Welcome to the Jungle Scraper — WTJ Tech Jobs FR/EU + Salaries

Scrape Welcome to the Jungle jobs across France and Europe. Filter by keyword, country, contract (CDI/CDD/stage/alternance), city, remote policy, experience. Get title, company, salary, native tech stack, benefits, apply URL + detected ATS vendor, and the full company profile (equality index, ESG labels, sectors). Optional AI fit-scoring, SIREN company intelligence, and incremental diff mode. HTTP-only, 256 MB, $0.0005 per job ($0.50 per 1,000).

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What is the Welcome to the Jungle Scraper?

The Welcome to the Jungle Scraper is an Apify actor that pulls live job postings from Welcome to the Jungle (WTJ) — France's #1 tech-focused job board, expanding aggressively across Europe (DE, ES, IT, UK, BE, NL). WTJ specializes in startups and scaleups, so it's the go-to for tech, product, design, growth and data roles — particularly at the senior/lead level.

Unlike commodity WTJ scrapers that only re-export the search listing, the Welcome to the Jungle Scraper reads the same data WTJ's own front-end reads and returns everything: the native skills and tools tech-stack tags (not a fragile keyword regex), structured benefits, the recruitment process, the real apply URL with its ATS vendor detected (Greenhouse, Lever, Workday, Teamtailor…), and a complete company profile — equality index, gender pay gap, ESG certifications, creation year, headcount range, sectors and website. It's HTTP-only against the public WTJ API, so it's fast (~30 jobs/second), needs no login, no cookies and no proxy, and runs at ~99% margin — which is why it's also one of the cheapest tech-job scrapers on the Apify Store.

On top of the raw scrape, three opt-in upgrades turn it into a job-market intelligence engine no other WTJ actor offers: SIREN company enrichment (official French register — is the employer a healthy 200-person firm or a ceased shell?), AI fit-scoring (rank a firehose of offers against a candidate or a role you're sourcing), and incremental monitoring (pay only for the new/changed jobs on recurring runs).

Features

• Native tech stack — WTJ's own skills + tools arrays, with a keyword fallback only when a listing exposes none. A tech_stack_source field tells you which was used.
• ATS vendor detection — the real apply_url plus the recruitment software behind it (ats_vendor): Greenhouse, Lever, Workday, Teamtailor, SmartRecruiters, Ashby, Recruitee, and more. A hiring-tech-intent signal for lead-gen no other WTJ scraper surfaces.
• Full company profile — equality index, gender pay gap, ESG labels (e.g. ecovadis-gold), creation year, headcount range, sectors, website — fetched once per unique employer (cached).
• Structured content — full description, candidate profile, benefits, recruitment process, team, videos, salary (min/max/currency/period).
• Rich filters — keywords, country, contract type, city, remote policy, experience level, WTJ language (fr/en).
• SIREN company intelligence (opt-in) — resolve the employer to its official register record: legal name, size, NAF sector, PME/ETI/GE category, age, active-vs-ceased status.
• AI analysis (opt-in, premium) — summary, inferred seniority + remote, must-have skills, red flags, and a 0-100 fit score vs your candidate profile.
• Incremental diff mode — NEW / UPDATED / UNCHANGED / EXPIRED tagging; charge only the delta on scheduled runs.

Use cases

• Tech-talent recruitment intelligence — track who's hiring senior devs/data/product across French and EU scaleups, with the ATS they use.
• Salary benchmarking for tech — aggregate senior data engineer Paris salary ranges for compensation studies.
• Tech stack adoption research — count jobs mentioning Rust, Bun, Astro, dbt over time from WTJ's native tags.
• HR-tech / ATS lead generation — segment companies by the ATS vendor detected on their apply URLs.
• ATS feeder for tech recruiters — auto-import filtered WTJ offers daily via incremental mode.
• Career-services bots — daily WTJ alerts to candidates, ranked by AI fit score against their profile.
• Startup ecosystem mapping — hiring velocity + SIREN firmographics to track which French/EU startups are scaling.

