# ATS Job Scraper — Greenhouse, Lever & Ashby Careers (`chilly_damask/company-careers-job-scraper`) Actor Scrape live job postings straight from Greenhouse, Lever, and Ashby public careers APIs, normalized into one schema. No login, no API keys, no browser. Pay per job. - **URL**: https://apify.com/chilly\_damask/company-careers-job-scraper.md - **Developed by:** [Jaxx](https://apify.com/chilly_damask) (community) - **Categories:** Jobs, Lead generation, Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 job scrapeds 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 Job Scraper — Greenhouse, Lever & Ashby Careers, One Schema **Pull live job postings straight from companies' own careers pages — Greenhouse, Lever, and Ashby — normalized into one clean, deduplicated table. No login, no API keys, no browser. You pay per job.** Most job scrapers point at Indeed or LinkedIn and fight anti-bot walls all day. This one goes to the **source**: the official, public job-board APIs that Greenhouse, Lever, and Ashby publish so companies can embed their own careers page. That means clean structured data, no CAPTCHAs, no breakage — and the **same schema whether a job came from Greenhouse, Lever, or Ashby**, so you never reconcile three different scrapers again. - 🏢 **Straight from the company** — the ATS the employer actually uses, not a noisy aggregator - 🔀 **Three ATSs, one schema** — Greenhouse + Lever + Ashby normalized together, deduplicated by source + job ID across the whole run - 💰 **Salary where it's public** — Ashby (and some Lever) postings include compensation - 🌍 **Remote flag, department, team, location, apply URL, posted date, full description** - 💵 **Pay per job** — a board that returns nothing costs you nothing --- ### 🎯 Best for - **Recruiters & sourcers** — track exactly what target companies are hiring for, in real time. - **Sales & GTM teams** — hiring signals are buying signals; find companies staffing up a function you sell to. - **Job boards & aggregators** — ingest clean, structured postings direct from the source ATS. - **Labor-market & comp analytics** — postings + salary data across hundreds of companies, one schema. - **Candidates & career tools** — monitor a set of dream companies and get new roles the day they post. --- ### ⚙️ How it works Plain HTTP against each ATS's **official public job-board endpoint** — no login, no key, no browser: - **Greenhouse** — `boards-api.greenhouse.io/v1/boards//jobs` (with full descriptions). - **Lever** — `api.lever.co/v0/postings/?mode=json`. - **Ashby** — `api.ashbyhq.com/posting-api/job-board/` (with compensation where published). Every posting is normalized into one schema and deduplicated by source + job ID. --- ### ▶️ How to use (no code) 1. Find each company's ATS slug from its careers-page URL: - Greenhouse → the token in `boards.greenhouse.io/`**`stripe`** (or a `greenhouse.io` embed). - Lever → the name in `jobs.lever.co/`**`gopuff`**. - Ashby → the name in `jobs.ashbyhq.com/`**`ramp`**. 2. Put those slugs into **Greenhouse board tokens**, **Lever company slugs**, and/or **Ashby org slugs**. 3. (Optional) filter by title keywords, location, department, remote-only, or posted-since date. 4. Click **Start**, then export as JSON, CSV, Excel, XML, or HTML — or pull it via the API. --- ### 📥 Input | Field | Type | Notes | |---|---|---| | `greenhouseTokens` | array | Greenhouse board tokens, e.g. `["stripe","gitlab"]`. | | `leverCompanies` | array | Lever company slugs, e.g. `["gopuff"]`. | | `ashbyOrgs` | array | Ashby org slugs, e.g. `["ramp"]`. | | `titleIncludes` | array | Keep only titles containing any of these (case-insensitive). | | `locationIncludes` | array | Keep only locations containing any of these. | | `departmentIncludes` | array | Keep only jobs whose department/team match. | | `remoteOnly` | boolean | Only postings flagged remote. Default `false`. | | `postedSince` | ISO date | Only jobs posted on/after this date — cheap incremental re-runs. | | `maxJobsPerCompany` | integer | Cap per company after filters. `0` = no cap. | | `includeDescription` | boolean | Include full description (text + HTML). Default `true`. | #### Example input ```json { "greenhouseTokens": ["stripe", "gitlab"], "leverCompanies": ["gopuff"], "ashbyOrgs": ["ramp"], "titleIncludes": ["engineer", "designer"], "remoteOnly": true } ```` *** ### 📤 Output — one record per job ```json { "source": "ashby", "company": "ramp", "jobId": "03e2d4e1-73ad-4f09-a058-2eb9ce...", "title": "Technical Consultant, Mid-Market", "department": "Sales", "team": "Mid-Market", "location": "Remote (US); San Francisco, CA; New York, NY", "isRemote": true, "employmentType": "FullTime", "compensation": "$151K – $231K • Offers Equity", "postedAt": "2026-07-07T20:47:09.753+00:00", "updatedAt": null, "applyUrl": "https://jobs.ashbyhq.com/ramp/03e2d4e1-...", "jobUrl": "https://jobs.ashbyhq.com/ramp/03e2d4e1-...", "descriptionText": "ABOUT RAMP Ramp is building the smart infrastructure...", "descriptionHtml": "

ABOUT RAMP...

