Developer Employer Matcher
Job recomendations for developers based on their GitHub activity
Part 1 - Scrape user, organization, and repository metadata from Github into MongoDB. Complete!
Part 2 - Perform analysis and ML on data, try to find employment ideas for developers based on interests and location - Not started
Part 3 - Create a web UI for developers and recruiters to see insights - Not started
Part 1
The script performs a BFS on GitHub GraphQL nodes, including users, repos and organizations. Queries fall into two categories - discovery and details. Discovery queries just finds the node ids for detail scrapers to use later.
Discovery queries (just fetches ids)
- From an org Id, find the user Ids of org members
- From a user Id, find their repository ids
- From a user Id, find the org ids of organizations they're a member of.
Detail queries (given ids, fetch details in bulk)
- From a user id, lookup their handle, company, email, isHireable, name and websiteUrl
- From an org id, lookup their handle and name
- From a repo id, lookup its name and the languages its coded in
Notes
- The BFS is seeded with the minimum of one organization Id.
- All queries are saved to .graphql files to get IntelliSense and Node loads them and sends them to GitHubs API when querying data