Welcome to the Jungle Jobs | $2.49 / 1k |

Get every opening on Welcome to the Jungle as a clean spreadsheet row: job title, company, office city with geo coordinates, contract type, remote policy, salary range, required experience and publication date. Built for recruiters sourcing in France, talent teams benchmarking pay, job aggregators syndicating listings and analysts tracking the European tech hiring market.

Scrape Welcome to the Jungle jobs by keyword, city, country, contract type or remote status — or paste one company page and pull every vacancy that company currently advertises. This is an HTTP-only scraper: no browser, no login, no proxy setup. One request returns up to 100 European job listings with salary and location data, so a 500-offer pull finishes in seconds and exports to CSV, JSON, Excel or XML.

Fast by design: a measured local run collected 500 offers in 7 seconds using 5 requests. The default 20-offer preview run takes about 7 seconds.

What does this Welcome to the Jungle jobs scraper do?

It searches the public Welcome to the Jungle job index and saves one row per job offer.

You can point it at:

• a search URL — https://www.welcometothejungle.com/en/jobs?query=data%20analyst (any language prefix works: /en/, /fr/, /es/)
• a company page — https://www.welcometothejungle.com/en/companies/alan returns every offer that company currently advertises
• or no URL at all — just type a keyword, a location, a contract type and a remote toggle

Filters written into a search URL (keyword, city, country, contract type, remote) are read and applied. The filter fields fill in anything a URL does not already specify.

Every row carries a status field so you always know what happened:

status	Meaning	Billed
ok	A job offer was extracted.	Yes
not_found	The search ran fine but matched no offers.	No
error	The source could not be read; error explains why.	No

You are never charged for a not_found or error row.

Use cases for Welcome to the Jungle job data

• Recruiters sourcing in France. Pull every open data, product or engineering role in Paris, Lyon or Nantes with its contract type and remote policy, then work the list company by company instead of clicking through a job board all afternoon.
• Salary benchmarking. Collect a few thousand offers for one profession and read salaryMin, salaryMax, salaryCurrency and salaryPeriod to see what employers actually advertise for a role, by city and seniority, before you write an offer or ask for a raise.
• Startup job tracking. Watch a shortlist of company pages on a schedule; a jump in openings is a hiring-intent signal a sales or investment team can act on weeks before a funding announcement makes the news.
• Job boards and aggregators. Syndicate French and European job listings into your own site with a stable schema — jobId, title, companyName, city, countryCode, contractType, publishedAt and a canonical jobUrl to link back to.
• Labour-market research. Analysts and journalists track remote-work adoption, contract-type mix and hiring seasonality across the French tech market using remote, contractType and publishedAt over repeated runs.
• Candidate-side job search automation. Run a daily search for your criteria and push new offers to Slack or a Google Sheet, so you see roles the morning they are published rather than the week after.

What data you get from every job listing

One row per offer. Fields the employer did not publish are simply absent — never guessed.

Identity and links

Field	Type	Description
jobId	string	Stable identifier of the offer in the source index.
reference	string	Employer's own reference for the offer.
slug	string	URL slug of the offer.
title	string	Job title as published.
jobUrl	string	Public job page URL. Same value as url.
url	string	Public job page URL (the base column every factory Actor carries).

Company

Field	Type	Description
companyName	string	Hiring company name.
companySlug	string	Company slug used in the company page URL.
companyUrl	string	Public company profile URL.
companyLogo	string	Company logo image URL.
companySize	number	Headcount reported on the company profile.
sectors	array	Business sectors of the company, e.g. ["Software","Cyber Security"].

Location

Field	Type	Description
city	string	Office city.
district	string	Office district or department.
state	string	Office region or state.
country	string	Office country name.
countryCode	string	ISO-3166 alpha-2 country code, e.g. FR.
latitude	number	Office latitude (WGS84).
longitude	number	Office longitude (WGS84).
offices	array	All locations as "City, Country" strings, present only when the offer lists more than one.

