Home › Actors › Open jobs from Greenhouse, Lever and Ashby career pages › Data and schema
This is the machine-readable side of Open jobs from Greenhouse, Lever and Ashby career pages: the columns its dataset contains, taken from a real sample run of 12 rows and 18 columns. Fill rate counts how many of the 12 sample rows have a value. Contact fields are withheld here.
| column | type | filled | example |
|---|---|---|---|
| company | text | 12/12 | Airbnb |
| companySlug | text | 12/12 | airbnb |
| ats | text | 12/12 | greenhouse |
| jobId | integer | 12/12 | 8262207 |
| title | text | 12/12 | Product Manager, API Platform |
| department | text | 12/12 | Product Management |
| location | text | 12/12 | United States |
| postedAt | date/time (ISO) | 12/12 | 2026-10-09T20:49:23.000Z |
| updatedAt | date/time (ISO) | 12/12 | 2026-10-09T20:49:23.000Z |
| applyUrl | text | 12/12 | https://careers.airbnb.com/positions/8262207?gh_... |
| jobUrl | text | 12/12 | https://careers.airbnb.com/positions/8262207?gh_... |
| salaryMin | integer | 9/12 | 200000 |
| salaryMax | integer | 9/12 | 240000 |
| salaryCurrency | text | 9/12 | USD |
| salaryPeriod | text | 9/12 | year |
| sourceUrl | text | 12/12 | https://boards-api.greenhouse.io/v1/boards/airbn... |
| seniority | text | 12/12 | mid |
| scrapedAt | date/time (ISO) | 12/12 | 2026-10-11T04:30:05.629Z |
| company | companySlug | ats | jobId | title | department | location | postedAt |
|---|---|---|---|---|---|---|---|
| Airbnb | airbnb | greenhouse | 8262207 | Product Manager, API Platform | Product Management | United States | 2026-10-09T20:49:23.000Z |
| Airbnb | airbnb | greenhouse | 8242248 | Staff Software Engineer, Data Authoring | Software Engineering | USA | 2026-10-09T18:07:33.000Z |
| Airbnb | airbnb | greenhouse | 8262769 | Staff Software Engineer, iOS Platform | Software Engineering | United States | 2026-10-09T04:06:42.000Z |
| Airbnb | airbnb | greenhouse | 8262812 | Senior Software Engineer, iOS Platform | Software Engineering | United States | 2026-10-09T04:03:32.000Z |
| Airbnb | airbnb | greenhouse | 8242459 | Business Operations and Growth Lead, Asia | Business Operations/Analysis | Singapore | 2026-10-08T06:58:03.000Z |
Download the full sample CSV (raw file on GitHub). Long values are shortened above.
From the actor's current input schema on Apify.
| field | type | label | default |
|---|---|---|---|
| companies (required) | array | Companies (career-page URLs, names or slugs) | ["airbnb", "https://jobs.lever.co/spotif |
| companyPreset | string | Company preset | "" |
| keywords | array | Keyword filter (any match) | |
| locations | array | Locations (any match) | |
| remoteOnly | boolean | Remote jobs only | false |
| maxJobsPerCompany | integer | Max jobs per company | 100 |
| excludeKeywords | array | Exclude keywords | |
| departments | array | Departments (substring, any match) | |
| employmentTypes | array | Employment types | |
| queries | array | Job title keywords | |
| includeCompanies | array | Only these companies | |
| excludeCompanies | array | Exclude companies | |
| postedAfter | string | Posted on or after | |
| postedBefore | string | Posted on or before | |
| minSalary | integer | Minimum yearly salary | |
| maxSalary | integer | Maximum yearly salary | |
| workModels | array | Work models | |
| skillsInclude | array | Skills or tools required (any) | |
| skillsExclude | array | Skills or words to exclude | |
| postedWithinDays | integer | Posted within last N days | 0 |
| onlyNewSinceLastRun | boolean | Only new since last run (deduped) | true |
| maxJobsTotal | integer | Max jobs per run | 200 |
| includeDescription | boolean | Include description text | true |
| stateStoreName | string | Dedupe store name | "ats-open-roles-seen" |
| monitorMode | boolean | Monitor mode (only new or changed) | false |
| reportRemoved | boolean | Also report removed (monitor mode) | false |
| monitorName | string | Monitor name | "default" |
$0.002 per job extracted (pay per event). Read from the Apify actor record on 2026-10-14; the live price on the actor page always wins.
Successful builds of the published actor, newest first (39 builds in total). Apify records build numbers and dates, not release notes, so this lists what shipped and when.
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