Pricing

from $1.50 / 1,000 scraped places

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Google Maps Scraper

Try for free

Extract data from thousands of Google Maps locations and businesses, including reviews, reviewer details, images, contact info, including full name, email, and job title, opening hours, prices & more. Export data, run via API, schedule and monitor runs, or integrate with other tools.

Pricing

from $1.50 / 1,000 scraped places

Rating

4.7

(1822)

Developer

Compass

Actor stats

5.3K

Bookmarked

694K

Total users

48K

Monthly active users

3.4 days

Issues response

18 hours ago

Last modified

Categories

Lead generation

Travel

Features

🔍 Search term(s)

searchStringsArray

Optional

Type what you'd normally search for in the Google Maps search bar, like English breakfast or pet shelter. Aim for unique terms for faster processing. Using similar terms (e.g., bar vs. restaurant vs. cafe) may slightly increase your capture rate but is less efficient.

⚠️ Searching for a specific place? If you're looking for a particular business or location (e.g., M&M Indian Thai Halal Restaurant), make sure to also specify the city or country in the 📍 Location field below to get more accurate and reliable results. Without location context, Google Maps may return results from unexpected areas.

⚠️ Heads up: Adding a location directly to the search, e.g., restaurant Pittsburgh, can limit you to a maximum of 120 results per search term due to Google Maps' scrolling limit.

You can also use direct place IDs here in the format place_id:ChIJ8_JBApXMDUcRDzXcYUPTGUY. See the detailed description.

Type:string[]

Example:

[
  "restaurant"
]

📍 Location (use only one location per run)

locationQuery

Optional

Define location using free text. Simpler formats work best; e.g., use City + Country rather than City + Country + State.

🌍 You can just set the whole country or state as the location: Google Maps Scraper intelligently splits it into subregions internally, so there's no need to search city by city or neighborhood by neighborhood yourself.

Verify with the OpenStreetMap webapp for visual validation of the exact area you want to cover.

💡 Pro tip: Always specify a location when searching for specific place names in the 🔍 Search terms field above. This helps narrow down results to the geographic area you're interested in and prevents getting results from unrelated locations.

⚠️ Automatically defined City polygons may be smaller than expected (e.g., they don't include agglomeration areas). If you need to define the whole city area, head over to the 📡 Geolocation parameters* section instead to select Country, State, County, City, or Postal code.
For an even more precise location definition (especially when using City name as a starting point), head over to 🛰 Custom search area section to create polygon shapes of the areas you want to scrape. Note that 📍 Location settings always take priority over 📡 Geolocation* (so use either section but not both at the same time).

For guidance and tricks on location definition, check the Apify tutorial.

Type:string

Example:

New York, USA

💯 Number of places to extract (per each search term or URL)

maxCrawledPlacesPerSearch

Optional

Number of results you expect to get per each Search term, Category or URL. The higher the number, the longer it will take.

If you want to scrape all the places available, leave this field empty.

Type:integer

Minimum:1

Example:

🌍 Language

language

Optional

Results will be scraped in this language.

Type:string

Default:en

Example:

Options:

enafazidmsbscacsdadeeteses-419eufilfrglhrzuisitswlvlthunlnouzplpt-BRpt-PTrosqskslfisvvitrelbgkykkmkmnrusrukkahyiwurarfaamnehimrbnpagutateknmlsithlomykmkojazh-CNzh-TW

🎢 Place categories ($)

categoryFilterWords

Optional

You can limit the places that are scraped based on the Category filter; you can choose as many categories for one flat fee for the whole field. ⚠️ Using categories can sometimes lead to false negatives, as many places do not properly categorize themselves, and there are over 4,000 available categories which Google Maps has. Using categories might filter out places that you’d like to scrape. To avoid this problem, you must list all categories that you want to scrape, including synonyms, e.g., divorce lawyer, divorce attorney, divorce service, etc. See the detailed description.

Type:string[]

Example:

[
  "pizza",
  "italian"
]

Get exact name matches (no similar results) ($)

searchMatching

Optional

Restrict what places are scraped based on matching their name with provided 🔍 Search term. E.g., all places that have chicken in their name vs. places called Kentucky Fried Chicken.

Type:string

Default:all

Example:

all

Options:

allonly_includesonly_exact

Set a minimum star rating ($)

placeMinimumStars

Optional

Scrape only places with a rating equal to or above the selected stars. Places without reviews will also be skipped. Keep in mind, filtering by reviews reduces the number of places found per credit spent, as many will be excluded.

Type:string

Default:

Example:

Options:

twotwoAndHalfthreethreeAndHalffourfourAndHalf

Scrape places with/without a website ($)

website

Optional

Use this to exclude places without a website, or vice versa. This option is turned off by default.

