# ATS Jobs Scraper — Hiring Signals & Alerts (5 ATS, Auto-Detect) (`nicolas_izquierdo/ats-jobs-scraper`) Actor Track hiring at your target companies. Live jobs from Greenhouse, Lever, Ashby, SmartRecruiters & Recruitee with auto-detection, unified schema, diff mode (only NEW jobs — ideal for scheduled alerts), salary data and per-company hiring signals for B2B sales. No login, no proxies. - **URL**: https://apify.com/nicolas\_izquierdo/ats-jobs-scraper.md - **Developed by:** [Nicolas Izquierdo](https://apify.com/nicolas_izquierdo) (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 from $2.00 / 1,000 results 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 ## ATS Jobs Scraper — Track Hiring at Your Target Companies (5 ATS Platforms) **Give it a list of companies. Get back live job postings, new-role alerts and per-company hiring signals.** Most job-data actors are built for *job search*: you type a query and get matching jobs from everywhere. This Actor is built for the opposite, **company-first** workflow: you already know which companies you care about — target accounts, competitors, portfolio companies, dream employers — and you want to know **what they're hiring for and when that changes**. Public data only: it reads the official public job-board APIs of **Greenhouse, Lever, Ashby, SmartRecruiters and Recruitee** — the endpoints companies publish on purpose. **No login, no cookies, no proxies, no anti-bot games.** That makes it fast, cheap and reliable. | ATS | Typical companies | Board URL formats accepted | |---|---|---| | Greenhouse | US tech, unicorns | `boards.greenhouse.io/X`, `job-boards.greenhouse.io/X` | | Lever | VC-backed startups & scale-ups | `jobs.lever.co/X` | | Ashby | High-growth startups | `jobs.ashbyhq.com/X` | | SmartRecruiters | Enterprise & mid-market | `jobs.smartrecruiters.com/X`, `careers.smartrecruiters.com/X` | | Recruitee | European SMB & scale-ups | `X.recruitee.com` | ### What can it do? - **Auto-detect the ATS** from a company slug, board URL or website domain — one input format for all three platforms - **One normalized schema** across Greenhouse, Lever and Ashby: title, department, team, locations, remote flag, employment type, numeric salary, dates, apply URLs - **Diff mode (`newJobsOnly`)**: run it on a schedule and only get postings that weren't there last time — the foundation for hiring alerts via webhooks, Slack or Make/Zapier - **`isNew` flag** on every job, tracked across runs per company - **Hiring signals per company**: total openings, department breakdown, remote share, newest posting date — companies expanding a department are your best B2B buying signal - **Server-side filters** so you only pay for what you need: keyword, department, location, remote-only, posted-in-last-N-days - **Normalized compensation**: `compensationMin` / `compensationMax` / `compensationCurrency` parsed from disclosed salary data - Export as JSON, CSV or Excel; run via API; schedule with webhooks; MCP-ready for AI agents ### Use cases | Who | What | |---|---| | B2B sales teams | Monitor target accounts: a company hiring 5 SDRs is buying sales tooling *this quarter*. Feed `hiring_signals` into your CRM. | | Recruiters & sourcers | Track competitor hiring, spot which teams are growing, be first on new reqs. | | Job seekers | Watch your 20 dream companies daily with `newJobsOnly` and apply within hours, not weeks. | | VCs & analysts | Hiring velocity per portfolio/sector without waiting for quarterly updates. | | Niche job boards | Curated boards (remote-only, by city, by stack) fed from companies you hand-pick. | ### Input ```json { "companies": [ "https://jobs.lever.co/palantir", "https://jobs.ashbyhq.com/linear", "stripe", "datadog@greenhouse" ], "keywords": ["engineer"], "remoteOnly": false, "newJobsOnly": false, "computeSignals": true } ```` | Parameter | Type | Description | |---|---|---| | `companies` | Array (required) | Board URLs (`boards.greenhouse.io/X`, `job-boards.greenhouse.io/X`, `jobs.lever.co/X`, `jobs.ashbyhq.com/X`), plain slugs (`stripe` — ATS auto-detected), `slug@ats`, or company domains (`linear.app`). | | `keywords` | Array | Only jobs whose title/department matches any keyword (case-insensitive). | | `departments` | Array | Filter by department/team substring. | | `locations` | Array | Filter by location substring (`london`, `remote`, `us`...). | | `remoteOnly` | Boolean | Only remote roles. | | `postedAfterDays` | Integer | Only roles posted in the last N days (where the ATS provides dates). | | `newJobsOnly` | Boolean | **Diff mode.