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Welcome to the Jungle Jobs Scraper

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Welcome to the Jungle Jobs Scraper

Welcome to the Jungle Jobs Scraper

Scrape Welcome to the Jungle (WTTJ) jobs by keyword, location, salary, remote, or direct URLs. Extract titles, companies, salaries, skills & apply links — no login. Ideal for recruiting intel, salary research, and job aggregators. Export JSON/CSV.

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from $3.00 / 1,000 results

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What does Welcome to the Jungle Jobs Scraper do?

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

This Welcome to the Jungle scraper turns welcometothejungle.com into clean, structured WTTJ job listings you can export, schedule, and reuse. Search by keyword, location, salary, contract type, remote policy, industry, and more — or paste direct job links for a targeted bulk pull. No login, no cookies, no account. ✅

Use it as a WTTJ jobs scraper, European job board scraper, practical Welcome to the Jungle API / WTTJ API alternative, or full job data extractor for recruiting intelligence, salary benchmarking data, and job market research.

Open it in Apify Console, set your search (or paste URLs), hit Start — results stream into your dataset as they arrive.

✨ What can this WTTJ jobs scraper do?

  • 🔗 Two ways in — keyword + filters or bulk direct job URLs to scrape Welcome to the Jungle listings
  • 📝 Two detail levels — fast core fields, or full descriptions, benefits, skills, tools & apply links
  • 🧰 Deep filters — location + radius, contract, remote, salary floor, experience, company size, sector, category, language, posted-date window
  • 🌍 Multi-region sites — 🇺🇸 US · 🇫🇷 France · 🇪🇸 Spain · 🇨🇿 Czechia · 🇸🇰 Slovakia
  • 🏠 Remote & hybrid — filter fully remote, hybrid, or on-site for remote jobs scraper workflows
  • 📊 Four output views — Overview · Compensation · Company Profile · Full Listing
  • Live results — each job lands in Output the moment it’s ready
  • 🧩 Apify platform powers — scheduling, monitoring, API access, MCP, webhooks, and 1,000+ integrations

📦 What data can you extract from Welcome to the Jungle?

🗂️ Section📌 What you get
💼 Job coreTitle, URL, apply link, contract type, remote policy, publish dates
💰 CompensationSalary min/max, currency, period, yearly-normalized ranges when disclosed
🎓 RequirementsExperience years, education level, profession & category
📍 LocationOffices (city, country, address), department
📝 Full listingSummary, HTML description, profile, benefits, skills, tools, key missions
🏢 Company profileName, industry, size, website, socials, open-jobs count, founding year

As a tech jobs scraper Europe and job board aggregator input, it also works for internships, freelance, and graduate programs — filter by contract type or pull everything together.

🌟 Why scrape Welcome to the Jungle jobs?

Welcome to the Jungle is one of Europe’s richest public career sites. Teams still need structured employment data without building a private crawler. This job listings scraper is a practical job search API-style feed for:

  • 📋 Building niche boards or aggregators from Welcome to the Jungle jobs
  • 💰 Salary benchmarking data by role, seniority, or city
  • 📈 Tracking hiring demand for job market research and recruiting intelligence
  • 🔔 Fresh-post monitors (datePosted: "1") as a standing hiring data scraper
  • 🎯 Watching a sector or company’s open roles with a company careers scraper
  • 🧪 Feeding ATS / CRM / alert pipelines with clean extract job postings JSON

🚀 How to scrape Welcome to the Jungle (Apify Console)

  1. Open Welcome to the Jungle Jobs Scraper in Apify Console
  2. Enter a Search Query (or paste Direct Job URLs to skip search)
  3. Set region, location, contract / remote filters, and Max Items
  4. Leave Include Full Job Details on for descriptions & apply links — or turn off for a faster pass
  5. Click Start and watch the Output table fill in real time
  6. Export JSON / CSV / Excel — or pull via API / MCP

💡 Tip: for a France jobs scraper pass, set websiteCountry to fr and location to Paris (or use countryCode: "FR").

📥 Input

Simple JSON — no coding required:

{
"query": "product manager",
"websiteCountry": "en",
"location": "Paris",
"locationRadius": "50",
"contractTypes": ["FULL_TIME"],
"remote": ["fulltime", "partial"],
"includeDetails": true,
"maxItems": 100
}

Direct URL mode (overrides search):

{
"startUrls": [
{ "url": "https://www.welcometothejungle.com/en/companies/acme/jobs/backend-engineer_paris" }
]
}
FieldDescription
🔗 startUrlsDirect WTTJ job links — targeted job listings scraper mode
🔍 queryKeyword (title, skill, company) for this Welcome to the Jungle scraper
🎯 searchOnlyInJobTitleMatch query against titles only
🌍 websiteCountryen · fr · es · cs · sk
📍 location / locationRadiusCity/region + radius (miles)
🏳️ countryCodeISO office country (overrides location)
↕️ sortBy / 🗓️ datePostedRelevance or newest; freshness window
📄 contractTypes / 🏠 remoteEmployment type & remote policy
🏭 sector / 🗂️ categoriesIndustry & profession filters
🎓 Experience / 💰 salaryMin / 🏢 companySizeSeniority, salary floor, headcount band
📦 maxItemsCap jobs saved (0 = unlimited)
📝 includeDetailsFull listing enrichment for WTTJ job listings

See the Input tab for every field with helpful defaults.

