The problem Webdator solves

There are thousands of websites to visit and millions of opportunities to seize, but we frequently miss them. We regularly forget where to apply, which companies have openings, and when the deadline is. Also, because the site is constantly updating and adding new options, we frequently miss out on such updates.

Challenges we ran into

Web scraping was one of the most difficult parts of data extraction from leading career firms such as Meta, Microsoft, Google, NTA, Devfolio, Amazon, Jac, Josaa, unstopHackthon, and unstop Hiring took up the majority of our time.
Besides this,keeping the dictionaries storing the data constantly and automatically updated was one of the difficult tasks as we had to make sure that no infinite loop or time error occurs.

We resolved and found solutions to these challenges through use of better libraries and frameworks that were more efficient