AI & ML Engineer Jobs Scraper — 8 Boards in One

One call, eight sources. Fans out to 8 job-source actors tuned for AI/ML roles, merges and dedupes into a single dataset.

What machine learning jobs data does this scraper extract?

Each result is one flat JSON record per job posting:

Field	Meaning
title	Job title as posted
company	Hiring company / organisation
location	Location / duty station (may include remote hints)
url	Direct link to the posting
postedAt	Posting date where the source provides it
salary	Salary text where the source provides it
snippet	Short description excerpt
id	Stable source-side identifier

How the bundle works

This is a bundle Actor: one endpoint that fans out to the individual job-source Actors listed below, runs them concurrently, maps every record onto one flat schema and dedupes by URL across boards. You can restrict the run to a subset with the sources input. Each child source is charged its own pay-per-event pricing on top of this bundle's — that is the cost of one-call breadth.

How to scrape machine learning 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 (keyword, filters, maxItems) 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-jobs/ml-ai-dev-bundle").call(run_input={"maxItems": 50})
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-jobs~ml-ai-dev-bundle/run-sync-get-dataset-items?token=<YOUR_APIFY_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"maxItems": 50}'

Input

Field	Type	Default	Notes
sources	array	["linkedin", "ai_jobs_net", "hackernews", "ycombinator_was", "builtin", "remote_boards", "wttj", "justjoinit"]	Which boards to include. Leave empty to query the full bundle.
keyword	string	""	Optional free-text filter forwarded to children that support it (others ignore it).
maxItemsPerSource	integer	36	Cap on items fetched from EACH child board before merge.
maxItems	integer	0	Hard cap on the merged, deduped output. 0 = no cap.
cacheTtlSeconds	integer	1800	Forwarded to children: cache upstream fetch for this long. 0 disables.
concurrency	integer	6	How many child boards to run in parallel.
runTimeoutSecs	integer	120	Server-side cap on each child actor run.
apifyToken	string	""	Only needed for LOCAL runs. On the platform the token is injected automatically.

Output example

{
  "source": "ai_jobs_net",
  "id": "200475",
  "title": "Machine Learning Engineer",
  "company": "Hugging Face",
  "location": "Remote",
  "url": "https://aijobs.net/job/machine-learning-engineer-remote-200475/",
  "postedAt": "2026-06-28",
  "salary": "$140K–$200K"
}

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.

Use cases

• AI-specialist job boards
• ML-engineer alert bots
• AI-talent market research
• Recruiting pipelines for data/ML teams

FAQ

Is it legal to scrape machine learning 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 (set 0 where supported for no cap). Most sources paginate from newest to oldest.

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

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