Type:string

Default:allPlaces

Example:

allPlaces

Options:

allPlaceswithWebsitewithoutWebsite

⏩ Skip closed places ($)

skipClosedPlaces

Optional

Skip places that are marked as temporary or permanently closed. Ideal for focusing on currently open places.

Type:boolean

Default:false

Example:

false

Scrape place detail page ($)

scrapePlaceDetailPage

Optional

Scrape detail pages of each place the Actor finds. This will slow down the Actor since it needs to open another page for each place individually.

The fields available only when scrapePlaceDetailPage is enabled include: reviewsRemovedNotice, imageCategories, popularTimes fields, BusinessConfirmationText, peopleAlsoSearch, reviewsTags, updatesFromCustomers, questionsAndAnswers, tableReservationLinks, ownerUpdates and hotel fields.

⚠️ Note: Google shows some details mostly to logged-in users, so imageCategories, peopleAlsoSearch, popularTimes fields, updatesFromCustomers and most of additionalInfo are often missing.

This option needs to be enabled if you wish to use any of the options below.

Type:boolean

Default:false

Example:

false

Scrape table reservation provider data ($)

scrapeTableReservationProvider

Optional

Scrape table reservation provider data like name, address, email or phone. This data is present only in restaurants that have a blue "RESERVE A TABLE" button.

Type:boolean

Default:false

Example:

false

🛵 Scrape order online widget data ($)

scrapeOrderOnline

Optional

Scrape the 'Order online' section of restaurants to get pickup and delivery providers (Uber Eats, DoorDash, etc.), along with fees and estimated times.

Type:boolean

Default:false

Example:

false

🌐 Include "Web results" ($)

includeWebResults

Optional

Extract the "Web results" section located at the bottom of every place listing.

⚠️ Note: Google shows web results mostly to logged-in users, so they are often missing.

Type:boolean

Default:false

Example:

false

🛍 Scrape inside places (e.g. malls or shopping center) ($)

scrapeDirectories

Optional

Some places (e.g. malls) can have multiple businesses located inside them. This option will scrape inside the "Directory" or "At this place" as per different categories (example here). Turn this toggle on to include those places in your results.

⚠️ Note that full place details need to be scraped in order to scrape directories.

Type:boolean

Default:false

Example:

false

Number of questions to extract ($)

maxQuestions

Optional

Set the number of questions per place you expect to scrape. If you fill in 0 or leave the field empty, only the first question and answer will be scraped. To extract all questions, type 999 into the field.

⚠️ This returns personal data. You're responsible for having a legal basis to collect and use it under privacy laws.

Type:integer

Minimum:0

Default:0

Example:

⏩ Add-on: Company contacts enrichment (from website) ($)

scrapeContacts

Optional

Enrich Google Maps places with contact details extracted from the business website, including business emails and social media profiles (Meta, LinkedIn, X, etc.). Also returns Impressum (legal notice) contacts in the impressum field - see the section description.

⚠️ This returns personal data. You're responsible for having a legal basis to collect and use it under privacy laws.

We exclude contacts of big chains: mcdonalds, starbucks, dominos, pizzahut, burgerking, kfc, subway, wendys, dunkindonuts, tacobell.

Type:boolean

Default:false

Example:

false

🔍 Add-on: Social media profile enrichment ($)

scrapeSocialMediaProfiles

Optional

Enable enrichment for any social media profiles found. This add-on retrieves detailed public data for each profile, including profile names, follower/following counts, descriptions, post/video counts, and verification status.

⚠️ This returns personal data. You're responsible for having a legal basis to collect and use it under privacy laws.

You are charged a flat rate for the total number of profiles enriched, regardless of how many platforms (Facebook, YouTube, etc.) you select.

Feature dependency:
To use this feature, the Company contacts enrichment (from website) add-on is enabled automatically. This ensures the enriched social media data is combined with the main contact record for each domain.

Output: Enriched profiles are available in the Social profiles output view tab.

Type:object

Default:

{
  "facebooks": false,
  "instagrams": false,
  "youtubes": false,
  "tiktoks": false,
  "twitters": false
}

Example:

{
  "facebooks": false,
  "instagrams": false,
  "youtubes": false,
  "tiktoks": false,
  "twitters": false
}

⏩ Add-on: Extract business leads information - Maximum leads per place ($)

maximumLeadsEnrichmentRecords

Optional

Enrich your results with detailed contact and company information, including employee names, job titles, emails, phone numbers, LinkedIn profiles, and key company data like industry and number of employees.

This setting allows you to set the maximum number of leads records you want to scrape per each place found on the map (that has a website). By default, it's set to 0 which means that no leads information will be scraped.

⚠️ This returns personal data. You're responsible for having a legal basis to collect and use it under privacy laws.

We exclude leads of big chains as these are not related to the local places: mcdonalds, starbucks, dominos, pizzahut, burgerking, kfc, subway, wendys, dunkindonuts, tacobell.

