Job Postings Dataset: 320k+ Open Jobs, Updated Daily

Job Postings Dataset: 324,000 Open Jobs from Company Career Sites, Updated Daily

Every open job on more than 11,000 company career sites, collected fresh each day: 324,634 jobs on 15 November 2026, about 150,000 of them with a posted salary. The jobs come straight from employers' own Greenhouse, Lever and Ashby boards, so there are no reposts from job aggregators and no expired ads.

Export the whole table or a filtered slice to CSV, Excel or JSON. Or schedule it and get only the jobs that opened and closed since your last run.

Who uses it

• Sales and recruiting teams looking for companies that are hiring right now. A company that opens five sales roles has budget.
• Job boards and HR tech products that need a daily feed of real jobs from employers.
• Researchers and analysts tracking hiring by company, role, country and pay, with the date each job opened and closed.

What you get

US jobs with a posted salary that first appeared on 14 and 15 November 2026:

Company	Job	Location	Pay (USD per year)	Posted
Ashby	Senior DevSecOps Engineer	Remote, US	178,000 to 250,000	13 Nov
Fieldguide	Principal/Staff Product Manager, Risk Advisory	San Francisco or remote	225,000 to 315,000	13 Nov
Crusoe	Senior Software Engineer, Storage	San Francisco, CA	170,000 to 190,000	13 Nov
Airwallex	Senior Manager, Obligations Management	Dallas	128,000 to 210,000	12 Nov
Coder	Senior Account Executive (US West)	United States	123,000 to 167,000	13 Nov
Finni Health	Board Certified Behavior Analyst	Remote, US	80,000 to 85,000	13 Nov

Each row has about 25 columns: company, title, department, location, country code, remote/hybrid/onsite, employment type, salary range with currency and period, job function, seniority and the apply link. You also get two dates nobody else gives you: firstSeen, the day we first saw the job, and closedOn, the day it came down.

Three ways to use it

Mode	What you get	Good for
snapshot (default)	Every open job that matches your filters	One-off exports, research
new	Jobs first seen in the last N days (newWithinDays)	A daily "who started hiring" list
changes	Jobs that opened or closed since your last run	Scheduled feeds, CRM and Sheets sync

Price

$1.20 per 1,000 jobs. There's no start fee. 100 jobs cost $0.12. In changes mode a day with nothing new costs nothing.

For scale: the default filters (jobs posted in the last 30 days, evergreen ads left out) matched 93,976 jobs on 15 November, so the full export costs about $113. Set maxItems to cap a run.

How to run it

Engineering jobs in Germany:

{
  "countries": ["Germany"],
  "roleFamilies": ["Engineering"],
  "maxItems": 500
}

US jobs paying $150,000 to $250,000:

{
  "countries": ["United States"],
  "minSalary": 150000,
  "maxSalary": 250000,
  "maxItems": 500
}

A daily feed into Google Sheets. Save this as a task, schedule it daily and connect the Google Sheets integration. Each run appends only the jobs it hasn't sent you before, always in the same column order:

{
  "countries": ["United Kingdom"],
  "roleFamilies": ["Sales"],
  "outputFormat": "sheets_flat",
  "cursor": "auto",
  "maxItems": 200
}

Ready-made searches, each with sample results on its own page:

• New US job postings today
• Remote engineering jobs in Germany
• UK sales jobs
• Jobs opened and closed at Spotify

Input

Field	Default	What it does
mode	snapshot	snapshot, new or changes (see above).
newWithinDays	1	For new: how many days back to look.
search	none	Keywords that must all appear in the title, description, company or department.
titleContains, excludeTitleKeywords	none	Keep jobs that mention any of these words, then drop jobs that mention any of those.
companies, excludeCompanies	all	companies limits to named companies or board tokens. excludeCompanies drops jobs from named companies or board tokens before that include, so excluded jobs are never returned.
ats	all	greenhouse, lever or ashby.
countries	all	Country names or codes: Germany, US.
locations	all	Any part of the location: Berlin, EMEA.
roleFamilies	all	For example Engineering, Sales, Data/Analytics, Product Management.
seniority	all	Intern, Junior, Mid, Senior, Lead/Principal.
remoteOnly	false	Remote jobs only.
hasSalary	false	Only jobs with a posted pay range.
minSalary, maxSalary	none	Keep jobs whose posted range overlaps this band.
postedWithinDays	30	Jobs posted in the last N days. 0 means any date.
includeEvergreen	false	Include talent-pool ads and ads posted 180 or more days ago.
includeAggregators	false	Include staffing boards that repost other companies' jobs.
newlyHiringCompanies	false	One row per company that opened at least one role in the last newlyHiringWithinDays (7 by default).
output	rows	events returns a compact feed of new, changed and closed jobs.
outputFormat	rows	sheets_flat keeps one fixed column order for spreadsheets.
cursor	none	auto returns only jobs this exact input hasn't returned before.
maxItems	100	The most jobs to return. 0 returns every match.

Output fields

changeType (open, new or closed), id, company, ats, board, title, department, location, countryCode, workplaceType, employmentType, postedAt, url, salaryMin, salaryMax, salaryCurrency, salaryPeriod, roleFamily, seniority, firstSeen, trackedSince, generalApplication, evergreen, closedOn, daysOpen (closed jobs), dataAsOf.

Every column is flat, so the file opens cleanly in Excel or Google Sheets.

FAQ

How fresh is it? We collect every board once a day, around 23:00 UTC. dataAsOf on each row gives the date.

Which sites does it cover? Company career sites hosted on Greenhouse (5,838 companies), Ashby (3,501) and Lever (1,903). It doesn't include LinkedIn, Indeed or Workday.

How far back does the closed-job history go? We started tracking on 31 October 2026, so closedOn and daysOpen cover the days since then, and the history grows by a day every day.

Why do some jobs have no salary? The employer didn't post one. We never estimate missing values. Set hasSalary: true to get only jobs with a range.

Where do roleFamily and seniority come from? We assign them from the job title and department. The employer doesn't provide them, so treat them as a good guide rather than an official label.

How is this different from ATS Jobs Search? Both read the same data. ATS Jobs Search is built for keyword searches and single companies. This Actor is built for bulk exports and daily change feeds.

I need a filter that isn't here. Open an issue on the Issues tab and tell us what you're trying to pull.

Ready-made examples

Each one opens a saved run you can copy and start with one click.

• New US job postings today: Every job first seen in the last 24 hours at US employers, from 11,000+ company career boards on Greenhouse, Lever and Ashby
• Remote engineering job postings in Germany
• UK sales job postings: Sales job postings in London
• Job postings opened and closed at Spotify: Which jobs a company opened and closed since the last snapshot, here Spotify

Use it from AI agents (MCP) and Python

AI agents. Add this Actor as a tool in Claude, Cursor, VS Code or any MCP client through the Apify MCP server. The agent reads the input schema, so a plain request is enough.

{
  "mcpServers": {
    "job-postings-dataset": {
      "url": "https://mcp.apify.com?tools=redomic/job-postings-dataset",
      "headers": {
        "Authorization": "Bearer <YOUR_APIFY_TOKEN>"
      }
    }
  }
}

Python. pip install apify-client, then:

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("redomic/job-postings-dataset").call(run_input={"mode": "snapshot", "maxItems": 5})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

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