# Job Postings Aggregator – Multi-ATS Jobs Feed (`deadwood_data_solutions/jobs-aggregator`) Actor One feed of new job postings across Greenhouse, Lever, Ashby, SmartRecruiters and Recruitee. Filter by title, location or remote; dedup means scheduled runs only return new roles. For recruiters, job boards and hiring-signal feeds. - **URL**: https://apify.com/deadwood\_data\_solutions/jobs-aggregator.md - **Developed by:** [K O](https://apify.com/deadwood_data_solutions) (community) - **Categories:** Jobs, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 Aggregator – Multi-ATS Jobs Feed One clean feed of **new job postings across five major ATS platforms** — Greenhouse, Lever, Ashby, SmartRecruiters and Recruitee — from a single company list. Filter by title, location, or remote, and let built-in deduplication mean a **scheduled run only returns newly-posted roles**. Every job comes back in the same normalized shape no matter which ATS it came from. ### Who uses it Recruiters and sourcers tracking a list of target companies, niche and aggregator job boards, sales teams watching accounts for hiring signals, and labor-market/HR-tech products that need one consistent jobs schema instead of five different APIs. ### Why this is worth charging for Each ATS has its own API, its own field names, its own quirks (Lever hands you epoch milliseconds, Recruitee a non-standard timestamp, SmartRecruiters pages by offset and nests every value behind `{label}`). Wiring up all five and diffing runs to find what's new is real work. This actor gives you **one input, one output schema, one dedup layer** — and only charges for jobs that pass your filters. ### Input | Field | Description | |---|---| | `sources` | List of `":"` entries. Supported ats: `greenhouse`, `lever`, `ashby`, `smartrecruiters`, `recruitee`. The company is the slug from that ATS's careers URL. E.g. `greenhouse:stripe`, `lever:ro`, `ashby:Ramp`. | | `titleIncludes` | Keep only jobs whose title contains one of these keywords (case-insensitive). Empty = all. | | `locationIncludes` | Keep only jobs whose location contains one of these keywords. Empty = all. | | `remoteOnly` | Keep only remote-flagged roles (or locations mentioning remote). | | `onlyNewSinceLastRun` | Recommended for schedules — skips jobs already returned by a previous run. | | `maxItems` | Stop after this many normalized records. | Filters are applied **before** billing, so you're never charged for jobs you filtered out. ### Output Each dataset item is one normalized job, identical shape across every ATS: ```json { "jobId": "03e2d4e1", "ats": "ashby", "company": "Ramp", "title": "Solutions Consultant", "location": "Remote (US)", "department": "Sales", "employmentType": "FullTime", "remote": true, "postedAt": "2026-07-07T20:47:09.753+00:00", "url": "https://jobs.ashbyhq.com/Ramp/03e2d4e1", "applyUrl": "https://jobs.ashbyhq.com/Ramp/03e2d4e1/application", "source": "Jobs Aggregator" } ```` ### Pricing (Pay-Per-Event) - **`query`** — charged once per run for the poll across your sources. - **`job-record`** — charged per normalized job pushed (after filtering). This is the primary event. - `apify-actor-start` (Apify-managed) — covers baseline compute per run. A daily monitor of a target-account list with a title filter returns just the handful of relevant new roles for pennies. ### Finding company slugs | ATS | Slug is the part of the careers URL | |---|---| | Greenhouse | `job-boards.greenhouse.io/` | | Lever | `jobs.lever.co/` | | Ashby | `jobs.ashbyhq.com/` | | SmartRecruiters | `jobs.smartrecruiters.com/` | | Recruitee | `.recruitee.com` | ### Source & reliability All five sources are public ATS job-board APIs. No API keys, no proxies. Run `npm test` for the offline self-test covering the source parser and every ATS's field mapping. *** *SEO keywords: jobs aggregator, multi ATS scraper, Greenhouse Lever Ashby scraper, job postings API, new jobs feed, hiring signals, recruiting data, job board aggregator, ATS jobs feed* # Actor input Schema ## `sources` (type: `array`): Each entry is ":". Supported ats: greenhouse, lever, ashby, smartrecruiters, recruitee. The company is the slug from that ATS's careers URL. Example: