Scraping tables from a JavaScript webpage using Selenium, BeautifulSoup, and Pandas

A step by step tutorial for scraping tables from a JavaScript webpage

Scraping tables from a JavaScript webpage using Selenium, BeautifulSoup, and Pandas (Image by author using canva.com)

Web scraping is the process of collecting and parsing data from the web. The Python community has come up with some pretty powerful web scrapping tools. However, many modern websites are dynamic, in which the content is loaded and populated using client JavaScript. Therefore, some extra setups are required in order to scrape data from JavaScript webpages.

In this article, you’ll learn how to scrape tables from a JavaScript webpage using Selenium, BeautifulSoup, and Pandas.

1. Challenges of a JavaScript webpage
2. Install libraries and Selenium web driver
3. Scrap tables using Selenium, BeautifulSoup, and Pandas

Please check out the source code from Github

1. Challenges of a JavaScript webpage

Scrapping tables from a webpage with Python often requires no more than the use of Pandas read_html() function to reach the goal. However, a lot of modern websites are dynamic, in which the content is loaded and populated using client JavaScript. Therefore, examples using Pandas read_html() will not work…