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How to build an Interactive Ad-scraping Keyword Analysis Web App with Streamlit Python & ScraperAPI

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Hello Everyone! My name is Andrew Fung, in this video, I will be showing you how to create an interactive web application that will do Google Advertisement scraping based on a list of keywords with Streamlit and return results in terms of competitor analysis and keyword 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 #python #webscraping #beautifulsoup
Installation and Setup!
How I make my YouTube videos:
Source code for this project:
Source code for the last video:
Check out my Github!
Timestamps
-------------------------------
0:00 | Intro
6:16 | Installation of packages and Set up
10:22 | User slider and keyword list tags
15:09 | Submit and Display Result button
18:40 | Ad scraper function with progress bar
24:58 | Turn Json to pandas dataframe
33:44 | Out tro
-------------------------------
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 ;) !!!
#streamlit #keywordanalysis #python #webscraping #beautifulsoup
Installation and Setup!
How I make my YouTube videos:
Source code for this project:
Source code for the last video:
Check out my Github!
Timestamps
-------------------------------
0:00 | Intro
6:16 | Installation of packages and Set up
10:22 | User slider and keyword list tags
15:09 | Submit and Display Result button
18:40 | Ad scraper function with progress bar
24:58 | Turn Json to pandas dataframe
33:44 | Out tro
-------------------------------
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 ;) !!!
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