** Only return jobs not seen in previous runs. First run primes the memory. | | `trackNewJobs` | Boolean | Adds `isNew` to every job (default true). | | `includeDescription` | Boolean | Include full plain-text description (bigger items). | | `computeSignals` | Boolean | Push one `hiring_signals` summary item per company (default true). | | `maxJobsPerCompany` | Integer | Safety cap per company (default 2000). | ### Output One item per job: ```json { "type": "job", "source": "ashby", "company": "linear", "title": "Product Engineer", "department": "Engineering", "team": "Product", "location": "North America", "allLocations": ["North America", "Europe"], "isRemote": true, "employmentType": "FullTime", "compensationRaw": "$140K – $180K", "compensationMin": 140000, "compensationMax": 180000, "compensationCurrency": "USD", "publishedAt": "2026-06-25T00:00:00.000Z", "isNew": true, "url": "https://jobs.ashbyhq.com/linear/...", "applyUrl": "https://jobs.ashbyhq.com/linear/.../application", "scrapedAt": "2026-07-07T18:00:00.000Z" } ``` Plus one `hiring_signals` item per company (optional): ```json { "type": "hiring_signals", "company": "linear", "totalOpenings": 42, "remoteOpenings": 30, "remoteShare": 0.71, "topDepartments": [{ "name": "Engineering", "count": 25 }], "topLocations": [{ "name": "North America", "count": 28 }], "newestPostingAt": "2026-07-01T00:00:00.000Z" } ``` ### Quick-start recipes **Daily hiring alerts on your target accounts** — schedule daily, add a webhook/Slack integration: ```json { "companies": ["stripe", "https://jobs.ashbyhq.com/linear", "datadog@greenhouse"], "newJobsOnly": true } ``` **Remote engineering roles at hand-picked companies:** ```json { "companies": ["https://jobs.lever.co/palantir", "linear.app"], "keywords": ["engineer"], "remoteOnly": true } ``` **Sales-intel snapshot (signals only, minimal cost):** ```json { "companies": ["stripe", "linear.app", "palantir@lever"], "keywords": ["sales", "account executive", "sdr"], "computeSignals": true } ``` ### FAQ **Is it legal to scrape these job boards?** This Actor only reads the official public job-board APIs that Greenhouse, Lever and Ashby document and expose specifically so postings can be shared. No authentication is bypassed and no personal data is collected. **How is this different from job-search APIs like the big 75-ATS aggregators?** Those are *query-first* (great for job boards: "find all Software Engineer jobs anywhere"). This Actor is *company-first*: it always reflects the live board of the exact companies you specify — no index lag, no coverage gaps for small companies, and per-company diffing and signals that query-first tools don't give you. **A company isn't found — why?** It may use a different ATS (Workday, Workable, BambooHR...) or a non-obvious slug. Try passing the exact board URL. More ATS platforms are on the roadmap — open an Issue to vote. **How fresh is the data?** It's read live from the company's board at run time — zero indexing delay, no ghost jobs. **How does diff mode behave on the first run?** It returns everything and primes the per-company memory; from the second run on, only new postings. ### Changelog **1.2** - Two new ATS platforms: **SmartRecruiters** (enterprise/mid-market, with pagination) and **Recruitee** (European SMB), both auto-detected - `experienceLevel` field where the ATS provides it **1.1** - Diff mode (`newJobsOnly`) with cross-run memory and `isNew` flag on every job - Normalized compensation fields: `compensationMin` / `compensationMax` / `compensationCurrency` - Hiring-signals items now render cleanly in the table view **1.0** - Initial release: Greenhouse + Lever + Ashby, ATS auto-detection, unified schema, filters, hiring signals # Actor input Schema ## `companies` (type: `array`): List of companies to scrape. Each item can be: a board URL (e.g. `https://boards.greenhouse.io/stripe`, `https://jobs.lever.co/palantir`, `https://jobs.ashbyhq.com/linear`, `https://jobs.smartrecruiters.com/bosch`, `https://acme.recruitee.com`), a plain slug (e.g. `stripe`) — the ATS will be auto-detected across all 5 platforms — or `slug@ats` (e.g. `palantir@lever`) to skip detection. ## `keywords` (type: `array`): Only include jobs whose title or department matches at least one keyword (case-insensitive). Leave empty to include all jobs. ## `departments` (type: `array`): Only include jobs from these departments/teams (case-insensitive substring match). ## `locations` (type: `array`): Only include jobs in these locations (case-insensitive substring match, e.g. `london`, `remote`, `us`). ## `remoteOnly` (type: `boolean`): Only include jobs marked as remote or with 'remote' in their location. ## `postedAfterDays` (type: `integer`): Only include jobs published in the last N days (where the ATS provides a date). Leave empty for all. ## `includeDescription` (type: `boolean`): Include the plain-text job description in each result. Increases item size. ## `newJobsOnly` (type: `boolean`): Only return jobs not seen in previous runs. Perfect for scheduled monitoring: run daily on your target-account list and get alerted (via webhook/integration) only when a company posts new roles. The first run returns everything and primes the memory. ## `trackNewJobs` (type: `boolean`): Adds an `isNew` field to every job (true if not seen in previous runs). Disable to skip cross-run tracking entirely. ## `computeSignals` (type: `boolean`): Push one extra summary item per company with hiring signals: total openings, breakdown by department, remote share, newest posting