Google Maps Scraper

hipersoft/google-maps-scraper

Search Google Maps and scrape places: name, category, full address, city, coordinates, rating, phone, website, Place ID and map link. Fast browser-free via Google's internal endpoint, no setup. For local lead generation and market research.

Run this scraper →See the API call

Total users

Monthly users

Total runs

130

Per place scraped

$0.005

Last rebuilt

Oct 26, 2026

Overview

Google Maps Scraper turns any Google Maps search into a clean, structured dataset of local businesses. Query by keyword and location (e.g. "coffee shops in Austin TX") and get each place with its name, category, full address, phone, website, star rating, Place ID, coordinates and a direct map link. Export to JSON, CSV, Excel or XML. Fast and reliable, with no account or API key to set up. Reliable enough for bulk lead lists and repeatable market-research runs.

Google Maps Scraper input — search queries, country, language and place-details toggle in the Apify Console

What does the Google Maps Scraper do?

This Google Maps crawler runs your searches, paginates automatically, de-duplicates by Place ID, and returns one structured record per business. Add as many searches as you like and export a fresh local-business dataset for outreach, mapping or market research.

What data can you scrape from Google Maps?

Data point	Description
Identity	`name`, `category`, `categories`, `placeId`, `featureId`
Location	`address`, `city`, `countryCode`, `latitude`, `longitude`, `plusCode`
Contact	`phone`, `website`
Ratings	`rating`, `reviewsCount`
Hours	`hours`, `openStatus`
Links	`url`, `search`

What you get

One record per business. Export the full table to JSON, CSV, Excel or XML.

Google Maps Scraper output example — business rows with name, address, phone, rating and coordinates as structured JSON

{
  "search": "coffee shops in Austin TX",
  "name": "Houndstooth Coffee",
  "category": "Coffee shop",
  "categories": ["Coffee shop", "Espresso bar"],
  "address": "401 Congress Ave #100, Austin, TX 78701",
  "city": "Austin",
  "countryCode": "US",
  "latitude": 30.2681,
  "longitude": -97.7428,
  "rating": 4.6,
  "reviewsCount": 512,
  "phone": "+1 512-394-6051",
  "website": "https://houndstoothcoffee.com/",
  "placeId": "ChIJ_0123456789abcdefghijklmn",
  "featureId": "0x8644b5a1c2d3e4f5:0x1234567890abcdef",
  "plusCode": "76QW+2P Austin, Texas",
  "url": "https://www.google.com/maps/place/?q=place_id:ChIJ_0123456789abcdefghijklmn",
  "hours": ["Monday: 7 AM–7 PM", "Tuesday: 7 AM–7 PM"],
  "openStatus": "Open"
}

reviewsCount, hours and openStatus are populated when scrapePlaceDetails is enabled.

Output schema

Field	Type	Description
`search`	string	The search query that produced this place.
`name`	string	Business name.
`category`	string	Primary category of the business.
`categories`	array	All categories the business is listed under.
`address`	string	Full street address.
`city`	string	City the business is in.
`countryCode`	string	Two-letter country code.
`latitude`	number	Latitude of the place.
`longitude`	number	Longitude of the place.
`rating`	number	Average star rating.
`reviewsCount`	integer	Total number of reviews (with place details enabled).
`phone`	string	Contact phone number, when listed.
`website`	string (URL)	Business website, when listed.
`placeId`	string	Google Place ID, used to de-duplicate and to chain into reviews.
`featureId`	string	Google feature identifier for the place.
`plusCode`	string	Google Plus Code location string.
`url`	string (URL)	Direct Google Maps link to the place.
`hours`	array	Opening hours by day (with place details enabled).
`openStatus`	string	Whether the place is currently open or closed (with place details enabled).

Use cases

Build local B2B lead lists (name, phone, website) for a city or niche.
Map competitor density and ratings across a metro area for market research.
Enrich a CRM with Place IDs, coordinates and categories.
Feed Place IDs straight into the Google Maps Reviews Scraper for reputation tracking.
Analyze category coverage and average ratings across neighborhoods.

