# Greenhouse Jobs Scraper & API (`camiloop96/greenhouse-jobs`) Actor Extract all job postings from any Greenhouse career board via the official public API. Fast, no headless browser, no proxies. Clean normalized schema. Ideal for job boards, ATS aggregators, hiring-signal intel and AI agents. - **URL**: https://apify.com/camiloop96/greenhouse-jobs.md - **Developed by:** [Camilo Polania](https://apify.com/camiloop96) (community) - **Categories:** Jobs, Automation, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $2.00 / 1,000 job returneds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ## SmartRecruiters Jobs Scraper & API 🎯 Extract **all job postings from any SmartRecruiters career site** — fast, reliable, and in a clean normalized format. Powered by the **official SmartRecruiters public API** (no headless browser, no proxies, no anti-bot games), so runs are cheap and stable. Perfect for **job boards, ATS aggregators, recruitment tools, market research, and AI agents** that need fresh hiring data. --- ### ✨ Why this actor - **Official API, not scraping** — uses `api.smartrecruiters.com`, so it doesn't break when a website redesigns. Low maintenance, low cost. - **Normalized output** — every job comes back in the same clean schema, so you can plug it straight into your pipeline (and combine it with our other ATS actors). - **URL or identifier** — pass a company id (`BoschGroup`) or a full careers URL; the actor auto-detects the company. - **Pay only for what you get** — billed per job delivered. No subscriptions, no wasted spend. - **Optional full descriptions** — fetch complete posting text when you need it, skip it when you don't. ### 🚀 Input | Field | Type | Description | |---|---|---| | `companies` | array | SmartRecruiters company identifiers or careers URLs. **Required.** | | `includeDescription` | boolean | Fetch full description per job (extra API call each). Default `false`. | | `maxJobsPerCompany` | integer | Cap jobs per company. `0` = no limit. | | `country` | string | Optional ISO country filter (e.g. `us`, `de`). | ```json { "companies": ["BoschGroup", "Visa", "https://jobs.smartrecruiters.com/Ubisoft"], "includeDescription": false, "maxJobsPerCompany": 0, "country": "" } ```` ### 📤 Output Each job is a normalized record: ```json { "id": "744000129971988", "source": "smartrecruiters", "company": "Visa", "companyId": "Visa", "title": "Director", "department": "Cyber Security", "location": "Bengaluru, KA, India", "city": "Bengaluru", "region": "KA", "country": "in", "remote": false, "employmentType": "Full-time", "postedAt": "2026-06-03T11:08:12.368Z", "url": "https://jobs.smartrecruiters.com/Visa/744000129971988", "applyUrl": null, "description": null, "raw": { "...": "untouched original payload (lat/long, customFields, etc.)" } } ``` > Need a field SmartRecruiters returns but we didn't surface? It's all in `raw`. ### 💡 Use cases - **Job boards** — fill your site with fresh postings from hundreds of companies. - **ATS aggregators** — one schema across SmartRecruiters, Lever, Ashby and more (see our other actors). - **Hiring-signal & sales intel** — track which companies are hiring, in which departments, where. - **AI agents / RAG** — feed structured, current job data to your LLM workflows. ### 💸 Pricing **Pay-per-event:** you're charged per job returned. Listing jobs is cheap; turn on `includeDescription` only when you need full text. No monthly fee. ### ❓ FAQ **Where do I find a company's identifier?** It's in its SmartRecruiters careers URL: `jobs.smartrecruiters.com/`. You can also paste the full URL. **Does it need an API key or login?** No. It uses public endpoints. **How fresh is the data?** Live — every run hits the API in real time. **A company returned 0 jobs?** It either has no open postings or the identifier is wrong. Paste the full careers URL to be safe. *** Part of a family of ATS job actors. Need another ATS (Lever, Ashby, Greenhouse, Recruitee, Workable)? Check our other actors or get in touch. # Actor input Schema ## `companies` (type: `array`): Greenhouse board tokens or career-site URLs. Examples: "gitlab", "stripe", or "https://boards.greenhouse.io/gitlab". ## `includeDescription` (type: `boolean`): Fetch the full description (HTML) per job via ?content=true. Larger payload. ## `maxJobsPerCompany` (type: `integer`): Limit the number of jobs fetched per company. 0 = no limit. ## `country` (type: `string`): Optional country filter (matched loosely against the posting location). Leave empty for all. ## Actor input object example ```json { "companies": [ "gitlab" ], "includeDescription": false, "maxJobsPerCompany": 0 } ``` # 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 = { "companies": [ "gitlab" ] }; // Run the Actor and wait for it to finish const run = await client.actor("camiloop96/greenhouse-jobs").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 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); }); // 📚 Want to learn more 📖? Go to → 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 = { "companies": ["gitlab"] } # Run the Actor and wait for it to finish run = client.actor("camiloop96/greenhouse-jobs").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "companies": [ "gitlab" ] }' | apify call camiloop96/greenhouse-jobs --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=camiloop96/greenhouse-jobs", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Greenhouse Jobs Scraper & API", "description": "Extract all job postings from any Greenhouse career board via the official public API. Fast, no headless browser, no proxies. Clean normalized schema. Ideal for job boards, ATS aggregators, hiring-signal intel and AI agents.", "version": "0.1", "x-build-id": "NXstCgV6L90EMvweU" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/camiloop96~greenhouse-jobs/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-camiloop96-greenhouse-jobs", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/camiloop96~greenhouse-jobs/runs": { "post": { "operationId": "runs-sync-camiloop96-greenhouse-jobs", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/camiloop96~greenhouse-jobs/run-sync": { "post": { "operationId": "run-sync-camiloop96-greenhouse-jobs", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "companies" ], "properties": { "companies": { "title": "Companies", "type": "array", "description": "Greenhouse board tokens or career-site URLs. Examples: \"gitlab\", \"stripe\", or \"https://boards.greenhouse.io/gitlab\".", "items": { "type": "string" } }, "includeDescription": { "title": "Include full job description", "type": "boolean", "description": "Fetch the full description (HTML) per job via ?content=true. Larger payload.", "default": false }, "maxJobsPerCompany": { "title": "Max jobs per company", "minimum": 0, "type": "integer", "description": "Limit the number of jobs fetched per company. 0 = no limit.", "default": 0 }, "country": { "title": "Country filter", "type": "string", "description": "Optional country filter (matched loosely against the posting location). Leave empty for all." } } }, "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 } } } } } } } } } } ```