Google Maps Scraper: Places, Emails and Leads

What is this Google Maps scraper?

This Actor is a Google Maps scraper for local business data and leads. Type what you are looking for (dentist, restaurant, plumber) and where (Lyon, France, Chicago, USA), and get every place Google Maps lists inside that area, one row per place: name, category, address and its parts, coordinates, phone, website, rating, review count, opening hours for the week, Google's place ID and Maps link, and, if you ask, emails and social profiles read from each place's own website.

In short

• What you get: every place Google Maps lists inside your area, one row per place, with phone, website, rating, review count, opening hours for the week, coordinates and Google's place ID, plus emails and social profiles from each place's own website when you ask.
• What it costs: $1.50 per 1,000 places ($1.20 on Apify Business plans), everything included: opening hours, review count, contacts and filters. No add-ons.
• Why this one (measured 2026-10-05, prices read again 2026-10-13): $1.50 per 1,000 where compass/crawler-google-places, the most used, charges $8.00 for the same fields (place, details and contacts add-ons) plus $1.00 per 1,000 for each filter; places outside your area and duplicates across overlapping areas are dropped before the charge (0 duplicates in 6,000 rows); and up to 50 locations times 50 search terms in one run.

No Google account, no API key, no cookies: the Actor reads what Google Maps shows any logged-out visitor.

What data can you extract from Google Maps?

One row per place. Where Google Maps shows nothing, the field is null (or an empty list), never guessed.

Place	Contact	Context
Name, primary category, all categories	Phone as displayed and in E.164 (+17732771490)	Rating (1 to 5) and review count
Full address, street, neighborhood, city, postcode, state, country code	Website	Opening hours for each day of the week, and today's status ("Closed · Opens 10 AM")
Latitude and longitude, time zone	Emails found on the website (opt-in)	Permanently or temporarily closed
Place ID, CID, Knowledge Graph ID, Google Maps URL	Facebook, Instagram, LinkedIn, X, YouTube, TikTok, Pinterest links from the website (opt-in)	Google's short description, where it has one
The search term and the area that found it	Whether the website was read (contactsStatus) and why not (contactsError)	Price range, only where Google shows one (rare, see the limits)

Measured fill on three 1,000-place cloud runs (Lyon restaurants, Berlin dentists, Chicago restaurants): phone 88% to 97%, website 73% to 78%, review count 87% to 96%, opening hours for the full week 82% to 92%; name, category, address, coordinates and IDs 100%.

What can you use Google Maps data for?

• Lead generation: every dentist, gym, restaurant or contractor in a city, with phone, website and the emails on their site.
• Local market research: how many competitors in an area, how they are rated, how many reviews they have, when they open.
• Sales territories and field teams: places with coordinates, inside the exact city or a polygon you draw.
• Directories and local SEO: names, categories, addresses and hours, refreshed on a schedule.
• Data for AI agents and pipelines: one predictable JSON row per place.

How to scrape Google Maps

1. Click Try for free (or Start) on this page and sign in to Apify.
2. Type one or more Search terms (dentist) and one or more Locations (Lyon, France). Every term is searched in every location.
3. Set Max places per search. You pay per place returned, so start small to look at the data.
4. Turn on Emails and social profiles from websites if you want contacts (same price per place).
5. Click Start. When the run finishes, open the Output tab, pick the Places, Contacts or Location view, and export as JSON, CSV, Excel or XML, or read it through the API.

