Free Google Maps Data Extractor Tools

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Here are some free Google Maps extractor tools that you can consider: MapLeadScraper, Octoparse, Apiy and so on. These tools can be used to extract various data from Google Maps for different purposes such as lead generation, market analysis, and business development.

MapLeadScraper: #1 Free Google Maps Data Extractor Tools


MapLeadScraper is a free Google Maps scraper extension that allows users to extract local business data and contacts, saving time on manual searches. The tool is designed to automatically generate leads from Google Maps listings.

MapLeadScraper offers a simple and intuitive interface, and users have provided positive feedback on its efficiency and ease of use. Additionally, the MapLeadScraper blog provides tips and guides on Google Maps scraping and data extraction. This tool can be a valuable resource for those seeking to extract business information from Google Maps for lead generation and other purposes.

What are the alternatives gmaps scraper tools?

The alternatives to using a Google Maps scraper tool include:

  1. Lusha: A tool that provides B2B contact data. It offers a Chrome extension for data extraction.
  2. Phantom Buster, Outscraper: These are mentioned as Google Maps scraper tools, but they are also listed as alternatives, possibly due to their specific features and capabilities.
  3. Octoparse: While not exclusively a Google Maps scraper, it is a powerful web scraping tool that can be used for various data extraction tasks, including scraping data from Google Maps.
  4. Lobstr: This is a tool that allows you to easily export Google Maps search results, which is useful for scraping local business data automatically, encompassing 35 different types of data as part of this process. So for instance if you are intending to get the lowdown on competitors in a particular area, or you want to keep tabs on reviews from customers and the scores they assign different businesses, it’s a breeze.

These alternatives offer a range of features and capabilities for data extraction, and the choice of alternative would depend on the specific data extraction needs and the features offered by each tool.

What are the limitations?

The limitations of using Google Maps scraper tools include:

  1. Scraping Speed: Some tools may have slower scraping and data extraction processes, especially when scraping thousands of listings, which can take hours based on the target location size.
  2. Limited Monthly Quota: Certain tools may impose a limit on the number of scraped listings per month, which can be a limitation for teams with larger data needs.
  3. Legal and Ethical Considerations: Users must respect the terms of service and usage of Google Maps, as well as legal and ethical guidelines governing data scraping activities. This includes adhering to restrictions on data usage and respecting boundaries such as personal data and intellectual property regulations.
  4. Data Management and Analysis: Efficient data management and analysis are crucial, including storing and organizing the scraped data in a structured manner, preprocessing and cleaning the data, and ensuring data integrity and reliability.

By being aware of these limitations and addressing them responsibly, users can make the most of Google Maps scraper tools while respecting legal, ethical, and technical considerations.

What are the best practices for using a google maps scraper tool?

The limitations of using Google Maps scraper tools include:

  1. Scraping Speed: Some tools may have slower scraping and data extraction processes, especially when scraping thousands of listings, which can take hours based on the target location size.
  2. Limited Monthly Quota: Certain tools may impose a limit on the number of scraped listings per month, which can be a limitation for teams with larger data needs.
  3. Legal and Ethical Considerations: Users must respect the terms of service and usage of Google Maps, as well as legal and ethical guidelines governing data scraping activities. This includes adhering to restrictions on data usage and respecting boundaries such as personal data and intellectual property regulations.
  4. Data Management and Analysis: Efficient data management and analysis are crucial, including storing and organizing the scraped data in a structured manner, preprocessing and cleaning the data, and ensuring data integrity and reliability.

By being aware of these limitations and addressing them responsibly, users can make the most of Google Maps scraper tools while respecting legal, ethical, and technical considerations.