Career Site Jobs Scraper: open roles from a company careers page, no account needed

Paste a careers page, a bare domain, a job-board URL or just a company name. You get one row per open job, with the title, location, department, posted date, the apply link, and the salary where the board publishes one.

The catch to know before you buy: it reads ten applicant tracking systems. A company running on anything else comes back as an uncharged diagnostic row saying so, not as data.

Input	Careers page URLs, domains, board URLs or company names
Output	One row per open job
Ceiling	50 companies and 5,000 jobs per run
Account needed	None
Price	$0.55 per 1,000 jobs, flat on every plan

🔎 What Career Site Jobs Scraper does

Most careers pages are a thin front end over an applicant tracking system, and those systems publish the open roles as plain JSON so the company page has something to draw. That feed is what this reads. Ten families are covered: Greenhouse, Lever, Ashby, Workable, SmartRecruiters, Recruitee, Personio, Teamtailor, Breezy HR and Workday.

The work it saves you is the detection. Knowing in advance that Figma hires through Greenhouse under the token figma and that Ramp uses Ashby is fine for three companies and hopeless for three hundred. Paste whatever you happen to have, and every row comes back stamped with the ats and the boardToken it resolved to, so your first run also builds that mapping for you.

You can narrow the rows too: words in the title or the location, the system, remote only, jobs that show a salary, or an employment type. Jobs a filter leaves out are not charged.

📥 What you give it

Every field is optional. Run it with the input empty and you get one labelled sample row so you can see the shape first.

{
  "companies": [
    "https://www.figma.com/careers",
    "https://jobs.ashbyhq.com/ramp",
    "notion.com",
    "Databricks"
  ],
  "maxItems": 100,
  "titleIncludes": ["engineer", "engineering"],
  "titleExcludes": ["intern"]
}

Field	Default	What it is
companies	none	One entry per company, up to 50. A careers page, a bare domain, a board URL, or the company name on its own.
maxItems	50	Total jobs across every company, 1 to 5,000. The budget is split evenly, so five companies and 50 jobs gives ten each.
fullDetails	false	Adds a plain-text description to each row, and fills in the posted date on Ashby rows. Much heavier, because those feeds carry the whole job text.
titleIncludes	none	Keep only jobs whose title has one of these words or phrases. Whole words, any case: engineer finds "Senior Engineer" but not "Engineering Manager", so list both if you want both.
titleExcludes	none	Leave out jobs whose title has any of these, for example intern (which leaves "International Sales" alone).
locationIncludes	none	Keep only jobs whose location, as the board wrote it, has one of these. Whole words, so US finds "Remote - US" and not "Austin".
locationExcludes	none	Leave out jobs whose location has any of these.
remoteOnly	false	Keep only jobs the board marks remote: the remote flag on Lever, Ashby, Workable, SmartRecruiters, Recruitee and Breezy HR, or the word "remote" in the location on Greenhouse, Personio and Workday (in the title on Teamtailor). Hybrid jobs never count.
hasSalary	false	Keep only jobs whose salary carries a figure. Only Lever, Ashby, Recruitee and Breezy HR publish pay, so companies on the other six are skipped.
employmentTypes	none	Any of fulltime, parttime, contract, temporary, internship, permanent, matched on the board's own employmentType wording. Contract also takes contractor and freelance; temporary takes fixed term, short term and seasonal; internship takes intern, trainee, apprentice and working student. A job with no type is left out, and Greenhouse and Workday publish none, so their companies are skipped.
atsIncludes	none	Read only companies on these systems: greenhouse, lever, ashby, workable, smartrecruiters, recruitee, personio, teamtailor, breezy, workday.
atsExcludes	none	Skip companies on any of these systems.
proxyUrls	none	Leave it empty for a normal run. It exists for callers who want the traffic to leave through servers they already pay for, as http://user:pass@host:port.

A board URL is the most reliable input, a domain is next, a bare name is loosest. Workday always needs a full URL, because its addresses carry a tenant and a site name nothing can guess.

Filters run on what each board sends, so a strict one can return fewer jobs than maxItems. On Lever, SmartRecruiters and Workday, which send boards in pages, a filtered run reads at most 1,000 jobs per company, or the company's share of maxItems if larger. A company no filter could pass, say a Greenhouse board when you ask for a salary, gets one free row saying it was skipped.

📤 What you get back

A real row, from run VwcL7Y48Jfl3CxOKL:

{
  "ok": true,
  "charged": true,
  "recordType": "job",
  "inputUrl": "https://www.figma.com/careers",
  "company": "figma",
  "ats": "greenhouse",
  "atsName": "Greenhouse",
  "boardToken": "figma",
  "title": "Distribution Partner Manager",
  "location": "San Francisco, CA • New York, NY • United States",
  "remote": null,
  "department": "Business Development",
  "employmentType": null,
  "postedAt": "2026-02-28T00:00:43.000Z",
  "applyUrl": "https://boards.greenhouse.io/figma/jobs/5813967004?gh_jid=5813967004",
  "jobUrl": "https://boards.greenhouse.io/figma/jobs/5813967004?gh_jid=5813967004",
  "jobId": "5813967004",
  "salary": null,
  "detectedVia": "token",
  "scrapedAt": "2026-09-21T01:23:09.209Z"
}

Three nulls on that row, and none of them are guesses: Greenhouse publishes no employment type, salary or remote flag in its listing feed.

