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Google Map Scraping

Unlock the power of location-based data with Google Map Scraping, a game-changing solution for businesses looking to optimize operations, target customers, and gain competitive insights.

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What is Google Map Scraping and How Does It Work?

Google Map Scraping involves using specialized software or programs to extract valuable information from Google Maps. This automated process retrieves critical data such as:

  • Business Names
  • Addresses
  • Phone Numbers
  • Website URLs
  • Ratings and Reviews
  • Working Hours
  • 50+ fields

The scraper navigates Google Maps' interface, collects this publicly available information, and compiles it into a structured format like CSV or Excel. This enables businesses to analyse and utilize the data effectively.

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What Data Do You Collect from Google Maps?

  • query : Search Term Used to find places.

  • google_place_url : This field provides a link to the place on Google Maps.

  • business_name : The name of the place on Google Maps.

  • business_domain : The website of the place.

  • business_phone : The phone number of the place.

  • type : The type of the place under which it was found.

  • sub_types : All the types of the place.

  • category : The main type of the place. It might be in a local language for no-English country.

  • full_address : Full address of the place's location.

  • borough : Borough of the place's location.

  • street_address : Street of the place's location.

  • city : City of the place's location.

  • postal_code : Postal code of the place's location.

  • state : State of the place's location.

  • country : Country of the place's location.

  • country_code : Country code of the place's location.

  • timezone : Timezone of the place's location.

  • latitude : Latitude of the place's location.

  • longitude : Longitude of the place's location.

  • place_id : Unique identifier of the place (Google might update it a couple of times per year).

  • google_id : Unique identifier of the place, also known as Feature ID (Google might update it a couple of times per year).

  • place_cid : This field displays the multi-platform ID of a listing in the Google ecosystem.

  • plus_code : Location plus code (works only for individual searches, e.g., query: 'Tajmahal Agra', google_id: '0x3e49a63f6b05fe3b:0xc73d6b1f31b2ccc8', places_id: 'ChIJbf8C1yFxdDkR3n12P4DkKt').

  • area_service : Indicates whether the establishment operates without a physical presence.

  • working_hours_old_format : Working hours of the place in simple format.

  • popular_times : Popular time of the place (works only for individual searches, e.g., query: 'Tajmahal Agra', google_id: '0x3e49a63f6b05fe3b:0xc73d6b1f31b2ccc8', places_id: 'ChIJbf8C1yFxdDkR3n12P4DkKt').

  • menu_link : Link to menu (works only for individual searches, e.g., query: 'Tajmahal Agra', google_id: '0x3e49a63f6b05fe3b:0xc73d6b1f31b2ccc8', places_id: 'ChIJbf8C1yFxdDkR3n12P4DkKt').

  • order_links : Order link to place the order (works only for individual searches, e.g., query: 'Tajmahal Agra', google_id: '0x3e49a63f6b05fe3b:0xc73d6b1f31b2ccc8', places_id: 'ChIJbf8C1yFxdDkR3n12P4DkKt').

  • reviews_tags : Brief labels categorizing customer reviews (works only for individual searches, e.g., query: 'Tajmahal Agra', google_id: '0x3e49a63f6b05fe3b:0xc73d6b1f31b2ccc8', places_id: 'ChIJbf8C1yFxdDkR3n12P4DkKt').

  • located_in : Name of the place if the business is inside another business (works only for individual searches, e.g., query: 'Tajmahal Agra', google_id: '0x3e49a63f6b05fe3b:0xc73d6b1f31b2ccc8', places_id: 'ChIJbf8C1yFxdDkR3n12P4DkKt').

  • located_google_id : Google id of the place where the business is located (works only for individual searches, e.g., query: 'Tajmahal Agra', google_id: '0x3e49a63f6b05fe3b:0xc73d6b1f31b2ccc8', places_id: 'ChIJbf8C1yFxdDkR3n12P4DkKt').

  • review_url : The link to the place's reviews.

  • reviews_id : Unique identifier of the place's reviews.

  • total_reviews : Total numbers of reviews the place has received.

  • average_rating : Average rating of the place.

  • reviews_per_score : This field displays a JSON object that shows the number of reviews per score.

  • working_hours : This field displays a JSON object that shows the working hours of the place.

