Job Feed: 110+ Job Boards & Career Pages in 60+ Countries

The NanoScrape Job Feed Scraper is an Apify actor that extracts structured web data from Job Feed. It returns 91 fields per result including title, company, location, salary, locations, priced at $0.5/1k unique job in aggregated feed, with no API key or monthly subscription required.

One deduplicated, newest-first job feed from 110+ job boards in 60+ countries, 40+ ATS career systems and any company career page. Deepest in Switzerland, Germany and Austria. Daily new-jobs-only runs, radius filter, agency flag, and MCP for AI agents.

What you can scrape — 91 fields per result

Input example — showcase (full detail)

{
  "countries": [
    "DE",
    "AT",
    "CH",
    "UK"
  ],
  "keywords": [
    "Software Engineer"
  ],
  "location": "Zürich",
  "includeJobDetails": true,
  "includeContactData": true,
  "includeCompanyDetails": true,
  "includeCompaniesWithoutJobs": true,
  "includeReportRowsInDataset": true
}

Output example — real dataset item (PII scrubbed)

{
  "job_id": "70901c999a55d44e",
  "job_id_aliases": [
    "70901c999a55d44e"
  ],
  "title": "Laboratory Technician - Organic Synthesis",
  "company": {
    "name": "nemensis ag",
    "url": null,
    "domain": null,
    "is_agency": true,
    "agency_type": "staffing",
    "agency_confidence": "high",
    "is_agency_signal": true
  },
  "location": {
    "raw": "Basel, BS",
    "city": "Basel",
    "region": "BS",
    "country": "CH",
    "remote": "",
    "postal_code": "4056"
  },
  "employment_type": "permanent",
  "workload_pct": {
    "min": 100,
    "max": 100
  },
  "salary": {
    "min": null,
    "max": null,
    "currency": null,
    "period": null,
    "source": null
  },
  "posted_date": "2026-10-06T00:00:00.000Z",
  "first_seen": "2026-10-31T17:40:16.776Z",
  "last_seen": "2026-10-31T17:40:16.776Z",
  "content_hash": "3aaf86bb010ca62382bf95abea8e3ff3dc9d8af3b60e184ae868c46fdda7aa12",
  "language": "de",
  "description_text": "Maintain precise and compliant documentation in the electronic lab notebook (eLN), following Good Documentation Practice Flag safety observations and operational risks proactively, and support a strong HSE and GxP compliance culture Your Profile Completed apprenticeship as a Laboratory Technician (Laborant",
  "description_md": "Maintain precise and compliant documentation in the electronic lab notebook (eLN), following Good Documentation Practice\nFlag safety observations and operational risks proactively, and support a strong HSE and GxP compliance culture\n\nYour Profile\n\n Completed apprenticeship as a Laboratory Technician (<em>Laborant</em>",
  "apply_url": "https://www.nemensis.com/jobs/detail/22wmtS-laboratory-technician-organic-synthesis-mwd_4051-basel",
  "contacts": [
    {
      "salutation": "Herr",
      "first_name": "Phillip",
      "last_name": "Rogers",
      "email": "[email protected]",
      "phone": "+41612059867",
      "source_platform": "arbeit-swiss"
    }
  ],
  "matched_query": "Laborant",
  "relevance_score": 0,
  "sources": [
    {
      "platform": "arbeit-swiss",
      "url": "https://www.job-room.ch/job-search/82c342c9-0bcf-4ecc-a34d-fe5990b1e0e3",
      "source_id": "82c342c9-0bcf-4ecc-a34d-fe5990b1e0e3",
      "first_seen": "2026-10-31T17:40:16.776Z",
      "company_name": "nemensis ag"
    }
  ],
  "dedup_key": "laboratory technician organic synthesis|nemensis|basel",
  "_platform": "arbeit-swiss",
  "expires_at": "2026-11-06T00:00:00.000Z",
  "job_status": "open",
  "requirements": [
    "Completed apprenticeship as a Laboratory Technician (<em>Laborant</em>"
  ],
  "end_date": "2027-10-01",
  "starts_immediately": true,
  "work_forms": []
}

Cost math

Priced at $0.0005 per unique job in aggregated feed. 10 unique job in aggregated feeds ≈ $0.01, 100 ≈ $0.05, 1,000 ≈ $0.50. The first runs land inside Apify's $5/mo free-tier credit — pay only for what you extract, no monthly subscription.

