Welcome to the Jungle Jobs Scraper - Salary, Remote & Company

What does Welcome to the Jungle Jobs Scraper do?

Welcome to the Jungle Jobs Scraper exports job postings from welcometothejungle.com (WTTJ), the job board of France's start-ups, scale-ups and large employers, also live in the US, UK, Spain and Czechia. Each row is one job: title, salary, contract, remote policy, office address, full description, apply link and ATS, skills, tools, and the employer's profile (headcount, revenue, gender parity, socials). It is built for recruiters, staffing agencies, HR-tech and sales teams who need WTTJ jobs in a spreadsheet, CRM or pipeline.

WTTJ scraper · Welcome to the Jungle API · WTTJ jobs export · welcometothejungle.com job data

• Every field of the job page: description (HTML, text and Markdown), candidate profile, recruitment process, key missions, salary range, contract length, experience and education, benefits by category, skills, tools, screening questions and the application form's fields.
• No 1,000-result cap: the site's own search stops at 1,000 jobs per search; this actor reads past it, up to the whole board (about 90,000 jobs on 2026-10-21) in one run.
• The employer in the same row: headcount, founding year, revenue, staff turnover, average age, women/men split, gender equality index, labels (B Corp, Great Place to Work…), head office, website, LinkedIn, X, Facebook, Instagram.
• Company profiles and articles too: switch the mode to export about 7,800 employer profiles or WTTJ's 8,600 career articles.
• Monitor mode: schedule it daily and get only jobs you have not received before; alerts to Slack, Discord, Telegram, WhatsApp or your webhook.
• Optional add-ons: the French company register record (SIREN, SIRET, NAF code, headcount band) and the employer's public email from its own website.
• No login, cookies or WTTJ account: you give search terms, filters or links.
• Export anywhere: JSON, CSV, Excel, XML; API, schedules, webhooks, Make, Zapier, n8n, Google Sheets, MCP.

What data can you get from Welcome to the Jungle?

💼 Job title (name)	🏢 Company (organizationName)	📍 City, region, country, address, zip, GPS
💶 Salary from / to, currency, period	📄 Contract type and length	🏠 Remote policy
🎓 Experience (years) and education	📝 Description, profile, recruitment process	🎯 Key missions and WTTJ summary
🛠️ Skills and tools	🔗 Apply link + ATS (applyUrl, ats)	❓ Screening questions
🎁 Benefits by category	🏷️ Category, sub-category, profession, sectors	📅 Published, updated, start date
👥 Headcount, founding year, revenue	⚖️ Women/men split, equality index, turnover, average age	🌐 Website, LinkedIn, X, Facebook, Instagram

On a 1,000-job platform run (search commercial, run XYP8cGJjkQlybqKm2): description 100.0%, external apply link 96.8%, skills 90.8%, office address 98.8%, employer website 99.3%, LinkedIn 99.8%, average age 71.6%, revenue 25.7%, salary 15.0%. Fields WTTJ does not publish for a job are null, never a placeholder.

How to scrape Welcome to the Jungle with Welcome to the Jungle Jobs Scraper

1. Create a free Apify account: $5 of monthly credit, no card needed.
2. Open Welcome to the Jungle Jobs Scraper and click Try for free.
3. Type one or more Search terms (e.g. data engineer), pick a Country or Location, and add filters if you want them.
4. Set Maximum results and click Start. Rows stream into the dataset as they are read.
5. Open the Storage tab and Export as JSON, CSV or Excel, or let a schedule run it for you.

⬇️ Input

All filters are optional. Every filter applies to every search term, link and company in the run.

