Google Maps Data Scraper
Scrape all the data from Google Maps. It only takes 6 minutes to sign up and start extracting.
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Columns names and descriptions for Google Maps.
- name - name of the place on Google Maps.
- site - website of the place.
- type - the type of the place under which it was found (can be any element from subtypes).
- subtypes - all types of the place.
- category - the main type of the place (sometimes might be in a local language).
- phone - place phone number.
- full_address - full address of the place location.
- borough - borough of the place location.
- street - street of the place location.
- city - city of the place location.
- postal_code - postal code of the place location.
- state - state of the place location.
- us_state - state of the place location (will be removed in future versions).
- country - country of the place location.
- country_code - country code of the place location.
- latitude - latitude of the place location.
- longitude - longitude of the place location.
- time_zone - timezone of the place location.
- plus_code - location plus code or open location code (works only for individual search, e.g. query: "Hotel Colombo Berat", "0x3e49a63f6b05fe3b:0xc73d6b1f31b2ccc8").
- rating - rating of the place.
- reviews - number of reviews
- reviews_link - link to the place's reviews.
- reviews_per_score - JSON object with reviews per score.
- photos_count - number of photos from the place.
- photo - image link of the place.
- street_view - image link of the place street view.
- working_hours - JSON object with working hours of the place.
- working_hours_old_format - working hours of the place.
- popular_times - popular time of the place (works only for individual search, e.g. query: "Hotel Colombo Berat", "0x3e49a63f6b05fe3b:0xc73d6b1f31b2ccc8").
- business_status - current status of the business.
- about - extra information about the place (e.g. Identifies as women-owned, LGBTQ+ friendly).
- description - place description.
- range - price range of the place.
- posts - JSON object with posts from the place (works only for some places).
- verified - indicates if the place was claimed.
- owner_id - unique identifier of the place owner.
- owner_title - title of the owner's profile page.
- owner_link - link to owner profile on Google Maps.
- reservation_links - link to make reservation.
- booking_appointment_link - link to book appointment.
- menu_link - link to menu.
- order_links - link to place an order.
- location_link - link to the place on Google Maps.
- place_id - unique identifier of the place (Google might update it a couple of times per a year).
- google_id - unique identifier of the place, also known as Feature ID (Google might update it a couple of times per a year).
- cid - multi platform ID of a listing in Google ecosystem.
- reviews_id - unique identifier of the places' reviews.
- domain - website domain.
- email_1 - the first email found associated with the place.
- email_2 - the second email found associated with the place.
- email_3 - the third email found associated with the place.
- facebook - link to the facebook page.
- instagram - link to the instagram page.
- twitter - link to the twitter page.
- linkedin - link to the linkedin page.
- youtube - link to the youtube page.
- phone_1 - first phone found from the website.
- phone_2 - second phone found from the website.
- phone_3 - third phone found from the website.
- website_title - title of the website (meta tag).
- website_generator - the platform the website is built on.
- website_description - description of the website (meta tag).
- website_keywords - keywords from the website (meta tag).
- website_has_fb_pixel - shows if FB pixel was found.
- website_has_google_tag - shows if Google Tagmanager code was found.
Guides on How to Scrape Maps
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Most frequent questions and answers
Google Map scraping, harvesting, or extracting is a process of getting all the information about places (name, address, coordinates, site, phone, working hours, etc.) from the Google Maps site. It automates manual exporting of the data.
Scraping and extracting of public data is protected by the First Amendment of the United States Constitution.
- Login to Google Maps scraper.
- Select categories you want to extract.
- Select locations from the dropdown.
- Select language and check other advanced parameters.
- Click “Scrape data”.
Data from Google Maps can be used in many fields. The most common case is prospecting new customers for your business or using the data for AI and Machine learning. Google Places data also can be a source for building your application.
We’re extracting only publicly available data, and the scraper works as a browser for data scientist, developers, and marketers.
The mechanism to guarantee PII-free data is to select what columns you want to return.