Job Scraper for Greenhouse, Lever, Ashby & Workable | JobsRadar

What is JobsRadar, the job board scraper?

JobsRadar is a job scraper for company career pages. Every company runs its own job board on an applicant tracking system (ATS). JobsRadar searches Greenhouse, Lever, Ashby, SmartRecruiters, Workable, Personio and Pinpoint at once and gives you back one deduplicated, normalized list of open roles, with the full job description and the salary wherever the employer publishes one, and filters on title, location, remote and posting date.

In short

• What you get: every open role on seven applicant tracking systems in one run, one row per role in the same format: title, company, location, posting date, the employer's own apply link, the full description (text and HTML), the salary as published and parsed into min, max, currency and period, and seniority, employment type and workplace type wherever the board publishes them.
• What it costs: $0.90 per 1,000 roles ($0.72 on Apify Business plans), description and salary included, charged per role delivered.
• Why this one (prices read from the Apify Store API on 2026-10-13): $0.90 per 1,000 where bovi/greenhouse-lever-ashby-job-scraper charges $1.50 ($1.455 on Business plans) and fantastic-jobs/greenhouse-jobs-api $2.00 ($1.20 from Apify's Silver tier up); seven systems in one run, where bovi's reads six (Recruitee, which JobsRadar does not read, but not Workable or Pinpoint) and fantastic-jobs' reads Greenhouse only; the salary as numbers from each board's own pay fields, where bovi documents one salary text field and fantastic-jobs fills its numeric salary fields with an LLM reading the description (its README says those fields "might contain mistakes"), next to a raw salary object it calls "often partial"; and every board read live when you run it, where fantastic-jobs serves its own database (new jobs added twice an hour, expired ones removed daily, per its README).

It reads the official public job board APIs and feeds these platforms publish so employers can distribute their openings: no login, no cookies, and apply links that point at the employer's own page.

What data can you extract from company job boards?

One row per open role, with the same fields whichever board it came from:

Field	Example	Notes
id	greenhouse:stripe:8224915	Stable across runs: provider, board and the board's own job id
title	Machine Learning Engineer, Growth Platform
company	Stripe
location	San Francisco	As the employer published it
remote	false	Only true when the board itself marks the role remote
department	Engineering	When the board publishes one
postedAt	2026-09-28T15:58:13.000Z	ISO 8601 in UTC for every board (a bare date when the board publishes only a day). Empty for Pinpoint, which publishes none
applyUrl	https://stripe.com/jobs/search?gh_jid=8224915	The employer's own application page
provider	greenhouse	Which ATS the role came from
workplaceType	remote	remote, hybrid or onsite, only from a field the board fills for it, never from the location text
employmentType	Full-time	As the board words it (Permanent, Full-time on Personio, which publishes both)
seniority	Mid-Senior Level	As the board words it, where it publishes one
salaryText	$140.8K - $231K	The board's own wording, or its pay range written out (120,000 - 220,000 USD per year)
salaryMin, salaryMax	140800, 231000	Numbers from the board's own pay fields. A one-sided range leaves the other side empty
salaryCurrency	USD	ISO 4217 code
salaryPeriod	year	year, month, week, day or hour. Empty when the board names no period (many Greenhouse ranges are titled "Base Salary Range")
description	Summary\n\nThe Cloud Capacity team...	The full description as plain text
descriptionHtml	<h1><strong>Summary</strong></h1>...	The same, as HTML, with each section under its own heading

Where a board publishes nothing for a field, it is null, never guessed. What each board actually filled, in a run over the whole directory (2026-10-13, 4,924 roles whose title contains "engineer"):

Board	Roles	Description	Salary (numbers)	Seniority	Employment type	Workplace type
Greenhouse	2,584	100%	48.8%	10.3%	9.2%	7.2%
SmartRecruiters	1,624	100%	4.5%	84.7%	100%	28.6%
Ashby	368	100%	48.9%	not published	100%	81.5%
Pinpoint	181	100%	83.4%	not published	100%	100%
Lever	70	100%	1.4%	not published	94.3%	100%
Workable	58	100%	no salary field	86.2%	96.6%	19.0%
Personio	39	100%	5.1%	100%	100%	not published

A salary appears only where the employer chose to publish one in the board's pay fields: 34% of these roles. Employers who write pay into the description text instead (Workable has no pay field at all) have it in description, as written, not parsed.