Parameter	Type	Description
🔍 What to scrape
mode	Select	jobs (default), companies, articles, or jobsAndCompanies (each job plus one row per employer)
searchQueries	List	Search terms, one per line, matched like the site's search box. Empty = the newest jobs
query	String	One search term (same as one line above)
startUrls	List	WTTJ links: jobs, companies, searches (filters in the link are kept) or articles; or a file of links
companies	List	Company slugs or links, e.g. doctolib; jobs mode returns their open jobs
🎯 Filters (applied by WTTJ's search)
websiteCountry	Select	Site edition en / fr / es / cs / sk: translates labels and links. Default en
location, locationRadius, radiusKm	String / Select / Integer	A place resolved by WTTJ's own location search + radius (default 20 miles)
latitude, longitude	String	Search around exact coordinates
countryCode	String	One or more ISO codes (FR, FR,BE); overrides location
cities, regions	List	Exact office cities / regions or départements
sortBy, datePosted, postedAfter, postedBefore	Select / Date	Relevance or newest first; last 24 h to 30 days; fixed dates
contractType, remote	Multi-select	Permanent, fixed-term, internship, work-study, freelance, VIE…; fully / partial / occasional / no remote
experienceLevel, experienceMin, experienceMax	Select / Integer	Years of experience asked
educationLevel	Multi-select	No diploma to PhD
salaryMin, salaryMax, salaryCurrency, onlyWithSalary	Integer / Multi-select / Boolean	Yearly salary range, currency, only jobs that publish a salary
companySize, companySizeMin, companySizeMax	Select / Integer	Employer headcount
language, sector, occupation, jobSubCategory	Select / Multi-select	Job language, 20 sectors + 99 sub-sectors, 20 job categories + 179 sub-categories
companyLabels, companyCommitments, benefits	Multi-select / List	Employer labels and commitments; benefits every job must offer
onlyPromoted, searchOnlyInJobTitle, onlyHiring	Boolean	Promoted jobs; match the title only; companies with open jobs
✂️ Refine results (applied before any charge)
excludeKeywords, excludeCompanies	List	Drop jobs by words in the title/company, or by company
onlyWithApplyUrl, onlyWithApplicationQuestions, skipReposts	Boolean	External apply link only; screening questions only; drop reposts
➕ Extra data
includeDetails	Boolean	The full job page. Default true, charged as job-details
enrichCompanyRegistry	Boolean	French register record per employer, charged as company-registry when matched
enrichEmails	Boolean	The employer's public email from its own website, charged as email-found when found
includeArticleBody	Boolean	Articles mode: the full article text. Default true
🔁 Monitoring
monitorMode, monitorStoreName, monitorIncludeUpdated, resetMonitor	Boolean / String	Only jobs not delivered by earlier runs; memory name; also edited jobs; start over
🔔 Alerts
webhookUrl, webhookHeaders, slackWebhookUrl, discordWebhookUrl, telegramToken + telegramChatId, whatsappPhoneNumberId + whatsappAccessToken + whatsappTo, notificationLimit, notifyOnlyChanges	String / Object / Integer / Boolean	Send the new rows after each run
📦 Output
maxItems	Integer	Default 100; 0 = everything that matches (no 1,000 cap)
maxItemsPerQuery, maxCompanies	Integer	Per search / company cap; company rows in jobs + companies mode
descriptionFormat, descriptionMaxLength	Select / Integer	HTML + text + Markdown (default), HTML, text or Markdown; cut long texts
compact, excludeEmptyFields	Boolean	Core fields only (for AI agents and MCP); drop empty fields
outputMode, chunkSize, chunkOverlap	Select / Integer	rag adds ragChunks (overlapping word chunks) for vector databases
⚙️ Advanced
proxyConfiguration, maxConcurrency	Proxy / Integer	Not needed (direct connection, datacenter fallback); job pages read in parallel (default 20)

Input JSON

{
  "searchQueries": ["data engineer", "product manager"],
  "countryCode": "FR",
  "contractType": ["full_time"],
  "remote": ["fulltime", "partial"],
  "datePosted": "7",
  "maxItems": 200
}

Paste a search link to reuse filters you set on the site

A link such as https://www.welcometothejungle.com/fr/jobs?query=python&refinementList[contract_type][]=internship&aroundLatLng=48.85,2.35&aroundRadius=20 keeps its query, its filters, its location and its sort. Company links (…/companies/doctolib) return that company's open jobs; job links return that one job.

Leave the search empty for the newest jobs

With no search term the actor returns the newest jobs that match your filters, newest first. {"countryCode": "DE", "maxItems": 0} exports every job with an office in Germany.

Monitor mode wants a fixed search

The memory is kept per search and per set of filters. Change a filter and the actor treats it as a new search. A relative window such as Last 7 days keeps the same memory from day to day.

