# ๐ŸŒฑ Greenhouse Jobs API (`simpleapi/greenhouse-jobs-api`) Actor ๐ŸŒฑ Greenhouse Jobs API streamlines job data access from Greenhouse ATS. Fetch listings, details, and metadata fast for recruitment, analytics, and B2B automation. ๐Ÿš€ Build smarter hiring workflows with clean, reliable endpoints. - **URL**: https://apify.com/simpleapi/greenhouse-jobs-api.md - **Developed by:** [SimpleAPI](https://apify.com/simpleapi) (community) - **Categories:** Jobs, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.99 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## ๐ŸŒฑ Greenhouse Jobs API Scraper Pull **every public job posting** from any company that hosts its careers page on **Greenhouse** โ€” straight from the official Greenhouse Boards API. Just paste one or more board URLs and get a clean, structured dataset with **94 fields per job**, including geocoded locations and published salary ranges. > โšก No login. No browser. Direct from `boards-api.greenhouse.io`. --- ### ๐Ÿ’ก Why Choose This Actor? - **๐ŸŽฏ Source-direct** โ€” reads the official Greenhouse Boards API, so data is fresh and complete (no stale aggregation). - **๐Ÿ”— Bulk input** โ€” drop in as many board URLs as you like; tokens are auto-extracted from any Greenhouse URL format. - **๐ŸŒ Geocoding built in** โ€” messy office addresses are resolved to city / region / country / timezone / lat-lng via OpenStreetMap, and cached for fast repeat runs. - **๐Ÿ’ฐ Salary enrichment** โ€” pulls published pay-transparency ranges per job. - **๐Ÿ›ก๏ธ Bulletproof proxy fallback** โ€” starts direct, then automatically climbs to datacenter and residential proxies only if Greenhouse pushes back. - **๐Ÿ“Š 94-field schema** โ€” the same comprehensive shape used by premium ATS feeds. --- ### โœจ Key Features | Feature | Description | |---------|-------------| | ๐Ÿ” Title / Location / Org / Domain filters | Include & exclude lists with `:*` prefix matching | | ๐Ÿ“ Description search | Full-text search across title + description | | ๐Ÿ’ต Salary ranges | Per-job pay-transparency data | | ๐ŸŒ Derived location fields | Cities, regions, countries, timezones, lat/lng | | ๐Ÿงพ Text or HTML descriptions | Your choice | | ๐Ÿ›ก๏ธ Proxy ladder | direct โ†’ datacenter โ†’ residential (sticky) | | ๐Ÿ“ค Live saving | Records stream to the dataset as they finish | --- ### ๐Ÿ“ฅ Input | Field | Type | Description | |-------|------|-------------| | `urls` โœ… | array | Greenhouse board URLs or plain tokens (bulk). **Required.** | | `limit` | integer | Max jobs per run (200โ€“5000). | | `includeCompanyDetails` | boolean | Include company-data columns (LinkedIn/Crunchbase/logo). | | `titleSearch` / `titleExclusionSearch` | array | Keep / drop by title. | | `locationSearch` / `locationExclusionSearch` | array | Keep / drop by location. | | `organizationSearch` / `organizationExclusionSearch` | array | Keep / drop by company. | | `domainFilter` / `domainExclusionFilter` | array | Keep / drop by company domain (exact). | | `descriptionSearch` / `descriptionExclusionSearch` | array | Search/exclude in title + description. | | `descriptionType` | string | `text` or `html`. | | `hasSalary` | boolean | Keep only jobs with a published salary. | | `fetchSalaryData` | boolean | Fetch pay ranges even when `hasSalary` is off. | | `geocodeLocations` | boolean | Fill the `*_derived` location fields. | | `maxRetries` / `concurrency` | integer | Tuning knobs. | | `proxyConfiguration` | object | Proxy settings (defaults to **no proxy**). | #### Example input ```json { "urls": [ { "url": "https://job-boards.greenhouse.io/datadog" }, { "url": "https://job-boards.greenhouse.io/stripe" } ], "limit": 