Welcome to the Jungle Jobs Scraper (WTTJ)

Scrape current openings from Welcome to the Jungle (welcometothejungle.com), France's leading tech job platform.

What Welcome to the Jungle data does this scraper extract?

Each result is one flat JSON record per job posting:

Field	Meaning
title	Job title as posted
company	Hiring company / organisation
companySlug	WTTJ organization slug (string, or null)
companyUrl	Public WTTJ company page URL (string, or null)
companyLogoUrl	Company logo image URL (string, or null)
companyEmployeeCount	Employee count WTTJ reports (number, or null)
companyCreationYear	Company founding year (number, or null)
companySectors	Sector/industry labels, e.g. ["Software","Health"] (array, or null)
location	Location / duty station (may include remote hints)
url	Direct link to the posting
postedAt	Posting date where the source provides it
contractType	Contract type: full_time (≈ CDI), part_time, temporary (≈ CDD), internship, apprenticeship, freelance, vie, other (string, or null)
experienceMin	Minimum years of experience required (number, or null)
educationLevel	Minimum education level in WTTJ coding, e.g. bac_5 (string, or null)
salary	Salary display text where the source provides it (raw string, e.g. "45,000-60,000 EUR year")
salaryMin	Structured minimum salary (number, or null)
salaryMax	Structured maximum salary (number, or null)
salaryCurrency	Salary currency, ISO 4217-style (string, or null)
salaryPeriod	Salary period as provided by the source, e.g. "year"/"month" (string, or null)
snippet	Short description excerpt
id	Stable source-side identifier
hasRemote	Whether the posting is flagged remote/hybrid (boolean)
remoteType	Remote kind where the source provides it, e.g. "full"/"partial" (string, or null)
profession	Profession/taxonomy label where the source provides it (string, or null)
source	Always "wttj"

With includeDetails enabled, each record additionally carries descriptionText (full posting text), keyMissions (array), candidateProfile, benefits (array) and companyDescription — all from the same search index, no extra requests.

How to scrape Welcome to the Jungle with this Actor

1. Click Try for free / Run — no login to the target site, no cookies, no proxies to configure.
2. Adjust the input (keyword, filters, maxItems) or keep the defaults.
3. Run it and export the dataset as JSON, CSV or Excel, or read it over the API.

Run it from your own code:

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("nomad-agent/wttj-scraper").call(run_input={"maxItems": 50})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["title"], "—", item["company"], item["url"])

Or a single HTTP call that runs the Actor and returns items in one response:

curl -X POST \
  "https://api.apify.com/v2/acts/nomad-agent~wttj-scraper/run-sync-get-dataset-items?token=<YOUR_APIFY_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"maxItems": 50}'

Input

Field	Type	Default	Notes
query	string	""	Free-text search over job titles and descriptions (e.g. "software engineer", "product manager"). Leave…
countryCodesList	array	[]	ISO 3166-1 alpha-2 country codes to filter postings by office location (e.g. ["ES", "FR", "DE"]). Leave empty for the default EU set. Combined with the legacy countryCodes string field (Advanced) when both are set.
includeRemote	boolean	true	When enabled, postings flagged as fully remote or hybrid are included regardless of country. Disable to…
contractType	array	[]	Restrict to these contract types: full_time (≈ CDI), part_time, temporary (≈ CDD), internship, apprenticeship, freelance, vie, other. Empty = all.
experienceMax	integer	–	Only postings requiring at most this many years of experience (e.g. 3 for junior roles). Empty = no filter. Postings with no experience data are excluded when set.
indexLang	string	"en"	Language variant of the search index. Controls how taxonomy labels (sectors, professions) are rendered.…
maxItems	integer	50	Maximum number of postings to return. Hard ceiling: ~1000 per run — Algolia (the search index behind Welcome to the Jungle) refuses to page past its 1000th hit for any query, no matter how high you set this.
includeDetails	boolean	false	Add full posting text, key missions, candidate profile, benefits and company description to each record (same index, no extra requests).
skipReposts	boolean	false	Drop repeat postings sharing the same stable job id within a run.
onlyNewSinceLastRun	boolean	false	Delta mode: emit only postings not seen in previous runs (seen IDs are remembered in the key-value store). Ideal for scheduled incremental runs and job alerts.
cacheTtlSeconds	integer	1800	Cache the upstream fetch in the key-value store for this many seconds; re-runs within the window skip the… (Advanced)
countryCodes (Advanced, legacy)	string	""	Legacy comma-separated form of countryCodesList (e.g. "ES,FR,DE"). Prefer countryCodesList — still functional and merged with it when both are set.
stateName (Advanced)	string	""	Optional namespace for the onlyNewSinceLastRun seen-ID memory. Empty = derived from the search parameters.