⬆️ Output

Every job becomes one dataset item. A row from a real run (long texts shortened):

{
  "id": "ef041186-2f0e-4448-bfaa-8b2e3963e47a",
  "reference": "GRF_5bkYMMM",
  "name": "Consultant commercial en recrutement -Alternance",
  "url": "https://www.welcometothejungle.com/en/companies/groupe-randstad/jobs/consultant-commercial-en-recrutement-alternance_metz_GRF_5bkYMMM",
  "contractType": "apprenticeship",
  "remote": "partial",
  "salaryMin": 10149,
  "salaryMax": 23604,
  "salaryCurrency": "EUR",
  "publishedAt": "2026-10-20T22:01:45Z",
  "category": "HR / People",
  "city": "Metz",
  "zipCode": "57000",
  "skills": [
    "Accessibility"
  ],
  "applyUrl": "http://ris.my.salesforce-sites.com/RecrutmentRIR/RIR_NouveauCandidatur…",
  "ats": "external",
  "descriptionText": "Dépasser nos objectifs en faisant le bonheur de nos clients,\n\nÇa nous booste, et vous ?\n\nS…",
  "organizationName": "Groupe Randstad France",
  "organizationEmployees": 4500,
  "organizationRevenue": "3,6 M€",
  "organizationParityWomen": 78
}

Fields

Fill measured on the 1,000 rows of platform run XYP8cGJjkQlybqKm2.

Field	Type	What it is	Fill
name	string	Job title (also as title)	100.0%
url	string	Job page on welcometothejungle.com, in the chosen site language	100.0%
contractType	string	full_time, temporary, internship, apprenticeship, freelance, vie…	100.0%
remote	string	fulltime, partial, punctual, no, unknown	100.0%
salaryMin / salaryMax / salaryCurrency	number / string	Published salary range (currency and period only when an amount is published)	15.0%
experienceLevel	number	Minimum years of experience asked	86.6%
educationLevel	string	French diploma scale (bac_5 = master)	72.5%
publishedAt	string (ISO 8601)	Publication date	100.0%
category / subcategory	string	WTTJ job category and sub-category	100.0%
sectors	array	Employer sectors	99.9%
summary / keyMissions	string / array	WTTJ's summary and key missions of the job	100.0%
city / address / zipCode	string	Office of the job	98.8%
latitude / longitude	number	Office coordinates	97.0%
description	string	Full description (HTML; descriptionText and descriptionMarkdown too)	100.0%
profile	string	Candidate profile	82.1%
recruitmentProcess	string	Recruitment process	4.1%
skills	array	Skills, in the site language	90.8%
tools	array	Tools / tech stack of the job	9.2%
applyUrl	string	The employer's own application page (applyMethod: external; wttj = apply on WTTJ)	96.8%
ats	string	Applicant tracking system behind the job	100.0%
applicationFields	array	Application form fields and whether each is mandatory	96.7%
atsQuestions	array	Screening questions	1.8%
benefits / benefitCategories	array	Benefits, flat and by category	31.8%
startDate	string	Start date	11.1%
organizationName	string	Company	100.0%
organizationEmployees	number	Headcount	100.0%
organizationCreationYear	number	Founded	96.8%
organizationIndustry	string	Industry	99.9%
organizationRevenue	string	Revenue as the company states it	25.7%
organizationAverageAge	number	Average employee age	71.6%
organizationParityWomen / organizationParityMen	number	Share of women / men (%)	20.8%
organizationTurnover	number	Staff turnover (%)	1.7%
organizationEqualityIndex	number	French gender equality index (+ breakdown)	27.6%
organizationLabels	array	Labels (B Corp, Great Place to Work, EcoVadis…)	66.3%
organizationWebsite	string	Company website	99.3%
organizationLinkedin / organizationTwitter	string	Social profiles (also Facebook, Instagram, YouTube)	99.8%
organizationHeadquarter	object	Head office address and coordinates	100.0%
searchRanking	object	WTTJ's own ranking signals for the job (profile ranking, organization score, rank groups)	every search row
socialImage	string	The job's share image	every job page
companyRegistry	object	French register record (add-on): SIREN, SIRET, legal name and form, NAF code, headcount band, PME/ETI/GE, creation date, head office, register link	add-on
contactEmail / contactEmails / contactWebsite	string / array	Public email(s) on the employer's own website (add-on) and the page it was on	add-on
contentHash / isRepost / repostOfId / changeType	string / boolean	Repost detection and monitor state (new, updated)	every row

Company rows (mode: companies) carry name, url, description, size, employees, sectors, techStack (tools by category), jobsCount, website, offices, headquarterCity, labels, equalityIndex, the dossier fields above when the company has an open job, and the add-ons. Article rows carry name, url, language, kind, lead, body, bodyText, wordCount, categories, authors, organizations and publishedAt.

