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In this blog post, we delve into the world of scraping data from Google Maps, providing two effective methods to access and utilize the information you require. Whether you prefer coding or a no-code approach, we've covered you.

We explore two methods to scrape data from Google Maps. First, we'll delve into building a web scraper using Python or JavaScript, equipping you with the knowledge to extract data programmatically. Then, we'll introduce Actowiz Solutions, a no-code scraping tool that simplifies the process. Whether you prefer coding or a no-code approach, we've got you covered. Learn how to scrape Google Maps and unlock valuable data for your specific needs.

Google Maps Data Extraction: Building a Python or JavaScript Web Scraper

This section will walk you through scraping data from Google Maps using Python or JavaScript. We will leverage the power of Playwright, a browser automation framework, to simulate browser behavior in our code. By utilizing Playwright, we can overcome common scraping restrictions. However, it is essential to note that a deeper understanding of the Playwright API is required for practical usage. Alternatively, we briefly acknowledge that scraping with Python libraries like Requests, LXML, or Beautiful Soup is possible, but bypassing anti-scraping measures can be challenging and falls outside the scope of this blog.

Scraping Google Maps Data with Playwright: Step-by-Step Guide

1. Choose Python or JavaScript as your programming language.

2. Install Playwright for your chosen language:




npm install playwright@latest

3. Using the Playwright API, emulate browser behavior and extract the desired data from Google Maps. Below is a code example to get you started:

Python (


JavaScript (scraper.js)


Scraping Restaurant Information from Google Maps with Playwright in Python and JavaScript

The scripts demonstrate how to scrape restaurant data from Google Maps using Playwright. The "run" function launches a Chromium browser, performs a search on Google Maps, and waits for the results. Then, the "extract_details" function extracts restaurant details like title, review count, rating, address, and phone. The primary function executes the scraping process and saves the data in a JSON file. Please note that the xpaths may vary depending on the location used to access Google Maps. Run the code to collect the scraped data from Google Maps.




node scraper.js

Scraping Google Maps Data: No-Code Approach with Actowiz Solutions

Actowiz Solutions' Google Maps scraper offers an effortless, no-code data extraction solution, ideal for individuals with limited technical skills. Conveniently scrape search results from Google Maps hassle-free.


Here's a simple guide to set up and use the Google Maps scraper by Actowiz Solutions:

1. Sign up/log in to your Actowiz Solutions account.

2. Visit the Actowiz Solutions marketplace and find the Google Maps Search Results scraper.

1. Add the scraper to your account. (Don’t forget to verify your email if you haven’t already.)Add google maps scraper by Actowiz Solutions to account


2. For scraping results of a single query, simply enter the query in the designated field and specify the number of pages to scrape. Enjoy the easy mode of Actowiz Solutions' Google Maps scraper.


3. For scraping multiple queries, switch to Advanced Mode, navigate to the Input tab, and add the queries to the SearchQuery field. Save the settings to utilize Actowiz Solutions' Google Maps scraper in advanced mode.


4. Initiate the scraping process by clicking the "Gather Data" button. Actowiz Solutions' Google Maps scraper will begin collecting the desired data from Google Maps.


5. The scraper will commence retrieving data for your queries, and you can monitor its progress in the Jobs tab.

6. After completion, you can access and download the data from the same tab, allowing you to analyze and utilize the extracted information.


7. You can easily export Google Maps data to an Excel spreadsheet. Simply click on the Download Data button, select "Excel" as the file format, and open the downloaded file using Microsoft Excel for further analysis and manipulation.


Google Maps Data Use Cases

Google Maps data is a valuable resource offering various use cases and applications across various industries. Here are some of the critical use cases for Google Maps data:

Location-based Services: Google Maps data powers various location-based services such as ride-hailing apps, food delivery services, and navigation systems. By leveraging Google Maps data, these services can provide users with accurate directions, real-time traffic updates, and location-specific information.

Business Intelligence: Google Maps data can be used for business intelligence purposes, such as analyzing customer behavior and market trends. By mapping customer locations and analyzing patterns, businesses can gain insights into customer preferences, target specific demographics, and optimize their marketing strategies.

Geospatial Analysis: Google Maps data is invaluable for conducting geospatial analysis. This includes mapping and analyzing geographical data to understand spatial relationships, identify patterns, and make informed decisions. Industries like urban planning, logistics, and retail can benefit from geospatial analysis to optimize operations, plan routes, and determine the best locations for stores or facilities.

Real Estate and Property Management: Real estate professionals can leverage Google Maps data to gain insights into property values, neighborhood demographics, and nearby amenities. This information helps make informed decisions about property investments, pricing, and management.

Emergency Services and Disaster Management: Google Maps data can be crucial for emergency services and disaster management agencies during emergencies or natural disasters. It helps visualize affected areas, coordinate rescue efforts, and identify safe evacuation routes.

Travel and Tourism: The travel and tourism industry relies heavily on Google Maps data for mapping destinations, providing directions, and showcasing points of interest. Travel agencies, hotels, and tour operators utilize this data to offer customized itineraries, highlight attractions, and facilitate seamless travel experiences.

Data Visualization and Mapping: Google Maps data is widely used for data visualization and creating interactive maps. It enables businesses, researchers, and journalists to present data in a visual and easily understandable format. This can be particularly helpful in conveying complex information, such as population density, distribution of resources, or environmental factors.

Market Research and Competitive Analysis: By analyzing Google Maps data, businesses can gain insights into market trends, competitor locations, and customer preferences. This information helps identify untapped markets, evaluate the competition, and make informed business decisions.

In conclusion, Google Maps data offers a multitude of use cases across various industries. Its versatility and accessibility make it a powerful tool for businesses, researchers, and individuals to leverage spatial data and gain valuable insights.

Frequently Asked Questions

What is Google Maps Scraping?

Google Maps scraping refers to extracting data from the listings displayed for a specific search query on Google Maps. It involves retrieving business names, addresses, phone numbers, reviews, popular times, and other relevant data points. By scraping Google Maps, valuable data can be collected and utilized for various purposes, such as market analysis, lead generation, and decision-making in business operations.

Does Google Maps has an API? Why use Actowiz Solutions instead?

While Google Maps does offer an official API, it can be expensive and complex to implement, particularly for commercial and large-scale projects. On the other hand, Actowiz Solutions' Google Maps scraper provides a more affordable alternative. Additionally, the official API may have limitations regarding customization options and can introduce additional dependencies to the project. Using Actowiz Solutions, users can bypass these challenges and efficiently extract the desired data from Google Maps without requiring extensive resources or technical expertise.

What are the Data Categories Extracted from Google Maps Scraping?

Scrape Business Listings and Details with Actowiz Solutions' Google Maps Scraper. Extract Business Reviews using Actowiz Solutions' Google Reviews Scraper.

Is it permissible to extract Google Maps ?

The legality of scraping Google Maps data depends on the jurisdiction and the specific laws of the country. In general, web scraping publicly available information is considered legal. However, it is important to familiarize yourself with the laws in your jurisdiction to ensure compliance.

To learn more about extracting Google Maps data or for any inquiries regarding mobile app scraping, instant data scraper, web scraping services, please get in touch with Actowiz Solutions. We are here to assist you with your data scraping needs.


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