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
location	Location / duty station (may include remote hints)
url	Direct link to the posting
postedAt	Posting date where the source provides it
salary	Salary text where the source provides it
snippet	Short description excerpt
id	Stable source-side identifier

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-jobs/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-jobs~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…
countryCodes	string	""	Comma-separated ISO 3166-1 alpha-2 country codes to filter postings by office location (e.g. "ES,FR,DE").…
includeRemote	boolean	true	When enabled, postings flagged as fully remote or hybrid are included regardless of country. Disable to…
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. The scraper fetches up to 2× this value from the index and stops…
cacheTtlSeconds	integer	1800	Cache the upstream fetch in the key-value store for this many seconds; re-runs within the window skip the…

Output example

{
  "id": "wttj-88213",
  "title": "Product Designer",
  "company": "Alan",
  "location": "Paris, France (Hybrid)",
  "url": "https://www.welcometothejungle.com/en/companies/alan/jobs/product-designer",
  "postedAt": "2026-06-29",
  "snippet": "Alan is looking for a Product Designer..."
}

Pricing

Pay per event: $0.05 per Actor start and $0.004 per job returned. 100 jobs ≈ $0.45. No subscription, no rental — you pay only for what you fetch.

Use cases

• French/EU job boards and alert bots
• Recruiting for the French tech market
• Employer-brand and hiring-trend research
• Contract-type analysis (CDI/CDD/freelance)

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.

Related Actors

• Web Developer Jobs Scraper — 10 Boards in One
• AI & ML Engineer Jobs Scraper — 8 Boards in One
• LinkedIn Jobs Scraper — No Login, No Cookies