", "scrapedAt": "2026-07-10T18:00:00.000Z" } ``` `source` is `greenhouse`, `lever`, or `ashby`. Fields a given ATS doesn't expose come back `null` — the schema stays identical across all three. *** ### 💰 Pricing (pay-per-event) You are charged a **fixed price per result**, not for compute. | Event | Price | When you're charged | |---|---|---| | `job-scraped` | **$0.001** | Once per unique job posting returned. | | `company-resolved` | **$0.005** | Once per company board that returns at least one job. A board that yields nothing is free. | **Worked example:** 5 companies returning 800 jobs total = 800 × $0.001 = **$0.80**, plus 5 × $0.005 = **$0.025**. Total ≈ **$0.83**. *** ### ❓ FAQ **Which companies can I scrape?** Any company whose careers page runs on **Greenhouse, Lever, or Ashby** — that's a large share of tech and startup hiring. You supply the ATS slug; the actor does the rest. **Is this legal / is it personal data?** It reads only **public job postings** an employer chose to publish, from the ATS's own public API. The **structured fields it extracts are company and role information only** — never applicant or candidate data. Note that the free-text **job description** (returned when `includeDescription` is on) is the employer's own text and can occasionally include an incidental recruiter name or contact email; if you need a strictly PII-free dataset, set **`includeDescription: false`** and descriptions are omitted. Use the data lawfully (GDPR/CCPA, each ATS's terms). **Why not Indeed / LinkedIn?** Those are anti-bot aggregators of second-hand data. Going to the source ATS is cleaner, more reliable, and more complete for the companies you care about. **Can I run it on a schedule?** Yes — schedule it in the Console, call it via API, or wire the output into Make, Zapier, Slack, Google Sheets, or a webhook for real-time hiring alerts. **Workday / other ATSs?** Greenhouse, Lever, and Ashby ship first. Workday and others are on the roadmap. *** ### 🔌 API-ready Apify auto-generates integration snippets — JavaScript, Python, CLI, REST, OpenAPI, and an MCP server — so you can drop this into your stack or an agent workflow. See the **API** tab. *** ### Maintainer Published by **Jaxx**. Want another ATS supported (Workday, SmartRecruiters, Workable) or a field added? Open an issue on the **Issues** tab — requests and edge cases are actively reviewed. # Actor input Schema ## `greenhouseTokens` (type: `array`): Greenhouse job-board tokens — the company slug in boards.greenhouse.io/ or in a careers page's Greenhouse embed (e.g. "stripe", "gitlab"). Leave empty to skip Greenhouse. ## `leverCompanies` (type: `array`): Lever company slugs — the name in jobs.lever.co/ (e.g. "gopuff"). Leave empty to skip Lever. ## `ashbyOrgs` (type: `array`): Ashby organization slugs — the name in jobs.ashbyhq.com/ (e.g. "ramp"). Leave empty to skip Ashby. ## `titleIncludes` (type: `array`): Only keep jobs whose title contains at least one of these (case-insensitive), e.g. \["engineer","designer"]. Empty = all titles. ## `locationIncludes` (type: `array`): Only keep jobs whose location contains at least one of these (case-insensitive), e.g. \["New York","London","remote"]. Empty = all locations. ## `departmentIncludes` (type: `array`): Only keep jobs whose department or team contains at least one of these (case-insensitive), e.g. \["sales","marketing"]. Empty = all. ## `remoteOnly` (type: `boolean`): If on, return only postings flagged remote (Lever workplaceType / Ashby isRemote / "remote" in the location). ## `postedSince` (type: `string`): Only return jobs posted on or after this date, e.g. 2026-01-01. Enables cheap incremental re-runs. Leave empty for all. ## `maxJobsPerCompany` (type: `integer`): Cap jobs returned per company board (after filters). 