Welcome to the Jungle (WTTJ) Jobs Scraper

Scrape job listings from Welcome to the Jungle — one of Europe's largest tech & startup job boards — and get clean, structured JSON: job title, company (name, size, sectors, logo), salary range, locations, contract type, remote policy, full description and apply URL.

Built for EU tech recruiters, staffing firms, job aggregators and salary-benchmarking SaaS.

Use Cases

• Tech recruiting & talent sourcing — pull fresh roles by title, city, country and contract type into your ATS or CRM
• EU tech job data for aggregators & job boards — keep a job board or feed continuously updated
• Salary benchmarking — extract salaryMin/salaryMax by role, seniority and market to power compensation tools
• Hiring & market trends — track which companies, sectors and cities are hiring over time
• Lead generation for B2B — identify fast-growing EU startups by their open roles and sectors
• Remote job monitoring — filter for fully-remote and hybrid roles across Europe

How It Works

WTTJ is a Next.js app whose job list is not in the served HTML — the frontend fetches results client-side. This actor reuses that same public surface instead of rendering pages in a browser:

1. Search index (primary source) — the job list comes from the public search index the site itself queries. It returns clean JSON, needs no cookies and sits behind no anti-bot challenge, so no browser, no DOM scraping and no Cloudflare bypass are required.
2. Public job detail API (optional enrichment) — enabled with fetchDetails. One extra request per job returns the full description, key missions, what the company looks for, the recruitment process, skills, tools, the ATS and the real external apply URL.
3. Company index (bulk mode) — used to list companies with open jobs so the actor can page past the search index's 1,000-records-per-page cap.

The actor is a pure JSON/API scraper — 256 MB memory, no headless browser.

Extract Welcome To The Jungle Job Data Without An Official API

Welcome to the Jungle does not publish an official developer API for external job or company data (its API is for employers' own postings). Third-party "WTTJ APIs" are wrappers around this same public surface. This actor reads it directly and returns structured items you can schedule, filter and export — with filters for country, city, contract type, remote policy, sector and language.

What You Get Per Job

• Identity — jobId, reference, title, url, applyUrl, status, publishedAt, updatedAt, scrapedAt
• Company — company, companySlug, companySize, companySizeEmployees, companyLogo, companyDescription, sectors
• Location — locations (city, district, state, country, country code)
• Contract & work — contractType, contractTypeLabel, remotePolicy, remotePolicyLabel, experienceLevelMin, educationLevel
• Salary — salaryMin, salaryMax, salaryCurrency, salaryPeriod, salaryYearlyMin, hasSalary
• Detail (when fetchDetails: true) — description, profile, keyMissions, lookingFor, recruitmentProcess, companySummary, skills, tools, ats, startDate, summary, companyAssets

Input

Field	Type	Required	Default	Notes
searchQuery	string	No	—	Keyword(s), e.g. data engineer. Empty = all jobs
country	string	No	—	Office country ISO code, e.g. FR, GB, ES, DE, US
city	string	No	—	Office city, e.g. Paris, London, Berlin
contractType	string	No	—	FULL_TIME, PART_TIME, TEMPORARY, INTERNSHIP, FREELANCE, APPRENTICESHIP, VIE, GRADUATE_PROGRAM, VOLUNTEER, OTHER
remote	string	No	—	no, partial, fulltime, punctual, unknown
sector	string	No	—	Company sector (English), e.g. Tech, Banking / Insurance / Finance
language	string	No	—	Job posting language, e.g. fr, en
maxResults	integer	No	100	Max jobs to return (max 10000). Above 1000 switches to bulk mode
fetchDetails	boolean	No	false	Fetch full description / apply URL per job (one extra request per job). Billed separately
proxy	object	No	Apify proxy	Standard Apify proxy configuration

Example Input

{
    "searchQuery": "data engineer",
    "country": "FR",
    "contractType": "FULL_TIME",
    "maxResults": 200,
    "fetchDetails": true
}

Example Output

{
    "jobId": "4230652",
    "reference": "EKIM_xxxxx",
    "title": "Senior Data Engineer",
    "company": "Ekimetrics",
    "companySlug": "ekimetrics",
    "companySize": "Between 250 and 2,000 employees",
    "companySizeEmployees": 500,
    "companyLogo": "https://cdn-images.welcometothejungle.com/...",
    "sectors": [{ "name": "Big Data", "parent": "Tech" }],
    "locations": [{ "city": "New York", "state": "New York", "country": "United States", "countryCode": "US" }],
    "contractType": "FULL_TIME",
    "contractTypeLabel": "Full-Time",
    "remotePolicy": "partial",
    "remotePolicyLabel": "Partial remote (hybrid)",
    "experienceLevelMin": 2,
    "educationLevel": "BAC_2",
    "salaryMin": 125000,
    "salaryMax": 140000,
    "salaryCurrency": "USD",
    "salaryPeriod": "yearly",
    "salaryYearlyMin": 125000,
    "hasSalary": true,
    "publishedAt": "2026-10-14T02:00:00.000+02:00",
    "language": "en",
    "url": "https://www.welcometothejungle.com/en/companies/ekimetrics/jobs/senior-data-engineer_new-york",
    "applyUrl": "https://jobs.lever.co/ekimetrics/.../apply?lever-source[]=WTTJ",
    "ats": "external",
    "description": "<p>...</p>",
    "skills": [{ "name": { "en": "Data engineering" } }],
    "tools": [{ "name": "Python" }],
    "status": "published",
    "startDate": "2026-11-01T00:00:00.000Z"
}

Fields marked only when fetchDetails is enabled are null otherwise. profile (candidate requirements) always comes from the search index.

