Welcome to the Jungle Scraper

by SilentFlow

Extract structured job postings and company profiles from Welcome to the Jungle, the #1 European job board. Get salary ranges, contract types, remote options, tech stacks, benefits, company details, and more.

✨ Why use this scraper?

• 🚀 Fast & reliable: Direct API access, no browser, no rendering, near-instant results
• 🌍 Multi-market: Supports FR, EN, DE, ES, NL, PT, IT markets in one actor
• 💰 Rich salary data: Extract minimum, maximum, and yearly salary with currency
• 🏢 Company profiles included: Every job includes embedded company data (size, sector, logo, creation year, employee count)
• 🔎 Powerful filtering: Filter by contract type, remote work type, date posted, location, and keywords simultaneously
• 📊 50+ structured fields per job: The most comprehensive WTTJ dataset available

🎯 Use cases

Industry	Application
Recruiting & HR	Monitor competitor job postings, track hiring velocity, benchmark salaries
Sales & Marketing	Intent-based outreach, target companies showing hiring growth
Market Research	Analyze hiring trends by sector, location, or contract type
Compensation Analysis	Benchmark salary ranges across roles and industries
Tech Stack Intelligence	Discover what technologies companies use from job listings
Lead Generation	Build lists of companies actively recruiting in specific domains

📥 Input parameters

URL Scraping

Parameter	Type	Description
startUrls	array	Direct URLs from welcometothejungle.com (job search pages, company pages, individual job pages)

Search

Parameter	Type	Description
searches	array	Keywords to search (e.g. ["software engineer", "product manager"])
location	string	Filter by city or country (e.g. "Paris", "France")
language	string	Market: fr (default), en, de, es, nl, pt, it

Sorting & Filtering

Parameter	Type	Description
scrapeMode	string	jobs (default), companies, or both
contractTypes	array	Filter: full_time, part_time, internship, apprenticeship, freelance, vie, temporary
remoteTypes	array	Filter by remote: fulltime, partial, punctual, no (combine multiple with OR logic)
publishedSince	string	Filter by date: today, 3days, week, month (empty = any time)

Limits

Parameter	Type	Description
maxItems	integer	Maximum results to return (default: 100, 0 = no limit)

Advanced

Parameter	Type	Description
proxy	object	Proxy configuration (Apify proxy or custom)

📊 Output data

Job example

{
  "id": "76eb76d2-2e52-4f84-b9c3-9b21b56de911",
  "reference": "76eb76d2-2e52-4f84-b9c3-9b21b56de911",
  "wkReference": "SPLIO_WLAV5KN",
  "url": "https://www.welcometothejungle.com/fr/companies/splio/jobs/software-engineer-fullstack-js",
  "language": "fr",
  "title": "Software Engineer - Fullstack JS",
  "description": "Join Splio as a Software Engineer. Work on a modern SaaS platform used by 500+ brands.\n\nBuild new product features\nDesign scalable microservices\nParticipate in code reviews",
  "summary": "Join Splio as a Software Engineer. Work on a modern SaaS platform used by 500+ brands.",
  "keyMissions": ["Build new product features", "Design scalable microservices", "Participate in code reviews"],
  "benefits": ["Remote work 3-4 days/week", "Meal allowance", "Health insurance", "Training budget"],
  "contractType": "Full-time",
  "contractDurationMin": null,
  "contractDurationMax": null,
  "remote": "partial",
  "hasRemote": true,
  "experienceLevelMin": 3,
  "educationLevel": "bac_5",
  "salaryMin": 45000,
  "salaryMax": 65000,
  "salaryYearlyMin": 45000,
  "salaryCurrency": "EUR",
  "salaryPeriod": "yearly",
  "location": "Paris, France",
  "city": "Paris",
  "country": "France",
  "latitude": 48.8566,
  "longitude": 2.3522,
  "professionCategory": "Technology & Engineering",
  "professionSubCategory": "Software & Web Development",
  "professionName": "Full Stack Developer",
  "companyName": "Splio",
  "companySlug": "splio",
  "companyReference": "N7GWlOV",
  "companyDescription": "AI-first CRM for personalized customer marketing at scale.",
  "companySummary": "SaaS platform used by 500+ brands worldwide.",
  "companyLogo": "https://cdn-images.welcometothejungle.com/...",
  "companySize": "50-249 employees",
  "companyNbEmployees": 180,
  "companyCreatedYear": 2001,
  "companyProfileType": "standard",
  "companyLabels": ["tech", "b-corp"],
  "companyEqualityIndex": 85,
  "publishedAt": "2026-02-26T08:34:53Z",
  "publishedAtDate": "2026-02-26",
  "publishedAtTimestamp": 1772094893,
  "isBoosted": false,
  "orgScore": 85,
  "dataType": "job",
  "scrapedAt": "2026-02-27T20:07:29Z"
}

