Using Selenium and Python to Webscrape Data of Top Tech YouTubers

Using Selenium to Webscrape Youtube Tech Channels

About the Data

Web scraping was performed on the Top 10 Tech Channels on Youtube using Selenium (an automated browser (driver) controlled using python, which is often used in web scraping and web testing). Web scrapped Youtube channels were were determined using a Top 10 Tech Youtubers list from blog.bit.ai. Scraping included:

• General data for each channel
  • ex.join date, name, no. of subscribers
• Data from most popular videos per channel
  • ex. video titles, views,
• Data specific to each video.
  • ex. post date, no. of upvotes, no. comments.

The average number of videos per channel was around 200. In total, the data from 2000 videos was scrapped. All data was saved to multiple CSV files to aid in further analyze on a Google Colab notebook. Please see my for more more details.

Project Links

“Data Analysis of Youtube Tech Channels”

Download Details:

Author: drusho
Download Link: Download The Source Code
Official Website: https://github.com/drusho/webscrape_youtube

#scrape #youtube #python