Output example

{
  "id": "585e3eda-99a1-4b28-ab48-f3a7820ac9b0",
  "title": "Product Designer",
  "company": "Alan",
  "companySlug": "alan",
  "companyUrl": "https://www.welcometothejungle.com/en/companies/alan",
  "companyLogoUrl": "https://cdn-images.welcometothejungle.com/.../logo.jpg",
  "companyEmployeeCount": 500,
  "companyCreationYear": 2016,
  "companySectors": ["Health", "Software"],
  "location": "Paris, France (Hybrid)",
  "url": "https://www.welcometothejungle.com/en/companies/alan/jobs/product-designer",
  "postedAt": "2026-06-29",
  "contractType": "full_time",
  "experienceMin": 3,
  "educationLevel": "bac_5",
  "snippet": "Alan is looking for a Product Designer...",
  "salary": "45,000-60,000 EUR year",
  "salaryMin": 45000,
  "salaryMax": 60000,
  "salaryCurrency": "EUR",
  "salaryPeriod": "year",
  "hasRemote": true,
  "remoteType": "partial",
  "profession": "Product Management",
  "source": "wttj"
}

A second example — an on-site internship in Barcelona (shows contractType/company fields for a non-Paris, non-remote posting):

{
  "id": "a71c0f2d-4b9e-4c11-9a3f-2e6d8b0c1f77",
  "title": "Data Analyst Intern",
  "company": "Glovo",
  "companyUrl": "https://www.welcometothejungle.com/en/companies/glovo",
  "companyEmployeeCount": 3000,
  "companySectors": ["Mobile Apps", "FoodTech"],
  "location": "Barcelona, Spain",
  "url": "https://www.welcometothejungle.com/en/companies/glovo/jobs/data-analyst-intern",
  "postedAt": "2026-07-02",
  "contractType": "internship",
  "experienceMin": 0,
  "salary": "",
  "hasRemote": false,
  "remoteType": null,
  "profession": "Tech & Engineering",
  "source": "wttj"
}

Integrations

Send results straight to Google Sheets, Slack, Make, Zapier or any webhook via Apify integrations — no code required, or pull the dataset over the API.

Pricing

Pay per event: $0.005 per Actor start + $2.00 per 1,000 jobs returned ($0.002/job), with volume discounts at higher subscription tiers. 100 jobs ≈ $0.21. No subscription, no rental, no monthly rent — you pay only for the jobs you actually fetch.

How that compares

Actor	Price per 1,000 jobs
logiover/welcome-to-the-jungle-jobs-scraper	$3.50–$5.00
easyapi/jungle-job-scraper	$4.99
clearpath/welcome-to-the-jungle-jobs-api	$3.00
This Actor	$2.00

Cheaper listings exist, but most cover a single market and return a bare job row. This Actor defaults to 17 EU countries, returns structured salary (salaryMin/salaryMax/salaryCurrency/salaryPeriod) and a company profile (size, sector, founding year, logo) on every record, and pulls the full posting text with includeDetails — all from one index, with no secondary requests and no login.

Use cases

• French/EU job boards and alert bots — schedule with onlyNewSinceLastRun for incremental "new postings only" runs
• Recruiting for the French tech market
• Employer-brand and hiring-trend research (company size, sector, founding year)
• Contract-type analysis (CDI/CDD/freelance) and experience-level filtering

FAQ

Is it legal to scrape Welcome to the Jungle? This Actor reads only publicly available job postings — data any visitor can see without logging in. No personal data behind authentication is touched. Review the target site's terms and your local regulations for your specific use case.

Do I need an account on the target site? No. Postings are fetched from public pages/APIs — no login, cookies or session tokens.

How fresh is the data? Every run fetches live listings. Results are cached for cacheTtlSeconds (default 30 min, set 0 to always hit the source live).

How many jobs can I get? maxItems caps the run (set 0 where supported for no cap). Most sources paginate from newest to oldest.

Something broken or missing? Open an issue on the Actor's Issues tab — it is monitored and reliability fixes ship fast.

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