AI Jobs Scraper (aijobs.net) — ML & Data Roles

Fetch curated AI / ML / data-science openings from aijobs.net with salary bands (where disclosed) and seniority levels.

What AI jobs data does this scraper extract?

Each result is one flat JSON record per job posting:

Field	Meaning
id	Stable source-side identifier
slug	URL slug segment of the posting
title	Job title as posted
company	Hiring company / organisation. null by default — the listing page never shows it, only each job's own detail page does. Set includeCompany: true to fetch it (one extra request per job).
location	Location / duty station (may include remote hints), or null
url	Direct link to the posting
postedAt	Relative posting age as shown by the source (e.g. "5d ago"), or null
seniority	Experience-level badge from the card: Entry-level, Mid-level, Senior-level or Executive-level, or null
snippet	Short description excerpt (from the listing card, ~400 chars)
description	Fuller JD text (Tasks / Perks / Skills / Education / Roles) assembled from the job's detail page, up to 5000 chars. Only populated when includeCompany: true fetches that page (same request, no extra cost); null otherwise
salary	Raw salary-band text, e.g. "USD 80K-160K". Only ~half of postings disclose one; null otherwise
salaryMin / salaryMax	Parsed band bounds (whole currency units, e.g. 80000), or null
salaryCurrency	3-letter currency code parsed from the badge, or null
salaryPeriod	Pay period (year/month/hour) — always null; the source never labels which period the band covers

How to scrape AI jobs with this Actor

1. Click Try for free / Run — no login to the target site, no cookies, no proxies to configure.
2. Adjust the input (maxItems, euBias, includeCompany) or keep the defaults.
3. Run it and export the dataset as JSON, CSV or Excel, or read it over the API.

Run it from your own code:

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("nomad-agent/ai-jobs-net-scraper").call(run_input={"maxItems": 50, "includeCompany": True})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["title"], "—", item["company"], item["url"])

Or a single HTTP call that runs the Actor and returns items in one response:

curl -X POST \
  "https://api.apify.com/v2/acts/nomad-agent~ai-jobs-net-scraper/run-sync-get-dataset-items?token=<YOUR_APIFY_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"maxItems": 50}'

Input

Field	Type	Default	Notes
maxItems	integer	50	Maximum number of job listings to return. aijobs.net's listing is a single, non-paginated page holding roughly 40-50 cards — this Actor cannot structurally return more than that page has, however high you set this. Set 0 to return every card found.
euBias	boolean	false	When enabled, listings whose location or title hints at a European country or remote-EU are sorted to the top. Non-EU jobs are still returned; they just appear later.
includeCompany	boolean	false	The listing page never shows the company name — only the per-job detail page does. Enable this to fetch that page (one extra request per job) and populate company and description. Off by default, in which case both stay null.
cacheTtlSeconds	integer	1800	(Advanced) Cache the upstream fetch(es) in the key-value store for this many seconds; re-runs within the window skip the network call. Set 0 to disable.

Output example

Default run (includeCompany: false):

{
  "id": "200475",
  "slug": "competitive-coder-remote",
  "title": "Competitive Coder",
  "company": null,
  "location": "Remote",
  "url": "https://aijobs.net/job/competitive-coder-remote-200475/",
  "postedAt": "5d ago",
  "seniority": "Entry-level",
  "snippet": "Competitive Coder USD 80K-160K C plus plus | Codeforces | Competitive programming ...",
  "description": null,
  "salary": "USD 80K-160K",
  "salaryMin": 80000,
  "salaryMax": 160000,
  "salaryCurrency": "USD",
  "salaryPeriod": null
}

With includeCompany: true, company and description are both populated (e.g. company: "micro1", description: "Tasks: ... | Perks/Benefits: ... | Skills/Tech-stack: ... | Education: ... | Roles: ...") at the cost of one extra HTTP request per job — the same detail-page fetch fills both fields. Roughly half of postings don't disclose a salary band at all; on those, salary, salaryMin, salaryMax and salaryCurrency are all null.

Pricing

Pay per event: $0.05 per Actor start and $0.004 per job returned. 100 jobs ≈ $0.45. No subscription, no rental — you pay only for what you fetch. Enabling includeCompany adds an extra request per job but does not change the per-job price.

Use cases

• AI-specialist job boards and newsletters
• Tracking ML-engineer demand and salaries
• Sourcing AI talent pipelines
• Feeding the ml-ai-dev-bundle with anchor data

FAQ

Is it legal to scrape AI jobs? This Actor reads only publicly available job postings — data any visitor can see without logging in. No personal data behind authentication is touched. Review the target site's terms and your local regulations for your specific use case.

Do I need an account on the target site? No. Postings are fetched from public pages/APIs — no login, cookies or session tokens.

How fresh is the data? Every run fetches live listings. Results are cached for cacheTtlSeconds (default 30 min, set 0 to always hit the source live).

How many jobs can I get? maxItems caps the run, up to whatever the aijobs.net homepage currently holds — typically 40-50 listings. This is a single, non-paginated page, so that's the hard ceiling; there's no "page 2" to crawl for more.

Why is company empty? By default this Actor doesn't fetch it — the listing page never includes the company name, only each job's own detail page does. Set includeCompany: true to fetch it (one extra request per job).

Something broken or missing? Open an issue on the Actor's Issues tab — it is monitored and reliability fixes ship fast.

Integrations

Export the dataset as JSON, CSV, Excel/XLSX, or plug it straight into Make, Zapier or n8n via the Apify integrations. For one-shot pulls, call run-sync-get-dataset-items to run the Actor and get items back in a single HTTP response, or drive it through the Apify MCP server from any MCP-compatible agent.

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