What can you use job posting data for?

• Recruiting and talent mapping: watch hiring at a list of competitors and see which teams are growing.
• Salary research: published pay ranges as numbers, per company, role, location and period.
• Sales prospecting: companies hiring for a role are often buying the tools that role uses.
• Job search apps and AI agents: one source that covers many employers, instead of one scraper per careers site.
• Labor market research: track demand for a skill or a title across a sector over time.
• Job alerts: schedule a run with postedAfter and get only new roles.

How to scrape jobs from Greenhouse, Lever, Ashby and more

1. Click Try for free (or Start) on this page and sign in to Apify.
2. Type the titles you care about in Title keywords, for example data engineer.
3. Pick companies from the built-in directory in Companies, or add any company's board in Board slugs (see Input for where to find a slug). Leave both empty to search the whole directory of 116 companies.
4. Optionally filter on Location, Remote only or Posted after, and set Max results.
5. Click Start. Open the Output tab when the run finishes and export as JSON, CSV, Excel or XML, or read it through the API.

Input

Field	What it does
titleKeywords	Keep roles whose title contains any of these, for example ["data engineer", "machine learning"]. Empty keeps every role.
companies	Names from the built-in directory, for example ["Stripe", "Hugging Face", "Bosch"]. Empty searches all 116.
boardSlugs	Any company's board, by the slug in its careers page URL: [{ "slug": "acme" }]. The ATS is detected for you; add "provider" to skip detection and "company" to set the name shown in results.
location	Keep roles whose published location contains this text, for example London or Germany.
remoteOnly	Keep only roles the board itself marks remote, rather than guessing from the location.
postedAfter	ISO date, for example 2026-09-01. Roles published without a date are kept rather than hidden.
maxResults	Upper bound on returned postings (default 200, up to 5,000). You pay per posting returned.
includeDescription	The full description on every row (default on). Same price either way. Off gives smaller rows and a faster run when many roles come from SmartRecruiters (see How fast is it?); salary, seniority and the types stay, except SmartRecruiters' salary, which comes with its description.

Where to find a board slug:

ATS	Careers page URL	Slug
Greenhouse	boards.greenhouse.io/acme	acme
Lever	jobs.lever.co/acme	acme
Ashby	jobs.ashbyhq.com/acme	acme
SmartRecruiters	jobs.smartrecruiters.com/Acme	Acme
Workable	apply.workable.com/acme	acme
Personio	acme.jobs.personio.de	acme
Pinpoint	acme.pinpointhq.com	acme

Example: remote engineering roles at two directory companies and one company tracked by its slug.

{
  "titleKeywords": ["engineer"],
  "companies": ["Stripe", "Hugging Face"],
  "boardSlugs": [{ "slug": "anthropic", "provider": "greenhouse", "company": "Anthropic" }],
  "remoteOnly": true,
  "postedAfter": "2026-09-01",
  "maxResults": 500
}

Output

The Open roles, Salaries and Descriptions views show the columns that matter for each use; the full row has every field. A row from a real run (2026-10-13, the description shortened here):

{
  "id": "ashby:temporal:a60877d2-e825-4e0f-9f36-230352a9f193",
  "title": "Senior Software Engineer, Cloud Capacity",
  "company": "Temporal",
  "location": "Seattle, Washington",
  "remote": true,
  "department": "Engineering",
  "postedAt": "2026-10-13T17:40:18.220Z",
  "applyUrl": "https://jobs.ashbyhq.com/temporal/a60877d2-e825-4e0f-9f36-230352a9f193/application",
  "provider": "ashby",
  "workplaceType": "remote",
  "employmentType": "Full-time",
  "seniority": null,
  "salaryText": "$140.8K - $231K",
  "salaryMin": 140800,
  "salaryMax": 231000,
  "salaryCurrency": "USD",
  "salaryPeriod": "year",
  "description": "Summary\n\nThe Cloud Capacity team plays a critical role in ensuring the Temporal Cloud is scalable, efficient, and reliable for our customers’ most important workloads. [...]\n\nWhat You'll Do\n\n- Drive the technical vision and roadmap for Temporal’s Cloud Capacity systems [...]",
  "descriptionHtml": "<h1><strong>Summary</strong></h1><p style=\"min-height:1.5em\"><br />The Cloud Capacity team plays a critical role [...]"
}

