Universal Job Postings Scraper · Any Job Site

Scrape job postings from any job board or company career site that publishes schema.org JobPosting data. Most of them do, because Google for Jobs requires it. Give the actor a list of domains: it finds the offers through each site's sitemap, reads the structured data of every offer page and returns clean, uniform records, whatever the site.

What you can do with it

• Monitor hiring on many sites with one input: job boards, company career pages and niche boards in the same run, with the same output fields.
• Feed a job alert or an aggregator: newest offers come first, and expired offers are skipped by default.
• Find companies that are hiring: employer, location, contract type and remote policy for each posting.
• Benchmark salaries: published salary ranges, currency and period, when the employer publishes them.

How it works

1. The actor reads the robots.txt of each domain. Pages disallowed for User-agent: * are never loaded.
2. It reads the sitemap and keeps the most recent pages that look like job pages.
3. Sitemaps mix offers with category and search pages, so it tests a sample of each kind of address and only keeps reading the kinds that contain a JobPosting.
4. It turns each JobPosting into one record. Contact details are never exported.

Input

Field	What it does
Domains	Job boards or company career sites, for example remoteok.com. Up to 50.
Start URLs	Optional. A listing page or a single offer: the actor reads it and follows the job links found on the same site. Use it when a site has no useful sitemap.
Keywords	Keep only the postings whose title or description contains this text.
Job URL pattern	Optional regular expression that the address of an offer must match. Empty means automatic detection.
Maximum number of postings	The run stops once this many postings are saved, across all domains.
Maximum postings per domain	Keeps one big site from filling the whole run.
Include expired postings	Off by default.
Include full descriptions	Adds the description as plain text.

Output

One record per posting:

{
  "url": "https://example.com/jobs/data-engineer-12345",
  "domain": "example.com",
  "id": "REQ-77",
  "title": "Data Engineer",
  "companyName": "ACME",
  "companyUrl": "https://acme.example",
  "employmentType": ["FULL_TIME"],
  "city": "Paris",
  "region": "Île-de-France",
  "postalCode": "75001",
  "country": "FR",
  "locationLabel": "Paris, Île-de-France, FR",
  "remote": false,
  "salaryMin": 50000,
  "salaryMax": 60000,
  "salaryCurrency": "EUR",
  "salaryPeriod": "YEAR",
  "datePosted": "2026-10-01",
  "validThrough": "2026-12-01",
  "description": "…"
}

Export the dataset as JSON, CSV or Excel, or read it through the Apify API.

Sites tested

Checked on 09/10/2026: remoteok.com, infoempleo.com, welcometothejungle.com, free-work.com, reed.co.uk, remotive.com, cadremploi.fr, jobteaser.com and jobicy.com. Any other site with JobPosting data and a sitemap should work the same way.

Good to know

• The actor only extracts what a site publishes as JobPosting structured data. A site without it returns nothing, and the run log says so.
• Fields a site does not publish, such as salary, stay empty.
• Some sites block automated visits. The actor retries through Apify Proxy, and reports the sites it cannot read.
• Postings come newest first, so a small limit stays fast and cheap.
• The dataset contains job postings only. Recruiter and candidate contact details are never exported.

Pricing

Pay per result: $3.00 per 1,000 postings, plus $0.00005 per run start. For example, 100 postings cost about $0.30. You only pay for the postings you receive, and platform usage is included in that price.

Run it from your code

JavaScript:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('bibian/universal-job-postings-scraper').call({
  domains: ['remoteok.com'],
  keywords: 'python',
  maxItems: 50,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();

Python:

from apify_client import ApifyClient

client = ApifyClient(token="<APIFY_TOKEN>")
run = client.actor("bibian/universal-job-postings-scraper").call(run_input={
    "domains": [
        "remoteok.com"
    ],
    "keywords": "python",
    "maxItems": 50
})
items = client.dataset(run["defaultDatasetId"]).list_items().items

Frequently asked questions

Do I need an account, cookies or a proxy for the sites you list? No. The actor reads publicly visible pages only.

How do I get only the new postings every day? Save a task, set its publication date filter to the shortest window, and schedule it daily with Apify Schedules. Deduplicate on the id field if you keep your own copy.

Which formats can I export? JSON, CSV, Excel, XML, HTML table or RSS, from the dataset page or through the API.

Can I connect it to Make, Zapier, n8n or Google Sheets? Yes, through Apify integrations and webhooks.

Is it legal to scrape? The actor collects publicly visible postings and respects the robots.txt rules of the site. How you use the data is your responsibility: check the site's terms and the laws that apply to you, for example the GDPR.

Something does not work? Open an issue in the Issues tab. Every public actor is test-run daily and the broken ones are repaired.

Did this save you time? A short review on the Store page helps other people find the actor, and tells me what to improve next.

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