Greenhouse Job Board Scraper (Official JSON API)
Pricing
$0.05 / 1,000 run starteds
Greenhouse Job Board Scraper (Official JSON API)
Reads the official boards-api.greenhouse.io JSON feed for one or more company slugs and exports one flat row per job posting with title, location, requisition ID, apply URL, and posting dates.
Pricing
$0.05 / 1,000 run starteds
Rating
5.0
(3)
Developer
Ahmed
Maintained by CommunityActor stats
3
Bookmarked
3
Total users
1
Monthly active users
2 days ago
Last modified
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Greenhouse Job Board Scraper
Reads the official boards-api.greenhouse.io JSON feed for one or more company slugs and exports one flat row per job posting — title, location, requisition ID, apply URL, and posting dates. Built for recruiters, sourcers, and job-board aggregators who need a clean, structured feed of every open role on a company's Greenhouse board without maintaining their own API integration.
Why this scraper
- Reads the official JSON API rather than the HTML board page, so postings come back as structured fields (job ID, requisition ID, dates, GDPR flag) instead of text scraped off a rendered page — nothing to break when Greenhouse changes its page layout.
- Charged once per run, not per job. A board with 500+ open roles (Stripe, Databricks) costs the same flat fraction of a cent as a board with 5 roles, instead of scaling with job count.
- No login, no CAPTCHA, no browser rendering — it's a direct read of a public API endpoint, so there's nothing fragile in the pipeline between you and the data.
Output fields
| Field | Type | Description |
|---|---|---|
| job_id | integer | Greenhouse job posting ID |
| title | string | Job title |
| company_name | string | Employer name as returned by Greenhouse |
| company_slug | string | Greenhouse board token parsed from the input URL, e.g. stripe |
| location | string | Free-text location string for the posting |
| absolute_url | string | Public apply/listing URL for the job |
| requisition_id | string | Company-internal requisition identifier |
| internal_job_id | integer | Greenhouse internal job ID |
| updated_at | string | ISO timestamp the posting was last updated |
| first_published | string | ISO timestamp the posting first went live |
| application_deadline | string | Application deadline if the company sets one, else empty |
| education | string | Education requirement flag from Greenhouse |
| language | string | Language code of the posting |
| gdpr_consent_required | boolean | Whether the posting's GDPR data_compliance entry requires applicant consent |
Input
{"startUrls": [{ "url": "https://boards-api.greenhouse.io/v1/boards/stripe/jobs" }],"maxItems": 50}
Add one object per company board to startUrls to pull multiple companies in a single run.
Output
{"job_id": 8130725,"title": "Account Executive, AI Startups (Hunter)","company_name": "Stripe","company_slug": "stripe","location": "San Francisco","absolute_url": "https://stripe.com/jobs/search?gh_jid=8130725","requisition_id": "See Opening ID","internal_job_id": 3520748,"updated_at": "2026-08-19T14:02:07-04:00","first_published": "2026-08-19T14:02:07-04:00","application_deadline": "","education": "education_required","language": "en","gdpr_consent_required": false}
Pricing
Pay per event: $0.00005 per run started (charged once, regardless of how many boards or jobs are in that run). Scraping a single company's full board, or several boards in one run, costs a fraction of a cent.
Use cases
- Sourcers building a lead list of open roles at target companies for outbound recruiting.
- Job-board aggregators syncing a Greenhouse-powered employer's listings into their own site on a schedule.
- Talent teams tracking a competitor's hiring velocity by monitoring new
first_publisheddates on their board over time.