Google Maps Scraper

Google Maps Scraper extracts business listings from Google Maps by keyword and location. Give it a search like "coffee shops in Berlin" and get back clean, structured records with names, addresses, phone numbers, websites, ratings, review counts, categories, coordinates, and opening hours. No proxies to configure, no login, no blocks to fight, and nothing to maintain.

What data can you extract from Google Maps?

Search any keyword and location and get one structured record per business:

Field	Description
name	Business name
original_title	Untranslated business name, when Google localized the name
address	Full address
address_info	Structured address (street, city, zip, region, country)
phone	Phone number
website	Website URL
domain	Website domain
contact_url	Contact, menu, or appointment link on Google Maps, when available
contributor_url	Google Maps contributor profile of the listing's main contributor
rating	Star rating
reviews_count	Number of reviews
rating_distribution	Count of ratings per star (1 to 5)
hotel_rating	Hotel star rating, for hotels
category	Primary category
additional_categories	Secondary categories
category_ids	Google category identifiers (stable, language-independent)
price_level	Price level (inexpensive to very expensive)
latitude, longitude	GPS coordinates
place_id, cid, feature_id	Google place identifiers
hours	Opening hours by day
status	Whether the place is open now
is_claimed	Whether the owner has claimed the listing
is_directory_item	Whether the result is a directory entry rather than a single business
book_online_url	Reservation or booking link, when available
total_photos	Number of photos on the listing
main_image	Main photo URL
local_justifications	Google's "why this result" match justifications, when present
rank, rank_group	Position in the results (overall and within its group)

How do I scrape Google Maps?

1. Enter a search query, for example "coffee shops", "plumber", or "dentist".
2. Set a location, for example "New York, United States" or "Berlin, Germany".
3. Choose how many businesses you want back (1 to 700).
4. Run the actor. Results appear in the dataset, ready to fetch via the Apify API.

Input

Field	Required	Description
query	Yes	What to search for on Google Maps
location	No	City, region, or country. Defaults to United States
locationCoordinate	No	Search around a point: "latitude,longitude,zoom" (e.g. "40.7128,-74.0060,14z"). Overrides location
languageCode	No	Two-letter language code, e.g. "en", "fr", "de" (default "en")
maxResults	No	How many businesses to return, 1 to 700 (default 20)

You get back exactly the number of businesses you ask for when they are available. Ask for 5 and you get 5, even when the area has more.

Free filters

Narrow the results at no extra cost. Filters apply to the whole search, up to the number of businesses you asked for, so a strict filter over 700 results really does look at all 700. Filtering itself is always free:

Field	Description
minRating	Only businesses with at least this star rating (0 to 5)
requireWebsite	Only businesses that have a website
skipClosed	Exclude closed or permanently closed businesses
exactMatch	Only businesses whose name contains your exact search text
category	Only businesses whose category matches this text

Find businesses that got a bad review recently

recentBadReviewMaxRating (1 to 4) plus recentBadReviewPeriod returns only the businesses that received a review at or below that rating inside the period. Set the rating to 1 and the period to 6 months and you get the businesses that took a 1-star review in the last six months, which is the list reputation agencies prospect from.

recentBadReviewPeriod	Meaning	Cost
3m / 6m / 12m / 24m	Got a bad review inside that window	Reads reviews (paid)
all	Ever got a bad review	Free

all is free because the Google Maps search already returns each business's count of reviews per star rating. That count is complete, so "has ever been rated 1 star" is answered without reading a single review, and more accurately than sampling the most recent ones.

The dated periods cost money because that same count says how many 1-star reviews exist but never when they were left. Only the reviews carry a date, so those periods switch the reviews add-on on by themselves at 10 reviews per business. Two things follow, both stated on the input page:

• Businesses that have never been rated that low are discarded first, for free, so we only pay to read the reviews of real candidates.
• You are billed for the reviews we read, not only for the businesses that end up matching. Reading is what identifies a match. A search of 100 businesses where 60 have ever taken a 1-star bills reviews for 60 and may return 9.

For dated periods we read only the bad reviews, and all of them, never a sample of the newest few. The same free per-star count that powers all says how many reviews sit at or below your threshold, so a business with 8 reviews of 2 stars or fewer has all 8 read. A business whose only 2-star review is the 150th most recent is still found. Only businesses with more than 200 bad reviews are sampled.

The filter combines with the reviews add-on: set maxReviews as well and every business that matches comes back with its reviews attached, billed once.

Periods are deliberately coarse. Many Google reviews carry only a relative date ("a month ago"), which answers "last 3 months" cleanly and "the last 47 days" not at all, so we read those relative dates rather than discard the reviews that have them.