200, "titleSearch": ["Engineer:*"], "fetchSalaryData": true, "geocodeLocations": true, "proxyConfiguration": { "useApifyProxy": false } } ```` *** ### ๐Ÿ“ค Output Each record follows the full **94-field schema**. The dataset ships with **5 per-section views** in the Console: **๐Ÿ“‹ Overview**, **๐ŸŒ Location**, **๐Ÿ’ฐ Salary**, **๐Ÿข Company**, **๐Ÿ“ Description**. #### Example record (truncated) ```json { "id": 4567890, "title": "Senior Software Engineer", "organization": "Datadog", "url": "https://job-boards.greenhouse.io/datadog/jobs/4567890", "source": "greenhouse", "source_domain": "job-boards.greenhouse.io", "date_posted": "2026-06-11T10:22:02", "locations_alt": ["New York, NY"], "cities_derived": ["New York"], "regions_derived": ["New York"], "countries_derived": ["United States"], "timezones_derived": ["America/New_York"], "lats_derived": [40.7127281], "lngs_derived": [-74.0060152], "ai_salary_currency": "USD", "ai_salary_min_value": 150000.0, "ai_salary_max_value": 220000.0, "ai_salary_unit_text": "YEAR", "description_text": "About the role โ€ฆ" } ``` > โ„น๏ธ The `ai_*`, `org_linkedin_*`, `linkedin_org_*`, and `org_crunchbase_*` columns are vendor-side AI/LinkedIn enrichments with no public Greenhouse source. They are present in the schema for parity and emitted as `null` (salary `ai_salary_*` fields are filled from the published pay ranges). *** ### ๐Ÿš€ How to Use (Apify Console) 1. Log in at [console.apify.com](https://console.apify.com) โ†’ **Actors**. 2. Open **Greenhouse Jobs API Scraper**. 3. Paste your Greenhouse board URLs into **๐Ÿ”— Greenhouse Board URLs**. 4. (Optional) Set filters, salary, geocoding, and proxy. 5. Click **Start**. 6. Watch the real-time log as boards are fetched, salaries pulled, and locations geocoded. 7. Open the **Output** tab โ†’ switch between the per-section views. 8. Export to JSON / CSV / XLSX. *** ### ๐Ÿค– Use via API ```bash curl -X POST "https://api.apify.com/v2/acts//run-sync-get-dataset-items?token=$APIFY_TOKEN" \ -H "Content-Type: application/json" \ -d '{"urls":[{"url":"https://job-boards.greenhouse.io/datadog"}],"limit":200}' ``` *** ### ๐ŸŽฏ Best Use Cases - ๐Ÿ“ˆ Job-market & hiring-trend analysis - ๐Ÿงญ Sourcing & recruiting pipelines - ๐Ÿข Competitive hiring intelligence - ๐Ÿ’ผ Building job boards / aggregators *** ### ๐Ÿ’ณ Pricing This actor uses the **Pay-Per-Event** model: | Event | Bills for | |-------|-----------| | `job-item` | Each job posting saved to the dataset | You only pay for the jobs you actually receive. Runs that hit your charge limit stop cleanly. *** ### โ“ FAQ **Which URLs are accepted?** Any Greenhouse board URL โ€” `job-boards.greenhouse.io/`, `boards.greenhouse.io/`, `boards-api.greenhouse.io/v1/boards/`, embed links, or a plain token like `datadog`. **Why are the LinkedIn/Crunchbase columns null?** They require third-party enrichment data that a direct Greenhouse scrape doesn't have. They're kept for schema parity. **Do I need a proxy?** No. The actor runs direct by default and only escalates to datacenter/residential proxies if Greenhouse blocks a request. **How does geocoding work?** Locations are resolved via OpenStreetMap/Nominatim (1 req/s), cached across runs so repeat scrapes are fast. *** ### ๐Ÿ›Ÿ Support & Feedback Found a bug or want a new field? Open an issue on the Actor's **Issues** tab. *** ### โš–๏ธ Legal Data is collected only from **publicly available** Greenhouse job boards. You are responsible for compliance with applicable laws (GDPR, CCPA, target ToS). # Actor input Schema ## `urls` (type: `array`): List one or more Greenhouse job-board URLs (e.g. https://job-boards.greenhouse.io/datadog or