Google Maps Scraper - Places, Business Leads, Emails & Contacts

Disclaimer: This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Google LLC or any of its subsidiaries. All trademarks mentioned are the property of their respective owners. "Google Maps" is referenced only to describe the publicly available website this Actor collects data from.

Extract complete Google Maps business & place data at scale - name, category, full address, phone, website, rating, opening status, coordinates, photos and attributes - for any search term and location. Then optionally turn every place into a ready-to-contact B2B lead by crawling its own website for emails, phone numbers and social profiles, with a 0–100 lead score on every record.

No API key, no login, no browser - fast JSON extraction straight from Google Maps' own data feed. Every standard field and every filter is included in the place price; review counts + full weekly hours and website contacts are two clear opt-ins. Searches are centred on the place you name, addresses are split into city / region / postal code in every country, big cities are scanned map tile by map tile for more places than one search shows, and rows are saved as each search finishes.

Why this Google Maps scraper?

This actor puts every standard field in one place record and keeps the extras to two clear opt-ins: place details (total review count + full weekly hours) and website contacts (emails, social profiles, phones):

Data	This actor
Name, category, full address, city/state/ZIP, country	✅
Phone (formatted + E.164), website, domain	✅
Rating, open/closed status, today's hours	✅
Latitude / longitude, plus code, neighborhood	✅
Place ID, CID, FID, Knowledge-Graph ID	✅
Business attributes (accessibility, service options…)	✅
Photos / image URLs	✅
Total review count + full Mon–Sun opening hours	✅ opt-in, in any language
Contact emails (from the business website)	✅ opt-in, lead price only when contacts are found
Facebook / Instagram / LinkedIn / X / YouTube / TikTok	✅ included with contacts
Results centred on your location, far-away places left out	✅
City / region / postal code split correctly outside the US	✅
Look up places by place ID or Google Maps link	✅
More places than one search shows (the area is scanned map tile by map tile)	✅
Owner profile behind the listing (name + stable owner ID)	✅
Booking / reservation link (OpenTable, Resy, NexHealth, Vagaro… or Reserve with Google) + order-online link	✅
Business identity attributes (LGBTQ+ friendly, women-owned, veteran-owned…) + hotel check-in / check-out times	✅
Tagline, editorial summary, photo count, secondary hours	✅ opt-in
Lead score (0–100) per place	✅
Monitor mode - only new / changed places	✅
Pricing	flat place fee + 2 clear opt-ins

Use cases

• Local lead generation - pull every plumber, dentist, law firm, gym or restaurant in a city, enrich their website for emails and socials, and score them by contactability. Perfect for agencies, SaaS and B2B sales.
• Find businesses without a website - set the website filter to "without a website" to build a targeted list for web-design and marketing offers.
• Market & competitor research - map saturation, ratings and categories across neighbourhoods or whole metros.
• Data enrichment - resolve names/addresses to phone, website, coordinates and place IDs for your CRM.
• Recurring monitoring - schedule the actor with monitor mode to capture only places that are new to your search or have changed (phone, website, rating or address) in a city or category.

How to use

1. Sign up for Apify - the free plan is enough to try this actor.
2. Open the Google Maps Scraper, enter one or more search terms and a location, and click Start.
3. Rows are saved search by search, so the dataset fills while the run is going (a run stopped by its time limit or cost cap keeps everything it found; an aborted run keeps the rows already saved).
4. Export as JSON, CSV, Excel, XML, or RSS - or pull results programmatically via the Apify API.

