First edition of course-dataset for Investigative Journalism project.

• Wanted PDFs found in "NOR-pdfs/" folder
• Code to be generalized so that functions and methods can be reused for other wanted course extractions
• World Championship courses to extracted
• Find out if all courses/pdfs for WC destinations are relevant, or how to distunguish/separate those who are

Backup-folder for storage if needed, used as initial value for several parameters in "course_extractor.py"-methods if not otherwise specified. Otherwise empty.

Holds all scraped .txt-files over the html-pages for each destination with the "nationcode=nor" in its url
Name of file: The scraped name from html url
(potential for normalization of names here "%2C" is actually a comma and "+" is a single space)

All pdfs extracted from the urls in "partial-urls.txt"
Name of file: The name found in the scraping of the .txt-version of the current html-page.
  Corresponding to NOR_*destination name*_*Homologation-code*.pdf
  Example: NOR_Bodo_20_51-05_2-5.pdf

Holds all scraped .txt-files over the html-pages for each destination with the "homologationlevel=WC" in its url
Name of file: The scraped name from html url
(potential for normalization of names here "%2C" is actually a comma and "+" is a single space)

All pdfs extracted from the urls in "part-urls.txt"
Name of file: The name found in the scraping of the .txt-version of the current html-page.
  Corresponding to *countrycode**destination name**Homologation-code*.pdf
  Example: CZE_Nove_Mesto_na_Morave_WC21_03-02_1-4.pdf