Open this text file in your code editor, and convert it into an HTML file.

Now, open the URL in your browser, and a text will be downloaded to your computer. If you take a look at the URL, you will get to know the data ID is between !4m7!3m6!1s and !8m2!, which in this case is 0x3e5f43348a67e24b:0xff45e502e1ceb7e2. Let us search for Burj Khalifa on Google Maps. You can get the data ID of any place by searching it on Google Maps. Sort_by – It is used for filtering the results. Next_page_token – It is used to get the next page results. To install these libraries, you can run the below commands in your terminal:įeature_id – It is also known as a data ID which is a unique Id for a particular location on Google Maps. Requests – Used for making HTTP requests.Beautiful Soup – Used for parsing the raw HTML data.To scrape Google Maps Reviews, we will be using these two Python libraries: If you don’t want to watch these videos, you can directly download Python from their official website. Those who have not installed Python on their device can watch these videos: Extracting the required information from the raw HTML data.Getting the raw HTML from the target URL.The Google Maps Reviews scraping is divided into two parts: At last, I will also show you a method to easily scrape the reviews beyond the top 10. In this blog, we will design a Python script to scrape the top 10 Google Reviews including location information, user details, and much more.

Let’s Start Scraping Google Maps Reviews Using Python Reputation Management – Monitoring or analyzing the negative reviews left by your customers helps you identify the weakness in your product and allows you to solve problems faced by your customers. Valuable Insights – Scraping Google Maps Reviews can provide valuable insights from your customers, their opinions, and feedback which can help you to improve your product and revenue growth.Ĭompetitive Intelligence – Reviews from Google Maps can help you identify your competitors’ strengths and weaknesses, and you leverage this data to stay ahead of your competitors.ĭata Analysis – The review data can be used for various research purposes such as sentimental analysis, consumer behavior, etc. Scraping Google Maps Reviews comes with various benefits: Using Google Maps Reviews API To Scrape Reviews.Let’s Start Scraping Google Maps Reviews Using Python.

Google maps reviews