Type:integer

Minimum:0

Default:0

Example:

Leads departments selection

leadsEnrichmentDepartments

Optional

You can use this filter to include only specific departments (like Sales, Marketing, or C-Suite). Note: This will only work if the ⏩ Add-on: Extract business leads information - Maximum leads per place (maximumLeadsEnrichmentRecords) option is enabled. Please note that some job titles are sometimes miscategorized in the wrong departments.

Type:string[]

Example:

[
  "sales",
  "marketing"
]

⏩ Add-on: Email verification ($)

verifyLeadsEnrichmentEmails

Optional

When enabled, verifies the email address of each lead extracted during business leads enrichment. Each lead receives an emailVerification object with the verification result and quality assessment.

Charged (decisive results): valid (ok), invalid, and disposable email addresses.
Not charged: catch-all, unknown, and error results.

⚠️ This add-on requires business leads enrichment to be enabled.

Type:boolean

Default:false

Number of reviews to extract ($)

maxReviews

Optional

Set the number of reviews you expect to get per place.

Please be aware that the Add-on: additional place details scraped charge applies to each place you scrape for reviews, as the Actor must access the detail page first. All prices are determined by your subscription plan.

To extract all reviews, set this to 99999. If left empty, no reviews will be scraped.

Each output place item can contain maximum 5,000 reviews so in case more reviews are extracted, a duplicate place is stored with the next 5,000 reviews and so on.
⚠️ Enabling this feature might slow the search down.

Type:integer

Minimum:0

Default:0

Example:

Only scrape reviews newer than [date]

reviewsStartDate

Optional

Either absolute date (e.g. 2024-05-03) or relative date from now into the past (e.g. 8 days, 3 months). JSON input also supports adding time in both absolute (ISO standard, e.g. 2024-05-03T20:00:00) and relative (e.g. 3 hours) formats. Absolute time is always interpreted in the UTC timezone, not your local timezone - please convert accordingly. Supported relative date & time units: minutes, hours, days, weeks, months, years.

⚠️ Heads up: If this parameter is specified, you must choose the 'Newest' sort by value. The reason for this is that with this parameter entered, the Actor stops scraping reviews as soon as it finds the first review that's older than the specified date. If the sorting is not set to 'Newest', it might encounter a review older than the specified date before it reaches the desired review count and not scrape the desired amount of reviews.

Type:string

Example:

2024-01-01

Sort reviews by

reviewsSort

Optional

Define how reviews are sorted.

Type:string

Default:newest

Example:

newest

Options:

newestmostRelevanthighestRankinglowestRanking

Filter reviews by keywords

reviewsFilterString

Optional

If you enter keywords, only reviews containing those keywords will be scraped. Google limits the filter to 500 bytes (fewer characters for non-Latin text). Leave it blank to scrape all reviews.

⚠️ Note: the filter is temporarily ignored, reviews come back unfiltered.

Type:string

Max. length:500

Default:

Example:

Reviews origin

reviewsOrigin

Optional

Select whether you want all reviews (from Google, Tripadvisor, etc.) or only reviews from Google.

Type:string

Default:all

Example:

all

Options:

allgoogle

🧛‍♂️ Include reviewers' data

scrapeReviewsPersonalData

Optional

This setting allows you to get personal data about the reviewer (their ID, name, URL, and photo URL) and about the review (URL). Note: review ID (reviewId) is always included regardless of this setting.

⚠️ This returns personal data. You're responsible for having a legal basis to collect and use it under privacy laws.

Type:boolean

Default:true

Example:

true

Number of additional images to extract ($)

maxImages

Optional

Set the number of images per place you expect to scrape.

Please be aware that the Add-on: additional place details scraped charge applies to each place you scrape for images, as the Actor must access the detail page first. All prices are determined by your subscription plan.

To extract all images, set this to 99999. If left empty, no images will be scraped. The higher the number, the slower the search.

⚠️ Note: Google shows image categories mostly to logged-in users. Without them, images come only from the "All" category, so you may get far fewer images than requested.

Type:integer

Minimum:0

Default:0

Example:

🧑‍🎨 Include the image authors

scrapeImageAuthors

Optional

Include the author name for each image.

⚠️ Enabling this toggle may slow down processing as it requires fetching information for each image individually.

⚠️ This returns personal data. You're responsible for having a legal basis to collect and use it under privacy laws.

Type:boolean

Default:false

Example:

false

Enable competitor analysis ($)

enableCompetitorAnalysis

Optional

When enabled, runs an AI-powered competitor analysis on the top scraped places and stores a report in the competitorAnalysis named dataset. The report includes a ranked comparison, per-place strengths/weaknesses analysis with review-backed claims, social media insights, and a strategic market overview.