Output

Each business is one record in the dataset:

{
  "name": "Blue Bottle Coffee",
  "address": "66 Mint St, San Francisco, CA 94103",
  "address_info": { "address": "66 Mint St", "city": "San Francisco", "zip": "94103", "region": "California", "country_code": "US" },
  "phone": "+14156535228",
  "website": "https://bluebottlecoffee.com",
  "domain": "bluebottlecoffee.com",
  "rating": 4.5,
  "reviews_count": 1243,
  "rating_distribution": { "1": 20, "2": 15, "3": 60, "4": 300, "5": 848 },
  "category": "Coffee shop",
  "additional_categories": ["Cafe", "Espresso bar"],
  "price_level": "moderate",
  "latitude": 37.7825,
  "longitude": -122.4072,
  "place_id": "ChIJ...",
  "cid": "987654321",
  "hours": { "monday": [{ "open": { "hour": 7 } }] },
  "status": "open",
  "is_claimed": true,
  "is_directory_item": false,
  "book_online_url": "https://www.google.com/maps/reserve/...",
  "total_photos": 342,
  "main_image": "https://lh3.googleusercontent.com/...",
  "category_ids": ["coffee_shop", "cafe"],
  "feature_id": "0x8085808:0xabc123",
  "contributor_url": "https://maps.google.com/maps/contrib/1142866417270639...",
  "rank": 1,
  "rank_group": 1
}

With the Business leads add-on on, each business also carries a leads array (and each lead an email + email_status when the Lead emails add-on is on):

{
  "name": "Neon Ambition",
  "domain": "neonambition.com",
  "leads": [
    {
      "full_name": "Jordan Slover",
      "title": "Founder",
      "seniority": "founder",
      "department": "c_suite",
      "linkedin_url": "https://www.linkedin.com/in/jordanslover",
      "company_name": "Neon Ambition",
      "company_industry": "advertising services",
      "company_employee_count": 16,
      "email": "jordan@neonambition.com",
      "email_status": "VALID"
    }
  ]
}

How much does it cost to scrape Google Maps?

Pay per business, with no subscription:

• $0.003 per business returned ($3 per 1,000). Higher Apify plans (Gold and up) pay $2 per 1,000.
• Minimum of 1 business per 100 results scanned. Running the search costs us money whether or not your filters keep anything, so every search has a small floor. It only shows up when a filter throws almost everything away: ask for 700 and get 3 matches, and you are billed 7 businesses ($0.021) instead of 3. A search with no filters always bills exactly what you receive.

A search that returns 20 businesses costs 20 x $0.003 = $0.06, and scraping 1,000 businesses is $3.00. A search that returns nothing still charges for one business. Failed searches are free.

Paid add-ons

Optional extras, billed only when you turn them on:

• Reviews ($0.0008 per review, dropping to $0.0005 on higher Apify plans). Set "Reviews per business" to also pull Google reviews for each result, with review text, rating, author, author avatar, date, the photos the reviewer attached, and the owner's reply. Each business with reviews enabled bills a minimum of about 3 reviews (about $0.0024) even if it has fewer, because the reviews lookup runs and bills regardless. A search of 20 businesses with 10 reviews each adds about 20 x 10 x $0.0008 = $0.16.

• Business leads ($0.006 per lead found). Set "Maximum leads per place" to also find decision-maker contacts at each business — full name, job title, seniority, department, LinkedIn profile, and company data (industry, employee count). Filter by seniority (owner, founder, C-suite…) and department. The number is per place found: 5 leads across 200 places attempts up to 1,000 leads. You are only charged for leads actually found; businesses with no website, and leads not found, are free. Works only when a business has a website.

• Lead emails ($0.006 per email found). Turn on "Find lead emails" to also find and verify each lead's work email (with a VALID/INVALID status). This requires "Maximum leads per place" above 0 — there is no email to find without first finding the person. You are only charged for emails successfully found; not-found emails are free.

Leads appear under a leads array on each business. A search of 50 places (with websites) finding ~2 leads each is about 100 x $0.006 = $0.60 for leads; adding emails found for ~70 of them adds about 70 x $0.006 = $0.42.

Limits and how it handles them

• Up to 700 businesses per search. For a bigger market than one query can cover, vary the location or narrow the query.
• A location is required for good results. If you leave it empty, the search defaults to the United States.
• You get exactly maxResults businesses. If you ask for fewer than the area has, we return and bill for only what you asked; if the area has fewer, you get what exists.

Use it with AI agents and MCP

Like any Apify actor, Google Maps Scraper can be called from the Apify API and used as a tool by AI agents and MCP clients. An agent can run it to pull fresh local-business data on demand, then feed the structured records straight into its workflow.

Use cases

• Generate qualified leads. Build prospect lists of local businesses with names, websites, and phone numbers for your sales team.
• Track competitors by area. See where competitors operate and how they are rated across any city or region.
• Run market research. Measure how saturated a market is, find service gaps, and benchmark local businesses by rating and reviews.

Google Maps Scraper vs the official API vs cookie tools

	Google Maps Scraper	Official Google Places API	Browser or cookie tools
Setup	Query + location, run	API key, billing account, quotas	Install extension or manage a browser
Proxies / blocks	Handled for you	Not applicable	You manage them
Cost model	Pay per business returned	Per request, with field-based tiers	Your time and infrastructure
Bulk friendly	Yes, up to 700 per search	Rate-limited and quota-capped	Manual and slow
Maintenance	None	Key and quota management	Breaks when the site changes

FAQ

Is there an official Google Maps API? Yes, the Google Places API. It requires a billing account, API key, and works per request with field-based pricing. This actor gives you the same core business data with a simpler input and per-result pricing.

Is it legal to scrape Google Maps? Scraping publicly available business information is widely used for lead generation and market research. You are responsible for how you use the data and for complying with applicable laws and terms.

How many businesses can I get per search? Up to 700 per search. To cover a bigger market, run several searches with different locations or narrower queries.

Do I need a Google account or login? No. There is no login, no cookies, and no proxy setup.

Disclaimer

This actor extracts publicly available business information from Google Maps. Use it in compliance with applicable laws and the terms of the services involved. It is not affiliated with or endorsed by Google.