🌴 Welcome to the Jungle Scraper — Jobs, Companies & Salary Ranges

Scrape Welcome to the Jungle, one of Europe's largest tech and startup job boards, and turn its live job ads into clean, structured data. This Welcome to the Jungle scraper collects the job title, hiring company, city and country with coordinates, contract type, remote policy, published salary range, sectors, benefits, key missions and requirements — plus company size and founding year on every single row. Export to JSON, CSV, Excel or XML, or pull it straight from the API. Fast, reliable, and you pay only per job you actually get.

What does the Welcome to the Jungle Scraper do?

The Welcome to the Jungle Scraper is a job-board crawler that extracts public job ads into a flat, analysis-ready table. Search by keyword the way you would on the site (développeur, data analyst, product manager), or leave the keyword empty and sweep the whole current board. Both the French and English editions are supported.

What makes this dataset unusual is how much of it is already structured. Most job boards bury pay inside free text; here the salary minimum, maximum, currency and period are separate numeric fields, so you can sort and average them straight away. Every office carries latitude and longitude, so results drop onto a map with no geocoding step. And each employer arrives with its headcount, founding year, sectors and logo attached.

What data can you scrape from Welcome to the Jungle?

Data point	Description
title	Job title exactly as published
url	Direct link to the job ad
companyName	Hiring company
companyUrl	Link to the company profile
companySummary	One-line description of the employer
companySize	Number of employees
companyFoundedYear	Year the company was founded
companyLogo	Company logo image URL
companyLabels	Employer badges such as "great place to work"
contractType	Permanent, fixed-term, internship, apprenticeship, freelance, VIE…
contractDurationMinimum / contractDurationMaximum	Contract length in months, where published
remote	Remote policy — fully remote, partial, occasional or none
experienceLevelMinimum	Years of experience required
educationLevel	Required education level
profession	Normalised job role (e.g. Software Developer)
professionCategory / professionSubCategory	Role family and sub-family
salaryMinimum / salaryMaximum	Published salary range as numbers
salaryYearlyMinimum	Salary normalised to a yearly figure
salaryCurrency / salaryPeriod	Currency and whether the figure is yearly or monthly
offices	Every office: city, district, state, country, latitude, longitude
cities, countries	Flat arrays of city and country names
locationsText	All cities in one readable string
sectors	Company sectors (SaaS, Fintech, Health…)
benefits	Perks listed on the ad
keyMissions	The role's main responsibilities, as a clean array
requirements / requirementsText	Candidate requirements, HTML and plain text
summary	Short summary of the role
publishedAt	Publication date (ISO 8601)
scrapedAt	When the row was collected (ISO 8601)

Use cases

• Salary benchmarking — thousands of ads with structured pay ranges, ready to average by role, city or seniority.
• Recruitment market research — track hiring demand by sector, contract type, remote policy and company size over time.
• Build a job board or aggregator — keep a European tech jobs feed fresh with a scheduled run and one row per ad.
• Startup and scale-up intelligence — see which companies are hiring, how big they are, how old they are and what they pay.
• Talent sourcing — filter to remote-friendly roles in a city or a salary band and push matches into Slack or email.
• Map and geo analysis — every office ships with coordinates, so hiring maps need no geocoding.
• Lead generation for recruiters — find employers actively opening roles, with company profile and logo attached.
• Academic and economic research — build a longitudinal dataset of the European tech labour market from public postings.

How to scrape Welcome to the Jungle job data

1. Add the Welcome to the Jungle Scraper to your Apify account and open the input form.
2. Type one or more search keywords — a role (développeur, data analyst) or a skill. Leave it empty to collect the whole current board.
3. Pick the language edition, and optionally narrow by contract type, city, country, company, sector, minimum salary, remote-friendly or published within N days.
4. Set Max items if you want a smaller sample.
5. Click Start, then download the dataset as JSON, CSV, Excel or XML — or fetch it from the Apify API.

Input

Example input

{
  "searchQueries": ["développeur", "data analyst"],
  "language": "fr",
  "contractTypes": ["full_time"],
  "city": "Paris",
  "minSalary": 45000,
  "remoteOnly": true,
  "publishedWithinDays": 30,
  "maxItems": 500
}

Input reference

Field	Type	Description
searchQueries	array	Keywords to search — matches job titles, companies and descriptions
language	string	fr or en — which language edition to read
contractTypes	array	Permanent, part time, fixed-term, internship, apprenticeship, freelance, VIE, other
remoteOnly	boolean	Keep only roles that are fully remote or offer regular home working
city	string	Keep only ads in a matching city (accent-insensitive)
country	string	Keep only ads in a matching country
company	string	Keep only ads from employers whose name matches
sector	string	Keep only ads in a matching sector
minSalary	integer	Keep only ads advertising at least this yearly salary
publishedWithinDays	integer	Keep only ads published in the last N days (0 = no limit)
maxItemsPerQuery	integer	Cap per keyword (0 = no cap)
maxItems	integer	Overall cap for the run (0 = no cap)
proxyConfiguration	object	Optional proxy settings — not required by default

Output

Every job is one flat record:

