# Job Postings Scraper - Greenhouse, Lever & Ashby (Multi-ATS) (`bujhmml/ats-jobs-scraper`) Actor Scrape live job postings from any Greenhouse, Lever, or Ashby careers board by slug, URL, or auto-detect. Returns title, location, department, employment type, remote flag, salary, apply URL and dates. Built-in keyword, location, department and remote filters. HTTP-first, no auth, no anti-bot. - **URL**: https://apify.com/bujhmml/ats-jobs-scraper.md - **Developed by:** [Ihor Bielievskiy](https://apify.com/bujhmml) (community) - **Categories:** Jobs, Lead generation - **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.40 / 1,000 jobs 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 ## Job Postings Scraper - Greenhouse, Lever & Ashby (Multi-ATS) Pull live job openings from any company that hires on **Greenhouse**, **Lever**, or **Ashby**. Give it a company slug, paste a careers-board URL, or let it auto-detect the platform for you. Every posting comes back as one clean, normalized row no matter which ATS it came from: title, location, department, team, employment type, remote flag, salary (where the ATS exposes it), the listing and apply URLs, created/updated dates, and the full description in both plain text and HTML. Export as JSON, CSV, or Excel. It calls each ATS's own public job-board API directly instead of driving a headless browser, so it's fast, needs no login, and doesn't trip anti-bot. Mix as many boards and ATS types as you want in a single run. ### Three ways to point it at a board You can put any of these in the `sources` array, and mix them freely: 1. **Explicit object** — `{ "ats": "greenhouse", "company": "stripe" }` 2. **Pasted board URL** — `"https://jobs.lever.co/spotify"` or `"https://boards.greenhouse.io/stripe"` (the ATS and slug are read straight out of the URL) 3. **Bare company slug** — `"ramp"` (the actor probes Greenhouse, Lever, and Ashby and uses whichever one has a board) The `company` slug is the identifier in the careers-page URL: `boards.greenhouse.io/`**`stripe`**, `jobs.lever.co/`**`spotify`**, `jobs.ashbyhq.com/`**`ramp`**. Underlying endpoints: - **`greenhouse`** — `boards-api.greenhouse.io/v1/boards/{company}/jobs` - **`lever`** — `api.lever.co/v0/postings/{company}` - **`ashby`** — `api.ashbyhq.com/posting-api/job-board/{company}` ### Filters Narrow the run before anything is billed — filtered-out rows never cost you a thing: - `titleKeyword` — title must contain this text - `locationKeyword` — location must contain this text - `department` — department or team must contain this text - `remoteOnly` — keep only jobs detected as fully remote ### Input | Field | Type | Description | |-------|------|-------------| | `sources` | array | Board objects `{ats, company}`, board URLs, or bare slugs (any mix). Required. | | `titleKeyword` | string | Keep only jobs whose title contains this (case-insensitive). | | `locationKeyword` | string | Keep only jobs whose location contains this (case-insensitive). | | `department` | string | Keep only jobs whose department or team contains this (case-insensitive). | | `remoteOnly` | boolean | Keep only fully-remote jobs. | | `maxItems` | integer | Stop after this many rows across all boards (0 = no limit). | | `impersonate` | string | Browser TLS fingerprint (`chrome` by default). | ```json { "sources": [ { "ats": "greenhouse", "company": "stripe" }, "https://jobs.lever.co/spotify", "ramp" ], "titleKeyword": "engineer", "remoteOnly": true, "maxItems": 500 } ```` ### Output fields One row per posting. A check means the field is populated when that ATS provides it; otherwise it's `null`. | Field | Type | Greenhouse | Lever | Ashby | |-------|------|:---:|:---:|:---:| | `source_ats` | string | ✅ | ✅ | ✅ | | `company` | string | ✅ | ✅ | ✅ | | `job_id` | string | ✅ | ✅ | ✅ | | `global_id` | string `{ats}:{company}:{job_id}` | ✅ | ✅ | ✅ | | `title` | string | ✅ | ✅ | ✅ | | `location` | string | ✅ | ✅ | ✅ | | `department` | string | ✅ | ✅ | ✅ | | `team` | string | — | ✅ | ✅ | | `employment_type` | string | — | ✅ | ✅ | | `remote` | boolean | inferred | ✅ | ✅ | | `remote_type` | `remote`/`hybrid`/`onsite` | inferred | ✅ | ✅ | | `salary` | string | — | when set | when set | | `url` | string (listing) | ✅ | ✅ | ✅ | | `apply_url` | string | — | ✅ | ✅ | | `created_at` | ISO 8601 | ✅ | ✅ | ✅ | | `updated_at` | ISO 8601 | ✅ | — | when set | | `posted_at` | ISO 8601 | ✅ | ✅ | ✅ | | `scraped_at` | ISO 8601 | ✅ | ✅ | ✅ | | `description` | plain text | ✅ | ✅ | ✅ | | `description_html` | HTML | ✅ | ✅ | ✅ | `global_id` is stable across runs, so you can diff datasets or join against your own systems. Greenhouse's board API has no employment-type, team, or salary, no explicit remote flag, and no separate apply endpoint — `remote`/`remote_type` there are inferred from the location and title text (treat them as best-effort for that source), and `apply_url` is `null` since the listing `url` is the only link Greenhouse exposes. ### Example output ```json { "source_ats": "lever", "company": "spotify", "job_id": "88499546-e9f7-4403-87a5-240050bd7c5b", "global_id": "lever:spotify:88499546-e9f7-4403-87a5-240050bd7c5b", "title": "Accounts Payable Analyst", "location": "New York, NY", "department": "Finance", "team": "Accounting", "employment_type": "Permanent", "remote": false, "remote_type": "hybrid", "salary": null, "url": "https://jobs.lever.co/spotify/88499546-e9f7-4403-87a5-240050bd7c5b", "apply_url": "https://jobs.lever.co/spotify/88499546-e9f7-4403-87a5-240050bd7c5b/apply", "created_at": "2026-05-11T11:20:11.285000+00:00", "updated_at": null, "posted_at": "2026-05-11T11:20:11.285000+00:00", "scraped_at": "2026-06-24T09:15:02.110000+00:00", "description": "Spotify is looking for an Accounts Payable Analyst ..." } ``` ### Why this one - **One shape for every ATS.** Greenhouse, Lever, and Ashby each return a different JSON structure; this maps all of them to the same fields, so you can dump multiple companies into one dataset and not care where each row came from. - **Paste a URL or just a name.** No need to know which ATS a company uses — paste the careers link or the bare slug and it figures the rest out. - **Nothing fails silently.** A wrong slug, a failed request, or an API that changes shape gives you a typed error row (`fetch_failed`, `parse_failed`, `invalid_source`, `invalid_input`) instead of a quietly empty run. One bad board never aborts the rest, but if *every* source fails the run is marked failed (not a green empty dataset), and a rate-limit/anti-bot block (HTTP 403/429/5xx) is reported as a block rather than a false "no board found". - **You're billed per valid posting delivered**, so error rows, duplicates, and rows you filter out don't cost you anything. - **Duplicates are removed** within a run, per ATS, by job id. ### Notes Only public, unauthenticated job-board APIs are used — the same data these companies publish on their own careers pages. Follow each provider's Terms and the laws that apply to you, and use the data responsibly. ### Who built this I build scrapers for my own projects and publish the ones that turn out genuinely useful. This is one of them. If you need a custom scraper, a data pipeline, or a change to this actor, I'm available for freelance work. GitHub: [github.com/bujhmml](https://github.com/bujhmml) · Site: [bujhmml.fun](https://bujhmml.fun) # Actor input Schema ## `sources` (type: `array`): Boards to scrape. Each item can be: an object `{ "ats": "greenhouse|lever|ashby", "company": "" }`, a pasted board URL (e.g. https://boards.greenhouse.io/stripe, https://jobs.lever.co/spotify, https://jobs.ashbyhq.com/ramp), or a bare company slug as a string (the ATS is auto-detected by probing all three platforms). The slug is the identifier in the careers URL: boards.greenhouse.io/. ## `titleKeyword` (type: `string`): Keep only jobs whose title contains this text (case-insensitive). Filtered-out rows are not billed. ## `locationKeyword` (type: `string`): Keep only jobs whose location contains this text (case-insensitive). Filtered-out rows are not billed. ## `department` (type: `string`): Keep only jobs whose department or team contains this text (case-insensitive). Filtered-out rows are not billed. ## `remoteOnly` (type: `boolean`): Keep only jobs detected as fully remote. Filtered-out rows are not billed. ## `maxItems` (type: `integer`): Stop after this many job rows across all boards. 