Input

{
    "searchQueries": ["coffee shops", "dentist"],
    "locationQuery": "Austin, TX",
    "maxPlacesPerSearch": 120,
    "maxResults": 1000,
    "enrichContacts": true,
    "scrapePlaceDetails": true,
    "minRating": "4",
    "websiteFilter": "all",
    "sortBy": "leadScore"
}

• searchQueries - what to look for (categories, business types, or names). Each is combined with the location.
• locationQuery - city / area, e.g. Austin, TX, New York, NY, London, UK, Berlin, Germany. The map is centred on it and places far outside it are left out (and not charged). Add the region or country to ambiguous names (Portland, ME). Leave empty if you put the location in the search term (dentist in Houston, TX) or use coordinates / links. A location with no search term ends the run with a clear message and no charge.
• latitude / longitude / zoom (optional) - explicit search center instead of a location string.
• startUrls (optional) - Google Maps links: place links (including the app's "Share" links and this actor's own url values) are looked up as that business; search links (…/maps/search/<term>/@lat,lng,zoomz) run as a search of that map area.
• urlsFromFile (optional, "Import URLs from a file") - paste many links at once, or one link to a .txt/.csv file, Google Sheet or Drive file that lists them. If the file cannot be read, the run ends with a clear message and no charge.
• placeIds (optional) - look up specific businesses by place ID (ChIJ…), feature ID (0x…:0x…) or place link, one per line - handy for refreshing places you scraped before. If the form's example search (restaurants in Austin, TX) is still filled in, it is skipped when you give place IDs or links.
• maxPlacesPerSearch (default 120) - how many places to collect per search term. One Google search gives a limited list; set this higher (for example 500 or 2,000) and the actor pages each search to its end and then scans the area map tile by map tile, nearest the centre first, so a big city returns several times more places. maxResults still caps the whole run.
• maxResults (default 1000) - cap on the rows saved (after filtering).
• maxDistanceKm (default 0 = automatic) - leave out places farther than this from the location's centre. Automatic = a radius sized to the place you searched (at least 40 km).
• enrichContacts (default false) - crawl each place's website (home + contact/about) for emails, social profiles and phones. Google Maps never exposes emails - this is the only way to get them.
• scrapePlaceDetails (default false) - add the total review count, the full Monday–Sunday opening hours, a refined rating and a popular-times flag (hasPopularTimes is sparse: Google only includes popular-times data on some of its responses, so the flag appears on a minority of rows - a missing value means Google left it out of that call, not that the place has no busy hours). Fetched from Google Maps' own place data call over HTTP - about a second per place, so a 100-place run with details finishes in well under a minute.
• detailConcurrency (default 8, up to 16) - parallel place-detail requests when scrapePlaceDetails is on (plain HTTP, no extra memory needed).
• minRating / categoryFilterWords / websiteFilter / skipClosedPlaces / withPhoneOnly / withEmailOnly / nameQuery - filters.
• language (hl) / countryCode (gl) - localisation.
• sortBy - leadScore (default), rating, or distance (Google's own order). Rows are ordered within each saved batch (up to 150 rows, saved search by search); for one overall order, sort the exported file.
• monitorMode / monitorKey - emit only new / changed places across runs. The first run is the baseline: it saves up to maxResults and remembers everything else it scanned, so later runs deliver only places that were never seen before (plus changes to delivered ones).

Output

One record per place (type: "place"). reviewsCount, openingHours (full week, day names in English whatever the search language) and hasPopularTimes (sparse - see the input notes) are present when scrapePlaceDetails is on; emails / socialProfiles / contactPhones when enrichContacts is on, with enriched: true when the website gave an e-mail, a social profile or a phone number the listing does not already show, and enriched: false when it was checked and gave nothing new. Searches with a location also carry distanceKm (from the location's centre). city, state (the region outside the US) and postalCode come from Google's own structured address in every country. Empty fields are omitted, so exports never carry blank columns:

On every place, no add-on needed: ownerName and ownerId - the Google Business Profile that manages the listing (each location has its own; the ID is a stable key for that listing's profile, not a company-wide identifier). Where Google publishes one, you also get bookingUrl and bookingProvider - the booking or appointment page, either a third-party provider (OpenTable, Resy, NexHealth, Vagaro and similar) or Google's own Reserve with Google flow (bookingProvider: "google.com"); a link back to the place's own website is never reported as a booking link. Restaurants that take orders through Google also get orderOnlineUrl. identityAttributes carries Google's business-identity badges such as LGBTQ+ friendly or Identifies as women-owned, and hotels get checkInTime / checkOutTime.

