# JobStream — Greenhouse / Lever / Ashby Jobs Feed (`brebiv/jobstream`) Actor Fresh, normalized, deduplicated job postings from Greenhouse, Lever, and Ashby public job boards. Tracks new / modified / expired across runs. Never bills you for zero results. - **URL**: https://apify.com/brebiv/jobstream.md - **Developed by:** [Leonid](https://apify.com/brebiv) (community) - **Categories:** Jobs, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $2.50 / 1,000 job postings 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 ## JobStream — Greenhouse / Lever / Ashby Jobs Feed Fresh, **normalized, deduplicated, change-tracked job postings** pulled straight from the **public Greenhouse, Lever, and Ashby APIs** — no logins, no HTML scraping, no anti-bot. One clean schema across all three ATSs, with new / modified / expired tracking across runs. > **Never bills you for zero results.** If a board fails to fetch, JobStream skips it — it > cannot report an empty run or charge you for jobs it couldn't load. You pay only for jobs > actually delivered. ### Features - **One unified schema** across all three sources — title, company, parsed location, remote / hybrid, department, employment type, structured compensation, posted & updated timestamps, and a canonical apply URL. - **Deduplicated & change-tracked** — every job carries `is_new`, `is_modified`, and `status` (active / expired). Flip on **Only changes** to pull just the deltas — perfect for daily syncs and "new jobs today" alerts. - **Reliable by design** — public JSON endpoints (no anti-bot to break), plus a safeguard that refuses to wipe a board on a truncated/partial response. A failed fetch never expires your data and never produces a billable empty run. - **Bring your own boards, or use the bundled registry** of 900+ validated companies (Stripe, Anthropic, Databricks, OpenAI, Spotify, and many more). - **Structured compensation** wherever the ATS publishes it. ### Input ```json { "sources": [ { "ats": "greenhouse", "token": "stripe", "company": "Stripe" }, { "ats": "lever", "token": "spotify", "company": "Spotify" }, { "ats": "ashby", "token": "openai", "company": "OpenAI" } ], "fetchCompensation": true, "onlyChanges": false } ```` - **`sources`** — the boards to pull. Each item is `{ ats, token, company? }`, where `ats` is `greenhouse` | `lever` | `ashby` and `token` is the board slug (the `X` in `boards.greenhouse.io/X`, `jobs.lever.co/X`, or `jobs.ashbyhq.com/X`). - **`useBundledRegistry`** — set `true` to skip `sources` and poll the built-in list of 900+ companies. Narrow it with `registryAts` (one ATS) and `registryLimit` (cap). - **`fetchCompensation`**, **`includeDescription`**, **`onlyChanges`**, **`maxWorkers`** — see the input editor for the full set of options. ### Output Each dataset item is one normalized job posting: ```json { "company": "Ramp", "title": "Senior Software Engineer", "location_raw": "New York", "city": "New York", "region": "NY", "country": "US", "remote": false, "workplace_type": "hybrid", "department": "Engineering", "employment_type": "full_time", "comp_min": 211400, "comp_max": 290600, "comp_currency": "USD", "comp_interval": "year", "posted_at": "2026-05-11T20:00:11Z", "updated_at": "2026-05-11T20:00:11Z", "apply_url": "https://jobs.ashbyhq.com/ramp/...", "source_ats": "ashby", "is_new": true, "is_modified": false, "status": "active" } ``` Items also include `source_token`, `source_id`, `team`, a stable `dedup_key`, and `first_seen` / `last_seen` for change tracking. ### Who it's for Niche job boards that need fresh inventory, recruiters and HR-tech tools, labor-market analysts, and AI / RAG pipelines that need clean, current, structured job data. ### Pricing **Pay per result** — charged per job returned, and **never for a run that returns nothing.** Use **Only changes** to pull just new and modified jobs and keep recurring runs lean. # Actor input Schema ## `sources` (type: `array`): Explicit boards to poll. Each item: {"ats": "greenhouse|lever|ashby", "token": "", "company": ""}. ## `useBundledRegistry` (type: `boolean`): Ignore 'Boards' and poll the bundled, validated company registry (900+ companies) instead. ## `registryAts` (type: `string`): Only poll boards on this ATS from the bundled registry. Empty = all three. ## `registryLimit` (type: `integer`): Cap the number of bundled-registry boards (largest first). 0 = no cap. ## `includeRetail` (type: `boolean`): Include high-volume retail/store-spam boards flagged 'retail\_lowvalue'. ## `fetchCompensation` (type: `boolean`): Ashby: adds includeCompensation=true. Lever: salaryRange when present. (Greenhouse structured comp is not fetched — it requires per-job calls.) ## `includeDescription` (type: `boolean`): Include the job description text in output (larger items). Greenhouse: enables content=true. ## `onlyChanges` (type: `boolean`): Push only jobs that are new or changed since the previous run. ## `maxWorkers` (type: `integer`): Number of boards fetched in parallel. ## `maxExpiryPct` (type: `integer`): Skip mass-expiry if a board (with >=10 active jobs) would expire more than this percent in one run — protects against truncated/partial responses wiping a live board. 