0 = no limit. ## `impersonate` (type: `string`): curl\_cffi impersonation target used for requests. ## Actor input object example ```json { "sources": [ { "ats": "greenhouse", "company": "stripe" }, { "ats": "lever", "company": "spotify" }, { "ats": "ashby", "company": "ramp" } ], "remoteOnly": false, "maxItems": 100, "impersonate": "chrome" } ``` # 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 = { "sources": [ { "ats": "greenhouse", "company": "stripe" }, { "ats": "lever", "company": "spotify" }, { "ats": "ashby", "company": "ramp" } ], "maxItems": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("bujhmml/ats-jobs-scraper").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 = { "sources": [ { "ats": "greenhouse", "company": "stripe", }, { "ats": "lever", "company": "spotify", }, { "ats": "ashby", "company": "ramp", }, ], "maxItems": 100, } # Run the Actor and wait for it to finish run = client.actor("bujhmml/ats-jobs-scraper").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 '{ "sources": [ { "ats": "greenhouse", "company": "stripe" }, { "ats": "lever", "company": "spotify" }, { "ats": "ashby", "company": "ramp" } ], "maxItems": 100 }' | apify call bujhmml/ats-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=bujhmml/ats-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Job Postings Scraper - Greenhouse, Lever & Ashby (Multi-ATS)", "description": "Scrape live job postings from any Greenhouse, Lever, or Ashby careers board by slug, URL, or auto-detect. Returns title, location, department, employment type, remote flag, salary, apply URL and dates. Built-in keyword, location, department and remote filters. HTTP-first, no auth, no anti-bot.", "version": "1.1", "x-build-id": "DCr6fSU6Ei4URnTlJ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/bujhmml~ats-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-bujhmml-ats-jobs-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/bujhmml~ats-jobs-scraper/runs": { "post": { "operationId": "runs-sync-bujhmml-ats-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/bujhmml~ats-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-bujhmml-ats-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "sources" ], "properties": { "sources": { "title": "Company boards", "type": "array", "description": "Boards to scrape. Each item can be: an object `{ \"ats\": \"greenhouse|lever|ashby\", \"company\": \"\" }`, a pasted board URL (e.g. https://boards.greenhouse.io/stripe, https://jobs.lever.co/spotify, https://jobs.ashbyhq.com/ramp), or a bare company slug as a string (the ATS is auto-detected by probing all three platforms). The slug is the identifier in the careers URL: boards.greenhouse.io/." }, "titleKeyword": { "title": "Title contains", "type": "string", "description": "Keep only jobs whose title contains this text (case-insensitive). Filtered-out rows are not billed." }, "locationKeyword": { "title": "Location contains", "type": "string", "description": "Keep only jobs whose location contains this text (case-insensitive). Filtered-out rows are not billed." }, "department": { "title": "Department / team contains", "type": "string", "description": "Keep only jobs whose department or team contains this text (case-insensitive). Filtered-out rows are not billed." }, "remoteOnly": { "title": "Remote only", "type": "boolean", "description": "Keep only jobs detected as fully remote. Filtered-out rows are not billed.", "default": false }, "maxItems": { "title": "Max results", "minimum": 0, "type": "integer", "description": "Stop after this many job rows across all boards. 0 = no limit.", "default": 100 }, "impersonate": { "title": "Browser TLS fingerprint", "enum": [ "chrome", "chrome131", "chrome124", "safari17_0" ], "type": "string", "description": "curl_cffi impersonation target used for requests.", "default": "chrome" } } }, "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 } } } } } } } } } } ```