SmartRecruiters Jobs Scraper: Company Job Boards

The NanoScrape Smartrecruiters Jobs Scraper is an Apify actor that extracts job listings from smartrecruiters.com. It returns 29 fields per result including title, company, location, city, description, priced at $1/1k job, with no API key or monthly subscription required.

Scrape open jobs from SmartRecruiters company boards: title, location, department, employment type, workplace type, stated salary, full description, posting date and apply URL (source platform). Pay-per-result.

Open on Apify →
Pricing
$1.00 / 1,000 job
Runtime
Cloud (Apify)

What you can scrape — 29 fields per result

FieldTypeExampleGroupFill %
idstringsmartrecruiters-1c80e2ce-4b95d7ea-e8ec-4727-8067-24258672c0c3Core100%
ats_job_idstring4b95d7ea-e8ec-4727-8067-24258672c0c3Core100%
titlestringDevOps Engineer for HEP GPU Benchmarks (IT-CE-LCG-2026-168-GRAP)Core100%
apply_urlstringhttps://jobs.smartrecruiters.com/CERN/744000158040029Core100%
job_urlstringhttps://jobs.smartrecruiters.com/CERN/744000158040029Core100%
companystringCERNCompany100%
locationstring | nullGeneva, GENEVA, SwitzerlandLocation100%
citystring | nullGenèveLocation100%
countrystring | nullCHLocation100%
country_sourcestring(populated when data available)Location—
additional_locationsarray | null(populated when data available)Location—
descriptionstring | null<h3>Job Description</h3> <p>The Worldwide LHC Computing Grid (WLCG) project is a global...Description100%
salary_minnumber | null6372Salary100%
salary_maxnumber | null7004Salary75%
salary_currencystring | nullCHFSalary100%
salary_periodstring | nullmonthSalary100%
salary_textstring | nullCHF 6372 - 7004 per monthSalary100%
salary_sourcestring | nullstatedSalary100%
employment_typestring | nullFull-timeEmployment100%
remotebooleanfalseEmployment100%
departmentstring | nullITMetadata100%
posted_at_textstring | null(populated when data available)Metadata—
scraped_atstring2026-10-28T04:16:13ZMetadata100%
ats_platformstringsmartrecruitersOther100%
languagestring | nullenOther100%
workplace_typestring | null(populated when data available)Other75%
created_atstring | null2026-10-27T13:03:59ZOther100%
updated_atstring | null(populated when data available)Other—
hiring_organizationstring | null(populated when data available)Other—

Input example — showcase (full detail)

{
  "companies": [
    "https://jobs.smartrecruiters.com/CERN"
  ],
  "maxResults": 30,
  "includeDescription": true
}

Output example — real dataset item (PII scrubbed)

