews

Google Maps Scraper — Places & Reviews

Scrape Google Maps places with names, categories, phones, websites, hours, ratings, reviews, addresses, photos, and coordinates.

Pricing

from $10.00 / 1,000 results

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0.0

(0)

Developer

Muhammad Afzal

Muhammad Afzal

Maintained by Community

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17 days ago

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Scrape Google Maps for local business data including names, addresses, phone numbers, websites, star ratings, review counts, business hours, GPS coordinates, photos, and categories. Returns CRM-ready structured JSON — every field typed and machine-readable so AI agents, lead gen tools, and analytics dashboards can use it directly.

Export scraped data, run the scraper via API, schedule and monitor runs, or integrate with other tools.

Features

  • 100 places in ~5 seconds — pure API extraction, no browser overhead
  • Complete contact data — name, address, phone, website, Google Maps URL
  • Ratings & reviews — star rating (0–5), total review count, and review text snippets
  • Business hours — structured day-by-day hours (e.g., "Monday": "9AM–9PM") and open/closed status
  • GPS coordinates — precise lat/lng for mapping, distance calculations, and clustering
  • Photos — thumbnail and gallery image URLs for visual data pipelines
  • Price level$, $$, $$$, $$$$ where available
  • Category tags — primary and secondary business types (e.g., "restaurant", "Italian restaurant")
  • Rating filter — exclude places below a minimum star rating
  • Multi-query support — search dozens of keywords or locations in a single run
  • Location biasing — pass GPS coordinates to prioritize nearby results
  • 12-country localization — country code and language filtering

Use Cases

Use CaseDescription
B2B lead generationFind dentists, lawyers, restaurants, or any business type in any city with phone + website
Competitor analysisMap all competitors in a market by category and location
Local SEO auditsBenchmark ratings, hours, and review counts across locations
Sales prospectingBuild targeted prospect lists with contact details for outreach campaigns
Real estate researchFind nearby amenities, services, and points of interest
AI & LLM pipelinesFeed structured location data to agents for search, comparison, and recommendation

Input

FieldTypeDefaultDescription
searchQueriesstring[]["coffee shops in Austin TX"]Keywords + location to search on Google Maps (e.g., "dentists in Chicago")
maxResultsinteger20Max places to return per query (1–200)
countryCodestring"us"Two-letter country code for localized results
languageCodestring"en"Language for results
lat / lngnumberOptional GPS coordinates to bias results toward a specific location
minRatingnumber0Only return places at or above this star rating (0–5)
includePhotosbooleantrueInclude photo URLs in output

Output

Each record in the dataset represents one Google Maps place:

{
"placeId": "ChIJN1t_tDeuEmsRUsoyG83frY4",
"title": "Sydney Opera House",
"address": "Bennelong Point, Sydney NSW 2000, Australia",
"phoneNumber": "+61 2 9250 7111",
"website": "https://www.sydneyoperahouse.com",
"rating": 4.7,
"ratingCount": 89432,
"latitude": -33.8568,
"longitude": 151.2153,
"type": "Performing arts theater",
"types": ["performing_arts_theater", "tourist_attraction"],
"priceLevel": null,
"openingHours": {
"Monday": "9AM–5PM",
"Tuesday": "9AM–5PM",
"Wednesday": "9AM–5PM",
"Thursday": "9AM–5PM",
"Friday": "9AM–8PM",
"Saturday": "9AM–8PM",
"Sunday": "10AM–5PM"
},
"description": "Iconic multi-venue performing arts centre...",
"thumbnailUrl": "https://lh3.googleusercontent.com/...",
"googleUrl": "https://www.google.com/maps/place/?q=place_id:ChIJ...",
"scrapedAt": "2025-08-01T12:00:00.000Z",
"searchQuery": "landmarks in Sydney"
}

API Usage

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });
const run = await client.actor('USERNAME/google-maps-scraper').call({
searchQueries: ['plumbers in Dallas TX', 'HVAC contractors in Houston TX'],
maxResults: 50,
countryCode: 'us',
minRating: 4.0,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Scraped ${items.length} businesses`);

Pricing

This actor charges per result item returned.

VolumeEstimated Cost
100 places~$0.10
1,000 places~$1.00
10,000 places~$10.00

FAQ

Q: Does this require a Google API key? No — this scraper uses Google's public Maps data. No API key needed.

