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Scrapers / Jobs & Recruiting

Welcome to the Jungle Jobs Scraper logo

Welcome to the Jungle Jobs Scraper

hipersoft/welcometothejungle-scraper

Scrape job ads from Welcome to the Jungle: title, company with size and founding year, city and country with coordinates, contract type, remote policy, salary range, sectors, benefits and key missions. Filter by keyword, city, contract or salary and export to JSON, CSV, Excel or XML.

Total users

1

Monthly users

0

Total runs

64

Per job scraped

$0.003

Last rebuilt

Oct 26, 2026

Overview

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.

Welcome to the Jungle Scraper input form — search keywords, language, contract type, city, salary and remote filters

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?

Example Welcome to the Jungle job record — every field of one scraped job ad with real values including salary range and coordinates

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?

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.

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.

Input

FieldTypeDescription
searchQueries
Search keywords
arrayKeywords to search. Each one runs its own search and matches job titles, companies and descriptions — for example 'développeur', 'data analyst', 'product manager' or 'marketing'. Leave empty to collect the whole current job board.
language
Language
string · fr, enWhich language edition of the board to read. French carries the most ads; English covers the international listings.
Default: "fr"
contractTypes
Contract types
arrayOnly return these contract types. Leave empty for all.
remoteOnly
Remote-friendly only
booleanKeep only roles that offer remote work (fully remote or regular home working).
Default: false
city
City
stringOptional. Keep only ads in a city whose name contains this text — for example 'Paris', 'Lyon', 'Bordeaux' or 'London'. Accent-insensitive.
country
Country
stringOptional. Keep only ads in a country whose name contains this text — for example 'France', 'Espagne' or 'United Kingdom'.
company
Company name
stringOptional. Keep only ads from employers whose name contains this text.
sector
Sector
stringOptional. Keep only ads whose sector contains this text — for example 'SaaS', 'Fintech' or 'Santé'.
minSalary
Minimum salary
integerOptional. Keep only ads advertising at least this yearly salary. Ads without a published salary are excluded when this is set. 0 = no salary filter.
Default: 0
publishedWithinDays
Published within (days)
integerOptional. Keep only ads published in the last N days. 0 = no date limit.
Default: 0
maxItemsPerQuery
Max items per search
integerMaximum jobs to keep from each keyword (0 = as many as the source returns).
Default: 0
maxItems
Max items
integerOverall cap on jobs collected in this run (0 = no limit).
Default: 0
proxyConfiguration
Proxy configuration
objectProxy settings. Not required by default. If you experience reduced results, enable Apify Proxy for the most reliable access.
Default: {"useApifyProxy": false}

API

curl -X POST "https://api.apify.com/v2/acts/hipersoft~welcometothejungle-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "searchQueries": [
    "développeur"
  ]
}'

Pricing

EventPricePaid plans from
Job scraped
One Welcome to the Jungle job ad returned with all its fields.
$0.003$0.0015

You pay only for what the run returns. Set a maximum cost per run and it stops cleanly at that limit.

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