https://boards.greenhouse.io/stripe). Plain board tokens (e.g. `datadog`) are also accepted. Bulk input supported. ## `limit` (type: `integer`): Maximum number of jobs to return per run. Minimum 200, maximum 5,000. ๐Ÿ’ก Set memory to 1GB+ for runs above 2,000 jobs. ## `includeCompanyDetails` (type: `boolean`): Include the company-data columns (LinkedIn / Crunchbase / logo). These are vendor-side AI enrichments with no public Greenhouse source โ€” when enabled the columns are present but emitted as null. ## `titleSearch` (type: `array`): Job titles to keep. Use `:*` for prefix matching (e.g. 'Soft:\*' matches 'Software', 'Softball'). Leave empty to keep all titles. ## `titleExclusionSearch` (type: `array`): Job titles to drop. Use `:*` for prefix matching. ## `locationSearch` (type: `array`): Locations to keep (phrase match against the job's location text). E.g. 'Barcelona', 'United Kingdom'. Use `:*` for prefix matching. ## `locationExclusionSearch` (type: `array`): Locations to drop. Use `:*` for prefix matching. ## `descriptionSearch` (type: `array`): โš ๏ธ Intensive. Terms searched in title + description. Be specific and combine with a Title Search. Use `:*` for prefix matching. ## `descriptionExclusionSearch` (type: `array`): โš ๏ธ Intensive. Terms excluded from title + description. Use `:*` for prefix matching. ## `organizationSearch` (type: `array`): Organization names to keep. Use `:*` for prefix matching. ## `organizationExclusionSearch` (type: `array`): Organization names to drop. Use `:*` for prefix matching. ## `domainFilter` (type: `array`): Company domains to keep โ€” exact match (e.g. 'n26.com'). ## `domainExclusionFilter` (type: `array`): Company domains to drop โ€” exact match. ## `descriptionType` (type: `string`): Format of the job description in the output. ## `aiEmploymentTypeFilter` (type: `array`): Filter by employment type. โ„น๏ธ Vendor AI enrichment โ€” a direct Greenhouse scrape has no AI source, so this filter is accepted but not applied. ## `aiWorkArrangementFilter` (type: `array`): Filter by work arrangement. Remote OK = remote with an office available. Remote Solely = remote, no office. โ„น๏ธ Vendor AI enrichment โ€” accepted but not applied on a direct scrape. ## `hasSalary` (type: `boolean`): Keep only jobs that publish a pay range (forces a per-job detail fetch). ## `aiExperienceLevelFilter` (type: `array`): Filter by years of experience. โ„น๏ธ Vendor AI enrichment โ€” accepted but not applied on a direct scrape. ## `aiVisaSponsorshipFilter` (type: `boolean`): Keep only jobs offering visa sponsorship. โ„น๏ธ Vendor AI enrichment โ€” accepted but not applied on a direct scrape. ## `aiTaxonomiesFilter` (type: `array`): Filter by AI taxonomies. โ„น๏ธ Vendor AI enrichment โ€” accepted but not applied on a direct scrape. ## `aiTaxonomiesPrimaryFilter` (type: `array`): Filter by primary AI taxonomy. โ„น๏ธ Vendor AI enrichment โ€” accepted but not applied on a direct scrape. ## `aiTaxonomiesExclusionFilter` (type: `array`): Exclude jobs by AI taxonomies. โš ๏ธ Very broad โ€” may drop relevant jobs. โ„น๏ธ Vendor AI enrichment โ€” accepted but not applied on a direct scrape. ## `removeAgency` (type: `boolean`): Filter out recruitment agencies. โ„น๏ธ Vendor AI enrichment โ€” accepted but not applied on a direct scrape. ## `liIndustryFilter` (type: `array`): Filter by LinkedIn industries. โ„น๏ธ Vendor LinkedIn enrichment โ€” accepted but not applied on a direct scrape. ## `liOrganizationEmployeesLte` (type: `integer`): Keep only companies with at most this many LinkedIn employees. โ„น๏ธ Vendor LinkedIn enrichment โ€” accepted but not applied on a direct scrape. ## `liOrganizationEmployeesGte` (type: `integer`): Keep only companies with at least this many LinkedIn employees. โ„น๏ธ Vendor LinkedIn enrichment โ€” accepted but not applied on a direct scrape. ## `includeLinkedIn` (type: `boolean`): Deprecated alias of 'Include Company Data Fields'. Set to false to drop the company-data columns. ## `remoteOnly` (type: `boolean`): Deprecated. Legacy toggle for remote-only jobs; superseded by AI Work Arrangement. โ„น๏ธ Accepted but not applied on a direct scrape. ## `aiHasSalary` (type: `boolean`): Deprecated alias of 'Only Jobs With Salary'. When true, only jobs with a published pay range are kept. ## `fetchSalaryData` (type: `boolean`): Fetch published pay ranges even when 'Only Jobs With Salary' is off (1 extra request per job; fills salary\_raw + ai\_salary\_\* where the employer publishes a range). ## `geocodeLocations` (type: `boolean`): Resolve job locations via OpenStreetMap/Nominatim to fill the \*\_derived fields (cities / regions / countries / locations / timezones / lat / lng). Rate-limited to 1 request/second; results are cached for fast repeat runs. ## `proxyConfiguration` (type: `object`): Proxy settings. The actor starts with NO proxy (direct). If Greenhouse blocks the request, it automatically falls back to a datacenter proxy, then to a residential proxy (and sticks with residential for the rest of the run). ## Actor input object example ```json { "urls": [ "https://job-boards.greenhouse.io/datadog", "https://job-boards.greenhouse.io/stripe", "https://job-boards.greenhouse.io/robinhood" ], "limit": 20, "includeCompanyDetails": true, "titleSearch": [], "titleExclusionSearch": [], "locationSearch": [], "locationExclusionSearch": [], "descriptionSearch": [], "descriptionExclusionSearch": [], "organizationSearch": [], "organizationExclusionSearch": [], "domainFilter": [], "domainExclusionFilter": [], "descriptionType": "text", "aiEmploymentTypeFilter": [], "aiWorkArrangementFilter": [], "hasSalary": false, "aiExperienceLevelFilter": [], "aiVisaSponsorshipFilter": false, "aiTaxonomiesFilter": [], "aiTaxonomiesPrimaryFilter": [], "aiTaxonomiesExclusionFilter": [], "removeAgency": false, "liIndustryFilter": [], "includeLinkedIn": true, "remoteOnly": false, "aiHasSalary": false, "fetchSalaryData": true, "geocodeLocations": true, "proxyConfiguration": { "useApifyProxy": false } } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "urls": [ "https://job-boards.greenhouse.io/datadog", "https://job-boards.greenhouse.io/stripe", "https://job-boards.greenhouse.io/robinhood" ], "proxyConfiguration": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("simpleapi/greenhouse-jobs-api").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "urls": [ "https://job-boards.greenhouse.io/datadog", "https://job-boards.greenhouse.io/stripe", "https://job-boards.greenhouse.io/robinhood", ], "proxyConfiguration": { "useApifyProxy": False }, } # Run the Actor and wait for it to finish run = client.actor("simpleapi/greenhouse-jobs-api").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "urls": [ "https://job-boards.greenhouse.io/datadog", "https://job-boards.greenhouse.io/stripe", "https://job-boards.greenhouse.io/robinhood" ], "proxyConfiguration": { "useApifyProxy": false } }' | apify call simpleapi/greenhouse-jobs-api --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=simpleapi/greenhouse-jobs-api", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "๐ŸŒฑ Greenhouse Jobs API", "description": "๐ŸŒฑ Greenhouse Jobs API streamlines job data access from Greenhouse ATS. Fetch listings, details, and metadata fast for recruitment, analytics, and B2B automation. ๐Ÿš€ Build smarter hiring workflows with clean, reliable