Input

Field	What it does
searchTerms	What to look for, as you would type it in Google Maps: a category or a keyword. Required. Up to 50 per run.
locations	Cities, regions or postcodes, one per line. Each is resolved to its real boundary on OpenStreetMap. City plus country works best. Up to 50 per run.
maxPlacesPerSearch	Stop after this many places for each term in each location (default 100, up to 50,000).
scrapeContacts	Read each place's website for emails and social profile links. Off by default. Same price per place.
strictBoundary	On by default: places outside the location's boundary (Google pads results with places nearby) are dropped before they are charged.
language	Language of categories, hours and status lines (en, fr, de, pt-br...).
skipClosedPlaces, minRating, requireWebsite, requirePhone, categoryFilterWords	Free filters: a place they drop is never charged. categoryFilterWords keeps a place only if one of its categories contains one of the words (dent for a dentist search).
customGeolocation	An exact area instead of, or in addition to, the locations: GeoJSON Polygon, MultiPolygon, Feature, FeatureCollection, or a Point with radiusKm.
proxy	residential (default, Apify residential proxy with US exits): Google answers in full. datacenter: Google caps some datacenter IPs at about 20 places per view, so dense areas come back short (the run says partial). none: the run's own address.

Example: dentists in Lyon, 20 places (the prefilled input).

{
  "searchTerms": ["dentist"],
  "locations": ["Lyon, France"],
  "maxPlacesPerSearch": 20
}

Example: 1,000 restaurants in Chicago with emails and social profiles (the run on this page).

{
  "searchTerms": ["restaurant"],
  "locations": ["Chicago, USA"],
  "maxPlacesPerSearch": 1000,
  "scrapeContacts": true
}

Example: plumbers and electricians in three cities, rated 4 or more, with a website.

{
  "searchTerms": ["plumber", "electrician"],
  "locations": ["Manchester, UK", "Leeds, UK", "Liverpool, UK"],
  "maxPlacesPerSearch": 500,
  "minRating": 4,
  "requireWebsite": true,
  "scrapeContacts": true
}

Example: cafes within 2 km of a point (GeoJSON is [longitude, latitude]).

{
  "searchTerms": ["cafe"],
  "customGeolocation": { "type": "Point", "coordinates": [4.8357, 45.764], "radiusKm": 2 },
  "maxPlacesPerSearch": 300
}

Output

The dataset holds one row per place, with three ready-made views in Apify Console and in the API:

• Places: name, category, address, phone, website, rating, review count, today's status, search term and Maps link.
• Contacts: phone, website, emails, social profiles, and whether the website was read (ok, no-website, failed with the reason).
• Location: address parts, coordinates, place ID, CID and the area searched.

No duplicates: a place is returned and charged once per run, across every search term, every location and every overlapping map view.

A row from the cloud run on this page (restaurant, Chicago, contacts on, 2026-10-05; hours shortened to two days):

{
  "placeId": "ChIJIZ98JGkyDogRLPsu1_AGKMw",
  "name": "El Tecolote Restaurant",
  "category": "Mexican restaurant",
  "categories": ["Mexican restaurant", "Latin American restaurant", "Seafood restaurant"],
  "address": "3519 W 26th St, Chicago, IL 60623",
  "street": "3519 W 26th St",
  "neighborhood": "South Lawndale",
  "city": "Chicago",
  "postalCode": "60623",
  "state": "Illinois",
  "countryCode": "US",
  "latitude": 41.844226,
  "longitude": -87.713212,
  "phone": "(773) 277-1490",
  "phoneE164": "+17732771490",
  "website": "http://tecolotechicago.com/",
  "rating": 4.5,
  "reviewsCount": 419,
  "priceRange": null,
  "openingHours": [
    { "day": "Monday", "hours": "10 AM-8 PM" },
    { "day": "Tuesday", "hours": "Closed" }
  ],
  "hoursStatus": "Closed · Opens 10 AM",
  "permanentlyClosed": false,
  "temporarilyClosed": false,
  "timezone": "America/Chicago",
  "cid": "14835308146947185356",
  "kgmid": "/g/1tcw466s",
  "url": "https://www.google.com/maps/search/?api=1&query=El%20Tecolote%20Restaurant&query_place_id=ChIJIZ98JGkyDogRLPsu1_AGKMw",
  "searchTerm": "restaurant",
  "searchArea": "Chicago, South Chicago Township, Cook County, Illinois, United States",
  "emails": ["tecolote.ostioneria@gmail.com"],
  "socials": { "facebook": ["https://www.facebook.com/tecoloterestaurant"], "instagram": [], "linkedin": [], "x": [], "youtube": [], "tiktok": [], "pinterest": [] },
  "contactsStatus": "ok",
  "contactsError": null,
  "scrapedAt": "2026-10-05T11:55:15.168Z"
}

