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.

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": "",
  "description": "Complete posting body...",
  "snippet": "Complete posting body...",
  "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.