Start from a Google Maps place list

• Hiring signals in Google Maps Scraper: if your list of companies comes from Google Maps, you do not need to collect websites first. Turn on enableHiringSignals in the Google Maps Scraper and it sends each place that has a website to Job Feed, then adds hiring_* fields to every place.
• What each place gets: hiring_status (hiring, no_open_roles, not_read or no_website), hiring_open_roles_count, up to 5 sample role titles in hiring_roles, and the careers page in hiring_jobs_url. not_read means the site could not be checked, not "not hiring".
• Good for: recruiting agencies and sales teams who search by trade and city first ("dentists in Zurich") and then want to know which of those businesses are hiring.
• Cost: the add-on adds no Google Maps charge. You pay only the Job Feed actor's own events (and the website and career-site extractors it calls) in your account. In our sample of 40 Swiss and German companies with the default cap of 5 roles, a place that is hiring cost about $0.035 to $0.05, the worst case was about $0.073 per place, and places that could not be read cost about $0. Places without a website, or whose website is a directory or social profile, are never sent and are not charged.
• Limits: hiringSignalsMaxPlaces (default 50, up to 500) caps how many places are checked per run. Career sites that only work in a browser are skipped unless hiringBrowserFallback is on. Already have a list of company websites? Run Job Feed directly instead.

Integrations

• n8n / Make / Zapier — trigger runs and process results via webhook
• AI Agents (MCP) — Claude Desktop, Cursor, VS Code, LangChain, LlamaIndex
• Python / Node.js — Apify SDK for programmatic access
• Google Sheets / Airtable — export via Apify integrations

Run this actor directly on Apify (no code)

Click Open on Apify above to run job-feed in your browser - no code, no install. In the Apify console you get:

• One-click test - fill in the input form, or paste the JSON example above into the JSON editor tab, then hit Start.
• Live output - watch rows stream into an interactive Output table as they arrive, or flip to the raw JSON / Log view.
• Export in any format - one click to download the dataset as JSON, CSV, XML, Excel, HTML table, RSS, or JSONL.
• Schedules - run this actor daily, weekly, hourly, or on a custom cron. Apify handles timing and stores every dataset run.
• Integrations & webhooks - fire a webhook on success/failure, or plug into Zapier, n8n, Make, Airbyte, Google Sheets, Slack, S3, Postgres, and more from the Actions tab.
• Transparent cost - see exact usage against your $5/month free tier before you spend a cent.

Get your Apify API token

To run this actor from your own code you need an Apify API token. Get one in about a minute:

1. Sign up for a free Apify account (Google, GitHub, or email).
2. Go to Settings → Integrations → API tokens.
3. Click Create a new API token. Copy it and keep it secret.

Free tier: Apify credits your account with $5 of platform usage every month, no credit card required. Enough to test any actor meaningfully. How many results that covers depends on the actor's price per result.

Call from code

Run this actor from any language via the Apify REST API. Replace YOUR_TOKEN with your API token and adapt the input JSON to your needs.

curl -X POST "https://api.apify.com/v2/acts/santamaria-automations~job-feed/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{}'

// npm install apify-client
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('santamaria-automations/job-feed').call({});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

# pip install apify-client
from apify_client import ApifyClient

client = ApifyClient('YOUR_TOKEN')
run = client.actor('santamaria-automations/job-feed').call(run_input={})
items = list(client.dataset(run['defaultDatasetId']).iterate_items())
print(items)

// dotnet add package Apify.Client
using Apify.Client;

var client = new ApifyClient("YOUR_TOKEN");
var run = await client.Actor("santamaria-automations/job-feed").CallAsync(new { });
var items = await client.Dataset(run.DefaultDatasetId).ListItemsAsync();

// Maven: com.apify:apify-client
import com.apify.client.ApifyClient;

ApifyClient client = new ApifyClient("YOUR_TOKEN");
ActorRun run = client.actor("santamaria-automations/job-feed").call(Map.of());
List<Map<String,Object>> items = client.dataset(run.getDefaultDatasetId()).listItems();

Use with AI agents (MCP)

This actor is available on the Apify MCP server, so you can drive it from any MCP-compatible AI client - Claude Desktop, Claude.ai, Cursor, VS Code, LangChain, LlamaIndex, or a custom agent - without writing any code.

https://mcp.apify.com?tools=santamaria-automations/job-feed

Example prompt once connected:

"Use <code>job-feed</code> to run a scrape on my target list and give me the results as a table."

Clients that support dynamic tool discovery (Claude.ai, VS Code) receive the full input schema automatically via add-actor.

Use with no-code platforms

Trigger this actor from your favorite automation tool. Every platform below can call the Apify API in a few clicks - no code required.

FAQ

Related actors in this category

Related tutorials

• How to jobs scraper

Last verified run: 2026-11-02 · Actor v0.9.169 · Maintained by NanoScrape (santamaria-automations on Apify)