{
  "id": "smartrecruiters-1c80e2ce-4b95d7ea-e8ec-4727-8067-24258672c0c3",
  "ats_job_id": "4b95d7ea-e8ec-4727-8067-24258672c0c3",
  "title": "DevOps Engineer for HEP GPU Benchmarks (IT-CE-LCG-2026-168-GRAP)",
  "company": "CERN",
  "ats_platform": "smartrecruiters",
  "location": "Geneva, GENEVA, Switzerland",
  "department": "IT",
  "employment_type": "Full-time",
  "remote": false,
  "workplace_type": null,
  "city": "Genève",
  "country": "CH",
  "description": "<h3>Job Description</h3>\n<p>The Worldwide LHC Computing Grid (WLCG) project is a global collaboration of around 170 computing centres in more than 40 countries, linking up national and international grid infrastructures. As computing evolves for the High-Luminosity LHC (HL-LHC) era, WLCG faces a rapidly growing computing demand alongside increasingly heterogeneous hardware environments (CPUs, GPUs, Cloud, and HPC).</p><p>To guide procurement, resource pledging, performance studies and accounting, the High Energy Physics (HEP) community relies on domain-specific benchmarking tools to accurately measure and compare computing resources.</p><p>As a Graduate / Applied Engineer (QUEST), you will join our team in CERN's IT Department to support the development, operation, and user support for WLCG HEPScore benchmarking services. You will contribute to key activities, helping to build and maintain the next-generation benchmarking software stack for the WLCG community.</p><p><strong>Your responsibilities</strong></p><ul><li>Software Development: Actively contribute to the development, packaging, and distribution of the HEP benchmark software stack. Integrate, profile, and validate production-level GPU application workloads from LHC experiment software (e.g., event generation, simulation, fast inference, and HLT).</li><li>Containerisation: Build, test, and maintain container images of HEP workloads using automated GitLab CI/CD pipelines.</li><li>Service Maintenance &amp; Enhancement: Ensure the smooth operation of the core benchmarking infrastructure and data ingestion services using Puppet, GitLab CI/CD, ActiveMQ, Logstash, OpenSearch, Kibana, Apache Spark and Grafana.</li><li>Performance Analysis: Collect, process, and analyze grid-wide benchmark data to evaluate performance scaling across diverse CPU/GPU architectures and server configurations.</li><li>Technical Support: Provide technical support and documentation to the WLCG user community.</li></ul><p><strong>Your profile</strong></p><ul><li>Advanced Python Development: Solid experience in Python programming,including modular code structure,packaging, distribution, and testing.</li><li>Containerisation: Solid understanding of Docker and Apptainer/Singularity, along with familiarity with GPU container execution runtime environments.</li><li>DevOps &amp; Infrastructure Automation: Proficiency with GitLab CI/CD pipelines, container registries, configuration management (Puppet), and deployment methodologies.</li><li>Linux Systems &amp; Performance Profiling: Strong Linux administration and shell scripting skills. Experience in system metrics tracking (e.g., CPU/GPU utilisation, hardware performance metrics, power monitoring).</li><li>Data Analytics Pipelines &amp; Visualisation: Experience with monitoring and data analytics stacks such as OpenSearch/Elasticsearch, Logstash, Kibana, Grafana, or Apache Spark.</li><li>Communication &amp; Collaboration: Good technical writing and communication skills to interact with domain experts across the global WLCG collaboration.</li></ul><p><u>Skills</u></p><ul><li>Programming &amp; Scripting: Python (code, packaging, testing), Bash, Git.</li><li>Containerisation: Docker, Apptainer/Singularity.</li><li>GPU Computing: NVIDIA Container Toolkit, CUDA, nvidia-smi, AMD ROCm, rocm-smi, GPU profiling.</li><li>DevOps: GitLab CI/CD, Puppet, Linux administration.</li><li>Monitoring &amp; Data Analytics: OpenSearch/Elasticsearch, Logstash, Kibana, Grafana, Apache Spark, ActiveMQ.</li><li>Spoken and written English, with a commitment to learn French.</li></ul><p><u>Eligibility criteria:</u></p><ul><li>You are a national of a <a href=\"https://home.cern/about/member-states\" rel=\"noopener noreferrer\">CERN Member or Associate Member State</a>.</li><li>You have a professional background in Applied Physics, Software Engineering (or a related field) and have either:<ul><li>a <strong>Master's degree with 2 to 6 years</strong> of post-graduation professional experience;</li><li>or a <strong>PhD with no more than 3 years</strong> of post-graduation professional experience.</li></ul></li><li>You have never had a CERN fellow or graduate contract before.</li></ul>\n<h3>Additional Information</h3>\n<p>Job closing date: <strong>17.11.2026 at 23:59 CET.</strong></p><p>Contract duration: 24 months, with a possible extension up to 36 months maximum.</p><p>Working hours: 40 hours per week</p><p>Job flexibility: Fully Onsite</p><p>Target start date: 01-January-2027</p><p>This position involves:</p><ul><li>Stand-by duty, when required by the needs of the Organization.</li><li>Work during nights, Sundays and official holidays, when required by the needs of the Organization.</li></ul><p>Job reference: IT-CE-LCG-2026-168-GRAP</p><p>Field of work: Information Technologies</p><p>Benchmark job: 200020 - Computing Engineer</p><div sr-tagline=\"\"></div><p><strong>Global Benefits</strong></p><ul><li>A monthly net stipend of either 6372 or 7004&#xa0;Swiss Francs per month&#xa0;depending on your degree.</li><li>30 days of paid leave per year plus 2 weeks annual closure.</li><li>Coverage by CERN’s comprehensive health insurance scheme (for yourself, your spouse and children), and membership of the CERN Pension Fund.</li><li>Family, child and infant monthly allowances depending on your individual circumstances.</li><li>A relocation package (installation grant and travel expenses) depending on your individual circumstances.</li><li>Possibility to extend your contract up to 36 months.</li><li>On-the-job and formal training including language classes.</li></ul><p><strong>Overview of CERN -&#xa0;Discover a world where the impossible is made possible!</strong></p><p>At CERN, the European Organization for Nuclear Research, we are pushing the frontiers of science and technology. Our groundbreaking work brings together not only physicists but also a diverse range of professionals from engineering, technical, scientific, and administrative fields. Together, we foster an environment where innovation and collaboration thrive.</p><p>Every day, we face exciting new challenges and opportunities to contribute to cutting-edge research that shapes our understanding of the universe. We meet these challenges through the diverse perspectives within our teams, ensuring every contribution is valued and driving our shared sense of inclusion and purpose. Diversity is a core value of CERN since its foundation, and it remains central to our mission and continued success.</p><p>If you are ready to be part of a dynamic, inclusive community pushing the boundaries of knowledge, CERN is the place where your curiosity and skills can thrive. Be part of our mission to uncover what lies at the heart of the universe!&#xa0;<strong>TAKE PART!</strong></p><p><strong>More information about us, here: </strong><a href=\"https://careers.cern/\" rel=\"noopener noreferrer\"><strong>careers.cern</strong></a></p>",
  "apply_url": "https://jobs.smartrecruiters.com/CERN/744000158040029",
  "job_url": "https://jobs.smartrecruiters.com/CERN/744000158040029",
  "language": "en",
  "created_at": "2026-10-27T13:03:59Z",
  "updated_at": null,
  "scraped_at": "2026-10-28T04:16:13Z",
  "salary_text": "CHF 6372 - 7004 per month",
  "salary_min": 6372,
  "salary_max": 7004,
  "salary_currency": "CHF",
  "salary_period": "month",
  "salary_source": "stated"
}