endpoints.", "version": "0.1", "x-build-id": "kAwl7qLHdU0OoJhGR" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/simpleapi~greenhouse-jobs-api/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-simpleapi-greenhouse-jobs-api", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/simpleapi~greenhouse-jobs-api/runs": { "post": { "operationId": "runs-sync-simpleapi-greenhouse-jobs-api", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/simpleapi~greenhouse-jobs-api/run-sync": { "post": { "operationId": "run-sync-simpleapi-greenhouse-jobs-api", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "urls" ], "properties": { "urls": { "title": "๐Ÿ”— Greenhouse Board URLs", "type": "array", "description": "List one or more Greenhouse job-board URLs (e.g. https://job-boards.greenhouse.io/datadog or https://boards.greenhouse.io/stripe). Plain board tokens (e.g. `datadog`) are also accepted. Bulk input supported.", "items": { "type": "string" } }, "limit": { "title": "๐Ÿ“Š Maximum Jobs per Run", "minimum": 20, "maximum": 50000, "type": "integer", "description": "Maximum number of jobs to return per run. Minimum 200, maximum 5,000. ๐Ÿ’ก Set memory to 1GB+ for runs above 2,000 jobs.", "default": 20 }, "includeCompanyDetails": { "title": "๐Ÿข Include Company Data Fields", "type": "boolean", "description": "Include the company-data columns (LinkedIn / Crunchbase / logo). These are vendor-side AI enrichments with no public Greenhouse source โ€” when enabled the columns are present but emitted as null.", "default": true }, "titleSearch": { "title": "๐Ÿ” Title Search", "type": "array", "description": "Job titles to keep. Use `:*` for prefix matching (e.g. 'Soft:*' matches 'Software', 'Softball'). Leave empty to keep all titles.", "default": [], "items": { "type": "string" } }, "titleExclusionSearch": { "title": "๐Ÿšซ Title Exclusion Search", "type": "array", "description": "Job titles to drop. Use `:*` for prefix matching.", "default": [], "items": { "type": "string" } }, "locationSearch": { "title": "๐Ÿ“ Location Search", "type": "array", "description": "Locations to keep (phrase match against the job's location text). E.g. 'Barcelona', 'United Kingdom'. Use `:*` for prefix matching.", "default": [], "items": { "type": "string" } }, "locationExclusionSearch": { "title": "๐Ÿ—บ๏ธ Location Exclusion Search", "type": "array", "description": "Locations to drop. Use `:*` for prefix matching.", "default": [], "items": { "type": "string" } }, "descriptionSearch": { "title": "๐Ÿ“ Description Search (includes title)", "type": "array", "description": "โš ๏ธ Intensive. Terms searched in title + description. Be specific and combine with a Title Search. Use `:*` for prefix matching.", "default": [], "items": { "type": "string" } }, "descriptionExclusionSearch": { "title": "๐Ÿงน Description Exclusion Search (includes title)", "type": "array", "description": "โš ๏ธ Intensive. Terms excluded from title + description. Use `:*` for prefix matching.", "default": [], "items": { "type": "string" } }, "organizationSearch": { "title": "๐Ÿท๏ธ Organization Search", "type": "array", "description": "Organization names to keep. Use `:*` for prefix matching.", "default": [], "items": { "type": "string" } }, "organizationExclusionSearch": { "title": "โ›” Organization Exclusion Search", "type": "array", "description": "Organization names to drop. Use `:*` for prefix matching.", "default": [], "items": { "type": "string" } }, "domainFilter": { "title": "๐ŸŒ Domain Filter", "type": "array", "description": "Company domains to keep โ€” exact match (e.g. 