Greenhouse Lever Ashby Jobs API

Turn company names into a clean feed of current job openings. This Apify Actor reads public, official Greenhouse, Lever, Ashby, Workable, and SmartRecruiters job-board APIs, detects the ATS used by each company, and saves every opening in one normalized format.

No API key, paid proxy, or paid data source is required. A missing board or failed company is logged and skipped without stopping the rest of the run.

Use cases

• Track hiring signals across target accounts.
• Build recruiting, sourcing, and job-alert workflows.
• Create lead lists from companies actively hiring specific teams.
• Replace five ATS integrations with one stable output schema.

Input

Field	Type	Default	Description
companies	string array	sample list	Required company slugs or board tokens.
ats	string	"auto"	auto, greenhouse, lever, ashby, workable, or smartrecruiters. Auto tries each source until one returns jobs.
maxJobsPerCompany	integer	100	Maximum jobs saved per company, from 1 to 500.

Example:

{
  "companies": ["stripe", "figma", "notion", "clear-labs", "visa"],
  "ats": "auto",
  "maxJobsPerCompany": 100
}

Use the ATS board token, which can differ from the company's normal website slug. Examples that currently resolve: stripe (Greenhouse), notion (Ashby), palantir (Lever), clear-labs (Workable), visa (SmartRecruiters).

Output

Each dataset item contains:

• company — input company slug or board token
• ats — detected provider: greenhouse, lever, ashby, workable, or smartrecruiters
• jobId — provider job identifier
• title — job title
• location — source-provided location
• department — department when available
• team — team when available
• employmentType — employment type or commitment when available
• url — public job URL
• postedAt — ISO 8601 source timestamp, or null
• salary — source-provided compensation summary, or null
• descriptionText — plain-text description truncated to 800 characters

Example output:

{
  "company": "stripe",
  "ats": "greenhouse",
  "jobId": "8023928",
  "title": "Account Executive, Bridge",
  "location": "London",
  "department": "Revenue",
  "team": "",
  "employmentType": "",
  "url": "https://stripe.com/jobs/listing/account-executive-bridge/8023928",
  "postedAt": "2026-07-17T08:30:00.000Z",
  "salary": null,
  "descriptionText": "Partner with customers to grow their business on Stripe..."
}

The run log ends with a SUMMARY showing the detected ATS and saved job count for every requested company.

Run locally

Use Node.js 20 or newer. Save input to storage/key_value_stores/default/INPUT.json, then run:

npm install
node src/main.js

Results are written to storage/datasets/default/.

Free public sources

• Greenhouse Job Board API: https://boards-api.greenhouse.io/v1/boards/<slug>/jobs?content=true
• Lever Postings API: https://api.lever.co/v0/postings/<slug>?mode=json
• Ashby Job Board API: https://api.ashbyhq.com/posting-api/job-board/<slug>?includeCompensation=true
• Workable Widget API: https://apply.workable.com/api/v1/widget/accounts/<slug>?details=true
• SmartRecruiters Postings API: https://api.smartrecruiters.com/v1/companies/<slug>/postings

The Actor uses request timeouts, two retries with backoff, and a five-company concurrency cap. Review each provider's and company's current terms before redistributing data.

How to use Greenhouse Lever Ashby Jobs API

1. Open Greenhouse Lever Ashby Jobs API on Apify Store and click Try for free.
2. Fill in the input (the form is prefilled with a working example) and click Start.
3. Watch results appear in the Output tab, then download them as JSON, CSV, Excel or HTML, or read them through the API.
4. Optional: save the input as a task and add a schedule to run it automatically, or connect it to your tools with integrations and webhooks.

How much does Greenhouse Lever Ashby Jobs API cost?

This Actor uses pay-per-event pricing: you pay only for what it delivers, and platform usage is included.