The run's key-value store also holds a SUMMARY record, so a board that failed never silently shrinks your results, and you can see what each board filled (here, the whole directory):

{
  "boardsSearched": 115,
  "boardsFailed": [{ "company": "Hex", "reason": "No public job board found for 'Hex'." }],
  "boardsTruncated": [],
  "postingsSeen": 19614,
  "duplicatesRemoved": 1390,
  "returned": 4924,
  "chargeLimitReached": false,
  "includeDescription": true,
  "fieldsByProvider": {
    "ashby": { "rows": 368, "description": 368, "salary": 180, "salaryText": 180, "seniority": 0, "employmentType": 368, "workplaceType": 300 },
    "greenhouse": { "rows": 2584, "description": 2584, "salary": 1262, "salaryText": 1262, "seniority": 267, "employmentType": 239, "workplaceType": 187 }
  },
  "descriptionsNotRead": 0,
  "descriptionsNotReadExamples": []
}

boardsFailed names each board that did not answer, with the reason. boardsTruncated names a board read in part, with how many postings it has in total. descriptionsNotRead counts SmartRecruiters roles returned without their description because the posting itself could not be read (after one retry).

How much does it cost to scrape job postings?

Pay per event, no subscription, platform usage included:

Event	Price
Posting returned	$0.90 per 1,000 postings ($0.0009 each), full description and salary included ($0.72 on Apify Business plans)
Run start	$0.00005

Examples:

• 200 postings (the default maximum): $0.18.
• The whole directory, every role with "engineer" in its title (4,924 roles on 2026-10-13): $4.43.
• Apify's free plan includes $5 of monthly usage (apify.com/pricing), enough for about 5,500 postings a month.
• A run whose filters match nothing costs only the start fee: postings that do not match your filters are read but never charged.

Set a maximum cost per run in the run options and the Actor stops cleanly when it is reached.

Use JobsRadar through the Apify API

Run it and get the postings in one HTTP call (your token is in Apify Console under Settings > API & Integrations):

curl -X POST "https://api.apify.com/v2/acts/agenttoolworks~jobsradar-multi-board-job-search/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"titleKeywords": ["data engineer"], "companies": ["Stripe", "Spotify"], "maxResults": 100}'

Node.js, with the official apify-client:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('agenttoolworks/jobsradar-multi-board-job-search').call({
    titleKeywords: ['data engineer'],
    location: 'Berlin',
    maxResults: 100,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
for (const job of items) console.log(job.company, job.title, job.applyUrl);

Python, with the official apify-client:

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("agenttoolworks/jobsradar-multi-board-job-search").call(
    run_input={"titleKeywords": ["data engineer"], "remoteOnly": True, "maxResults": 100}
)
for job in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(job["company"], job["title"], job["applyUrl"])

The API tab on this page has ready-made snippets for every language and endpoint.

FAQ

Which companies are in the built-in directory?