'n26.com').", "default": [], "items": { "type": "string" } }, "domainExclusionFilter": { "title": "๐Ÿšง Domain Exclusion Filter", "type": "array", "description": "Company domains to drop โ€” exact match.", "default": [], "items": { "type": "string" } }, "descriptionType": { "title": "๐Ÿงพ Description Type", "enum": [ "text", "html" ], "type": "string", "description": "Format of the job description in the output.", "default": "text" }, "aiEmploymentTypeFilter": { "title": "๐Ÿง‘โ€๐Ÿ’ผ AI Employment Type", "type": "array", "description": "Filter by employment type. โ„น๏ธ Vendor AI enrichment โ€” a direct Greenhouse scrape has no AI source, so this filter is accepted but not applied.", "items": { "type": "string", "enum": [ "FULL_TIME", "PART_TIME", "CONTRACTOR", "TEMPORARY", "INTERN", "VOLUNTEER", "PER_DIEM", "OTHER" ] }, "default": [] }, "aiWorkArrangementFilter": { "title": "๐Ÿ  AI Work Arrangement", "type": "array", "description": "Filter by work arrangement. Remote OK = remote with an office available. Remote Solely = remote, no office. โ„น๏ธ Vendor AI enrichment โ€” accepted but not applied on a direct scrape.", "items": { "type": "string", "enum": [ "On-site", "Hybrid", "Remote OK", "Remote Solely" ] }, "default": [] }, "hasSalary": { "title": "๐Ÿ’ฐ Only Jobs With Salary", "type": "boolean", "description": "Keep only jobs that publish a pay range (forces a per-job detail fetch).", "default": false }, "aiExperienceLevelFilter": { "title": "๐Ÿ“ˆ AI Experience Level", "type": "array", "description": "Filter by years of experience. โ„น๏ธ Vendor AI enrichment โ€” accepted but not applied on a direct scrape.", "items": { "type": "string", "enum": [ "0-2", "2-5", "5-10", "10+" ] }, "default": [] }, "aiVisaSponsorshipFilter": { "title": "๐Ÿ›‚ AI Visa Sponsorship", "type": "boolean", "description": "Keep only jobs offering visa sponsorship. โ„น๏ธ Vendor AI enrichment โ€” accepted but not applied on a direct scrape.", "default": false }, "aiTaxonomiesFilter": { "title": "๐Ÿ—‚๏ธ AI Taxonomies Filter", "type": "array", "description": "Filter by AI taxonomies. โ„น๏ธ Vendor AI enrichment โ€” accepted but not applied on a direct scrape.", "items": { "type": "string", "enum": [ "Technology", "Healthcare", "Management & Leadership", "Finance & Accounting", "Human Resources", "Sales", "Marketing", "Customer Service & Support", "Education", "Legal", "Engineering", "Science & Research", "Trades", "Construction", "Manufacturing", "Logistics", "Creative & Media", "Hospitality", "Environmental & Sustainability", "Retail", "Data & Analytics", "Software", "Energy", "Agriculture", "Social Services", "Administrative", "Government & Public Sector", "Art & Design", "Food & Beverage", "Transportation", "Consulting", "Sports & Recreation", "Security & Safety" ] }, "default": [] }, "aiTaxonomiesPrimaryFilter": { "title": "๐Ÿ“Œ AI Taxonomies Primary Filter", "type": "array", "description": "Filter by primary AI taxonomy. โ„น๏ธ Vendor AI enrichment โ€” accepted but not applied on a direct scrape.", "items": { "type": "string", "enum": [ "Technology", "Healthcare", "Management & Leadership", "Finance & Accounting", "Human Resources", "Sales", "Marketing", "Customer Service & Support", "Education", "Legal", "Engineering", "Science & Research", "Trades", "Construction", "Manufacturing", "Logistics", "Creative & Media", "Hospitality", "Environmental & Sustainability", "Retail", "Data & Analytics", "Software", "Energy", "Agriculture", "Social Services", "Administrative", "Government & Public Sector", "Art & Design", "Food & Beverage", "Transportation", "Consulting", "Sports & Recreation", "Security & Safety" ] }, "default": [] }, "aiTaxonomiesExclusionFilter": { "title": "๐Ÿงจ AI Taxonomies Exclusion Filter (warning: very