Event	Price
Result (one dataset item)	$0.002 each ($2.00 per 1,000)
Actor start	$5e-05 per run

Set Maximum cost per run in the run options to cap your spend; the Actor stops when the limit is reached. Check the Pricing tab for current prices and plan discounts.

Use Greenhouse Lever Ashby Jobs API with AI agents (MCP)

Give Claude, ChatGPT, Cursor, VS Code or any MCP client this Actor as a tool through the hosted Apify MCP server. The agent sees the input fields with descriptions and example values, runs the Actor, and reads the results.

MCP server URL (this Actor only):

https://mcp.apify.com/?tools=technicaldost/ats-jobs-scraper

Claude Code:

$claude mcp add --transport http apify "https://mcp.apify.com/?tools=technicaldost/ats-jobs-scraper" --header "Authorization: Bearer YOUR_APIFY_TOKEN"

Cursor, VS Code, Claude Desktop and other clients (mcp.json or the client's MCP settings):

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com/?tools=technicaldost/ats-jobs-scraper",
      "headers": { "Authorization": "Bearer YOUR_APIFY_TOKEN" }
    }
  }
}

Clients that support sign-in (such as Claude.ai connectors) can use the URL without a token and log in to Apify instead. Get your token in Apify Console → Settings → API & Integrations, or generate a ready config for your client at mcp.apify.com. In the agent the tool is named technicaldost--ats-jobs-scraper; ask it, for example, to "run Greenhouse Lever Ashby Jobs API with {"companies": ["stripe", "figma", "notion", "clear-labs", "visa"]}".

AI agents without an Apify account can also run and pay for this Actor per request with x402 agentic payments.

Run Greenhouse Lever Ashby Jobs API via API

Run the Actor and get its results in one call (replace YOUR_APIFY_TOKEN):

curl -X POST "https://api.apify.com/v2/acts/technicaldost~ats-jobs-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"companies": ["stripe", "figma", "notion", "clear-labs", "visa"]}'

Python (pip install apify-client):

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("technicaldost/ats-jobs-scraper").call(run_input={"companies": ["stripe", "figma", "notion", "clear-labs", "visa"]})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

JavaScript / TypeScript (npm install apify-client):

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('technicaldost/ats-jobs-scraper').call({"companies": ["stripe", "figma", "notion", "clear-labs", "visa"]});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Long runs: start them with POST /v2/acts/technicaldost~ats-jobs-scraper/runs and fetch the dataset when the run finishes, or receive a webhook.

Related Actors

• Google Jobs Scraper & Fresh Lead Monitor — Scrape public Google Jobs results by query and location into structured job leads with employer, source, posti
• Greenhouse & Lever Jobs Scraper & Monitor — Scrape public Greenhouse and Lever job boards into one normalized dataset. Filter by title or location and emi
• Cutshort Jobs Scraper - Tech Jobs India — Scrape Cutshort tech job listings by skill and city: company profile, salary range, experience range, skills
• iimjobs Jobs Scraper - Management & MBA Jobs India — Scrape iimjobs management and MBA job listings by keyword and city: company, experience range, salary in lakhs

FAQ

Can I use Greenhouse Lever Ashby Jobs API with AI agents like Claude or ChatGPT?

Yes. Connect the Apify MCP server with ?tools=technicaldost/ats-jobs-scraper (see above) and the agent can run the Actor and read its results on its own.

Can I call Greenhouse Lever Ashby Jobs API from my own code?

Yes. Use the REST API, or the official Python and JavaScript clients shown above. Results are available as JSON, CSV, Excel, XML or HTML.

How do I run it on a schedule?

Save your input as a task in Apify Console and add a schedule (for example, daily). Use webhooks or integrations to send each run's results onward.

Is it legal to use this Actor?

It works with publicly available data. Make sure your use complies with the source website's terms and with data protection laws such as GDPR, especially for personal data.

Something doesn't work or I need a feature. What should I do?

Open an issue in the Issues tab on this Actor's page with an example input, and we'll look into it.