I developed Python programs to scrape data from multiple unroasted coffee bean vendors and structured it in Excel tables. I initally used Python libraries Beautiful Soup, Requests, and XlsxWriter to gather the necessary information to help guide my coffee buying decisions. When I learned more, I improved the code's performance for Sweet Maria's web crawler by over 70% by implementing Pandas. I also have experience building web crawlers with Python by extending the HTMLParser class.
-
Notifications
You must be signed in to change notification settings - Fork 0
I developed Python programs to scrape data from multiple unroasted coffee bean vendors and structured it in Excel tables. I used python libraries Beautiful Soup, Requests, and XlsxWriter to gather the necessary information to help guide my coffee buying decisions. A key feature used to help guide my buying decision was the cupping score, which i…
tboudart/GreenCoffeeWebCrawlers
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
I developed Python programs to scrape data from multiple unroasted coffee bean vendors and structured it in Excel tables. I used python libraries Beautiful Soup, Requests, and XlsxWriter to gather the necessary information to help guide my coffee buying decisions. A key feature used to help guide my buying decision was the cupping score, which i…
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published