American Jobs Scraper - 6 Sources in One

One call for US-focused job data. This bundle fans out to 6 existing job-source Actors, merges their results, dedupes by URL, and returns one flat dataset of live American job postings.

Claude / Codex skill to describe and setup this actor: SKILL.md

This is an unofficial scraper bundle. It is not affiliated with LinkedIn, AI Jobs, Built In, RemoteOK, Remotive, WeWorkRemotely, Himalayas, Hacker News, Y Combinator, or any listed employer.

Sources included

Source key	Coverage
linkedin	LinkedIn jobs, default location: United States
ai_jobs_net	AI, ML and data jobs with United States location
builtin	US tech and startup jobs from Built In
remote_boards	RemoteOK, Remotive, WeWorkRemotely and Himalayas
hackernews	Hacker News Who Is Hiring
ycombinator_was	Y Combinator Work at a Startup

Company ATS Actors like Greenhouse, Lever, Ashby and Workable are not included because they require buyer-supplied company lists. Wellfound is also excluded because the current source Actor is not public/priced, so external bundle users cannot reliably call it.

How the bundle works

This is a bundle Actor. Every selected source is scraped inside this Actor's own run — no separate child-actor runs, no stacked fees. Each source's records are mapped onto one shared schema, deduped by URL, and pushed as one merged output. Each source fails open independently: if one board errors or times out, the other sources still return.

Use sources to run a cheaper subset, keyword to filter sources that support free-text search, and location to override the default United States text for LinkedIn and AI Jobs.

Incremental mode

Turn on incrementalMode for scheduled alerts. The bundle remembers listing URLs it has already delivered in a key-value store on your own Apify account. Later runs skip those already-seen postings and do not charge this bundle's per-result event for them.

Input example

{
  "keyword": "software engineer",
  "location": "United States",
  "maxItemsPerSource": 10,
  "maxItems": 50
}

Output fields

Each normal row uses the same flat bundle schema:

{
  "source": "linkedin",
  "id": "123456",
  "title": "Software Engineer",
  "company": "Example Inc.",
  "location": "United States",
  "url": "https://example.com/job/123456",
  "postedAt": "2026-07-07",
  "deadline": "",
  "snippet": "Short posting excerpt...",
  "salary": "",
  "hiringContactName": null,
  "hiringContactTitle": null,
  "hiringContactUrl": null
}

On linkedin rows the bundle also returns hiringContactName, hiringContactTitle and hiringContactUrl — the person LinkedIn names as the job poster, i.e. who to write to. LinkedIn names someone on roughly a quarter of postings; the fields are null on the rest and on every other source. They cost no extra requests and nothing is guessed.

Fields a source does not provide are returned as empty strings rather than guessed.

Python client

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("nomad-agent/american-jobs-bundle").call(run_input={
    "keyword": "engineer",
    "maxItems": 50,
})

items = client.dataset(run["defaultDatasetId"]).list_items().items
print(len(items), items[:1])

cURL

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

Cost note

You pay only this bundle's pay-per-event pricing: one actor-start per run plus one result event per unique job delivered. All 6 sources are scraped in-process — there are no additional child-actor charges. Use sources, maxItemsPerSource and maxItems to control spend, and a "Maximum cost per run" limit is honored (the run stops delivering at the cap).

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From the maker of Oink — an open-source, AI-powered job-search bot for Telegram that runs on these Actors. Try the free bot, get a managed instance at oinkjobsearch.com, or browse the full catalog of 50+ Actors.