G-Businesses Extractor

Scrape Google businesses from Google Maps into CSV/XLSX files.

데모 추출

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

요금제

당신이가는대로 지불 월별 사용량 요금 청구.

프리 티어

Usage before 500 businesses
$0 /business
  • Free for the first 500 records (places)
  • CSV/XLSX export
  • Advanced filters
  • API access

Medium Tier

Usage after 500 businesses
$0.004 $0.002 /business
  • Price per each record for the usage from 501 to 50,000 businesses (places).
  • CSV/XLSX export
  • Advanced filters
  • API access

Business Tier

Usage after 50,000 businesses
$0.002 $0.001 /business
  • Price per each record for the usage after 50,000 businesses (places)
  • CSV/XLSX export
  • Advanced filters
  • API access
Money-Back Guarantee
Outscraper의 솔루션이 효과가 없는 경우 구매 후 3일 이내에 전액 환불을 제공합니다.
데이터 스크랩이 합법인가요?
공개 데이터의 스크랩 및 추출은 미국 수정 헌법 제1조에 의해 보호됩니다.

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 search, e.g. query: "Hotel Colombo Berat").
  • rating - rating of the place.
  • 리뷰 - 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 some places).
  • business_status - current status of the business.
  • about - extra information about the place.
  • 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 (no longer supported).
  • 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 (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.

Additional data that might be added by applying Emails Scraper Enrichment (select this enrichment in UI or use the "extractContacts" parameter in API ).

  • 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.
  • 페이스북 - link to the facebook page.
  • instagram - link to the instagram page.
  • 트위터 - link to the twitter page.
  • 링크드인 - link to the linkedin page.
  • 유튜브 - 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.
  • title - title of the website (meta tag).
  • generator - the platform the website is built on.
  • description - description of the website (meta tag).
  • keywords - keywords from the website (meta tag).
  • has_fb_pixel - shows if FB pixel was found.
  • has_google_tag - shows if Google Tagmanager code was found.

API 문서

앱의 데이터를 사용합니다. 체크 아웃 API 문서.

사용 사례

개발

API를 사용하여 새 앱을 빌드하세요. 무제한 양의 데이터를 기존 플랫폼에 통합합니다.

데이터 과학

관련 데이터로 첨단 기술을 구축합니다. AI 및 기계 학습 모델에 데이터를 제공합니다.

Marketing & Lead Generation

신규 고객을 발굴하려면 Google 지도를 사용하십시오.

Why Scrape With Outscraper?

신뢰할 수 있음

Outscraper services trusted by more than 5000 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 that was specially designed to be able to handle millions of tasks simultaneously.

Try Outscraper for free with a monthly renewable Free Tier.

outscraper-zapier-integration

자피어

Outscraper를 다른 앱에 연결하고 워크플로를 자동화하십시오.
HubSpot 통합으로 CRM 데이터 강화

What Clients Say

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Outscraper는 간단하고 직관적인 인터페이스로 Google 지도 위치에 대한 빠르고 안정적인 데이터를 제공합니다. 플랫폼에는 고급 기능이 있지만 사용자 친화적입니다. 지난 12개월 동안 우리는 Outscraper를 사용하여 120,000개 이상의 위치에 관한 관련 공개 데이터를 추출했습니다.
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실비아
실비아S1-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!
피유시
피유시최고 경영자
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몇 분 안에 엄청난 양의 데이터를 찾을 수 있는 훌륭한 플랫폼 "Outscraper"를 제공해주셔서 감사합니다. 또한 Boost my sales에 감사드립니다 😊
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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!
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!
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.
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.
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자주하는 질문

가장 자주 묻는 질문과 답변

G-Businesses extractor or Google Businesses extractor is an online tool that helps scrapping companies from Google Maps into CSV/XLSX files.

  1. 로그인 Google 지도 스크레이퍼.
  2. 추출할 카테고리를 선택하세요.
  3. 드롭다운에서 위치를 선택합니다.
  4. 언어를 선택하고 다른 고급 매개변수를 확인하십시오.
  5. "데이터 스크랩"을 클릭하십시오.

Data from the Google Maps site can be used in many ways. The most common way is to use emails, phone numbers, and businesses information for marketing.

  • name – name of the place on Google Maps.
  • site – website of the place.
  • type – the type of the place under which it was found.
  • subtypes – all types of the place.
  • category – the main type of the place.
  • 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 (Open Location Code).
  • rating – rating of the place.
  • 리뷰 – 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 some places).
  • business_status – current status of the business.
  • about – extra information about the place.
  • 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 (no longer supported).
  • 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_id – unique identifier of the place.
  • reviews_id – unique identifier of the places’ reviews.

Additional data that might be added by applying Emails Scraper Enrichment (select this enrichment in UI or use the “extractContacts” parameter in API ).

  • domain – website domain (if exists).
  • email_1 – first email found from the website (if found).
  • email_2 – second email found from the website (if found).
  • email_3 – third email found from the website (if found).
  • 페이스북 – link to the place facebook page (if found).
  • instagram – link to the place instagram page (if found).
  • 트위터 – link to the place twitter page (if found).
  • instagram – link to the place instagram page (if found).
  • 링크드인 – link to the place linkedin page (if found).
  • 유튜브 – link to the place youtube page (if found).
  • phone_1 – first phone found from the website (if found).
  • phone_2 – second phone found from the website (if found).
  • phone_3 – third phone found from the website (if found).
  • title – title of the website (meta tag, if exists).
  • generator – the platform the website is built on (if found).
  • description – description of the website (meta tag, if exists).