Contract, experience and salary

Field	Type	Description
contractType	string	FULL_TIME, PART_TIME, TEMPORARY, INTERNSHIP, APPRENTICESHIP, FREELANCE, VIE or OTHER.
contractTypeName	string	Human-readable label in English, e.g. Full-Time.
contractDurationMin	number	Minimum contract duration in months, for time-boxed offers.
contractDurationMax	number	Maximum contract duration in months.
remote	string	Remote policy: fulltime, partial, punctual, no or unknown.
experienceLevelMin	number	Minimum years of experience requested.
educationLevel	string	Education level code, e.g. BAC_5.
salaryMin	number	Lower bound of the advertised salary range.
salaryMax	number	Upper bound of the advertised salary range.
salaryCurrency	string	ISO currency code, e.g. EUR.
salaryPeriod	string	Period the salary refers to, e.g. yearly or monthly.
salaryYearlyMin	number	Yearly-normalised lower bound computed by the source.

Context and bookkeeping

Field	Type	Description
publishedAt	string	Publication timestamp of the offer (ISO 8601).
language	string	Language the offer is written in (ISO 639-1).
department	string	Internal department named by the employer.
profession	string	Profession label, e.g. Data Analysis.
professionCategory	string	Profession category, e.g. Tech.
profile	string	Candidate-requirements text, converted from the source HTML to plain text.
promoted	boolean	True when the employer paid to promote the offer.
searchQuery	string	The keyword this row was found with.
status	string	ok, not_found or error.
error	string	Reason, on not_found and error rows only.
scrapedAt	string	ISO 8601 timestamp of extraction.

The dataset ships two views: 💼 Job offers (the columns most runs need) and 📋 All fields.

How to scrape Welcome to the Jungle jobs

1. Choose what to search 🔍 — paste one or more Welcome to the Jungle search or company URLs into Search URLs or company slugs, or leave that list empty and type a Keyword instead.

2. Narrow it down 🎯 — optionally set Location (city, country name or two-letter code), Contract type and Remote-friendly only.

3. Set the run size ⚙️ — Maximum results caps how many offers you pay for. Start at 20 for a preview.

4. Run it ▶️ — rows appear in the dataset in real time. Export to CSV, Excel, JSON or XML, or read them from the API.

Input

Field	Type	Default	When to change it
startUrls	array of strings	one example search URL: https://www.welcometothejungle.com/en/jobs?query=data%20analyst	Replace it with your own search URLs, or with company page URLs to pull one employer's whole job list. Leave it empty if you would rather describe the search with the fields below.
query	string	empty	Set a free-text keyword such as data analyst or python when you are not pasting URLs. Leave empty to get everything matching the other filters.
location	string	empty	Set a city, country name or two-letter code (Paris, France, FR) to restrict results to one market. Leave empty to search everywhere the index covers.
contractType	select	any	Pick one of FULL_TIME, PART_TIME, TEMPORARY, INTERNSHIP, APPRENTICESHIP, FREELANCE, VIE, OTHER when you only want one kind of contract, e.g. internships for a campus-hiring list.
remoteOnly	boolean	false	Turn it on to keep only offers advertising full or partial remote work.
maxItems	integer	20	Raise it for production runs; each ok row is one billable result, so this is also your spending cap.
maxResults	integer (hidden)	unset	API and agent alias of maxItems. Only useful if your client already sends this name; ignored when maxItems is set.
proxyConfiguration	object	off	Leave off. Enable Apify Proxy only if you ever see repeated request failures; residential proxies are not needed.

Example input

{
    "startUrls": ["https://www.welcometothejungle.com/en/jobs?query=data%20analyst"],
    "maxItems": 20,
    "remoteOnly": false,
    "proxyConfiguration": { "useApifyProxy": false }
}

Keyword-only, with filters:

{
    "query": "product manager",
    "location": "Paris",
    "contractType": "FULL_TIME",
    "remoteOnly": true,
    "maxItems": 100
}

Output

One JSON object per offer. This is a real row from a run of the default input, unedited:

{
    "url": "https://www.welcometothejungle.com/en/companies/natixis/jobs/stage-6-mois-data-analyst-f-h_charenton-le-pont_NATIX_5l5qazL",
    "status": "ok",
    "scrapedAt": "2026-09-08T11:43:02.072Z",
    "jobId": "4265372",
    "reference": "NATIX_5l5qazL",
    "slug": "stage-6-mois-data-analyst-f-h_charenton-le-pont_NATIX_5l5qazL",
    "title": "Stage - 6 mois - Data Analyst - F/H",
    "jobUrl": "https://www.welcometothejungle.com/en/companies/natixis/jobs/stage-6-mois-data-analyst-f-h_charenton-le-pont_NATIX_5l5qazL",
    "companyName": "Natixis",
    "companySlug": "natixis",
    "companyUrl": "https://www.welcometothejungle.com/en/companies/natixis",
    "companyLogo": "https://cdn-images.welcometothejungle.com/9RcfPrSxYl22FytP8WgrtlX9Ae34A4q5sHd5f4v9wjU/w:200/q:85/czM6Ly93dHRqLXBy/b2R1Y3Rpb24vdXBs/b2Fkcy9vcmdhbml6/YXRpb24vbG9nby8y/NDE3LzE1MjI5My9i/ODk5ZmE2ZC1mNTRi/LTQyYjktYWI2Mi1k/ZDA4ZTFlZDRmMGEu/anBn",
    "companySize": 13600,
    "city": "Charenton-Le-Pont",
    "district": "Val-de-Marne",
    "state": "Ile-de-France",
    "country": "France",
    "countryCode": "FR",
    "latitude": 48.82283,
    "longitude": 2.40332,
    "contractType": "INTERNSHIP",
    "contractTypeName": "Internship",
    "contractDurationMin": 6,
    "contractDurationMax": 6,
    "remote": "no",
    "experienceLevelMin": 0,
    "educationLevel": "BAC_3",
    "salaryCurrency": "EUR",
    "salaryPeriod": "yearly",
    "publishedAt": "2026-09-08T10:00:00.000+02:00",
    "language": "fr",
    "sectors": ["Banking", "Change Management", "Insurance"],
    "profile": "Étudiant de niveau BAC+3/4/5, vous préparez un diplôme (universitaire, d'école de commerce ou d'école d'ingénieur), avec une spécialisation en Finance. …",
    "promoted": false,
    "searchQuery": "data analyst"
}

A row that found nothing looks like this and costs nothing:

{
    "url": "https://www.welcometothejungle.com/en/jobs?query=zzzqxwv-no-such-job-title-anywhere-42",
    "status": "not_found",
    "error": "No job offers match \"zzzqxwv-no-such-job-title-anywhere-42\"",
    "scrapedAt": "2026-09-08T11:47:12.153Z"
}

How much does it cost?

Pay per event. No subscription.

Event	Price	Charged when
Actor start	$0.005	Once per run (Apify charges one event per GB of memory, minimum one; the default 1 GB means one event).
Job offer	$0.00249	One offer with status: ok saved to the dataset.

Rows with status: not_found or error are never charged. That works out at $2.49 per 1,000 offers plus half a cent per run.

Run	Cost
Default preview (20 offers)	$0.055
100 offers	$0.254
1,000 offers	$2.50

The Actor stops gracefully when your run's maximum charge is reached, so a spending limit is never exceeded.

How it compares

This Actor is built for depth on one job board rather than breadth across many. Because it reads the site's public search index instead of rendering pages, it is fast and cheap and it returns structured attributes a page scraper would have to infer: salary bounds with currency and period, contract duration in months, education level, office geo coordinates and a machine-readable remote policy. It is a good fit if your market is France, the French-speaking countries or European tech hiring in general.

It is not the right tool if you need a multi-board aggregate feed, if your hiring market is North America or Asia (coverage there is thin), if you need the full job description rather than the candidate-requirements text, or if you are looking for recruiter contact details — it returns none, by design.

Integrations, API and AI agents

Results export to CSV, JSON, Excel and XML from the Apify console, or flow straight into Google Sheets, Airtable, Slack or your CRM through Apify integrations and webhooks — including Make, Zapier and n8n. Schedule the Actor to run every morning and only new rows are pushed downstream.

It can be called from the Apify API, from any Apify client library, from the Apify MCP server, or by any AI agent that can call an HTTP endpoint. Every row carries a status column, so an agent can tell "nothing matched" apart from "the request failed" without parsing prose.

$curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?clean=true&format=csv"

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const { defaultDatasetId } = await client.actor('welcome-to-the-jungle-jobs').call({
    query: 'data analyst',
    location: 'Paris',
    maxItems: 100,
});
const { items } = await client.dataset(defaultDatasetId).listItems();

Limitations

Honest notes so nothing surprises you:

• Coverage is strongest in France. The index held about 85,000 live offers when this was written, of which roughly 79,000 were in France. Spain, the United Kingdom, the United States, Germany, Canada, Belgium and Italy each contribute a few hundred to a thousand. Outside Europe the coverage is thin.
• This uses an unofficial, undocumented endpoint. The Actor reads the same public search index the website's own front end queries. That interface can change shape or be withdrawn without notice.
• The public search keys rotate. The site publishes its search-only credentials at a public endpoint; the Actor reads them at the start of every run and only falls back to the pair captured at build time if that endpoint is unreachable or has changed shape. The run log always states which of the two was used. If the site rotates its keys and changes that endpoint at the same time, the Actor needs a rebuild — the run will fail loudly rather than return empty.
• profile, not the full description. The search index carries the candidate-requirements text, not the complete job description. About a third of offers include it. The full description lives only on the job page, which is rendered in the browser and is not fetched by this Actor.
• Many fields are optional. Salary appears on a minority of offers, and experience, education, department and profession are frequently absent. An absent field means the employer did not publish it.
• remote: unknown is common. It means the employer did not state a remote policy, not that the job is on-site.
• Search depth. The Actor follows up to 100 pages per search; with 100 offers per page that is 10,000 offers for a single search. Split very large jobs by location or contract type.
• One contract type per search. To collect two contract types, run two searches or pass two start URLs.

FAQ

Do I need an account or a login? No. Only publicly visible job offers are read; nothing behind a login is touched.

Do I need proxies? No. The Actor is HTTP-only and works from Apify's datacenter IPs, which is why proxy support is off by default. You can turn on Apify Proxy if you ever see repeated request failures.

How fast is it, and how many jobs can I pull? One request returns up to 100 offers. A measured local run collected 500 offers in 7 seconds with 5 requests and no failures. A single search can be followed to 10,000 offers; split bigger jobs by city or contract type.

Can I get every job for one company? Yes — pass the company page URL, for example https://www.welcometothejungle.com/en/companies/alan, and raise maxItems.

Which countries does it cover? France by a wide margin, then Spain, the United Kingdom, Germany, Belgium, Italy, Canada and the United States. Use location with a city name, a country name or a two-letter code.

Why is salaryMin missing on most rows? Most employers on this site do not publish a salary. The Actor reports what is published and leaves the rest out rather than estimating.

What does remote: punctual mean? Occasional remote work — a day here and there. The Remote-friendly only filter keeps just fulltime and partial.

Why did my run fail with "No job offers with status ok"? The search matched nothing, or the source could not be read. That is deliberate: an empty run fails loudly instead of quietly returning zero rows. Check the not_found or error row in the dataset for the reason.

Is the job description included? The candidate-requirements text (profile) is included when published. The full description is not part of the search index.

Can I schedule it? Yes. Use Apify Schedules and store results in a named dataset, or push them to Sheets, Airtable or a CRM through an integration.

Legal and privacy

This Actor collects only publicly available job-advertisement and company data. It is an independent tool and is not affiliated with, endorsed by, or connected to Welcome to the Jungle or its operators. All trademarks belong to their respective owners.

• ✅ No personal data. The Actor never extracts recruiter or contact names, e-mail addresses or phone numbers. Company identities are business information, not personal data.
• ✅ No login, no private pages. Only anonymous, publicly reachable content is read.
• ✅ No protection is circumvented. The Actor reads a public search interface with the credentials the site itself publishes, and stays within polite request rates.
• ✅ Business data only. Output describes companies and vacancies.
• ✅ Lawful purposes only. Use the data in line with GDPR and any other law that applies to you.
• ✅ You are the controller. You decide what you collect, how long you keep it and what you do with it. Review the target site's terms before large-scale or commercial use.

If you believe a record should not be published here, contact Apify support and it will be reviewed.

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Found a bug or want another field? Open an issue on the Actor's page — and if it saved you time, a ⭐ review helps a lot.