With scrapePlaceDetails on, each place also gets tagline (Google's one-line descriptor, e.g. "Sharp venue for elevated American eats"), editorialSummary (Google's longer write-up), photoCount, reservationUrl, secondaryHours - named schedules a place keeps alongside its opening hours, such as Happy hours, Brunch or Kitchen - and locatedIn, the mall, airport, hospital or other venue the place sits inside ("Mall of America"), on places that are inside one. Places looked up by place ID carry locatedIn without the add-on.

How often these appear depends on the place and the category: owner details are on effectively every place, and booking links and identity badges on roughly half. Tagline and editorial summary are the norm on restaurants, bars and hospitality and thin out in other categories; secondary hours are rarer again, since most places keep a single schedule. A field is simply omitted when Google publishes nothing, so exports stay clean.

{
    "type": "place",
    "placeId": "ChIJm3f11RnLRIYRvuJG0P8_6bw",
    "cid": "13612481716647551678",
    "fid": "0x8644cb19d5f5779b:0xbce93fffd046e2be",
    "kgmid": "/g/11wqplhln0",
    "title": "BRB Coffee",
    "categoryName": "Coffee shop",
    "categories": ["Coffee shop", "Espresso bar"],
    "description": "Cozy neighbourhood coffee bar",
    "address": "3501 Guadalupe St, Austin, TX 78705",
    "street": "3501 Guadalupe St",
    "neighborhood": "North University",
    "city": "Austin",
    "state": "TX",
    "postalCode": "78705",
    "countryCode": "US",
    "latitude": 30.3012578,
    "longitude": -97.7386692,
    "plusCode": "8R29+QV Austin, Texas",
    "phone": "(614) 772-8409",
    "phoneUnformatted": "+16147728409",
    "website": "https://brbcoffee.com/",
    "domain": "brbcoffee.com",
    "totalScore": 4.8,
    "reviewsCount": 1284,
    "status": "Open · Closes 7 PM",
    "openNow": true,
    "hoursToday": "7 AM–7 PM",
    "openingHours": [
        { "day": "Monday", "hours": "7 AM–7 PM" },
        { "day": "Tuesday", "hours": "7 AM–7 PM" }
    ],
    "hasPopularTimes": true,
    "additionalInfo": { "Accessibility": ["Wheelchair accessible entrance"] },
    "imageUrl": "https://lh3.googleusercontent.com/…",
    "photoCount": 9,
    "ownerName": "BRB Coffee",
    "ownerId": "112304401891219815938",
    "identityAttributes": ["LGBTQ+ friendly"],
    "bookingProvider": "resy.com",
    "bookingUrl": "https://resy.com/cities/aus/brb-coffee",
    "reservationUrl": "https://resy.com/cities/aus/brb-coffee",
    "orderOnlineUrl": "https://www.google.com/searchviewer/42?cvd=…",
    "tagline": "Neighbourhood espresso bar with weekend brunch",
    "editorialSummary": "Compact North University coffee bar serving single-origin espresso, house pastries and a weekend brunch menu.",
    "secondaryHours": [
        { "name": "Brunch", "hours": [{ "day": "Saturday", "hours": "9 AM–2 PM" }] }
    ],
    "emails": ["hello@brbcoffee.com"],
    "socialProfiles": { "instagram": "https://instagram.com/brbcoffee" },
    "contactPhones": ["+16147728409"],
    "leadScore": 86,
    "url": "https://www.google.com/maps/place/?q=place_id:ChIJm3f11RnLRIYRvuJG0P8_6bw",
    "searchString": "coffee shops in Austin, TX",
    "scrapedAt": "2026-06-23T12:00:00.000Z"
}

Dataset views - alongside the raw table, the dataset ships four ready-made views you can switch between in the Storage tab or select through the API: Places & leads (the working lead list), Booking & reservations, Owner & business identity, and Place profile.