date and top locations. Great for B2B prospecting and market research. ## `maxJobsPerCompany` (type: `integer`): Safety cap of job items scraped per company. ## Actor input object example ```json { "companies": [ "https://jobs.lever.co/palantir", "https://jobs.ashbyhq.com/linear" ], "remoteOnly": false, "includeDescription": false, "newJobsOnly": false, "trackNewJobs": true, "computeSignals": true, "maxJobsPerCompany": 2000 } ``` # 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": [ "https://jobs.lever.co/palantir", "https://jobs.ashbyhq.com/linear" ] }; // Run the Actor and wait for it to finish const run = await client.actor("nicolas_izquierdo/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 = { "companies": [ "https://jobs.lever.co/palantir", "https://jobs.ashbyhq.com/linear", ] } # Run the Actor and wait for it to finish run = client.actor("nicolas_izquierdo/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 '{ "companies": [ "https://jobs.lever.co/palantir", "https://jobs.ashbyhq.com/linear" ] }' | apify call nicolas_izquierdo/ats-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nicolas_izquierdo/ats-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ATS Jobs Scraper — Hiring Signals & Alerts (5 ATS, Auto-Detect)", "description": "Track hiring at your target companies. Live jobs from Greenhouse, Lever, Ashby, SmartRecruiters & Recruitee with auto-detection, unified schema, diff mode (only NEW jobs — ideal for scheduled alerts), salary data and per-company hiring signals for B2B sales. No login, no proxies.", "version": "1.2", "x-build-id": "u0N1W7KkU3DHrY8UW" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nicolas_izquierdo~ats-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nicolas_izquierdo-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nicolas_izquierdo~ats-jobs-scraper/runs": { "post": { "operationId": "runs-sync-nicolas_izquierdo-ats-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nicolas_izquierdo~ats-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-nicolas_izquierdo-ats-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "companies" ], "properties": { "companies": { "title": "Companies", "type": "array", "description": "List of companies to scrape. Each item can be: a board URL (e.g. `https://boards.greenhouse.io/stripe`, `https://jobs.lever.co/palantir`, `https://jobs.ashbyhq.com/linear`, `https://jobs.smartrecruiters.com/bosch`, `https://acme.recruitee.com`), a plain slug (e.g. `stripe`) — the ATS will be auto-detected across all 5 platforms — or `slug@ats` (e.g. `palantir@lever`) to skip detection.", "items": { "type": "string" } }, "keywords": { "title": "Keyword filter", "type": "array", "description": "Only include jobs whose title or department matches at least one keyword (case-insensitive). Leave empty to include all jobs.", "items": { "type": "string" } }, "departments": { "title": "Department filter", "type": "array", "description": "Only include jobs from these departments/teams (case-insensitive substring match).", "items": { "type": "string" } }, "locations": { "title": "Location filter", "type": "array", "description": "Only include jobs in these locations (case-insensitive substring match, e.g. `london`, `remote`, `us`).", "items": { "type": "string" } }, "remoteOnly": { "title": "Remote jobs only", "type": "boolean", "description": "Only include jobs marked as remote or with 'remote' in their location.", "default": false }, "postedAfterDays": { "title": "Posted in the last N days", "minimum": 1, "maximum": 365, "type": "integer", "description": "Only include jobs published in the last N days (where the ATS provides a date). Leave empty for all." }, "includeDescription": { "title": "Include full job description", "type": "boolean", "description": "Include the plain-text job description in each result. Increases item size.", "default": false }, "newJobsOnly": { "title": "New jobs only (diff mode)", "type": "boolean", "description": "Only return jobs not seen in previous runs. Perfect for scheduled monitoring: run daily on your target-account list and get alerted (via webhook/integration) only when a company posts new roles. The first run returns everything and primes the memory.", "default": false }, "trackNewJobs": { "title": "Track new jobs across runs", "type": "boolean", "description": "Adds an `isNew` field to every job (true if not seen in previous runs). Disable to skip cross-run tracking entirely.", "default": true }, "computeSignals": { "title": "Compute hiring signals", "type": "boolean", "description": "Push one extra summary item per company with hiring signals: total openings, breakdown by department, remote share, newest posting date and top locations. Great for B2B prospecting and market research.", "default": true }, "maxJobsPerCompany": { "title": "Max jobs per company", "minimum": 1, "maximum": 20000, "type": "integer", "description": "Safety cap of job items scraped per company.", "default": 2000 } } }, "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 } } } } } } } } } } ```