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

Fetch machine learning jobs and data science jobs from aijobs.net — AI engineer, ML engineer, data scientist, MLOps, research scientist and more — with company, remote flag, salary bands (where disclosed) and seniority levels. Filter by keyword and location, and page past the first ~50 cards.

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. Populated by default (includeCompany defaults to true) — the listing page never shows it, so it is fetched from each job's own detail page (one extra request per job). null only if you turn includeCompany off.
location	Location / duty station (may include remote hints), or null
isRemote	Boolean remote/onsite flag, derived from the card text (true when it carries a remote hint such as "Remote" or "work from home", else false)
url	Direct link to the posting
postedAt	Posting date/time, computed server-side as ISO-8601 (YYYY-MM-DD, or a full timestamp when the source text is second/minute/hour-precision, e.g. "3h ago") from the source's relative-age text. null when that text doesn't match a known pattern.
postedAtText	The original relative-age text as shown by the source (e.g. "5d ago"), kept verbatim for transparency, 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. Populated by default (the same detail-page fetch that fills company); null only when includeCompany is turned off
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 — narrow with searchQuery (keyword) and location, raise maxItems to page past the first ~50 cards, 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
searchQuery	string	—	Keyword filter (alias: keyword). Keeps only jobs whose card text contains every word you enter (case-insensitive), e.g. machine learning. Empty returns all.
location	string	—	Location filter. Keeps only jobs whose location text contains this value (case-insensitive substring), e.g. Berlin, Germany, Remote. Empty returns all locations.
maxItems	integer	50	How many listing cards to fetch. aijobs.net serves a "Load more" feed, so values above one page (~50) follow the pagination and fetch more cards, up to 300 (8 pages). Keyword/location filters are applied to the fetched cards, so the returned count may be lower. Set 0 to fetch just the first page (~50).
includeCompany	boolean	true	The listing page never shows the company name — only the per-job detail page does. On by default: fetches that page (one extra request per job, no extra per-job price) to populate company and description. Turn off for a faster listing-only pull, in which case both stay null.
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.
cacheTtlSeconds	integer	1800	(Advanced) Cache the page-1 fetch in the key-value store for this many seconds; re-runs within the window skip that call. Load-more pages (2+) are always fetched live. Set 0 to disable.

Output example

Default run (includeCompany: true):

{
  "id": "200475",
  "slug": "competitive-coder-remote",
  "title": "Competitive Coder",
  "company": "micro1",
  "location": "Remote",
  "isRemote": true,
  "url": "https://aijobs.net/job/competitive-coder-remote-200475/",
  "postedAt": "2026-06-29",
  "postedAtText": "5d ago",
  "seniority": "Entry-level",
  "snippet": "Competitive Coder USD 80K-160K C plus plus | Codeforces | Competitive programming ...",
  "description": "Tasks: ... | Perks/Benefits: ... | Skills/Tech-stack: ... | Education: ... | Roles: ...",
  "salary": "USD 80K-160K",
  "salaryMin": 80000,
  "salaryMax": 160000,
  "salaryCurrency": "USD",
  "salaryPeriod": null
}

company and description come from each job's detail page, so they are populated by default (one extra HTTP request per job — the same fetch fills both, at no extra per-job price). Turn includeCompany off for a faster listing-only pull, in which case both are null. 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: $0.005 per Actor start and $0.002 per job returned. 100 jobs ≈ $0.205. 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. aijobs.net serves its listing as a "Load more" feed, so raising maxItems above one page (~50) follows the pagination and fetches more cards, up to 300 (8 pages). Keyword/location filters are then applied to the fetched cards, so the returned count may be lower. Set 0 to fetch just the first page.

Why is company empty? It normally isn't — includeCompany defaults to true, so company (and the full description) is fetched from each job's detail page. company is only null if you turn includeCompany off, or if a particular detail page has no company anchor.

Can I filter by keyword or location? Yes. Set searchQuery (keyword; every word must match) and/or location (substring of the location text). Both are case-insensitive and applied to the fetched cards.

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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