Local Businesses Extractor

Scrape business information from Google Maps into CSV/XLSX files.

Demo Extraction

Google Maps places - real estate agency Scraped Google Maps data
xlsx
real_estate_agency_rome.xlsx

Pricing Plans

No monthly fees. Pay as you go only for the records you extracted.

Free Tier

Usage before 500 businesses
$0
  • Free for the first 500 businesses (places)
  • CSV/Excel/Parquet/JSON
  • Enrichments

Business Tier

Usage after 100,000 businesses
$1/1,000 records
  • Price per 1k records for the usage after 100k businesses (places)
  • CSV/Excel/Parquet/JSON
  • Advanced filters
  • Enrichments
  • API access
  • Unlimited
Results Guarantee
We provide a complete refund within 3 days of your purchase if Outscraper's tools fail to retrieve data from the web.
Is It Legal to Scrape Data?
Scraping and extracting of public data is protected by the First Amendment of the United States Constitution.

In fact, big search engines companies are getting a big part of their data by scraping thousands of public websites.

Data Dictionary

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 searches, e.g. query: “Hotel Colombo Berat”, “0x3e49a63f6b05fe3b:0xc73d6b1f31b2ccc8”, learn more).
  • area_service – shows if the place is service without a physical location.
  • 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.
  • reviews_tags – most common review tags (works only for individual searches, e.g. query: “Hotel Colombo Berat”, “0x3e49a63f6b05fe3b:0xc73d6b1f31b2ccc8”, learn more).
  • photos_count – number of photos from the place.
  • photo – image link of the place.
  • street_view – image link of the place street view.
  • located_in – name of the parent place where it’s located (works only for individual searches, e.g. query: “Hotel Colombo Berat”, “0x3e49a63f6b05fe3b:0xc73d6b1f31b2ccc8”, learn more).
  • 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 searches, e.g. query: “Hotel Colombo Berat”, “0x3e49a63f6b05fe3b:0xc73d6b1f31b2ccc8”, learn more).
  • business_status – current status of the business.
  • about – extra information about the place (e.g. Identifies as women-owned, LGBTQ+ friendly).
  • description – place description (works only for individual searches, e.g. query: “Hotel Colombo Berat”, “0x3e49a63f6b05fe3b:0xc73d6b1f31b2ccc8”, learn more).
  • range – price range of the place.
  • posts – JSON object with posts from the place (works only for some places, learn more).
  • 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 (works only for individual searches, e.g. query: “Hotel Colombo Berat”, “0x3e49a63f6b05fe3b:0xc73d6b1f31b2ccc8”, learn more).
  • 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.
  • located_google_id – google_id of the parent place where it’s located (works only for individual searches, e.g. query: “Hotel Colombo Berat”, “0x3e49a63f6b05fe3b:0xc73d6b1f31b2ccc8”, learn more).

Additional data that might be added by applying Emails & Contacts Scraper enrichment (select it with UI or use the “domains_service” parameter with API). You can learn more about enrichments in this article.

  • 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 (WordPress, etc.).
  • 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.

API Docs

Use the data from your app. Check out the API Docs to see code examples.

Use Cases

Development

Use our API to build new apps. Integrate an unlimited amount of data into your existing platform.

Data Science

Build cutting-edge technologies with relevant data. Power data into your AI and Machine learning models.

Marketing & Lead Generation

Use Google Maps for prospecting new ​customers.

Why Scrape With Outscraper?

Reliability

Outscraper services are trusted by thousands of happy customers worldwide — from individuals to big enterprises.

Cutting-edge Technologies

Apply cutting-edge technologies to scraping in order to make sure you get exactly what you need.

Regular Updates

Our team keeps the software up to date so you can keep on scraping despite any site changes.

Speed

Access powerful servers placed in many locations to make sure you receive the data in time.​

Cloud Scraping

Avoid getting your IP compromised by scraping the data via Outscraper cloud servers.

Limitless

All extractions are handled by Outscraper's core which was specially designed to be able to handle millions of tasks simultaneously.

Try Outscraper for free with a monthly renewable Free Tier.

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What Clients Say?

Mihai Vinatoru
Mihai VinatoruManaging Partner
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Outscraper is providing fast and reliable data on Google Maps locations, in a simple and intuitive interface. The platform has advanced features, yet is user friendly enough. In the last 12 months, we used Outscraper to extract relevant public data regarding 120,000+ locations.
Juan G
Juan GPartner at Growth97
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As a Digital Marketing Consultancy, Outscraper has truly been a gamechanger for both our business and our clients. It has allowed us to reach new potential clients and deliver breath-taking ROI campaigns for our clients. Anyone considering using Outscraper I would strongly recommend using it
Travis Howell
Travis HowellResearcher
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Outscraper has been much easier to use than other alternatives, and it has provided me with some great information. Their customer service has been helpful too when I've needed it.
Alex Crivion
Alex CrivionEnvapreneur
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Outscraper is the best API service I’ve ever had to discover by pure luck (in an article from Medium.com) - was seeking something like this since 2019 and this platform is the only one actually working and doing the job.
Silvia
SilviaS1-BRANDING Universitas Prasetiya Mulya
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Thank you very much for your reply and help! If you don't mind please deliver my thanks to the developer team. I hope you all thrive!
Piyush
PiyushCEO
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Thank you so much for providing a brilliant platform “Outscraper” to find a huge amount of data in a few minutes, also, thanks for boosting my sales
Nate Lile
Nate LileEntrepreneur
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I've been testing and using Outscraper for a few weeks now. I'm incredibly happy with their current offerings and I'm looking forward to them adding more public sources. Its stupid easy to use and so affordable. Thanks guys!
Russell Hesse
Russell HesseCMO
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What an awesome tool for getting marketing lead prospects. It's much faster than the estimates they give when doing a scrape. (It's always good to under-promise & over-deliver to your customers)...
Ashish Kumar
Ashish KumarData analyst and front-end designer
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This service has been extremely helpful for me. Apart from their super fast API for various services, their amazing support is something that would make you go back to them. Dana from Outscraper team had helped me tirelessly for 3 days when I got into an issue and the dev team even made a spot update in their SDK package to suit my requirements. Highly recommended!
Dion Kenney
Dion KenneyCOO of Mondofora
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I wish I had found it sooner. I've been manually collecting data from Google Maps for the past 15 months! The first search produced more usable data in 20 minutes than my 15 months did altogether.
 Ian Mason
Ian MasonCTO
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Outscraper is the best scraper I've found. I cannot believe how well it works, how much data I get back, with no errors or headaches. I can make any directory site I want now
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Our Clients

Trusted by thousands of happy customers worldwide.

Contact Us

Questions, special needs, issues... Always happy to hear from you.

FAQ

Most frequent questions and answers
  1. Login to Google Maps scraper.
  2. Select categories you want to extract.
  3. Select locations from the dropdown.
  4. Select language and check other advanced parameters.
  5. Click “Scrape data”.