Cost math

Priced at $0.001 per job ($1.00 per 1,000). Filtered-out and duplicate jobs are not charged; a board that is not found costs nothing. The first runs land inside Apify's $5/mo free-tier credit — pay only for what you extract, no monthly subscription.

Input

Put SmartRecruiters board URLs or bare company identifiers in companies (CERN is https://jobs.smartrecruiters.com/CERN); a posting URL is reduced to its board. keywords keeps jobs whose title matches a keyword, and location or countries (ISO-2 codes such as CH) keep jobs in a place; keywords filter the boards you list, they do not search other companies. postedWithinDays drops older jobs, sortBy is newest (default) or relevance. maxJobsPerCompany (default 50) and maxResults (default 100) cap the run, 0 for no limit. includeDescription (default on) adds the description HTML. URLs of other job systems are skipped and never charged. An empty input reads one sample board.

Integrations

Run this actor directly on Apify (no code)

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

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~smartrecruiters-jobs-scraper/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/smartrecruiters-jobs-scraper').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/smartrecruiters-jobs-scraper').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/smartrecruiters-jobs-scraper").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/smartrecruiters-jobs-scraper").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/smartrecruiters-jobs-scraper

Example prompt once connected:

"Use <code>smartrecruiters-jobs-scraper</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.

  1. Add the n8n Apify node (installed by default on n8n Cloud; on self-hosted install @apify/n8n-nodes-apify).
  2. Set Actor to santamaria-automations/smartrecruiters-jobs-scraper.
  3. Choose operation Run Actor and get dataset, paste your input JSON, and connect a downstream node (Google Sheets, Postgres, webhook, ...).
  1. Create a new Zap with any trigger.
  2. Add a Webhooks by Zapier POST action to https://api.apify.com/v2/acts/santamaria-automations~smartrecruiters-jobs-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN.
  3. Body: your input JSON. Content-Type: application/json.
  1. Create a new scenario.
  2. Add an HTTP module: URL https://api.apify.com/v2/acts/santamaria-automations~smartrecruiters-jobs-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN, method POST, body raw JSON.
  3. Parse the response with a JSON module to iterate items downstream.
  1. Create a new workflow.
  2. Add an HTTP Request step: POST to https://api.apify.com/v2/acts/santamaria-automations~smartrecruiters-jobs-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN.
  3. Access steps.http.$return_value in subsequent steps.
  1. Install the API Connector plugin.
  2. Add a new API: POST https://api.apify.com/v2/acts/santamaria-automations~smartrecruiters-jobs-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN, body type JSON.
  3. Initialize the call with your input, then reference the response array in workflow actions.

FAQ

How much does the smartrecruiters-jobs-scraper cost?

Priced at $0.001 per job ($1.00 per 1,000). Filtered-out and duplicate jobs are not charged; a board that is not found costs nothing. Apify's $5/month free tier covers the first runs. No monthly subscription — you only pay for what you extract.

What fields does it return?

29 fields per result. Full field catalog is listed in the 'What you can scrape' table above — includes core identifiers, descriptive text, dates, and any category-specific data.

Is scraping this site legal?

Scraping publicly available data is generally permitted in most jurisdictions, but GDPR applies to any personal data you collect. Review your local rules and consult a lawyer for commercial use.

Do I need an API key from the source platform?

No. This actor reads public pages over HTTP. No API key, no OAuth, no rate-limit management on your side.

How fresh is the data?

Every run pulls live data at execution time. Set up a schedule (daily/hourly/weekly cron) in the Apify console to keep your dataset current automatically.

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