Finding the Most Profitable Keywords by Plotting Competitor Analysis Graphs — with Python Streamlit
Hello Everyone! My name is Andrew Fung, in this second episode of the Streamlit Ad-Scraping web application, I will be showing you how to plot competitor analysis graphs. Users will be able to interact with the scraper such as setting the number of times each keyword to be scraped, add to the keyword concerned list, and display results in terms of data frame, top companies graphs, etc.
#streamlit #keywordanalysis #competitoranalysis #python #webscraping #beautifulsoup
How I make my YouTube videos:
⌨️ Keyboard - Nuphy Air75 Mechanical Keyboard - https://amzn.to/3Xu4PD3
🎙 Microphone - MAONO A04 Professional Podcaster USB Microphone - https://amzn.to/3k8ocD5
🖱 Mouse - Microsoft Bluetooth Ergonomic Mouse - https://amzn.to/3CHhdHJ
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Source code for this project:
https://github.com/Andrew-FungKinHo/Y...
Source code for the project:
https://github.com/Andrew-FungKinHo/Y...
Previous video link: • How to build an Interactive Ad-scraping Ke...
Check out my Github!
https://github.com/Andrew-FungKinHo
Timestamps
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0:00 | Intro
2:00 | Scraper API
4:40 | Keyword Multiselect
8:16 | Keywords Ad Percentage Plot
18:44 | Most Influential Companies within the list of keywords plot
24:39 | Individual keyword competitor analysis plot
30:52 | Final Results
36:57 | Out tro
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Feel free to drop a like and comment if you enjoy and video and let me know if you want me to do other types of programming videos ;) !!!