How much does it cost to scrape Google Maps?

This Actor uses Apify's pay-per-event pricing: you pay for the results it delivers and, from 26 October 2026, Apify's standard run-start fee, with no monthly rental. The events it can charge are:

• A place - one Google Maps place with all standard fields – name, categories, full address, phone, website, rating, today's hours, coordinates, plus code, photos, attributes. Filters and the area scan never cost extra, and places left out by a filter or the distance check are not charged.
• An enriched lead - a place whose own website gave at least one e-mail, social profile or phone number the Google listing did not already show, with a 0–100 lead score. Charged instead of the place fee, never on top of it. A website that gives nothing new is billed as a plain place.
• The place-details add-on - charged once per place when "Scrape place details" is on and Google returned the total review count or the full Monday–Sunday hours; places where neither could be read are not charged.
• Actor Start - from 26 October 2026, Apify's standard fee each time a run starts (one per GB of run memory, so one at the default 1 GB).

The current price of each event is shown on the Pricing tab of this page. Set a maximum total charge on the run if you want a hard cap on spend: the run stops at the cap and every saved row is billed, nothing beyond it. Use the input limits to control how much the Actor fetches.

Automate & schedule

Run this actor on autopilot and pull results into your own stack:

• Apify API - start runs, fetch datasets, and manage schedules over REST.
• apify-client for JavaScript and apify-client for Python - official SDKs.
• Schedules - run it hourly/daily/weekly to watch a city or category for new businesses; perfect for lead pipelines.
• Webhooks - trigger downstream actions (CRM import, Slack alert, email sequence) the moment a run finishes.

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'MY_APIFY_TOKEN' });

const run = await client.actor('scrapesage/google-maps-scraper').call({
    searchQueries: ['plumbers'],
    locationQuery: 'Phoenix, AZ',
    maxResults: 500,
    enrichContacts: true,
    websiteFilter: 'with_website',
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Got ${items.length} places & leads`);

Integrate with any app

Connect the dataset to 5,000+ apps - no code required:

• Make - multi-step automation scenarios.
• Zapier - push new leads straight into your CRM.
• Slack - get notified when a monitored search finds new places.
• Google Drive / Sheets - auto-export every run to a spreadsheet.
• Airbyte - pipe results into your data warehouse.
• GitHub - trigger runs from commits or releases.

Use with AI assistants (MCP)

The output is clean, LLM-ready JSON. Call this actor from Claude, ChatGPT, or any agent framework through the Apify MCP server - ask your assistant to "find the top-rated dentists in Austin with their phone and email" and let it run this scraper for you.

Agent-ready: autonomous payments (x402 & Skyfire)

This actor is agent-ready: AI agents can discover it, run it, and pay for it autonomously, with no Apify account and no human in the loop. It uses pay-per-event pricing and limited permissions, so it qualifies for Apify's agentic-payment standards:

• x402: an open, HTTP-native payment protocol. Agents pay per run in USDC on the Base network directly through the Apify MCP server, with no account and no API key.
• Skyfire: agent-to-service payments for fully autonomous AI-agent workflows.

Building an AI agent, MCP tool, or autonomous data pipeline? This scraper is ready to plug in and pay as it goes.

More scrapers from scrapesage

Build a complete local-business lead-gen stack:

• Google Maps Reviews Scraper - the review text, ratings, dates and owner replies for the places you find here (pass it this actor's place links).
• Website Contact Scraper - emails, phones & socials from any list of domains (pairs perfectly with this actor).
• Google Ads Transparency Scraper - see who's advertising what on Google.
• Facebook Ad Library Scraper - competitor ad intelligence.
• Bark Listing Scraper - service-provider leads from Bark.
• Thumbtack Scraper - home-service pro leads, reviews & hire data.
• BBB Scraper - Better Business Bureau profiles, ratings & accreditation.
• Eventbrite Scraper - events plus organizer leads with emails.
• LinkedIn Jobs Scraper - job postings as hiring-intent signals.

