Welcome to the Jungle Scraper

Extract structured job listings from Welcome to the Jungle — Europe's leading tech and startup job board with 5M+ monthly visitors, 80,000+ active listings, and 10,000+ companies across France, the UK, the US, and 50+ countries. No API key, no account, and no browser required.

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Why this scraper?

🌍 5 Regional Sites

Scrape EN, FR, ES, CS (Czech), and SK (Slovak) markets in a single run. Each site surfaces different company profiles and job listings tailored to that market.

🔍 Full Keyword Search

Search across 80,000+ jobs by keyword, just like the WTTJ search bar. Results are powered by WTTJ's own Algolia search engine, so relevance is identical to what job seekers see on the site.

💰 Salary & Remote Data

92% of listings include salary ranges (min/max, currency, yearly/monthly period). Remote policy (no, punctual, partial, fulltime) is available on 100% of listings.

📋 Rich Job Content — No Extra Requests

Unlike most scrapers, every result includes structured job content extracted directly from WTTJ's search index — no secondary HTTP requests required:

• Key Missions — bullet-point list of duties/responsibilities
• Candidate Profile — skills and requirements in Markdown format
• Education Level — required qualification (e.g. Master's, Bachelor's, PhD)
• Benefits — full list of perks offered (100% fill rate)
• Company Labels — employer certifications (e.g. "Top Employer", "Happy Trainees")
• Company Size — employee headcount from the WTTJ company profile

📍 Full Geolocation

Every listing includes city, country, country code, latitude, and longitude — ready for distance-based queries.

💡 No Proxy Required

WTTJ's Algolia search index is publicly accessible from any IP. No residential proxies, no additional costs.

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Input Parameters

Parameter	Type	Default	Description
query	string	""	Keyword search. Leave empty to browse all listings.
websiteCountry	string	en	Market site: en, fr, es, cs, sk
location	string		City, region, or country name to filter by proximity
locationRadius	number	50	Search radius in km (used with location)
sortBy	string	relevance	Sort results: relevance or date
contractTypes	array		Filter by type: full_time, part_time, internship, freelance, apprenticeship, temporary, work_study
remoteTypes	array		Filter by remote policy: no, punctual, partial, fulltime
salaryMin	number		Minimum annual salary in EUR
daysOld	number		Limit to listings published within N days
maxResults	number	100	Maximum number of results to return
fetchDetails	boolean	true	Fetch full description and apply URL from each listing's page
skipReposts	boolean	false	Skip listings seen in previous runs (requires persistent dedup store)
startUrls	array		Direct WTTJ job listing URLs to scrape

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Output Schema

Each item in the dataset contains the following fields:

Identifiers

• id — unique WTTJ job reference (e.g. QOBRA_04Ve1px)
• url — canonical listing URL
• source — always welcometothejungle.com

Job Details

• title — job title
• contractType — contract type (e.g. full_time, internship)
• contractDurationMin / contractDurationMax — duration in months for temporary/freelance contracts
• remote — remote policy (no, punctual, partial, fulltime)
• experienceLevel — experience required (e.g. 3-5 years)
• educationLevel — qualification level (e.g. Master's (Bac+5))
• language — job language code

Company

• companyName / companyUrl — company name and WTTJ profile URL
• companyEmployeeCount — headcount
• companyLabels — employer certifications (e.g. ["top-employer-institute", "happy-trainees"])
• companyCreationYear — founding year

Salary

• salaryMin / salaryMax — salary range
• salaryCurrency — currency (default: EUR)
• salaryPeriod — yearly or monthly

Location

• locationCity / locationCountry / locationCountryCode
• locationLat / locationLng — GPS coordinates

Content (available without fetchDetails)

• keyMissions — array of duties/responsibilities
• candidateProfile — candidate requirements in Markdown
• candidateProfileText — plain-text version of candidate requirements
• descriptionHtml / descriptionText / descriptionMarkdown — job summary
• benefits — list of workplace perks

Content (requires fetchDetails: true)

• applyUrl — external application URL when available
• skills — required skills extracted from the listing

Taxonomy

• sectors — industry sectors (e.g. ["Software", "SaaS / Cloud Services"])
• occupations — occupation categories (e.g. ["Tech & Engineering"])

Dates & Deduplication

• publishDate — publication date (YYYY-MM-DD)
• publishDateISO — publication date in ISO 8601 format
• scrapedAt — timestamp of this scrape
• contentHash — MD5-based hash for change detection
• isRepost — whether this listing was seen in a previous run
• originalPublishDate / originalUrl — original publication details if repost

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Example: Software Engineering Jobs in Paris

Input:

{
  "query": "software engineer",
  "websiteCountry": "en",
  "location": "Paris",
  "locationRadius": 30,
  "remoteTypes": ["partial", "fulltime"],
  "salaryMin": 60000,
  "maxResults": 100,
  "fetchDetails": false
}

Sample output item:

{
  "id": "QOBRA_04Ve1px",
  "url": "https://www.welcometothejungle.com/en/companies/qobra/jobs/senior-fullstack-software-engineer_paris_QOBRA_04Ve1px",
  "title": "Senior Fullstack Software Engineer",
  "companyName": "Qobra",
  "contractType": "full_time",
  "remote": "punctual",
  "experienceLevel": "5-10 years",
  "educationLevel": "Master's (Bac+5)",
  "salaryMin": 60000,
  "salaryMax": 72000,
  "salaryCurrency": "EUR",
  "salaryPeriod": "yearly",
  "locationCity": "Paris",
  "locationCountry": "France",
  "locationCountryCode": "FR",
  "locationLat": 48.8679,
  "locationLng": 2.35008,
  "keyMissions": [
    "Build and iterate on high-impact features for users (dashboards, reports, insights).",
    "Collaborate closely with Product and Design teams."
  ],
  "candidateProfile": "### Technical Skills\n\n* 5+ years of experience\n* Strong expertise in backend development",
  "benefits": ["Flexible working hours", "Between 1-2 days at home", "Free food & snacks"],
  "companyEmployeeCount": 45,
  "companyLabels": ["happy-index-at-work", "tech-at-work"],
  "sectors": ["Software", "SaaS / Cloud Services"],
  "publishDate": "2026-04-24"
}

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Example: Daily Feed of New Tech Jobs (France)

{
  "websiteCountry": "fr",
  "daysOld": 1,
  "contractTypes": ["full_time"],
  "skipReposts": true,
  "maxResults": 1000,
  "fetchDetails": false
}

Run on a daily schedule to get only newly posted jobs, with deduplication across runs.

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Performance

Metric	Value
Total jobs indexed	80,000+
Typical run (100 results, no fetchDetails)	< 15 seconds
Typical run (100 results, fetchDetails)	2–4 minutes
Memory usage	512 MB
Proxy required	None
Rate limit handling	Automatic exponential backoff

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💰 Pricing

$0.99 per 1,000 results — you only pay for successfully retrieved listings. Failed retries and filtered reposts are never charged.

Results	Estimated Cost
1,000	~$0.99
10,000	~$9.90
100,000	~$99.00

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Built by unfenced-group. For issues or feature requests, use the Issues tab.