Outscraper expands its data extraction platform with a Google Maps Scraper designed to collect structured business and location data at scale, supporting market research, analytics, and operational use cases.

Outscraper today announced the availability of its Google Maps Scraper, a data extraction solution that enables users to collect structured business and location information directly from Google Maps. The tool is designed to support organizations that rely on accurate, location-based datasets for research, analysis, and decision-making.

The Google Maps Scraper allows users to extract data points such as business names, addresses, geographic coordinates, categories, ratings, reviews, and other publicly available listing details. By automating the collection process, the tool reduces the need for manual research while improving data consistency and scalability.

The scraper supports customizable search parameters, including geographic areas, business categories, and radius-based queries. Extracted data can be delivered in multiple structured formats, making it compatible with common analytics, CRM, and business intelligence workflows.

The solution is intended for a wide range of use cases, including competitive analysis, lead generation, location intelligence, academic research, and market mapping. API access is also available, allowing teams to integrate Google Maps data directly into existing data pipelines and internal systems.

Key Features Include:

- Automated extraction of business and location data from Google Maps

- Configurable filters by location, category, and search radius

- Structured output formats suitable for analytics and reporting

- API access for scalable and automated data workflows

By expanding its data extraction capabilities, Outscraper continues to support businesses, developers, and analysts seeking reliable access to structured web data from complex online sources.

About Outscraper

Outscraper is a technology company providing scalable web data extraction tools designed to help organizations collect structured information from online platforms. Its solutions are used by developers, marketers, researchers, and enterprises to support analytics, automation, and data-driven decision-making.

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