#GOOGLE MAPS DATA EXTRACTOR FREE HOW TO#
#GOOGLE MAPS DATA EXTRACTOR FREE FREE#

In all, you will want to be as natural as possible and avoid getting your requests interpreted as originating from a bot. For this reason, you will need to incorporate some anti-scraping techniques, such as using rotating proxies that will change your IP after either every request or after a short period of time.Īlso, you will need to change the user agent, set random timing within requests, and mimic human actions such as typing and, clicking, and moving of cursor. While Selenium will do the work, there’s still the risk of getting detected and banned. With this tool, you can launch Google Chrome, load the Google Map website, search for specific businesses, click on them, copy the displayed information. This tool automates web browsers to carry out specific tasks. For this reason, you cannot use the duo of Requests and Beautifulsoup – Scrapy also will not work as it does not support JavaScript.įor developing Google Map scrapers using the Python programming language, you will need Selenium. Google Map is an interactive service, and as such, you cannot use regular scraping tools that do not render JavaScript as the Google Map website depends heavily on JavaScript to generate and output results. If you’re a coder, then you can develop a Google Map scraper in no time, as there are libraries and frameworks you can use to develop a Google Map scraper tailored to your need. Most already-made Google Map scrapers were developed to be used as standalone tools that either come with unnecessary features or do not come with all of the features you will like.

#GOOGLE MAPS DATA EXTRACTOR FREE HOW TO#

How to Scrape Google Map Using Python and SeleniumĪs a coder, you will not have to need to use already-made Google Map scrapers as you can develop a custom one that will meet your need. Google Map scraping requires JavaScript rendering, and as such, only HTTP libraries that can render JavaScript will work, which means that Scrapy, Requests, and other HTTP requests that do not load and interpret JavaScript will not work.įor Python programmers, Selenium is the tool for the job as it is used to automate web browsers, and you can get it to open and load all of the data on a Google Map page in other to extract them.Īside from rendering JavaScript, you will need proxies to hide the IP footprints associated with your web requests, as using one IP address will get that IP address banned if you end too many requests within a short period of time. I had to learn how to scrape Google Maps and apply the knowledge before I was able to successfully extract the data I wanted. My first attempt at scraping Google Map was a failure – JavaScript and their anti-scraping systems put me off. However, Google Map would not allow you to scrape data from its platform without a fight, and only when you can either evade the fight or even win it would you have unrestricted access to the data on the platform. A lot of the data available on Google Map of interest to web scrapers is user generated. Scraping is generally considered legal, but that does not mean you will find it easy. We would also be providing you recommendations on already-map scrapers in the market that you can use to scrape Google Map even without coding skills. This is to enable those with coding knowledge to develop their own custom Google Map scraper. In this article, we would be discussing how to scrape Google Map using Python and Selenium.

This has made web scraping the method of choice for collecting data from Google Maps.

#GOOGLE MAPS DATA EXTRACTOR FREE FREE#

They do have a Place API with a limited free version that is not useful to scrapers that need to scrape a whole lot of listings.

Unfortunately, Google does not provide a free method you can use to collect the data. The data, even though publicly available, has some restrictions attached to them – automated access for the purpose of collecting the data is not allowed. The enormous amount of location and business listing data available on Google Map has made it a great source of data for lead generators and review researchers, among others. The service has been designed in such a way that the data on it is user-generated, and you can find tonnes of user-generated data, including location details of a business, reviews added by customers of a business, and the end rating.įor many people, finding out specific businesses and services to use for unfamiliar locations starts from Google Map as most serious businesses are depicted on the map with some adding information of their service to intending customers that will be looking them up on the map. Google Map is arguably the most popular and used map on the Internet by regular Internet users. Are you looking forward to scraping locational data from Google Map? Then come in now and discover how to use Python and Selenium to get it done easily with a few lines of code.

Google maps data extractor free