Welcome to the Jungle Scraper - EU Jobs & Salaries

Disclaimer: This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Welcome to the Jungle or any of its subsidiaries. All trademarks mentioned are the property of their respective owners. "Welcome to the Jungle" is referenced only to describe the publicly available website this Actor collects data from.

Scrape Welcome to the Jungle — Europe's largest startup and scale-up job platform, with ~90,000 live jobs — including published salary ranges, contract type, remote policy, seniority and full company context. No login, no cookies.

Strong across France, Spain, Belgium, Czechia, Slovakia and beyond.

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What you get

One row per job, every row carrying the same fields:

Field	What it is
title, jobUrl, jobId, slug	The role and its canonical link
organizationName, organizationUrl, organizationDescription	The hiring company
contractType, contractTypeName	FULL_TIME plus the localised label (e.g. "CDI")
salaryMin, salaryMax, salaryCurrency, salaryPeriod, salaryYearlyMin	Published pay
remote, isRemote	no / punctual / partial / fulltime
experienceLevelMin, educationLevel	Seniority requirements
city, district, state, country, countryCode	Office location
latitude, longitude	Geo coordinates
sectors, profession, department	Industry and role classification
publishedAt	ISO 8601 timestamp
profileText	The role description

Filters

queries · countryCodes · contractTypes · remoteOnly · onlyWithSalary · minYearlySalary · language

Leave Search terms empty to take everything matching your filters — that's the fastest way to bulk-collect.

---

Example input

{
  "queries": ["developer"],
  "countryCodes": ["FR", "ES"],
  "remoteOnly": true,
  "onlyWithSalary": true,
  "maxResults": 500,
  "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }
}

Example output

{
  "type": "job",
  "title": "Responsable Marketing (H/F)",
  "organizationName": "Additi",
  "organizationUrl": "https://www.welcometothejungle.com/fr/companies/additi",
  "contractType": "FULL_TIME",
  "contractTypeName": "Full-Time",
  "salaryCurrency": "EUR",
  "salaryMin": 40000,
  "salaryPeriod": "yearly",
  "experienceLevelMin": 5,
  "educationLevel": "BAC_5",
  "remote": "no",
  "city": "Rennes",
  "state": "Brittany",
  "country": "France",
  "sectors": ["IT / Digital", "Marketing / Communication"],
  "publishedAt": "2026-08-07T17:00:00.000Z"
}

---

Pricing

$0.003 per job. You are charged only for rows actually delivered. A search that matches nothing costs $0 and tells you why.

Honest limits

These are Welcome to the Jungle's own data gaps, measured on 100 raw records — not parser misses:

• Salary is published on ~33% of listings. Use onlyWithSalary: true to keep just those. Never defaulted to 0, because that would quietly corrupt a salary benchmark.
• experienceLevelMin ~53% · educationLevel ~40% · department ~14% · profession ~12% · company description ~60%.
• Localised fields (sectors, contract labels, company description) come in five languages; pick one with language and the actor falls back sensibly when your choice is missing.

Automate & schedule

Run this Actor on autopilot and pull results into your own stack:

• Apify API - start runs, fetch datasets and manage schedules over REST.
• apify-client for JavaScript and apify-client for Python - official SDKs.
• Schedules - run it hourly, daily or weekly and keep your dataset current.
• Webhooks - trigger downstream actions (CRM import, Slack alert, email sequence) the moment a run finishes.

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'MY_APIFY_TOKEN' });

const run = await client.actor('scrapesage/welcome-to-the-jungle-scraper').call({
    "queries": [
        "developer"
    ],
    "countryCodes": [
        "FR"
    ],
    "maxResults": 50,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Got ${items.length} records`);

Integrate with any app

Connect the dataset to thousands of apps - no code required:

• Make - multi-step automation scenarios.
• Zapier - push new records straight into your CRM or spreadsheet.
• Slack - get notified when a scheduled run finds something new.
• Google Drive / Sheets - auto-export every run to a spreadsheet.
• Airbyte - pipe results into your data warehouse.
• GitHub - trigger runs from commits or releases.

Use with AI assistants (MCP)

The output is clean, LLM-ready JSON. You can call this Actor from Claude, ChatGPT or any agent framework through the Apify MCP server - describe the data you need and let the assistant run this Actor for you.

Agent-ready: autonomous payments (x402 & Skyfire)

This actor is agent-ready — AI agents can discover it, run it, and pay for it autonomously, with no Apify account and no human in the loop. It uses pay-per-event pricing and limited permissions, so it qualifies for Apify's agentic-payment standards:

• x402 — an open, HTTP-native payment protocol. Agents pay per run in USDC on the Base network directly through the Apify MCP server — no account, no API key.
• Skyfire — agent-to-service payments for fully autonomous AI-agent workflows.

Building an AI agent, MCP tool, or autonomous data pipeline? This scraper is ready to plug in and pay as it goes.

FAQ

How is this Actor billed? Pay-per-event: you pay only for the results it delivers, with no monthly rental and no start fee. The per-event price is shown on the Pricing tab.

Can I schedule it and get results automatically? Yes - create a Schedule and add a webhook or an integration (Google Sheets, Slack, Make, Zapier) to push each run's dataset wherever you need it.

Which export formats are available? Every run's dataset can be downloaded as JSON, CSV, Excel (XLSX), XML, HTML or RSS from the Apify Console or the API.

Can I run it from code or an AI agent? Yes - through the Apify API and client libraries, or from Claude, ChatGPT and other assistants via the Apify MCP server.

Is it legal to scrape Welcome to the Jungle? This Actor collects publicly available data only. You are responsible for using the output in compliance with applicable laws (including data-protection law where personal data is involved) and the source's terms. See the Disclaimer below.

Is this an official Welcome to the Jungle tool? No. It is an independent, third-party Actor with no affiliation to, endorsement by or sponsorship from Welcome to the Jungle. See the Disclaimer below.

Tips

• Empty queries + a country filter is the highest-yield setup — one run pulled 1,000 jobs in 67 seconds.
• For comp benchmarking: onlyWithSalary: true and read salaryYearlyMin, which is normalised to a yearly figure regardless of how the employer quoted it.
• Every job carries its company, so this doubles as a hiring-intent lead list for European startups — filter to a country and dedupe on organizationSlug.

Related actors

• Wellfound Scraper — US/global startup jobs with salary and equity
• LinkedIn Jobs Scraper — filter-based, no login
• Bayt Scraper — the same job across the Middle East and North Africa

Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Welcome to the Jungle or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.

"Welcome to the Jungle" and any related marks are the property of their respective owners and are used here only in a descriptive, nominative sense - to identify the publicly accessible website from which this Actor collects data. This Actor is not an official Welcome to the Jungle product, is not authorised or certified by Welcome to the Jungle, and does not distribute Welcome to the Jungle software. It collects only publicly available information; you are responsible for ensuring your use of that data complies with applicable laws, regulations and the terms of the source website.

Need help?

Open an issue on the Actor's Issues tab, or visit the Apify help center. Feature requests are welcome - this Actor is actively maintained.