{
  "id": "1783492",
  "url": "https://www.welcometothejungle.com/fr/companies/sii/jobs/developpeur-python-angular-h-f_bordeaux",
  "title": "Développeur Python / Angular (H/F)",
  "companyName": "Groupe SII",
  "companyUrl": "https://www.welcometothejungle.com/fr/companies/sii",
  "companySummary": "Conseil en technologies pour la transformation numérique des grands-comptes.",
  "companySize": 16000,
  "companyFoundedYear": 1979,
  "companyLabels": ["great-place-to-work"],
  "contractType": "full_time",
  "remote": "partial",
  "profession": "Développeur de logiciels",
  "professionCategory": "Technologie et ingénierie",
  "salaryMinimum": 36000,
  "salaryMaximum": 47000,
  "salaryYearlyMinimum": 36000,
  "salaryCurrency": "EUR",
  "salaryPeriod": "yearly",
  "offices": [
    { "city": "Bordeaux", "state": "Nouvelle-Aquitaine", "district": "Gironde", "country": "France", "countryCode": "FR", "latitude": 44.8367, "longitude": -0.58105 }
  ],
  "cities": ["Bordeaux"],
  "countries": ["France"],
  "locationsText": "Bordeaux",
  "sectors": ["Logiciels", "Intelligence artificielle / Machine Learning", "IT / Digital"],
  "benefits": ["Horaires de travail flexibles", "Entre 1-2 jours de télétravail"],
  "keyMissions": ["Développer de nouveaux composants et améliorer les modules existants."],
  "publishedAt": "2026-09-06T22:04:39.000Z",
  "scrapedAt": "2026-09-07T01:28:56.358Z"
}

Output schema

Field	Type	Description
id	string	Job ad ID
reference	string	The board's own reference for the ad
url	string (URL)	Direct link to the job ad
title	string	Job title
slug	string	URL slug of the ad
companyName	string	Employer name
companySlug	string	Employer URL slug
companyUrl	string (URL)	Employer profile page
companySummary	string	One-line employer description
companyDescription	string	Longer employer description, where published
companySize	integer	Number of employees
companyFoundedYear	integer	Year founded
companyLogo	string (URL)	Logo image
companyLabels	array	Employer badges
contractType	string	Contract type
contractDurationMinimum	number	Minimum contract length in months
contractDurationMaximum	number	Maximum contract length in months
remote	string	Remote policy
experienceLevelMinimum	number	Years of experience required
educationLevel	string	Required education level
profession	string	Normalised job role
professionCategory	string	Role family
professionSubCategory	string	Role sub-family
salaryMinimum	number	Bottom of the published salary range
salaryMaximum	number	Top of the published salary range
salaryYearlyMinimum	number	Salary normalised to a yearly figure
salaryCurrency	string	Salary currency
salaryPeriod	string	Yearly or monthly
offices	array	Objects with city, district, state, country, countryCode, latitude, longitude
cities	array	City names
countries	array	Country names
locationsText	string	All cities in one readable string
sectors	array	Company sectors
benefits	array	Perks listed on the ad
keyMissions	array	Main responsibilities
requirements	string	Candidate requirements (HTML)
requirementsText	string	Candidate requirements (plain text)
summary	string	Short role summary
language	string	Language edition the row came from
publishedAt	string (ISO date)	Publication date
scrapedAt	string (ISO date)	When the row was collected

Need job data from other markets?

• France Travail Scraper — the French public employment service
• eJobs.ro Scraper — Romania's largest job board
• StepStone Scraper — jobs across Germany, Austria and the Benelux
• Arbeitnow Scraper — German and English-speaking roles in Europe
• Reed Scraper — one of the UK's biggest job boards
• Indeed Scraper — worldwide job search

FAQ

How many jobs can I scrape from Welcome to the Jungle? The board carries tens of thousands of live ads. Each keyword returns up to 1,000 results, so use several keywords — or add a city, contract type or sector filter — to sweep past that and cover the whole board. Use maxItems to cap a run.

Do I need an account, a login or any setup? No. Add the actor, type a keyword, press Start. There is nothing to install and no credentials to supply.

How does billing work? Pay per result. You are charged for each job row stored in your dataset, so a run that returns nothing costs you effectively nothing. There are no monthly platform fees to use the actor.

Does it really include salaries? Yes, wherever the employer published one — and as separate numeric fields (salaryMinimum, salaryMaximum, salaryYearlyMinimum) with the currency and period alongside, not buried in free text. Roughly three quarters of ads in a typical run carry a range. Set minSalary to keep only ads above a threshold.

Can I filter to remote jobs only? Yes. Tick Remote-friendly only and the run keeps just the fully-remote and regular-home-working ads, and you can combine it with a keyword, city or contract type.

Can I get French and English listings? Both. Pick the language edition in the input. French carries the most ads; English covers the international listings.

Which export formats are supported? JSON, CSV, Excel, XML and HTML table from the Apify console, plus the dataset API for programmatic access.

How fresh is the data? Every run reads the board live, and each row carries publishedAt and scrapedAt timestamps. Schedule the actor hourly or daily to keep a dataset current, and use publishedWithinDays to keep only recent ads.

Can I integrate this with my own tools? The Welcome to the Jungle Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform. It works with Make, Zapier, Slack, Airbyte, GitHub, Google Drive and many more, plus the Apify API, JS/Python clients and MCP. Or use webhooks to trigger an action whenever a run finishes.

Is scraping Welcome to the Jungle legal? This scraper collects only public job listings — the same information any visitor can read on the site. It never touches candidate profiles, CVs or any personal data behind a login. You are responsible for using the data in line with applicable law and the site's terms.

Related Actors

• Working Nomads Scraper — curated remote jobs
• Remote Jobs Aggregator — remote roles from several boards at once
• RemoteOK Scraper — remote tech jobs
• We Work Remotely Scraper — one of the oldest remote job boards
• Company Jobs Scraper — careers pages of individual employers

Notes

Original clean-room implementation. Returns only public data; you are responsible for compliance with Welcome to the Jungle's terms. Not affiliated with Welcome to the Jungle.