📤 Output

Results stream live into the dataset (switch views in Output):

  • 📋 Overview — title, company, contract, remote, salary, publish date, link
  • 💰 Compensation & Experience — salary range, experience & education
  • 🏢 Company Profile — industry, size, website, socials, open jobs
  • 📝 Full Listing — description, benefits, skills, tools, apply URL

Job example:

{
"title": "Senior Backend Engineer",
"url": "https://www.welcometothejungle.com/en/companies/acme/jobs/senior-backend-engineer_paris",
"applyUrl": "https://acme.example.com/apply/12345",
"contractType": "full_time",
"contractTypeName": "Full-time (permanent)",
"remote": "partial",
"salaryMin": 55000,
"salaryMax": 70000,
"salaryCurrency": "EUR",
"salaryPeriod": "yearly",
"hasSalary": true,
"experienceMin": 3,
"professionName": "Backend Developer",
"professionCategoryName": "Tech & Engineering",
"publishedAt": "2026-09-01T09:00:00Z",
"offices": [
{ "city": "Paris", "country": "France", "countryCode": "FR" }
],
"benefits": ["Health insurance", "Remote-friendly", "Learning budget"],
"companyName": "Acme Corp",
"companyUrl": "https://www.welcometothejungle.com/en/companies/acme",
"companyIndustry": "Tech",
"companySize": 250,
"scrapedAt": "2026-09-08T12:00:00.000Z"
}

With includeDetails on, each row can carry 70+ fields — description HTML, skills, tools, ATS questions, and extended company data.

🤖 Use via API (Welcome to the Jungle API style)

Call the Actor like a lightweight Welcome to the Jungle API / job search API and get dataset items back:

curl -X POST "https://api.apify.com/v2/acts/<YOUR_USERNAME>~welcome-to-the-jungle-jobs-scraper/run-sync-get-dataset-items" \
-H "Authorization: Bearer $APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{"query": "data scientist", "location": "Berlin", "maxItems": 50}'
from apify_client import ApifyClient
client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("YOUR_USERNAME/welcome-to-the-jungle-jobs-scraper").call(run_input={
"query": "software engineer",
"location": "Paris",
"contractTypes": ["FULL_TIME"],
"maxItems": 100,
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(f"{item['title']} at {item['companyName']}")

Clean, LLM-ready JSON — use from Python, Node.js, Claude, ChatGPT, or agents via Apify MCP. Schedule runs, webhooks, and 1,000+ integrations (Sheets, Slack, n8n, warehouses).

🎯 Best use cases for this job data extractor

  • 📋 Niche job boards & aggregators fed by Welcome to the Jungle jobs
  • 💰 Salary benchmarking data across roles, cities, and seniority
  • 📈 Job market research on tech stacks, categories, and industries
  • 🔔 Daily fresh-post monitors as a standing hiring data scraper
  • 🎯 Recruiting intelligence on a company or sector’s open roles
  • 🏠 Remote jobs scraper / hybrid role discovery across EU markets
  • 🎓 Internship scraper WTTJ and graduate-program pipelines
  • 🔌 ATS / CRM feeds via structured extract job postings exports
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Need a custom pipeline (multi-board job sync, enrichment, CRM hooks, or private job board aggregator feeds)? Email hello.insights.data@gmail.com.

❓ FAQ

Is this a real Welcome to the Jungle API?

There is no official public commercial API for bulk extraction. This Actor is a purpose-built WTTJ jobs scraper that returns the same public listing data as structured JSON you can call like a WTTJ API alternative.

Do I need a Welcome to the Jungle account?

No. This job listings scraper reads publicly available pages and search results only.

What’s the difference between fast mode and full-detail mode?

Fast mode (includeDetails: false) returns core search fields. Full-detail mode (default) adds description, apply link, skills, tools, benefits, and richer company data — ideal when you need complete WTTJ job listings.

Yes — put them in startUrls. Search is skipped and full detail is applied automatically.

Can I combine multiple filter values?

Yes — contractTypes, remote, sector, categories, and language accept arrays. Values inside one filter are OR’d; different filters are AND’d.

Can I get results in Python or JavaScript?

Yes. Use the Apify API / SDKs to pull employment data into Python, Node.js, or any HTTP client — the same pattern as calling a lightweight Welcome to the Jungle API.

Is scraping Welcome to the Jungle allowed for research?

The Actor collects only publicly available job pages. Use the data responsibly and in line with Welcome to the Jungle’s terms and applicable laws (including GDPR where relevant). For compliance questions on a custom deployment, contact hello.insights.data@gmail.com.

🛟 Support & custom solutions

Bugs or feature ideas? Open an issue on this Actor’s Issues tab in Apify Console, or visit the Apify help center.

For custom scrapers, multi-board recruiting intelligence stacks, scheduled monitors, or enterprise exports of Welcome to the Jungle jobs, email hello.insights.data@gmail.com — we build tailored solutions on top of this Actor.


Data is collected only from Welcome to the Jungle’s publicly available job and company pages. Intended for legitimate recruiting research, salary benchmarking, job market analysis, and job-board aggregation.