0 = no cap (all matching jobs). ## `includeDescription` (type: `boolean`): Also return each job's full description (plain text + HTML). Turn off for a lighter, cheaper dataset of just titles, locations, and links. ## Actor input object example ```json { "greenhouseTokens": [ "stripe", "gitlab" ], "leverCompanies": [ "gopuff" ], "ashbyOrgs": [ "ramp" ], "remoteOnly": false, "maxJobsPerCompany": 0, "includeDescription": 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 = { "greenhouseTokens": [ "stripe" ], "leverCompanies": [ "gopuff" ], "ashbyOrgs": [ "ramp" ] }; // Run the Actor and wait for it to finish const run = await client.actor("chilly_damask/company-careers-job-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 = { "greenhouseTokens": ["stripe"], "leverCompanies": ["gopuff"], "ashbyOrgs": ["ramp"], } # Run the Actor and wait for it to finish run = client.actor("chilly_damask/company-careers-job-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 '{ "greenhouseTokens": [ "stripe" ], "leverCompanies": [ "gopuff" ], "ashbyOrgs": [ "ramp" ] }' | apify call chilly_damask/company-careers-job-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=chilly_damask/company-careers-job-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ATS Job Scraper — Greenhouse, Lever & Ashby Careers", "description": "Scrape live job postings straight from Greenhouse, Lever, and Ashby public careers APIs, normalized into one schema. No login, no API keys, no browser. Pay per job.", "version": "1.0", "x-build-id": "WOOSDvLUNeq4kjVjT" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/chilly_damask~company-careers-job-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-chilly_damask-company-careers-job-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/chilly_damask~company-careers-job-scraper/runs": { "post": { "operationId": "runs-sync-chilly_damask-company-careers-job-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/chilly_damask~company-careers-job-scraper/run-sync": { "post": { "operationId": "run-sync-chilly_damask-company-careers-job-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", "properties": { "greenhouseTokens": { "title": "Greenhouse board tokens", "type": "array", "description": "Greenhouse job-board tokens — the company slug in boards.greenhouse.io/ or in a careers page's Greenhouse embed (e.g. \"stripe\", \"gitlab\"). Leave empty to skip Greenhouse.", "items": { "type": "string" } }, "leverCompanies": { "title": "Lever company slugs", "type": "array", "description": "Lever company slugs — the name in jobs.lever.co/ (e.g. \"gopuff\"). Leave empty to skip Lever.", "items": { "type": "string" } }, "ashbyOrgs": { "title": "Ashby org slugs", "type": "array", "description": "Ashby organization slugs — the name in jobs.ashbyhq.com/ (e.g. \"ramp\"). Leave empty to skip Ashby.", "items": { "type": "string" } }, "titleIncludes": { "title": "Title keywords", "type": "array", "description": "Only keep jobs whose title contains at least one of these (case-insensitive), e.g. [\"engineer\",\"designer\"]. Empty = all titles.", "items": { "type": "string" } }, "locationIncludes": { "title": "Location keywords", "type": "array", "description": "Only keep jobs whose location contains at least one of these (case-insensitive), e.g. [\"New York\",\"London\",\"remote\"]. Empty = all locations.", "items": { "type": "string" } }, "departmentIncludes": { "title": "Department / team keywords", "type": "array", "description": "Only keep jobs whose department or team contains at least one of these (case-insensitive), e.g. [\"sales\",\"marketing\"]. Empty = all.", "items": { "type": "string" } }, "remoteOnly": { "title": "Remote jobs only", "type": "boolean", "description": "If on, return only postings flagged remote (Lever workplaceType / Ashby isRemote / \"remote\" in the location).", "default": false }, "postedSince": { "title": "Only jobs posted since (ISO date)", "type": "string", "description": "Only return jobs posted on or after this date, e.g. 2026-01-01. Enables cheap incremental re-runs. Leave empty for all." }, "maxJobsPerCompany": { "title": "Max jobs per company", "minimum": 0, "type": "integer", "description": "Cap jobs returned per company board (after filters). 0 = no cap (all matching jobs).", "default": 0 }, "includeDescription": { "title": "Include full job description", "type": "boolean", "description": "Also return each job's full description (plain text + HTML). Turn off for a lighter, cheaper dataset of just titles, locations, and links.", "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 } } } } } } } } } } ```