Greenhouse Jobs Scraper & Monitor
Pricing
from $0.19 / 1,000 greenhouse job results
Go to Apify Store
Greenhouse Jobs Scraper & Monitor
Greenhouse jobs scraper for known public boards with snapshots, exact details and explicit change monitoring.
Greenhouse Jobs Scraper & Monitor
Pricing
from $0.19 / 1,000 greenhouse job results
Greenhouse jobs scraper for known public boards with snapshots, exact details and explicit change monitoring.
You can access the Greenhouse Jobs Scraper & Monitor programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "0.3", "x-build-id": "NwhLsCY64IZ096ZHQ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/cliqtomedia~greenhouse-jobs-monitor-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-cliqtomedia-greenhouse-jobs-monitor-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/cliqtomedia~greenhouse-jobs-monitor-scraper/runs": { "post": { "operationId": "runs-sync-cliqtomedia-greenhouse-jobs-monitor-scraper", "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/cliqtomedia~greenhouse-jobs-monitor-scraper/run-sync": { "post": { "operationId": "run-sync-cliqtomedia-greenhouse-jobs-monitor-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "snapshot", "details", "monitor" ], "type": "string", "description": "Snapshot lists current jobs; details fetches exact board/job pairs; monitor compares an explicit prior KVS snapshot.", "default": "snapshot" }, "boards": { "title": "Board tokens or URLs", "minItems": 1, "maxItems": 100, "type": "array", "description": "For snapshot/monitor. Accepts up to 100 tokens or current/legacy US/EU Greenhouse board URLs.", "items": { "type": "string", "minLength": 2, "maxLength": 500 } }, "jobs": { "title": "Exact jobs", "minItems": 1, "maxItems": 500, "type": "array", "description": "For details mode. Use token/numeric-ID or an allowed Greenhouse job URL.", "items": { "type": "string", "minLength": 3, "maxLength": 500 } }, "baselineKeyValueStoreId": { "title": "Prior snapshot KVS ID", "pattern": "^[A-Za-z0-9_-]{5,80}$", "type": "string", "description": "Monitor only. Read SNAPSHOT from a prior run; the prior store is never modified." }, "monitorOutput": { "title": "Monitor output", "enum": [ "changes_only", "all" ], "type": "string", "description": "Emit only changes by default, or include unchanged comparable jobs as well.", "default": "changes_only" }, "includeContent": { "title": "Include job description", "type": "boolean", "description": "Adds HTML and normalized text and increases response size.", "default": false }, "includeQuestions": { "title": "Include public application questions", "type": "boolean", "description": "Adds one detail request per job; no answers or applications are submitted.", "default": false }, "includePayTransparency": { "title": "Include structured pay ranges", "type": "boolean", "description": "Adds one detail request per job; values exist only when the employer exposes them.", "default": false }, "titleKeywords": { "title": "Title keywords", "maxItems": 20, "type": "array", "description": "Keep jobs whose title contains at least one case-insensitive keyword.", "items": { "type": "string", "maxLength": 200 } }, "contentKeywords": { "title": "Description keywords", "maxItems": 20, "type": "array", "description": "Keep jobs whose description contains at least one case-insensitive keyword.", "items": { "type": "string", "maxLength": 200 } }, "locations": { "title": "Locations", "maxItems": 20, "type": "array", "description": "Keep jobs matching at least one case-insensitive location substring.", "items": { "type": "string", "maxLength": 200 } }, "departments": { "title": "Departments", "maxItems": 20, "type": "array", "description": "Keep jobs matching at least one case-insensitive department substring.", "items": { "type": "string", "maxLength": 200 } }, "offices": { "title": "Offices", "maxItems": 20, "type": "array", "description": "Keep jobs matching at least one case-insensitive office substring.", "items": { "type": "string", "maxLength": 200 } }, "firstPublishedAfter": { "title": "First published on/after", "type": "string", "description": "ISO date or instant, inclusive." }, "updatedAfter": { "title": "Updated on/after", "type": "string", "description": "ISO date or instant, inclusive." }, "maxJobsPerBoard": { "title": "Maximum matching jobs per board", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Stop output after this many matching jobs per board and report the board as partial.", "default": 5000 }, "maxJobsTotal": { "title": "Maximum matching jobs total", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Stop output after this many matching jobs across the run and report omitted work.", "default": 10000 } } }, "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 } } } } } } } } }}OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for Greenhouse Jobs Scraper & Monitor from the options below:
If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.
You can also check out our other API clients: