19266fe5eb
* wave 1, jobspy only * combine usa/ca to united states * strict city location filter * hide and show based on focus * UI changes * allow clicking cross! * pill animate in * animate out, uggo fix * animate out * framer motion * animate component height * adzuna * hiring cafe implementation * refactor: centralize shared search-city parsing and matching * feat: migrate city setting to searchCities with legacy fallback * docs: update pipeline and extractor city-search wording * fix(orchestrator): normalize tokenized paste behavior * fix(shared): tighten city matching semantics * docs(extractors): document city-location knobs and geocoding note
24 lines
1.0 KiB
Markdown
24 lines
1.0 KiB
Markdown
# Hiring Cafe Extractor
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Browser-backed extractor for Hiring Cafe search APIs.
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Special thanks: initial implementation inspiration came from [umur957/hiring-cafe-job-scraper](https://github.com/umur957/hiring-cafe-job-scraper).
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## Environment
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- `HIRING_CAFE_SEARCH_TERMS` (JSON array or `|` / comma / newline-delimited)
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- `HIRING_CAFE_COUNTRY` (default: `united kingdom`)
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- `HIRING_CAFE_MAX_JOBS_PER_TERM` (default: `200`)
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- `HIRING_CAFE_DATE_FETCHED_PAST_N_DAYS` (default: `7`)
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- `HIRING_CAFE_LOCATION_QUERY` (optional city, e.g. `Leeds`)
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- `HIRING_CAFE_LOCATION_RADIUS_MILES` (default: `1` when city is set)
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- `HIRING_CAFE_OUTPUT_JSON` (default: `storage/datasets/default/jobs.json`)
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- `JOBOPS_EMIT_PROGRESS=1` to emit `JOBOPS_PROGRESS` events
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- `HIRING_CAFE_HEADLESS=false` to run headed
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## Notes
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- The extractor uses `s = base64(url-encoded JSON search state)`.
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- `worldwide` and `usa/ca` are treated as broad search modes without hard country location filters.
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- City geocoding uses [Nominatim](https://nominatim.openstreetmap.org/) (OpenStreetMap data).
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