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Scrape data off job postings

What

Scrape data off a job posting.

Input are URLs:

https://boards.greenhouse.io/placerlabs/jobs/5889594003
https://boards.greenhouse.io/correlationone/jobs/5067265004
https://boards.greenhouse.io/nimblegravity/jobs/4365784005
https://boards.greenhouse.io/securityscorecard/jobs/2201043
https://boards.greenhouse.io/moovx/jobs/4366290005;
https://boards.greenhouse.io/okta/jobs/5849882
https://boards.greenhouse.io/astropay/jobs/4147625007
https://boards.greenhouse.io/integraladscience/jobs/5328370
https://boards.greenhouse.io/yalochatinc/jobs/5773977003
https://boards.greenhouse.io/bitcoincom/jobs/4388949005
https://boards.greenhouse.io/launchpadtechnologiesinc/jobs/4336338006
https://boards.greenhouse.io/truelogic/jobs/7309055002
https://boards.greenhouse.io/truelogic/jobs/7307936002
https://boards.greenhouse.io/truelogic/jobs/7274188002
https://boards.greenhouse.io/truelogic/jobs/7297301002
https://boards.greenhouse.io/moovx/jobs/4034377005;

Using:

Regex, LLM api calls, or any other method.

Why

We need information out of active job postings

DoD

List of dicts containing information regarding a particular job posting, given its url.

Add search engine screening for greenhouse jobs

What

Add search engine screening that fetches URLs from a given search string.

Using:

SE: Google
Target: Greenhouse

Why

We need URLs to be able to scrape information for each job posting.

DoD

Must differentiate between job postings and job boards in Greenhouse.
Should return list of dicts containing URLs and their respective classifications ( job board, job posting, other, etc)

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