0 = disable guard. ## Actor input object example ```json { "sources": [ { "ats": "greenhouse", "token": "stripe", "company": "Stripe" }, { "ats": "lever", "token": "spotify", "company": "Spotify" }, { "ats": "ashby", "token": "openai", "company": "OpenAI" } ], "useBundledRegistry": false, "registryAts": "", "registryLimit": 0, "includeRetail": false, "fetchCompensation": true, "includeDescription": false, "onlyChanges": false, "maxWorkers": 12, "maxExpiryPct": 50 } ``` # 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", "token": "stripe", "company": "Stripe" }, { "ats": "lever", "token": "spotify", "company": "Spotify" }, { "ats": "ashby", "token": "openai", "company": "OpenAI" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("brebiv/jobstream").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", "token": "stripe", "company": "Stripe", }, { "ats": "lever", "token": "spotify", "company": "Spotify", }, { "ats": "ashby", "token": "openai", "company": "OpenAI", }, ] } # Run the Actor and wait for it to finish run = client.actor("brebiv/jobstream").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", "token": "stripe", "company": "Stripe" }, { "ats": "lever", "token": "spotify", "company": "Spotify" }, { "ats": "ashby", "token": "openai", "company": "OpenAI" } ] }' | apify call brebiv/jobstream --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=brebiv/jobstream", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "JobStream — Greenhouse / Lever / Ashby Jobs Feed", "description": "Fresh, normalized, deduplicated job postings from Greenhouse, Lever, and Ashby public job boards. Tracks new / modified / expired across runs. Never bills you for zero results.", "version": "0.1", "x-build-id": "olyIybJlj9JSZwN7u" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/brebiv~jobstream/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-brebiv-jobstream", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/brebiv~jobstream/runs": { "post": { "operationId": "runs-sync-brebiv-jobstream", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/brebiv~jobstream/run-sync": { "post": { "operationId": "run-sync-brebiv-jobstream", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "sources": { "title": "Boards", "type": "array", "description": "Explicit boards to poll. Each item: {\"ats\": \"greenhouse|lever|ashby\", \"token\": \"\", \"company\": \"\"}." }, "useBundledRegistry": { "title": "Use bundled registry", "type": "boolean", "description": "Ignore 'Boards' and poll the bundled, validated company registry (900+ companies) instead.", "default": false }, "registryAts": { "title": "Registry: limit to one ATS", "enum": [ "", "greenhouse", "lever", "ashby" ], "type": "string", "description": "Only poll boards on this ATS from the bundled registry. Empty = all three.", "default": "" }, "registryLimit": { "title": "Registry: max boards", "minimum": 0, "type": "integer", "description": "Cap the number of bundled-registry boards (largest first). 0 = no cap.", "default": 0 }, "includeRetail": { "title": "Registry: include retail/low-value boards", "type": "boolean", "description": "Include high-volume retail/store-spam boards flagged 'retail_lowvalue'.", "default": false }, "fetchCompensation": { "title": "Fetch compensation", "type": "boolean", "description": "Ashby: adds includeCompensation=true. Lever: salaryRange when present. (Greenhouse structured comp is not fetched — it requires per-job calls.)", "default": true }, "includeDescription": { "title": "Include job description", "type": "boolean", "description": "Include the job description text in output (larger items). Greenhouse: enables content=true.", "default": false }, "onlyChanges": { "title": "Only output new / modified jobs", "type": "boolean", "description": "Push only jobs that are new or changed since the previous run.", "default": false }, "maxWorkers": { "title": "Concurrency", "minimum": 1, "maximum": 32, "type": "integer", "description": "Number of boards fetched in parallel.", "default": 12 }, "maxExpiryPct": { "title": "Max expiry % guard", "minimum": 0, "maximum": 100, "type": "integer", "description": "Skip mass-expiry if a board (with >=10 active jobs) would expire more than this percent in one run — protects against truncated/partial responses wiping a live board. 0 = disable guard.", "default": 50 } } }, "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 } } } } } } } } } } ```