  • about : This field provides extra information about the place.

  • description : Description of the place.

  • logo_url : Logo URL of the place.

  • photos_count : Number of photos available for the place.

  • photo_url : Link to the image of the place.

  • street_view : Link to the street view of the place.

  • price_range : Price range of the place.

  • business_status : Current status of the business.

  • is_verified : This field indicates if the place has been claimed.

  • owner_title : Title of the owner's profile page.

  • owner_link : Link to the owner's profile on Google Maps.

  • owner_id : Unique identifier of the place owner.

  • reserving_table_links : Link to make reservations.

  • booking_appointment_link : Link to book an appointment.

  • org_link : Website URL.

  • host : Public IP on which the website is hosted.

  • domain_status : Indicates the current status of the website, such as active, page not found, or inactive.

  • Email 1 : Different email addresses associated with the website.

  • Email 2 : Different email addresses associated with the website.

  • Email 3 : Different email addresses associated with the website.

  • all emails : A collection or list of all email addresses associated with the website.

  • phone 1 : Different phone numbers associated with the website.

  • phone 2 : Different phone numbers associated with the website.

  • phone 3 : Different phone numbers associated with the website.

  • all phones : A collection or list of all phone numbers associated with the website.

  • contact Page : Contact page URL available on the website.

  • facebook : Facebook page URL of that business available on the website.

  • twitter : Twitter page URL of that business available on the website.

  • instagram : Instagram page URL of that business available on the website.

  • YouTube : YouTube page URL of that business available on the website.

  • LinkedIn : LinkedIn page URL of that business available on the website.

  • website built with : Technologies, frameworks, or platforms used to build the website.

  • website title : The title or name of the website, often displayed in browser tabs and search engine results.

  • website description : A brief description or summary of the website's content.


Not Sure Which Solution is Right for You?

Choosing the right web scraping service can be overwhelming, but we’re here to help! Our team of experts is ready to guide you through the process and recommend a tailored solution that fits your unique data needs. Let us help you make informed decisions with confidence.

Use Cases of Scraping Google Maps Data

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Business Listing and Lead Generation

Scrape business data from Google Maps to create comprehensive directories, identify potential clients, and generate high-quality sales leads. Ideal for businesses looking to expand their networks and target local markets.

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Competitor Analysis

Extract data from competitors’ Google Maps listings to uncover market trends, evaluate strengths and weaknesses, and make informed strategic decisions.

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Location-Based Services

Mobile apps, navigation tools, and location-based platforms rely on real-time Google Maps data to provide accurate directions and location information to users.

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Market Analysis

Leverage Google Maps data for market research to understand customer behaviour, analyse market trends, and identify gaps or new opportunities for growth.

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Academic and Research

Scholars and researchers use scraped data for projects related to geography, urban planning, environmental studies, and demographic research to gain actionable insights.

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Local SEO and Marketing

Enhance local search engine optimization by analysing competitors, evaluating customer feedback, and optimizing your business listings based on Google Maps data.

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Community Mapping

Local governments and community organizers use Google Maps data to create detailed maps for sharing local information and resources with residents.

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Tourism and Hospitality

Identify popular tourist attractions, analyse hotel and restaurant ratings, and create better travel experiences using location-based insights from Google Maps data.

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Geospatial Analysis

Urban planners, researchers, and government agencies utilize Google Maps data for geospatial analysis, infrastructure planning, and public service enhancements.

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Custom Maps and Applications

Developers use scraped data to create tailored maps and applications for specific business or user needs, such as delivery tracking or event planning tools.

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Emergency Services

Emergency response teams rely on reliable mapping data from Google Maps to efficiently navigate and respond to critical situations like disasters or accidents.

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Real Estate and Property Development

Real estate agents and developers extract property information, analyse location demographics, and identify potential sites for development using Google Maps data.

FAQ About Google Map Scraping

Get answers to commonly asked questions about our web scraping services and solutions

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Client Success Stories

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ByteScraper, led by Alpesh, is one of the best, if not THE best web scraping service I’ve come across. Their expertise, prompt delivery, and talent in data extraction are unmatched. I’ve purchased millions of scraped records from ByteScraper, which have driven huge business results for us.

Alex Thompson
Alex Thompson
CTO
TechCorp Solutions
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