How to scrape Google Maps data

Add the Google Maps Scraper to your Apify account and open its input.
Enter searches like "<what> in <where>" under searches, one per line.
Set maxItemsPerSearch, country and language for your market.
Toggle scrapePlaceDetails for review counts and hours, then click Run.
Export the results as JSON, CSV, Excel or XML, or pull them via the Apify API.

Input

{
  "searches": ["coffee shops in Austin TX", "plumbers in Austin TX"],
  "maxItemsPerSearch": 60,
  "country": "us",
  "language": "en",
  "scrapePlaceDetails": false
}

Field	Description
`searches`	List of queries, ideally "<what> in <where>". One per line.
`maxItemsPerSearch`	Cap on places per search (1–500, ~20 per page).
`country`	Google country code (e.g. `us`, `gb`, `de`).
`language`	Results language (e.g. `en`, `es`).
`scrapePlaceDetails`	Also fetch total review count, hours and open/closed status (slower).
`proxyConfiguration`	Optional proxy settings; rotation is recommended for large runs.

Need more local & leads data?

Google Maps Reviews Scraper — reviewer names, ratings, text and dates for any place; chain Place IDs straight from here.
Google Maps Email Extractor — turn Maps results into a lead list with emails, socials and extra phones.
Website Contact Scraper — enrich the websites you find here with emails, phones and social profiles.

FAQ

Do I need an API key or Google account? No. Just add your searches and run — no API key, login or Google Cloud billing to set up.

How many places can I get per run? Each search returns up to 500 places (paginated automatically, ~20 per page). You can queue many searches in one run, so a single run can produce thousands of business records.

Does it collect emails or contact info? It returns each business's phone and website when Google exposes them, but it does not visit those websites to extract emails. For emails and social profiles, use the Google Maps Email Extractor.

What export formats are supported? JSON, CSV, Excel and XML, plus programmatic access through the Apify API.

How does billing work? You pay per item you get, so cost scales with the number of places you actually collect. See the Pricing tab for current rates.

Can I connect this to other tools? The Google Maps Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform. It works with Make, Zapier, Slack, Airbyte, GitHub, Google Drive and many more, plus the Apify API, JavaScript/Python clients and MCP. Or use webhooks to trigger an action whenever a run finishes.

Is scraping Google Maps legal? The scraper collects only publicly visible listing data — the same information any visitor sees on Google Maps. You are responsible for using it in line with applicable laws and Google's terms.

Notes

Original clean-room implementation. Collects only publicly visible Google Maps listing data. Not affiliated with, endorsed by or sponsored by Google; Google Maps is a trademark of Google LLC.

Input

Field	Type	Description
`searches` Searches	array	Search queries, ideally " in " (e.g. "restaurants in Chicago", "plumbers in Austin TX"). One per line.
`maxItemsPerSearch` Max places per search	integer	Cap places per search (~20 per page). Default: `60`
`country` Country	string	Google country code (e.g. us, gb, de). Default: `"us"`
`language` Language	string	Results language (e.g. en, es). Default: `"en"`
`proxyConfiguration` Proxy	object	Proxy configuration. Leave the default — it is tuned for reliable results. Default: `{"useApifyProxy": true}`
`scrapePlaceDetails` Scrape review count + hours (slower)	boolean	For each place, fetch its full details to add the total review count, opening hours and open/closed status. Slower and costs a place-details event per place (uses proxy retries for reliability). Default: `false`

API

curl -X POST "https://api.apify.com/v2/acts/hipersoft~google-maps-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "searches": [
    "coffee shops in Austin TX"
  ]
}'

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("hipersoft/google-maps-scraper").call(run_input={
    "searches": [
        "coffee shops in Austin TX"
    ]
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('hipersoft/google-maps-scraper').call({
  "searches": [
    "coffee shops in Austin TX"
  ]
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Pricing

Event	Price	Paid plans from
Place scraped One place with name, category, address, coordinates, rating, phone, website and Place ID	$0.005	$0.0025
Results page fetched One Google Maps results page (~20 places) fetched and parsed	$0.002	$0.002

You pay only for what the run returns. Set a maximum cost per run and it stops cleanly at that limit.

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