Webscraping: with `Beautiful Soup4` | `Regex` | `Selenium` | `Py4J` | `Eclipse IDE with Maven`

This is a two part jupyter notebook

This exercise was used to find what countries voted: for/against/abstained for any given Resolutionfrom the United Nations

First part of this project: Find all webpages relevant to Session Resolutions, this was entails entering 3 pages deep.
- Second part deals with parsing online pdf files with Java PDFBox and sending that data to Python with Py4J.
  - From there we will finially parse with Regex these files which will be plain text for our: voting by country

------------------------------------------------------------------------------

`with Mr Fugu Data Science`

ALso Check out my videos: Youtube

Required installs:

pip install beautifulsoup4 | pip install pyPDF2 | pip install Selenium

Skills Learned:

Name		Name	Last commit message	Last commit date
Latest commit History 104 Commits
IndeedJune2022_href_jobDescription.ipynb		IndeedJune2022_href_jobDescription.ipynb
Indeed_scrape_2020CA.txt		Indeed_scrape_2020CA.txt
Indeed_scrape_Oct2020.txt		Indeed_scrape_Oct2020.txt
Indeed_webscrape.ipynb		Indeed_webscrape.ipynb
July_2023_Indeed_Webscrape_Selenium.ipynb		July_2023_Indeed_Webscrape_Selenium.ipynb
MyWay_Indeed_Help_India_version.ipynb		MyWay_Indeed_Help_India_version.ipynb
README.md		README.md
Selenium_ASYNCIO_Indeed.ipynb		Selenium_ASYNCIO_Indeed.ipynb
Selenium_Webdriver_Issues.ipynb		Selenium_Webdriver_Issues.ipynb
Webscrape_UN_fin.ipynb		Webscrape_UN_fin.ipynb
Webscraping_Ideas_Considerations.ipynb		Webscraping_Ideas_Considerations.ipynb
indeed_WebScrape_2021.ipynb		indeed_WebScrape_2021.ipynb
screen_shot_01.png		screen_shot_01.png
screen_shot_02.png		screen_shot_02.png
screen_shot_03.png		screen_shot_03.png
screen_shot_04.png		screen_shot_04.png
shadow_root.png		shadow_root.png