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Hiring cafe extractor (#192)

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* feat(hiringcafe): register new source across shared/server/client enums

* feat(hiringcafe-extractor): add browser-backed Hiring Cafe dataset extractor

* feat(orchestrator): integrate Hiring Cafe discovery service into pipeline

* feat(orchestrator-ui): add Hiring Cafe to source availability and run estimates

* chore(hiringcafe): wire CI/docker and add extractor documentation

* chore(format): apply biome formatting for Hiring Cafe integration

* add original websites

* coomints

* number or null
This commit is contained in:
Shaheer Sarfaraz
2026-02-19 12:51:55 +00:00
committed by GitHub
parent 16dd17ebea
commit d34a9f041b
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docs-site/docs/extractors/jobspy.md
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@@ -7,6 +7,11 @@ sidebar_position: 3
A walkthrough of the JobSpy extractor for Indeed, LinkedIn, and Glassdoor.
Original websites:
- [indeed.com](https://www.indeed.com)
- [linkedin.com/jobs](https://www.linkedin.com/jobs)
- [glassdoor.com](https://www.glassdoor.com)
## Big picture
JobSpy runs as a Python script per search term, writes JSON, then orchestrator ingests and normalizes into internal job shape.