Welcome to the Jungle (WTTJ) Jobs & Salary Scraper — No Login avatar

Welcome to the Jungle (WTTJ) Jobs & Salary Scraper — No Login

Pricing

from $1.50 / 1,000 job results

Go to Apify Store
Welcome to the Jungle (WTTJ) Jobs & Salary Scraper — No Login

Welcome to the Jungle (WTTJ) Jobs & Salary Scraper — No Login

Scrape live Welcome to the Jungle (WTTJ) jobs across 17 EU countries — no login, no cookies. Each record has structured salary, a company profile (size, sector, founding year) and the apply URL. Filter by keyword, contract type (CDI/CDD/freelance), remote and experience. $2 per 1,000 jobs.

Pricing

from $1.50 / 1,000 job results

Rating

0.0

(0)

Developer

Nomad Dev

Nomad Dev

Maintained by Community

Actor stats

0

Bookmarked

1

Total users

1

Monthly active users

2 days ago

Last modified

Share

Welcome to the Jungle Jobs Scraper (WTTJ)

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

Claude / Codex skill to describe and setup this actor: SKILL.md

What Welcome to the Jungle data does this scraper extract?

Published postings follow nomad-agent-job-row-v1. The shared fields carry source identity, title and company, parsed locations, dates, the complete plain-text body when available, source markup when usable, and work type. Unavailable scalar facts are null; no parsed location is []. Source-only facts appear in versioned custom.data only when mapped there. See the Output example section for the exact dataset fields and diagnostic rows.

The complete posting text is in description; the source summary is in custom.data.descriptionText. When present, keyMissions, candidateProfile, benefits, and companyDescription are in custom.data too. These fields come from the same search index, with 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

FieldTypeDefaultNotes
querystring""Free-text search over job titles and descriptions (e.g. "software engineer", "product manager"). Leave…
countryCodesListarray[]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.
includeRemotebooleantrueWhen enabled, postings flagged as fully remote or hybrid are included regardless of country. Disable to…
contractTypearray[]Restrict to these contract types: full_time (≈ CDI), part_time, temporary (≈ CDD), internship, apprenticeship, freelance, vie, other. Empty = all.
experienceMaxintegerOnly 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.
indexLangstring"en"Language variant of the search index. Controls how taxonomy labels (sectors, professions) are rendered.…
maxItemsinteger50Maximum 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.
includeDetailsbooleantrueDeprecated compatibility input. The complete body and available detail fields are always returned; false is ignored.
skipRepostsbooleanfalseDrop repeat postings sharing the same stable job id within a run.
cacheTtlSecondsinteger1800Cache 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.

Output example

Every row follows nomad-agent-job-row-v1, the one shape shared by all of this fleet's job Actors. A row carries every field; null means the source did not publish that fact, and locations: [] means no usable location was parsed from the posting. Nothing is guessed.

{
"schemaVersion": "nomad-agent-job-row-v1",
"recordType": "posting",
"source": "wttj",
"id": "a1b2c3",
"url": "https://example.com/wttj/jobs/a1b2c3",
"title": "Senior Backend Engineer",
"company": "Example Company",
"locations": [
"Bilbao",
"Spain"
],
"postedAt": "2026-09-02T00:00:00Z",
"deadline": null,
"description": "The complete posting body as plain text, exactly as the source published it — never truncated.",
"descriptionHtml": "<p>The complete posting body as the source's own markup.</p>",
"workType": "remote",
"custom": {
"schemaId": "nomad-agent-job-custom-wttj-v1",
"data": {
"companySlug": "…",
"companyCreationYear": "…",
"companySectors": "…"
}
}
}
FieldMeaning
schemaVersionAlways "nomad-agent-job-row-v1".
recordType"posting" for a job, "diagnostic" for a row reporting something about the run itself.
sourceWhich job source the posting came from, from the collector registry's vocabulary — not the Actor name.
idStable identifier for the posting within source.
urlCanonical public URL of the posting on the source site.
titleJob title exactly as the source publishes it, untruncated.
companyEmployer name as published.
locationsPlaces the role is based, most specific first — e.g. ["Bilbao", "Spain"].
postedAtWhen the source published the posting, ISO-8601 UTC (YYYY-MM-DDTHH:MM:SSZ).
deadlineClosing date for applications as an ISO-8601 calendar date (YYYY-MM-DD).
descriptionThe complete posting body as plain text — never truncated, never summarised.
descriptionHtmlThe posting body as the source's own markup, preserving lists, headings and links.
workTypeWorking arrangement: "remote", "hybrid" or "onsite".
customFacts only this source publishes, as {"schemaId", "data"}.

A run also emits diagnostic rows — recordType: "diagnostic" with a warnings array — when it has something to report, such as a source returning nothing. They are never billed and are easy to filter out on recordType.

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

ActorPrice 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. This Actor defaults to 17 EU countries and carries the full posting text when available. The shared flat row includes title, company, location, dates and body; mapped source-specific facts such as company sector and founding year are under custom.data. It does not publish structured salary or a complete company profile.

Use cases

  • French/EU job boards and alert bots using scheduled full-snapshot comparisons
  • 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.


Found this useful? Leave a review on the Actor's page — it takes ten seconds and it is what helps other people find it.


From the maker of Oink — an open-source, AI-powered job-search bot for Telegram that runs on these Actors. Try the free bot, get a managed instance at oinkjobsearch.com, or browse the full catalog of 50+ Actors.