The Ultimate Guide to Google Trends Scraping with Python

Since its initial release in May 2006, Google Trends has become one of the leading search-tracking datasets. Every month, millions of people visit the website to study and examine the extensive collection of Google search data. Understanding what people search for online has never been as impactful as it is now, and that’s why Google Trends is helpful.

With more than 1 billion searches conducted on Google each day and Google Trends being used 80% more than before, data is in higher demand than ever for making decisions. Using a few lines of code, you can track trends, identify early opportunities, and make your strategies reflect consumer interests. In this article, we’ll show you how to use web scraping to get keyword insights and trending data from Google Trends.

The Ultimate Guide to Google Trends Scraping with Python

Since its initial release in May 2006, Google Trends has become one of the leading search-tracking datasets. Every month, millions of people visit the website to study and examine the extensive collection of Google search data. Understanding what people search for online has never been as impactful as it is now, and that’s why Google Trends is helpful.

With more than 1 billion searches conducted on Google each day and Google Trends being used 80% more than before, data is in higher demand than ever for making decisions. Using a few lines of code, you can track trends, identify early opportunities, and make your strategies reflect consumer interests. In this article, we’ll show you how to use web scraping to get keyword insights and trending data from Google Trends.