Building a web app in Python for analyzing YouTube channels
In this video, we're going to build a Streamlit web app in Python for analyzing YouTube channel data. Webscraping was performed using BrightData to obtain data pertaining to YouTube channel information that is exported in JSON format.
🔗 Learn more about BrightData and follow along https://get.brightdata.com/dataprofessor
🐙 Code for webscraping on BrightData https://github.com/dataprofessor/yout...
🐙 Code for app https://github.com/dataprofessor/yout...
🕹 Demo app https://youtube-data-channels.streaml...
⏰ Timeline:
0:00 Introduction
1:25 Designing the app
3:31 Preview of data app
6:11 BrightData for web scraping
8:49 Exploring the webscraped JSON data
9:36 Walkthrough of the code
12:30 Next steps
13:22 Conclusion
🖼️ Credit:
Enter https://www.flaticon.com/free-icon/en...
Paste https://www.flaticon.com/free-icon/pa...
Categories https://www.flaticon.com/free-icon/ca...
Json https://www.flaticon.com/free-icon/js...
Coding https://www.flaticon.com/free-icon/co...
Plan https://www.flaticon.com/free-icon/pl...
Data collection https://www.flaticon.com/free-icon/da...
Problem solving https://www.flaticon.com/free-icon/pr...
Data collection https://www.flaticon.com/free-icon/da...
Data https://www.flaticon.com/free-icon/da...
Database https://www.flaticon.com/free-icon/da...
IP https://www.flaticon.com/free-icon/ip...
#datascience #webscraping #brightdata #streamlit #dataprofessor