Run summary

The run's key-value store holds a SUMMARY record with one status per search (term and location): ok, partial (fewer places than asked while the area may hold more, with the reason), or failed. It also says which area each location resolved to, how many places fell outside it, how many duplicates were skipped, how many places each filter dropped, how many websites were read, and how many places carried a price range. A short result is never silent.

Limits worth knowing before you run it

• Price range is almost never there. Google's search answer carries it for very few places: 4 of 4,658 rows across our cloud runs. The field stays null rather than guessed, and SUMMARY says how many places had it.
• No reviews, images, popular times, Q&A or menus in this version. The row has the rating and the review count, not the reviews themselves.
• Residential proxy by default. Google answers some datacenter IPs with a capped list of about 20 places per view. On datacenter, a dense city came back with 196 to 635 places of 1,000 in our tests; residential returned 1,000. If you pick datacenter and Google caps it, the search is reported partial with the reason.
• A Google challenge stops the search. If Google answers with its unusual-traffic page or a consent page, the search is reported failed with the reason. The Actor never solves a challenge and never logs in.
• Emails depend on the website. In our Chicago restaurant run, 80.5% of websites were read and 27.2% carried an email; Berlin dentists reached 77% to 78%. Some sites refuse automated visits (84 HTTP 403 of 740 in Chicago, hotel and restaurant chains among them): the row says so in contactsError. Emails are the ones printed on the site, own domain first; a site can also print its web agency's or ordering platform's address, which is listed after.
• Google's answer has a ceiling per view (about 120 to 170 places). The Actor splits the area into smaller views to go past it; when a view is still full at the smallest split, the search says partial.

How it compares with the leader

The most used Google Maps scraper on Apify is compass/crawler-google-places (39,329 monthly users, 97.1% of 3.88 million runs succeeded in 30 days, read from its public Store data on 2026-10-05). Its prices come from its pricingInfos in the Apify API, FREE tier, read the same day; our figures are our own Apify cloud runs of 2026-10-05.

	compass/crawler-google-places	This Actor
Price per 1,000 places with opening hours, review count and contacts	$8.00 (place $4.00, details add-on $2.00 needed for opening hours and review count, contacts add-on $2.00)	$1.50, everything included
Each filter	$1.00 per 1,000 places	free
Opening hours and review count	details add-on	in every row (week of hours on 82% to 92%, review count on 87% to 96%)
Places outside the area	15 geography issues in its last 6 months ("outside of the defined location boundary")	dropped before the charge, against the area's real boundary
Duplicates across overlapping areas	charged ("I lost $143", one of its issues)	once per run: 0 duplicates in 6,000 rows of 1,000-place runs
Locations per run	one	up to 50 locations times 50 search terms, plus drawn areas
Why an email is missing	not said per row	contactsStatus and contactsError on every row
Price range	offered	rare (4 of 4,658 rows), never estimated
Reviews, images, popular times, Q&A	add-ons	not in this version
Run time for 1,000 places	not published	230 to 346 s
Success rate	97.1% of 3.88 million runs	not measurable until published

How much does it cost to scrape Google Maps?

Pay per event, no subscription, platform usage included. You pay per place returned:

Event	Price
Place, with opening hours, review count and (when asked) emails and social profiles	$1.50 per 1,000 places ($0.0015 per place)

Examples:

• 1,000 restaurants in Chicago with contacts: $1.50.
• The prefilled run (20 dentists in Lyon): $0.03.
• A place outside the area, a duplicate, a place dropped by a filter or anything past your maximum is never charged.
• Apify's free plan includes $5 of monthly usage (apify.com/pricing), enough for about 3,300 places a month.

