To scrape for alumni placements, enter list of required alumni in input.csv. Here is an example below:
name,linkedin
John Doe,https://www.linkedin.com/in/jdoe/
Karen Doe,https://www.linkedin.com/in/kdoe/Obtain an API key from RapidAPI for the follwing API: https://rapidapi.com/iscraper/api/linkedin-profiles-and-company-data.
Then, run python alumni.py <your_api_key_here>. The scraped user data will be saved in output.csv. Note that if there
are many entries in the input (100+), the free API limit may be reached; you may have to switch to the paid API plan.
Put all names into names.csv, run the donutdates.py script, and you will get the pairings. Note that the algorithm will
fail if there are odd number of names.
Put analysts separated by role into roster.json, including number of strikes as the value. Run strikes.py to generate a
chart that displays the strike counts.