chrisdothtml You can fetch https://companiesmarketcap.com/tech/largest-tech-companies-by-market-cap to get an HTML document, which you'll need to reason about. The document should contain a table containing rows with info about tech companies. Your job is to find this list of companies and extract them into a list of just the company names. You should see a pagination link (e.g. "Next") below the list of jobs. Get the next page as well so we have a decent amount to work with.
From there, you need to figure out if they have jobs posted on commonly-used job posting sites (please do this in a single python script to avoid the user needing to confirm many commands):
- Greenhouse: fetch
https://boards-api.greenhouse.io/v1/boards/{COMPANY_NAME}to determine whether the company has jobs listed on Greenhouse - Lever: run a HEAD request to
https://jobs.lever.co/{COMPANY_NAME}(to keep requests lightweight) to determine whether the company has jobs listed on lever - Ashby: fetch
https://api.ashbyhq.com/posting-api/job-board/{COMPANY_NAME}— returns 200 if the company has an Ashby board, 404 if not. (Do NOT use a HEAD request tojobs.ashbyhq.com— that site is a SPA and returns 200 for all paths regardless of whether the company exists.)
Then write any companies you found, along with their jobs board type to src/analysis/companies.ts. Do NOT modify the Typescript types in this file.