116 companies across the seven systems. Type any of these names in Companies: 1KOMMA5°, Accor, Affirm, Airbyte, Airtable, Algolia, Amplitude, Anthropic, Asana, AssemblyAI, Blueground, BMT, Bosch, Brex, Calendly, Canva, CERN, CFC, Chainguard, CLARK, ClickHouse, Cloudflare, Cockroach Labs, Coinbase, Contentful, Databricks, Datadog, Delivery Hero, Discord, Duolingo, Elastic, Epignosis, ESSS, Experian, Fastly, Figma, Fivetran, Future plc, getquin, GitLab, GoCardless, Grasshopper Bank, Gusto, Hex, HOLOPLOT, Hugging Face, idealworks, IFS, Impulse Space, inMusic, Instacart, Intercom, Intigriti, Lattice, LearnWorlds, Linear, LinkedIn, Lyft, Marqeta, Mercury, meteocontrol, Miro, Mixpanel, Modal, MongoDB, Monzo, Neon, Netlify, Nielsen, Nothing, Notion, Okta, Orfium, ottonova, Oura, Patreon, Penta, Persado, PETER PARK, Pinpoint, Pinterest, PlanetScale, PostHog, Princess Cruises, Qonto, Ramp, Ravelin, Redis, Reverion, Robinhood, Rowden, Scale AI, Secureframe, Semgrep, Sentry, ServiceNow, Skroutz, Sodexo, Spotify, Stripe, Supabase, Swile, tado, Tailscale, Temporal, Thermondo, TP-Link Systems, Ubisoft, Unmind, Vanta, Vercel, Vivid Money, Webflow, Western Digital, Wise, Zapier.

Any other company works through Board slugs.

How do I get only new jobs every day?

Save your input as a task, set Posted after to a recent date, and schedule the task daily in Schedules. Use the stable id field to skip roles you have already seen.

How fast is it?

Measured on Apify on 2026-10-13, at the default memory: a run over the whole directory (116 boards) read 19,614 postings in 28 seconds and returned the 4,924 whose title contained "engineer", with descriptions, in 4 minutes 33 seconds. Most of that is SmartRecruiters: it publishes a description only on each posting, so its 1,624 roles took one request each, paced under SmartRecruiters' documented rate limit. With Full description off, the same search took 32 seconds. A handful of companies takes a few seconds.

Does it include jobs from aggregators like LinkedIn Jobs or Indeed?

No, by design. JobsRadar reads employers' own job boards, which is where roles are published first and where the apply link leads.

How large a board can it read?

SmartRecruiters boards are read 100 postings a page, up to 5,000 postings a board. A larger board is listed in boardsTruncated with its full count, never cut silently. The other systems return the whole board in one response. SmartRecruiters' descriptions and pay are read posting by posting, only for the roles you get back, after your filters and Max results.

Does it return the full job description and the salary?

Yes, on by default, at the same price. The description comes as text (description) and as HTML (descriptionHtml), as the employer published it, with each section under its own heading. The salary comes as the board words it (salaryText) and as numbers (salaryMin, salaryMax, salaryCurrency, salaryPeriod), read from each board's own pay fields: Greenhouse pay ranges, Lever salary ranges, Ashby compensation, Personio salary information, Pinpoint compensation and SmartRecruiters compensation.

Why is the salary empty for many roles?

Because the employer did not publish one. Pay ranges are optional on every one of these systems, and in the whole-directory run above 34% of roles had one (half of Greenhouse and Ashby roles, 83% of Pinpoint's, under 6% elsewhere). Workable has no pay field: employers who state pay there write it in the description, which you get in full. JobsRadar never guesses a salary, and leaves salaryPeriod empty when the board does not name the period, rather than assuming a year.

Why is postedAt empty for some roles?

Pinpoint publishes no posting date, so it stays empty rather than guessed. Those roles are kept when you filter on Posted after.

Can I use it with Make, Zapier, n8n or Google Sheets?

Yes, through Apify's integrations: the dataset works with every Apify integration, and a webhook can fire when a run finishes.

Can AI agents use it through MCP?

Yes, two ways. Apify's hosted MCP server exposes it to MCP clients such as Claude or Cursor: https://mcp.apify.com?tools=agenttoolworks/jobsradar-multi-board-job-search. JobsRadar is also a hosted MCP server and API of its own, billed per search rather than per posting, at agenttoolworks.com/servers/jobsradar.

Is it legal to scrape job postings?

JobsRadar reads only the role listings employers chose to publish, through the public job board APIs the platforms document for career sites. It collects no candidate data.

Something is missing or broken?

Open an issue in the Issues tab. Companies asked for by users get added to the directory.

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Built by AgentToolWorks. Not affiliated with any of the job board platforms named here.