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

Every row follows nomad-agent-job-row-v1, the one shape shared by all of this fleet's job Actors. A row carries every field; null means the source did not publish that fact, and locations: [] means no usable location was parsed from the posting. Nothing is guessed.

{
  "schemaVersion": "nomad-agent-job-row-v1",
  "recordType": "posting",
  "source": "linkedin",
  "id": "a1b2c3",
  "url": "https://example.com/linkedin/jobs/a1b2c3",
  "title": "Senior Backend Engineer",
  "company": "Example Company",
  "locations": [
    "Bilbao",
    "Spain"
  ],
  "postedAt": "2026-09-02T00:00:00Z",
  "deadline": "2026-10-15",
  "description": "The complete posting body as plain text, exactly as the source published it — never truncated.",
  "descriptionHtml": null,
  "workType": null,
  "custom": {
    "schemaId": "nomad-agent-job-custom-american-jobs-bundle-v1",
    "data": {
      "hiringContactName": "…",
      "hiringContactTitle": "…",
      "hiringContactUrl": "…"
    }
  }
}

Field	Meaning
schemaVersion	Always "nomad-agent-job-row-v1".
recordType	"posting" for a job, "diagnostic" for a row reporting something about the run itself.
source	Which job source the posting came from, from the collector registry's vocabulary — not the Actor name.
id	Stable identifier for the posting within source.
url	Canonical public URL of the posting on the source site.
title	Job title exactly as the source publishes it, untruncated.
company	Employer name as published.
locations	Places the role is based, most specific first — e.g. ["Bilbao", "Spain"].
postedAt	When the source published the posting, ISO-8601 UTC (YYYY-MM-DDTHH:MM:SSZ).
deadline	Closing date for applications as an ISO-8601 calendar date (YYYY-MM-DD).
description	The complete posting body as plain text — never truncated, never summarised.
descriptionHtml	The posting body as the source's own markup, preserving lists, headings and links.
workType	Working arrangement: "remote", "hybrid" or "onsite".
custom	Facts only this source publishes, as {"schemaId", "data"}.

A run also emits diagnostic rows — recordType: "diagnostic" with a warnings array — when it has something to report, such as a source returning nothing. They are never billed and are easy to filter out on recordType.

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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