⚠️ Best results with a single, focused search term. The analysis ranks and compares all collected places against each other, so they should all be in the same business category and market segment (e.g. italian restaurants Vienna). Using multiple search terms that span different categories (e.g. restaurants + coffee shops + hair salons) will produce a meaningless comparison. Multiple search terms are fine as long as they target the same segment (e.g. sushi restaurants NYC + japanese restaurants NYC).

⚙️ What gets charged when you enable this (for all scraped places, capped at 100 max):

($) Additional place details - for all places in the run.
($) Company contacts enrichment - for all places in the run (used to discover social media profiles).
($) At least 100 reviews - per place. Reviews provide sources and citations in the report. The AI uses the first 100 reviews for analysis; any extras are included in the output but not used for analysis.
($) Social media profile enrichment - for all places in the run.
($) Competitor analysis event - one per place.

Type:boolean

Default:false

Max competitors to analyze

maxCompetitorsToAnalyze

Optional

Total number of places to scrape and analyze, capped across all search terms combined. Capped at 100 - this directly bounds your total analysis cost, since every scraped place generates charges. Set to 0 to skip the analysis even if enableCompetitorAnalysis is on.

Type:integer

Minimum:0

Maximum:100

Default:30

Example:

🗺 Country

countryCode

Optional

Set the country, e.g., United States.

Type:string

Example:

Options:

usafaldzasadaoaiaqagaramawauatazbsbhbdbbbybebzbjbmbtbobabwbvbriobnbgbfbikhcmcacvkycftdclcncxcccokmcgcdckcrcihrcucyczdkdjdmdoecegsvgqereeetfkfofjfifrgfpftfgagmgedeghgigrglgdgpgugtgngwgyhthmvahnhuisinidiriqieilitjmjpjokzkekikpkrkwkglalvlblslrlyliltlumomkmgmwmymvmlmtmhmqmrmuytmxfmmdmcmnmemsmamzmmnanrnpnlanncnzninengnunfmpnoompkpwpspapgpypephpnplptprqarerorurwshknlcpmvcwssmstsasnrsscslsgsksisbsozagssseslksdsrsjszsechsytwtjtzthtltgtktotttntrtmtctvuguaaegbumuyuzvuvevnvgviwfehyezmzw

🌇 City

city

Optional

Enter the city, e.g., Pittsburgh.

⚠️ Do not include State or Country names here.

⚠️ Automatic City polygons may be smaller than expected (e.g., they don't include agglomeration areas).

Type:string

Example:

New York

State

state

Optional

Set a state, e.g., Massachusetts (mainly for the US addresses).

Type:string

Example:

New York

County

county

Optional

Set the county, e.g., New York County.

⚠️ Note that county may represent different administrative areas in different countries: a county (e.g., US), regional district (e.g., Canada) or département (e.g., France).

Type:string

Example:

New York County

Postal code

postalCode

Optional

Set the postal code, e.g., 10001.

⚠️ Combine Postal code only with 🗺 Country, never with 🌇 City. You can only input one postal code at a time.

Type:string

Example:

10001

🛰 Custom search area (coordinate order must be: [↕ longitude, ↔ latitude])

customGeolocation

Optional

Use this field to define the exact search area if other search area parameters don't work for you. See readme or the Apify guide for details.

Type:object

Example:

{
  "type": "Point",
  "coordinates": [
    -73.9857,
    40.7484
  ]
}

Google Maps URLs

startUrls

Optional

Max 300 results per search URL. Valid format for URLs contains https://google.com/maps/. This feature also supports uncommon URL formats such as: https://google.com/maps?cid=, https://goo.gl/maps/, and custom place list URL.

Type:object[]

Example:

[
  {
    "url": "https://www.google.com/maps/place/Yellowstone+National+Park/@44.5857951,-110.5140571,9z/data=!3m1!4b1!4m5!3m4!1s0x5351e55555555555:0xaca8f930348fe1bb!8m2!3d44.427963!4d-110.588455?hl=en-GB"
  }
]

🗃 Place IDs

placeIds

Optional

List of place IDs. Add them one by one or upload a list using the Bulk edit option. A place ID has the format ChIJreV9aqYWdkgROM_boL6YbwA - only 27-character IDs starting with ChIJ or GhIJ are supported.

Type:string[]

Example:

[
  "ChIJabcdEFGHijklMNOPqrstUVWX"
]

Scrape all places

allPlacesNoSearchAction

Optional

Extract all places visible on the map. A good zoom is chosen automatically based on the area size. If you want to override it, set zoom (a number from 1 to 21) in JSON input. Higher zoom will scrape more places but will take longer to finish. You can test what place pins are visible with a specific zoom by changing the 16z part of the Google Maps URL.

Type:string

Default:

Example:

Options:

all_places_no_search_ocrall_places_no_search_mouse

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