Company example

{
  "id": "wk_cms_organizations_abc123",
  "reference": "N7GWlOV",
  "slug": "stripe",
  "url": "https://www.welcometothejungle.com/fr/companies/stripe",
  "name": "Stripe",
  "description": "Stripe is a technology company that builds economic infrastructure for the internet.",
  "summary": "The new standard in online payments.",
  "profileType": "premium",
  "size": "5000+ employees",
  "nbEmployees": 8000,
  "createdYear": 2010,
  "jobsCount": 42,
  "sectors": ["Fintech", "Software"],
  "tools": ["Python", "Ruby", "Go", "React"],
  "offices": [
    {
      "city": "Paris",
      "country": "France",
      "countryCode": "FR",
      "address": "10 Rue de la Paix",
      "latitude": 48.8566,
      "longitude": 2.3522
    }
  ],
  "logo": "https://cdn-images.welcometothejungle.com/...",
  "website": "stripe.com",
  "acceptsSpontaneous": true,
  "hasTechPage": true,
  "dataType": "company",
  "scrapedAt": "2026-02-27T20:07:29Z"
}

🗂️ Data fields

Category	Fields
Identity	id, reference, wkReference, url, language
Job Content	title, description, summary, keyMissions, profile, benefits
Contract	contractType, contractDurationMin, contractDurationMax, remote, hasRemote, experienceLevelMin, educationLevel
Salary	salaryMin, salaryMax, salaryYearlyMin, salaryCurrency, salaryPeriod
Location	location, city, country, latitude, longitude
Classification	professionCategory, professionSubCategory, professionName
Company (embedded)	companyName, companySlug, companyReference, companyDescription, companySummary, companyLogo, companySize, companyNbEmployees, companyCreatedYear, companyProfileType, companyLabels, companyEqualityIndex
Dates	publishedAt, publishedAtDate, publishedAtTimestamp, scrapedAt
Meta	isBoosted, orgScore, dataType

🚀 Examples

All software engineering jobs in France

{
  "searches": ["software engineer"],
  "location": "France",
  "language": "fr",
  "scrapeMode": "jobs",
  "maxItems": 200
}

Remote jobs published this week

{
  "searches": ["product manager", "data scientist"],
  "remoteTypes": ["fulltime", "partial"],
  "publishedSince": "week",
  "language": "en",
  "maxItems": 100
}

Internships and apprenticeships

{
  "searches": [""],
  "contractTypes": ["internship", "apprenticeship"],
  "location": "Paris",
  "maxItems": 50
}

Company profiles in fintech

{
  "searches": ["fintech", "payments"],
  "scrapeMode": "companies",
  "maxItems": 100
}

Scrape from a WTTJ search URL

{
  "startUrls": [
    {"url": "https://www.welcometothejungle.com/fr/jobs?query=devops&refinementList%5Bcontract_type%5D%5B%5D=full_time"}
  ],
  "maxItems": 50
}

Scrape all jobs from a specific company

{
  "startUrls": [
    {"url": "https://www.welcometothejungle.com/fr/companies/stripe"}
  ],
  "maxItems": 100
}

💻 Integrations

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")

run_input = {
    "searches": ["software engineer"],
    "location": "Paris",
    "language": "fr",
    "scrapeMode": "jobs",
    "maxItems": 100,
}

run = client.actor("silentflow/welcome-to-the-jungle-scraper").call(run_input=run_input)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["title"], item["companyName"], item.get("salaryMin"))

JavaScript

import { ApifyClient } from 'apify-client';

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

const run = await client.actor('silentflow/welcome-to-the-jungle-scraper').call({
  searches: ['software engineer'],
  location: 'Paris',
  language: 'fr',
  scrapeMode: 'jobs',
  maxItems: 100,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach(item => console.log(item.title, item.companyName, item.salaryMin));

📈 Performance & limits

Metric	Value
Speed	~30 jobs/second
Results per page	30 items
Max results	Unlimited (Welcome to the Jungle has ~100,000+ active jobs)
Markets supported	7 (FR, EN, DE, ES, NL, PT, IT)
Fields per job	50+
Fields per company	22

💡 Tips for best results

1. Use empty search for bulk scraping: Set searches: [""] to get all jobs without keyword filtering
2. Combine filters: Use contractTypes + remoteTypes + publishedSince + location together for precise targeting
3. Multi-market: Run separate searches per language to cover all European markets
4. Intent-based marketing: Use scrapeMode: "both" to get companies alongside their active job postings
5. Scrape a specific company: Paste the company's WTTJ URL directly into startUrls
6. Unlimited scraping: Set maxItems: 0 for unlimited scraping of large datasets

❓ FAQ

Q: Does it require a login or API key? A: No login required. The scraper uses Welcome to the Jungle's public search infrastructure.

Q: Which languages/markets are supported? A: French (fr), English (en), German (de), Spanish (es), Dutch (nl), Portuguese (pt), and Italian (it).

Q: Can I scrape specific companies' job listings? A: Yes, paste the company's WTTJ page URL in startUrls (e.g. https://www.welcometothejungle.com/fr/companies/stripe).

Q: Are salaries always available? A: Salary data is only extracted when the company has disclosed it on the posting. Typically 30–60% of jobs include salary information.

Q: What's the difference between this and the other WTTJ scrapers? A: This actor supports 7 markets, 50+ fields per job, full company profiles, remote work filtering, date filters, and is significantly faster and more complete.

📬 Support

Need help? We're here for you:

• Feature requests: Let us know what you need
• Custom solutions: Contact us for enterprise integrations or high-volume needs

Check out our other scrapers: SilentFlow on Apify