greenhouse:stripe, lever:ro, ashby:Ramp, smartrecruiters:Visa, recruitee:effectory. ## `titleIncludes` (type: `array`): Keep only jobs whose title contains one of these (case-insensitive). Leave empty for all titles. E.g. engineer, product, sales. ## `locationIncludes` (type: `array`): Keep only jobs whose location contains one of these (case-insensitive). Leave empty for all locations. E.g. new york, london, remote. ## `remoteOnly` (type: `boolean`): Keep only jobs flagged remote (or whose location mentions remote). ## `maxItems` (type: `integer`): Stop after this many normalized records have been pushed. Leave blank for no limit. ## `onlyNewSinceLastRun` (type: `boolean`): Recommended for scheduled runs. Uses persisted state to skip postings already returned earlier, so a recurring schedule only charges for genuinely new jobs. ## Actor input object example ```json { "sources": [ "greenhouse:stripe", "lever:ro", "ashby:Ramp" ], "remoteOnly": false, "onlyNewSinceLastRun": true } ``` # 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": [ "greenhouse:stripe", "lever:ro", "ashby:Ramp" ] }; // Run the Actor and wait for it to finish const run = await client.actor("deadwood_data_solutions/jobs-aggregator").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": [ "greenhouse:stripe", "lever:ro", "ashby:Ramp", ] } # Run the Actor and wait for it to finish run = client.actor("deadwood_data_solutions/jobs-aggregator").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": [ "greenhouse:stripe", "lever:ro", "ashby:Ramp" ] }' | apify call deadwood_data_solutions/jobs-aggregator --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=deadwood_data_solutions/jobs-aggregator", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Job Postings Aggregator – Multi-ATS Jobs Feed", "description": "One feed of new job postings across Greenhouse, Lever, Ashby, SmartRecruiters and Recruitee. Filter by title, location or remote; dedup means scheduled runs only return new roles. For recruiters, job boards and hiring-signal feeds.", "version": "1.0", "x-build-id": "9hKRZ4rGj8xFaMnlQ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/deadwood_data_solutions~jobs-aggregator/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-deadwood_data_solutions-jobs-aggregator", "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/deadwood_data_solutions~jobs-aggregator/runs": { "post": { "operationId": "runs-sync-deadwood_data_solutions-jobs-aggregator", "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/deadwood_data_solutions~jobs-aggregator/run-sync": { "post": { "operationId": "run-sync-deadwood_data_solutions-jobs-aggregator", "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": "Sources (ats:company)", "type": "array", "description": "Each entry is \":\". Supported ats: greenhouse, lever, ashby, smartrecruiters, recruitee. The company is the slug from that ATS's careers URL. Example: greenhouse:stripe, lever:ro, ashby:Ramp, smartrecruiters:Visa, recruitee:effectory.", "items": { "type": "string" } }, "titleIncludes": { "title": "Title keywords (any match)", "type": "array", "description": "Keep only jobs whose title contains one of these (case-insensitive). Leave empty for all titles. E.g. engineer, product, sales.", "items": { "type": "string" } }, "locationIncludes": { "title": "Location keywords (any match)", "type": "array", "description": "Keep only jobs whose location contains one of these (case-insensitive). Leave empty for all locations. E.g. new york, london, remote.", "items": { "type": "string" } }, "remoteOnly": { "title": "Remote roles only", "type": "boolean", "description": "Keep only jobs flagged remote (or whose location mentions remote).", "default": false }, "maxItems": { "title": "Maximum records to return", "minimum": 1, "type": "integer", "description": "Stop after this many normalized records have been pushed. Leave blank for no limit." }, "onlyNewSinceLastRun": { "title": "Only return jobs not seen in a previous run", "type": "boolean", "description": "Recommended for scheduled runs. Uses persisted state to skip postings already returned earlier, so a recurring schedule only charges for genuinely new jobs.", "default": true } } }, "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 } } } } } } } } } } ```