Tips

• Coverage: set maxPlacesPerSearch above 120 (for example 2,000) to get every place in a city: each search is paged to its end and the area is then scanned map tile by map tile. For a whole state or country, list its cities as separate searches.
• Find prospects who need a website: set websiteFilter to Only without a website.
• Cleaner leads: combine enrichContacts with withEmailOnly to keep only places that have a reachable email.
• Recurring monitoring: turn on monitorMode, give each saved search its own monitorKey, and pair it with a Schedule - after the first (baseline) run you only pay for places that are new or changed.
• Refresh places you already have: paste their url values (or place IDs) into Place IDs to fetch just those businesses again.
• Big runs: rows are saved search by search, so you can open the dataset while a long run is still going, and a run stopped by its time limit or cost cap keeps everything it found.
• Proxies: keep the default Apify Proxy; Google Maps responds cleanly through it.
• Cost control: the base search + contact enrichment is fast and cheap. Only turn on scrapePlaceDetails when you actually need review counts / full weekly hours - it adds one quick data request per place (about a second each, up to 16 in parallel) and the placeDetails event.

FAQ

How do I scrape Google Maps for a specific city? Put the city in locationQuery (e.g. Austin, TX) and your category in searchQueries (e.g. dentist). The actor centres the search on that location automatically.

How do I get more than 120 places per search? Set Max places per search higher (for example 500 or 2,000). One Google search shows a limited list, so the actor pages it to the end and then searches the area again in smaller map tiles, nearest the centre first, until it reaches your number or stops finding new places. You pay per place delivered; the scan itself has no extra fee.

Does it need a Google Maps / Places API key? No. It reads Google Maps' own public data feed - no API key, no quota, no billing account, and far more fields than the official Places API returns.

Where do the emails come from? Never from Google Maps (it doesn't publish them). With enrichContacts on, the actor visits each business's own public website and extracts publicly listed contact emails and social links - the same thing a human visitor would see. Placeholder addresses that website templates leave behind (such as info@mysite.com) are filtered out.

Does it work outside the US? Yes. The search is centred on the location you name (add the country for ambiguous names), places far outside it are left out, and the address is split into street, city, region and postal code from Google's own structured address in every country. Results come back in the language you choose (language).

Can I scrape specific places I already know? Yes - paste Google place IDs (ChIJ…), feature IDs, place links or this actor's own url values into Place IDs or Google Maps URLs; each is fetched directly as that business.

How do I get the review count and full weekly opening hours? Turn on scrapePlaceDetails. The actor fetches each place's own Maps data record (the same call the Maps app makes) over HTTP and merges the total review count, the complete Monday–Sunday hours and a refined rating onto the row - roughly a second per place, no browser involved.

Can I export to Google Sheets, CSV, or Excel? Yes - one click in the dataset view, or automatically on every run via the Google Drive integration.

How do I get only new businesses over time? Turn on monitorMode and run on a Schedule; the actor remembers what it has seen and emits only new or changed places.

Is scraping Google Maps legal? This actor collects publicly available data only. You are responsible for using the data in compliance with applicable laws (GDPR/CCPA for personal data) and Google's terms.

A field is missing on some records - why? Some places genuinely don't publish a website, phone or email. To keep exports clean, a field is simply omitted when it has no value (so CSV/Excel files never contain blank filler columns) - it's missing because the data doesn't exist, not because the scraper skipped it.

Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Google LLC or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.

"Google Maps" and any related marks are the property of their respective owners and are used here only in a descriptive, nominative sense - to identify the publicly accessible website from which this Actor collects data. This Actor is not an official Google Maps product, is not authorised or certified by Google LLC, and does not distribute Google Maps software. It collects only publicly available information; you are responsible for ensuring your use of that data complies with applicable laws, regulations and the terms of the source website.

Need help?

Open an issue on the actor's Issues tab, or visit the Apify help center. Feature requests are welcome - this actor is actively maintained.