Input

{
  "keywords": ["data engineer"],
  "country": "FR",
  "contractTypes": ["full_time"],
  "cities": ["Paris", "Lyon"],
  "remote": "full_remote",
  "experienceLevels": ["senior"],
  "language": "fr",
  "enrichDetails": true,
  "enrichCompany": true,
  "analyzeJobs": true,
  "candidateProfile": "Data engineer Python/dbt/BigQuery, 4 ans, cherche CDI remote",
  "incrementalMode": false,
  "maxResults": 50
}

Only maxResults really matters to start — everything else is optional. Aliases limit / max are accepted for maxResults.

Output

{
  "id": "WTTJ-abc123",
  "title": "Senior Data Engineer",
  "url": "https://www.welcometothejungle.com/fr/companies/example/jobs/senior-data-engineer",
  "apply_url": "https://example.talentview.io/jobs/xyz?source=wttj",
  "ats_vendor": "Talentview",
  "ats_kind": "external",
  "company": "Example Scaleup",
  "contract_type": "full_time",
  "city": "Paris",
  "country_code": "FR",
  "remote": "full_remote",
  "salary_min": 60000,
  "salary_max": 80000,
  "salary_currency": "EUR",
  "salary_period": "yearly",
  "experience_level": "senior",
  "tech_stack": ["Python", "Airflow", "BigQuery", "dbt"],
  "tech_stack_source": "wtj_native",
  "benefits": ["Between 1-2 days at home", "Meal vouchers"],
  "company_profile": {
    "creation_year": 2018,
    "workforce_range": "50-99",
    "equality_index": 91,
    "gender_pay_gap": 36,
    "labels": ["ecovadis-gold"],
    "sectors": [{"name": "SaaS", "parent": "Tech"}],
    "website": "https://example.com"
  },
  "company_data": {
    "siren": "812345678",
    "category": "PME",
    "employee_range": "50-99",
    "is_active": true,
    "risk_flag": null
  },
  "ai": {
    "summary": "Poste de data engineer senior full-remote sur une stack GCP/dbt.",
    "seniority": "senior",
    "remote": "remote",
    "must_have": ["Python", "dbt", "BigQuery"],
    "fit_score": 88,
    "recommended_action": "apply"
  },
  "published_at": "2026-06-29T09:00:00Z",
  "change_type": "NEW"
}

company_data appears only with enrichCompany; ai only with analyzeJobs; change_type only in incremental mode.

Pricing

PAY_PER_EVENT — pay only for what you use:

Event	Price	When
job-scraped	$0.0005 / job ($0.50 / 1K)	every job, full detail + company profile bundled
company-enriched	+$0.002 / employer	only with enrichCompany, per resolved SIREN
job-analyzed	+$0.01 / job	only with analyzeJobs (paid Apify plan)

The base price is one of the cheapest tech-job scrapers on the Apify Store — and now the richest at that price. Premium events are pure opt-in. In incremental mode, recurring runs charge only the NEW/UPDATED delta (typically 70-95% cheaper than a full re-scrape).

FAQ — Welcome to the Jungle API alternatives

Is there an official Welcome to the Jungle API? Closed except for ATS partners. This Welcome to the Jungle Scraper provides bulk, structured access without a partnership.

How accurate is the tech-stack extraction? We use WTJ's native skills and tools tags first; only when a listing exposes none do we fall back to parsing the description. The tech_stack_source field flags which path was used.

What is ATS vendor detection? Many WTJ apply buttons point to the employer's real recruitment software. The Welcome to the Jungle Scraper parses that URL and names the vendor (Greenhouse, Lever, Workday, Teamtailor…) — a firmographic/hiring-tech signal useful for HR-tech lead generation.

Can it run multi-country in one job? WTJ shards listings per country; run one country per task (or country: "ALL") and concat datasets afterwards.

Does it cover non-tech roles on WTJ? Yes — same scraper handles all WTJ verticals (sales, marketing, design, ops). The keyword filter is the only differentiator.

How do I only get new jobs each day? Enable incrementalMode and set a stable stateKey per saved search. The first run builds the baseline; later runs emit and charge only NEW/UPDATED jobs.

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License: MIT · Author: dltik