Field	What it is
inputUrl	The exact string you supplied, so you can join rows back onto your list.
ats, boardToken	The system and the company's id on it. atsName is the same system spelled for people.
jobId	The posting's id on its board. This is the key to diff on when you re-run.
postedAt	ISO 8601 in UTC. null where the board does not publish a date.
location	As the company wrote it, not normalised. One writes "Remote - US", another writes the full country.
detectedVia	url if your input already named the board, token if it was matched from the domain or name, html if it was read off the careers page.

🧾 Reading the output

Three kinds of row, and they are easy to separate.

Row	How to spot it	Billed
A job	recordType: "job"	yes
The sample row	_sample: true, and only when the input named no companies	no
A diagnostic	_diagnostic: true and ok: false	no

Filter on recordType == "job" and you have your jobs. The charged field is written when the row is built, a moment before the charge goes out, so read it as "this is a real row" rather than as a receipt. If a charge ever fails, the run adds a CHARGE_ERROR diagnostic at the end saying so.

Each diagnostic carries the inputUrl it belongs to and an errorCode:

Code	What it means
NO_RESULTS	The company resolved to no supported board, its board has no open roles, none of its jobs passed your filters, or your filters skip its system. details says which.
BAD_INPUT	A filter could never match, for example an entry with no letters, or hasSalary with only Greenhouse allowed. Nothing was read.
NOT_FOUND	A board id was tried and does not exist.
RATE_LIMITED	A board throttled the run. Split the list across two runs.
SERVER_ERROR, NETWORK	A board answered badly or could not be reached. Re-run it.
BLOCKED	A board turned the request away this time.
TIME_BUDGET	The run ran out of time before it reached that company.
PROXY_INPUT_ADJUSTED	Something in your proxyUrls was not usable and was adjusted.

▶️ How to run it

1. Open Career Site Jobs Scraper and click Try for free.
2. Put your companies in Career page URLs or company names, one per line.
3. Set Maximum jobs. Keep it small on the first run.
4. Tick Include the full job description only if you need the job text.
5. Click Start, then download the dataset as JSON, CSV or Excel, or read it from the Apify API.

💰 How much does it cost?

$0.55 per 1,000 jobs. The same rate on every Apify plan, with no volume tiers.

One charge per job row written to your dataset. Duplicate postings inside a company and jobs your filters leave out are dropped before anything is billed, and neither the sample row nor any diagnostic row is charged. Working out which system a company uses is not billed either: you pay for jobs, not for lookups.

💡 What people use it for

• Watching a named list of companies and diffing on jobId to see what opened this week.
• Building an ATS map for a portfolio or a market, since every row names the system and the token.
• Pulling the full open board of a company before a sales or recruiting push.
• Checking how a role is actually titled across twenty companies before writing a job ad.

🚧 What it does not do

• Ten systems, not all of them. A company on any other software returns a diagnostic row, not data.
• Filters read the board's own words. A remote job the board never flags, or pay written only inside the job text, is left out by remoteOnly or hasSalary.
• A company only resolves if its board id can be derived from its domain or name, or is sitting on its careers page, or you supplied the board URL yourself.
• Posted dates are not universal. Ashby carries them only with full details on, and Personio never does.
• Department, employment type and salary depend on the board, and most boards never publish a salary.
• Open roles only. No history, no closed-job archive.
• Job text is off by default and is flattened to plain text when you turn it on.
• A list that starts with dead entries gives up early and returns TIME_BUDGET rows for the rest rather than grinding through all fifty. Board URLs avoid it entirely.

🧭 Which jobs scraper do you need?

If you want	Use
Open jobs from a company's own careers page	This one
Greenhouse, Lever and Ashby boards with full descriptions	Multi-ATS Jobs Scraper
Jobs by keyword and location on LinkedIn	LinkedIn Jobs Scraper
Remote-only listings	Remotive Jobs Scraper
German, Austrian and Swiss listings	XING Jobs Scraper

❓ Questions people ask

What exactly do I paste in? Whatever you have. figma.com, https://www.figma.com/careers or just Figma all reach the same board, and the more specific the input, the fewer lookups.

Why did I get fewer jobs than I asked for? Because the budget is split evenly between companies and some boards are small, because a company returned nothing, or because your filters left most of a board out. Either way you are billed for the rows you got.

Will one broken company kill the run? No. It becomes an uncharged diagnostic row and the run carries on through the rest of your list.

Is scraping job boards legal? These are public feeds companies publish so their own careers pages can render. Apify's write-up on scraping and the law is a fair starting point, and we are not lawyers.

🆘 If something breaks

Open the Issues tab on the actor page. Send the run ID and the exact entry from companies that misbehaved. The diagnostic row's errorCode and inputUrl usually explain it on their own.