Q: What is the maximum results per query? Up to 200 results per query. For more results, split across multiple searches with different radius or location filters.

Q: Are business hours always available? Business hours are included when Google has them. About 60–70% of listings include structured hours.

Q: Can I search multiple cities at once? Yes — pass an array of searchQueries like ["dentists in Chicago", "dentists in New York"].

What is Google Maps Scraper?

Google Maps Scraper turns the target data into structured, reusable results on Apify. Use it when you need repeatable collection for analysts, developers, agencies, researchers, and AI-agent workflows without maintaining a custom scraper or one-off integration. Run it manually, schedule recurring jobs, call it through the Apify API, or connect it to an AI agent through the Apify MCP server.

The Actor stores results in an Apify dataset, where they can be previewed and exported as JSON, CSV, Excel, XML, or RSS. Availability and completeness depend on the source, supplied inputs, public visibility, authentication requirements, and upstream rate limits.

Use cases for Google Maps Scraper

  • Build structured datasets for research, reporting, enrichment, or monitoring.
  • Automate repetitive collection with schedules, webhooks, and API calls.
  • Feed clean records into spreadsheets, databases, CRMs, BI tools, AI agents, or RAG pipelines.
  • Track changes over time by running the same validated input on a schedule.
  • Replace fragile manual copy-and-paste work with a reproducible Apify workflow.

How to use Google Maps Scraper

  1. Open the Actor input page and choose a focused, valid target.
  2. Set a conservative result limit for the first run.
  3. Start the Actor and inspect the dataset for coverage and field availability.
  4. Export the results or connect the dataset to your downstream system.
  5. Scale gradually and use scheduling, pagination, or proxies when supported.

Important input options

  • searchQueries — Enter one or more search queries to find places on Google Maps (e.g., 'restaurants in Austin TX', 'plumbers in Chicago', 'hotels near Central Park'). Each query returns up to maxResults plac
  • locationCoords — Optional GPS coordinates to bias search results. Format as 'latitude,longitude' (e.g., '40.7128,-74.0060' for NYC). Leave empty for general search.
  • maxResults — Maximum number of places to return per search query. Default is 20. Set lower for quick lookups, higher for comprehensive searches (up to 200 per query).
  • countryCode — Two-letter country code for search localization (e.g., 'us' for United States, 'gb' for United Kingdom).
  • languageCode — Language code for search results (e.g., 'en' for English, 'es' for Spanish).
  • includePhotos — Include thumbnail image URLs in output. Disable for smaller output size.
  • minRating — Only return places with rating >= this value (0 = no filter). Set to 4.0 for highly-rated businesses.
  • maxRequestRetries — Maximum number of retry attempts if a search request fails. Increase for reliability on unstable connections.

API and automation example

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('muhammadafzal/google-maps-scraper').call({
// Add the same input fields you use in the Apify Console.
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Use these dedicated tools when a neighboring data source or workflow is a better match:

Frequently asked questions

How many results can I scrape with Google Maps Scraper?

The practical total depends on the source, input limits, pagination, available records, run timeout, and upstream restrictions. Start with a small run, verify the output, and increase the limit gradually.

Can I integrate Google Maps Scraper with other apps?

Yes. Use Apify integrations, webhooks, schedules, dataset exports, Make, Zapier, Google Sheets, cloud storage, or your own application.

Can I use Google Maps Scraper with the Apify API?

Yes. Start runs with the Apify REST API or an official Apify client, then retrieve records from the run's default dataset. Keep your API token in a secret or environment variable.

Can I use Google Maps Scraper through an MCP Server?

Yes. The Apify MCP server can expose the Actor to compatible AI clients and agents. Review the input and expected cost before allowing an autonomous workflow to run it at scale.

Do I need proxies?

It depends on the source and volume. Use the default configuration first. For larger or geographically sensitive jobs, select an appropriate proxy configuration only when the Actor supports it.

Scraping rules vary by source, jurisdiction, data type, and intended use. Collect only data you are authorized to access, respect applicable terms and privacy laws, and avoid restricted or personal data misuse. This documentation is not legal advice.

Your feedback

If a field is missing, a source layout has changed, or you need a supported use case documented, open an issue on the Actor page with a reproducible input and run ID.