Pricing

Runs are billed per result. On top of that, the actor uses Apify's pay-per-event model so you only pay for the enrichment you switch on:

Event	When it fires	What you get
job-detail	Once per job, only when fetchDetails: true	Full description, key missions, looking-for, recruitment process, skills, tools, ATS, start date, company perks/key numbers and the real external apply URL

• fetchDetails: false (default) → no job-detail charges at all.
• The event fires once per detail request, whether or not the source returns the job, so you are never billed twice for the same job.
• Charging happens in batches of 20 as the run progresses and once on graceful shutdown, so an aborted run bills only the work already done.
• The run spending limit (ACTOR_MAX_TOTAL_CHARGE_USD) is enforced by the platform: when hit, the actor stops cleanly and stops billing.

Bulk Mode (More Than 1,000 Results)

The search index only returns the first 1,000 records per query. When maxResults > 1000, the actor partitions by company (organization.slug) — every job carries one — and pages through the companies that have open jobs. This is slower and uses many more requests, so it is opt-in via maxResults.

Cost & Limits

• Pure HTTP/JSON actor — runs comfortably at 256 MB.
• Default run: a single search request (up to 1,000 jobs) plus optional detail requests.
• Hard caps: maxResults ≤ 10000, search requests ≤ 6000, detail requests ≤ 10000, retries ≤ 3, request timeouts set.
• Free Apify users get a 10-job preview; paying users get the full requested volume.

Integrations And Automation

• Apify API — run from your app and read the dataset.
• Webhooks — notify your ATS, CRM or Slack when a run completes.
• Scheduled runs — set a daily schedule to catch new postings fast, or a weekly schedule for trend tracking.
• Zapier / Make / n8n — push new roles into Google Sheets, Airtable, Notion or your job board.
• Export — JSON, CSV, Excel from the dataset tab.

Related Actors

• LinkedIn Jobs Scraper — the largest global job source; pair with WTTJ for full EU coverage
• Indeed Scraper — high-volume general job board data
• Welcome to the Jungle Jobs Scraper — an alternative WTTJ actor for cross-checking coverage
• Glassdoor Scraper — salary and company-review data to enrich WTTJ results
• Google Jobs Scraper — aggregated listings across many boards

FAQ

Does Welcome to the Jungle have an official API?

Welcome to the Jungle does not publish an official developer API for external job or company data (its API is for employers managing their own postings). This actor reads the public search/company surface the site's own frontend uses, so you get the same jobs the website shows — no credentials or employer account needed.

Why use this actor instead of a generic job scraper?

It is WTTJ-specific: it maps WTTJ's contract types, remote policies, sectors and its multi-location and salary objects into clean fields, and it supports filters (country, city, contract type, remote, sector, language) that generic scrapers do not.

How do I get salary data?

Set fetchDetails: true and read salaryMin, salaryMax, salaryCurrency and salaryYearlyMin. Not every posting publishes a salary — check hasSalary.

How do I scrape more than 1,000 jobs?

Set maxResults above 1000 to switch on bulk mode, which partitions by company to page past the 1,000-per-query cap.

How do I get the real apply URL?

applyUrl is the external ATS link when the company uses one (Lever, Greenhouse, …); otherwise it falls back to the canonical WTTJ job page. Enable fetchDetails for the most complete value.

Can I filter by remote policy or contract type?

Yes — use the remote and contractType inputs, plus country, city and sector.

Can I export WTTJ job data to CSV or Excel?

Yes — JSON, CSV, Excel and more from the dataset tab or via the API.

Legal & Compliance Disclaimer

This actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Welcome to the Jungle. It accesses only publicly available job listings and company data through the site's own public surface; it does not bypass login and does not solve CAPTCHAs.

You are responsible for complying with Welcome to the Jungle's Terms of Service and all applicable laws (including GDPR where the data relates to individuals in the EU). Company and role data should be used in line with applicable data-protection rules.

For AI Agents & LLM Apps

Purpose: returns Welcome to the Jungle job listings (title, company, salary, locations, contract type, remote policy, apply URL) as structured JSON for recruiting, aggregation and salary benchmarking.

Minimal working input:

{
    "searchQuery": "data engineer",
    "country": "FR",
    "maxResults": 100
}

Variant — full detail with descriptions and apply URLs:

{
    "searchQuery": "product manager",
    "country": "GB",
    "contractType": "FULL_TIME",
    "fetchDetails": true,
    "maxResults": 200
}

Variant — bulk mode (more than 1,000 jobs):

{
    "searchQuery": "",
    "country": "FR",
    "maxResults": 5000
}

Output fields: jobId, reference, title, company, companySlug, companySize, companySizeEmployees, companyLogo, companyDescription, sectors, locations, contractType, contractTypeLabel, remotePolicy, remotePolicyLabel, experienceLevelMin, educationLevel, salaryMin, salaryMax, salaryCurrency, salaryPeriod, salaryYearlyMin, hasSalary, publishedAt, language, url, applyUrl, ats, description, profile, keyMissions, lookingFor, recruitmentProcess, companySummary, skills, tools, status, startDate, summary, companyAssets, updatedAt, scrapedAt.

Behaviors an agent should know:

• fetchDetails defaults to false; when false, description, applyUrl, keyMissions, skills, tools, ats, startDate and companyAssets are null/absent. The profile field always comes from the search index.
• fetchDetails: true fires one billable job-detail event per job, charged once even if the source returns no detail.
• Setting maxResults above 1000 switches the run into bulk mode (slower, more requests) that pages past the 1,000-record-per-query cap.
• maxResults is capped at 10000; free Apify accounts get a 10-job preview.
• Empty searchQuery returns all jobs (subject to other filters).
• Billing: standard run usage plus pay-per-event job-detail only when fetchDetails is enabled.

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