Set a maximum cost per run in the run options and the Actor stops cleanly when it is reached.

Use the Actor through the Apify API

Run it and get the places in one HTTP call (replace YOUR_APIFY_TOKEN, from Settings > API & Integrations in Apify Console):

curl -X POST "https://api.apify.com/v2/acts/agenttoolworks~google-maps-places-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"searchTerms": ["dentist"], "locations": ["Lyon, France"], "maxPlacesPerSearch": 50}'

Node.js, with the official apify-client:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('agenttoolworks/google-maps-places-scraper').call({
    searchTerms: ['coworking'],
    locations: ['Berlin, Germany'],
    maxPlacesPerSearch: 200,
    scrapeContacts: true,
});
const { items: places } = await client.dataset(run.defaultDatasetId).listItems();
console.log(places.map((p) => [p.name, p.phone, p.website, p.emails[0] ?? null, p.rating]));

Python, with the official apify-client:

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("agenttoolworks/google-maps-places-scraper").call(
    run_input={"searchTerms": ["plumber"], "locations": ["Manchester, UK"], "maxPlacesPerSearch": 500}
)
for place in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(place["name"], place["phone"], place["rating"], place["reviewsCount"])

The API tab on this page has ready-made snippets for every language and endpoint.

FAQ

Do I need a Google account or a Google Maps API key?

No. The Actor reads what Google Maps shows a logged-out visitor. It uses no account, no cookies and no API key.

Can I get more than 120 results from Google Maps?

Yes. Google stops at about 120 to 170 places per map view; the Actor cuts the area into smaller views and splits every view that comes back full. 1,000 restaurants in Lyon, Berlin dentists and Chicago restaurants each came back in full in our cloud runs.

Does it return emails?

Yes, with Emails and social profiles from websites on, at no extra cost: it reads each place's homepage and, if no email is there, up to three contact, imprint or about pages the site links. Every row says whether the website was read and, if not, why.

How fast is it?

Measured on Apify, 2026-10-05: 1,000 places in 230 to 346 seconds, contacts included; 100 dentists in Berlin with contacts in 55 seconds.

Can I search several cities in one run?

Yes: up to 50 locations and 50 search terms per run. Each term is searched in each location, and a place found twice is returned and charged once.

Can I search an exact area?

Yes: draw it as GeoJSON in customGeolocation (a polygon, or a point with a radius in km).

Can I use it with Make, Zapier, n8n or Google Sheets?

Yes, through Apify's integrations: the dataset works with every Apify integration, and a webhook can fire when a run finishes. Save your input as a task and schedule it.

Can AI agents use it through MCP?

Yes. Apify's hosted MCP server exposes Store Actors to MCP clients such as Claude or Cursor: https://mcp.apify.com?tools=agenttoolworks/google-maps-places-scraper.

Is it legal to scrape Google Maps?

The Actor reads public business listings that Google Maps shows any visitor, on paths Google's robots.txt allows, without logging in and without solving any challenge. Google's Maps terms restrict bulk downloads and building business-listing databases, and how you use the data is your responsibility. Contact data is personal data when it names a person (a sole trader's email, for example): you are the controller of what you do with it. In the EU, the GDPR requires you to inform people whose data you collected this way (Article 14) at the latest at your first contact, and to respect objections.

Something is missing or broken?

Open an issue in the Issues tab: we read every one.

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• Facebook Ad Library Scraper: ads from the Meta, Google and Microsoft ad libraries in one table.
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• Job Scraper for Greenhouse, Lever, Ashby & Workable (JobsRadar): open roles from the public boards of seven applicant tracking systems, deduplicated into one list.
• Google Trends Scraper: interest over time, by region and related queries for terms and comparisons, plus each country's Trending now list.

Learn more

• What this Google Maps scraper returns, and how it compares
• How to scrape Google Maps: the request Google's own page makes, its cap, and what we measured

Boundaries: Data © OpenStreetMap contributors. Built by AgentToolWorks. Not affiliated with Google.