Hiring.Cafe Jobs Scraper

Hiring.Cafe Jobs Scraper exports public job listings from Hiring.Cafe into clean datasets for recruiting, labor-market research, lead generation, and job-board monitoring. Give it a Hiring.Cafe URL or simple filters and get job titles, companies, locations, apply links, salary signals, requirements, workplace type, ATS source, and stable IDs.

Value proposition

Hiring.Cafe Jobs Scraper turns public Hiring.Cafe job pages into structured exports that are easy to filter, deduplicate, and load into recruiting or analytics workflows.

What does this actor do

• Scrapes public Hiring.Cafe search pages and individual job pages.
• Returns one dataset row per job with flat export-friendly fields and nested company details.
• Supports keyword, location, country, remote/hybrid, detail-page, and max-item controls.
• Searches across bounded pages, stops at your limit, and deduplicates jobs across pages and input URLs.
• Saves a RUN_SUMMARY and resumable RUN_CHECKPOINT so interrupted larger runs remain diagnosable and restart safely.

Use cases

• Recruiting teams: build target lists by role, country, workplace type, or company.
• Job boards: monitor public openings and normalize apply URLs.
• Market analysts: study hiring trends, categories, seniority, salary availability, and ATS sources.
• Sales teams: find companies actively hiring for a technology, function, or region.

Who is it for

This Actor is for recruiting teams, job boards, labor-market analysts, sales teams, and automation builders who need structured Hiring.Cafe job data without manual copying.

Input example

{
  "startUrls": [{ "url": "https://hiring.cafe/" }],
  "query": "software engineer",
  "location": "Germany",
  "country": "DE",
  "remoteOnly": false,
  "fetchDetails": true,
  "maxItems": 20,
  "maxPages": 20,
  "runBudgetSeconds": 240
}

Output example

{
  "id": "avature___dbgroup___630756",
  "title": "Nachwuchskräftegesamtkoordinator:in in Teilzeit",
  "companyName": "Deutsche Bahn",
  "location": "Königsborn, Saxony-Anhalt, Germany",
  "workplaceType": "Hybrid",
  "commitment": ["Part Time"],
  "salaryMin": null,
  "salaryMax": null,
  "salaryCurrency": null,
  "applyUrl": "https://jobs.deutschebahngroup.careers/...",
  "jobUrl": "https://hiring.cafe/job/...",
  "source": "avature",
  "requirementsSummary": "University degree or comparable training...",
  "technicalTools": ["Microsoft Outlook", "Microsoft Teams"],
  "postedAt": "2026-07-13T18:16:37.552Z",
  "detailFetchStatus": "ok_direct",
  "warnings": [],
  "scrapedAt": "2026-07-20T20:00:00.000Z"
}

Input settings

Input recipes

• Keyword and country search: use the homepage URL, set query, country, and maxItems.
• Remote/hybrid jobs: set remoteOnly to true and optionally add a query such as data engineer.
• Specific postings: paste Hiring.Cafe /job/... URLs into startUrls and set a small maxItems.
• Recurring monitoring: schedule the same input and dedupe downstream on objectId or id.

Reliability and access behavior

• The Actor uses HiringCafe's structured public search responses and public full-description service instead of rendering every page in a browser.
• Search discovery is paginated with page and item caps, repeated-page detection, stable-ID deduplication, and progressive saves.
• HTTP 403, 429, challenge, timeout, and server-error responses use bounded retries against one shared run deadline.
• Direct access is attempted first. If you provide proxyConfiguration, the Actor can use it as a fallback after direct access is blocked; it does not silently enable residential traffic.
• One failed target or optional description does not discard valid jobs from other targets.

Tips and limits

• Start with maxItems 20-100 while tuning filters.
• Very narrow filters can return zero jobs; broaden the query or location if needed.
• Optional salary, degree, benefit, and language fields are returned as null or empty arrays when not listed.
• location and country are strict output filters. Increase maxPages when a narrow location requires searching more source pages.
• The actor only exports public Hiring.Cafe job data. It does not collect private saved jobs, candidate profiles, accounts, or application state.

Legality

This Actor extracts publicly available job listing information from Hiring.Cafe pages. You are responsible for ensuring your use of the data complies with applicable laws, Hiring.Cafe terms, and privacy obligations in your jurisdiction.

API usage

Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('fetch_cat/hiring-cafe-jobs-scraper').call({
  query: 'software engineer',
  country: 'DE',
  maxItems: 20,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Python

from apify_client import ApifyClient

client = ApifyClient('YOUR_APIFY_TOKEN')
run = client.actor('fetch_cat/hiring-cafe-jobs-scraper').call(run_input={
    'query': 'software engineer',
    'country': 'DE',
    'maxItems': 20,
})
items = client.dataset(run['defaultDatasetId']).list_items().items
print(items)

cURL

curl -X POST 'https://api.apify.com/v2/acts/fetch_cat~hiring-cafe-jobs-scraper/runs?token=YOUR_APIFY_TOKEN' \
  -H 'Content-Type: application/json' \
  -d '{"query":"software engineer","country":"DE","maxItems":20}'

MCP / agent usage

Claude CLI:

claude mcp add --transport http apify "https://mcp.apify.com?tools=fetch_cat/hiring-cafe-jobs-scraper"

JSON config:

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=fetch_cat/hiring-cafe-jobs-scraper"
    }
  }
}

Example prompts:

• "Export 20 public Hiring.Cafe software engineer jobs in Germany."
• "Find remote data engineer jobs on Hiring.Cafe and include apply URLs."
• "Scrape this Hiring.Cafe job URL and summarize the company and requirements fields."

Support

If a Hiring.Cafe page stops returning expected public jobs, open an Apify issue and include:

• your input JSON,
• expected output,
• actual output,
• run ID,
• reproducible public URL (a Hiring.Cafe URL anyone can open).