broad)", "type": "array", "description": "Exclude jobs by AI taxonomies. โš ๏ธ Very broad โ€” may drop relevant jobs. โ„น๏ธ Vendor AI enrichment โ€” accepted but not applied on a direct scrape.", "items": { "type": "string", "enum": [ "Technology", "Healthcare", "Management & Leadership", "Finance & Accounting", "Human Resources", "Sales", "Marketing", "Customer Service & Support", "Education", "Legal", "Engineering", "Science & Research", "Trades", "Construction", "Manufacturing", "Logistics", "Creative & Media", "Hospitality", "Environmental & Sustainability", "Retail", "Data & Analytics", "Software", "Energy", "Agriculture", "Social Services", "Administrative", "Government & Public Sector", "Art & Design", "Food & Beverage", "Transportation", "Consulting", "Sports & Recreation", "Security & Safety" ] }, "default": [] }, "removeAgency": { "title": "๐Ÿšฎ Remove Agency Jobs", "type": "boolean", "description": "Filter out recruitment agencies. โ„น๏ธ Vendor AI enrichment โ€” accepted but not applied on a direct scrape.", "default": false }, "liIndustryFilter": { "title": "๐Ÿญ LinkedIn Industries", "type": "array", "description": "Filter by LinkedIn industries. โ„น๏ธ Vendor LinkedIn enrichment โ€” accepted but not applied on a direct scrape.", "default": [], "items": { "type": "string" } }, "liOrganizationEmployeesLte": { "title": "๐Ÿ”ฝ LinkedIn Max Company Size", "minimum": 0, "type": "integer", "description": "Keep only companies with at most this many LinkedIn employees. โ„น๏ธ Vendor LinkedIn enrichment โ€” accepted but not applied on a direct scrape." }, "liOrganizationEmployeesGte": { "title": "๐Ÿ”ผ LinkedIn Min Company Size", "minimum": 0, "type": "integer", "description": "Keep only companies with at least this many LinkedIn employees. โ„น๏ธ Vendor LinkedIn enrichment โ€” accepted but not applied on a direct scrape." }, "includeLinkedIn": { "title": "๐Ÿ”— Include LinkedIn Company Data Fields (deprecated, use Include Company Data Fields)", "type": "boolean", "description": "Deprecated alias of 'Include Company Data Fields'. Set to false to drop the company-data columns.", "default": true }, "remoteOnly": { "title": "๐ŸŒ Remote Only (deprecated, use AI Work Arrangement)", "type": "boolean", "description": "Deprecated. Legacy toggle for remote-only jobs; superseded by AI Work Arrangement. โ„น๏ธ Accepted but not applied on a direct scrape.", "default": false }, "aiHasSalary": { "title": "๐Ÿ’ต AI Has Salary (deprecated, use Only Jobs With Salary)", "type": "boolean", "description": "Deprecated alias of 'Only Jobs With Salary'. When true, only jobs with a published pay range are kept.", "default": false }, "fetchSalaryData": { "title": "๐Ÿ’ต Fetch Salary Data", "type": "boolean", "description": "Fetch published pay ranges even when 'Only Jobs With Salary' is off (1 extra request per job; fills salary_raw + ai_salary_* where the employer publishes a range).", "default": true }, "geocodeLocations": { "title": "๐ŸŒ Geocode Locations", "type": "boolean", "description": "Resolve job locations via OpenStreetMap/Nominatim to fill the *_derived fields (cities / regions / countries / locations / timezones / lat / lng). Rate-limited to 1 request/second; results are cached for fast repeat runs.", "default": true }, "proxyConfiguration": { "title": "๐Ÿ›ก๏ธ Proxy Configuration", "type": "object", "description": "Proxy settings. The actor starts with NO proxy (direct). If Greenhouse blocks the request, it automatically falls back to a datacenter proxy, then to a residential proxy (and sticks with residential for the rest of the run).", "default": { "useApifyProxy": false } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```