How can I use Welcome to the Jungle jobs data?

• 🎯 Recruitment and staffing agencies: find employers hiring for the roles you place, with the hiring company's size, sector and website.
• 💼 B2B sales and account-based marketing: hiring is a buying signal; a company opening five data roles needs data tools. Pair it with the register and email add-ons.
• 📊 HR, compensation and labour-market analysts: salary ranges by role, city, contract and experience across France, the US and Europe.
• 🧑‍💻 Job boards and aggregators: a structured feed with descriptions, apply links and ATS, refreshed by a daily monitor.
• 🏢 Employer-branding and HR-tech vendors: spot employers without an external ATS, with low parity scores or with screening questions.
• 🤖 AI and research teams: RAG chunks and compact rows for vector databases and agents.

How much does it cost to scrape Welcome to the Jungle?

Welcome to the Jungle Jobs Scraper is pay-per-result: $0.06 per 1,000 jobs plus $0.03 per 1,000 jobs that carry the full job page (on by default, so $0.09 per 1,000 jobs with the job page), no start fee. Company profiles and articles are $0.36 per 1,000. A run is charged only for the rows written to the dataset after your filters.

Jobs	With the job page (default)	Listing only
100	$0.009	$0.006
1,000	$0.09	$0.06
10,000	$0.90	$0.60
90,000 (the whole board)	$8.10	$5.40

Add-on	Price
French company register match (company-registry)	$0.0018 per employer matched, once per run
Employer email found (email-found)	$0.045 per employer with an email on its website, once per run; no email, no charge

There is nothing else to pay: Apify platform usage (compute, proxy) is included in these prices. On the test runs, 1,000 jobs with their job pages took 11.6 seconds on 256 MB, 100 jobs 4 seconds.

Integrations, API, scheduling & MCP

• Schedules: run it hourly, daily or weekly from the Schedules tab; with Only new jobs each run returns only jobs you have not received.
• Alerts: Slack, Discord, Telegram, WhatsApp or any webhook, straight from the input.
• No-code: Make, Zapier, n8n, Google Sheets, Airtable via Apify integrations.
• API: call it from Node.js or Python with apify-client; code on the API tab and the Apify API reference.
• MCP / AI agents: connect Claude, Cursor or any MCP client through the MCP tab and ask for WTTJ jobs in plain language; Compact rows keeps the answers small.

More TopApi scrapers

💼 Indeed Jobs Scraper: the same job rows from Indeed's 62 country sites	🧰 Website Technology Scraper: the tech stack behind an employer's website	📈 Similarweb Scraper: traffic and audience of the employers you find
🌐 Website Content Crawler: crawl an employer's own site to text	⭐ Trustpilot Reviews Scraper: what customers say about them	🧭 All TopApi actors

Limits & empty runs

• Results per search: no 1,000-job cap. WTTJ's search pages stop at 1,000 results, so runs above 1,000 read WTTJ's index in its own order (newest first when sorted by date); runs up to 1,000 keep the relevance order.
• Speed: about 1,000 jobs with job pages in 12 seconds on 256 MB (run XYP8cGJjkQlybqKm2); listing-only rows are faster (30 jobs in 1.5 seconds).
• Salary: WTTJ shows a salary on part of its jobs (15.0% on the 1,000-job sales run above); salaryMin/salaryMax are null on the rest, never zero.
• Employer figures: revenue, turnover, parity and the equality index are filled only when the employer publishes them on its WTTJ page.
• team: a rival lists it, but it was empty on every job page we read, so it is not a field.
• Company profiles: companies mode covers the about 7,800 employers with a profile on welcometothejungle.com; partner job-board copies of the same company are merged.
• Empty dataset: no job matches the search and filters (the run status gives the number of matches for each search), or, in monitor mode, nothing is new since the last run. Nothing is charged for an empty run.
• Register add-on: French employers only, and only when the register gives exactly one company for the employer's name with the same head-office city or creation year (11 of 25 French employers in our test sample).

FAQ

How many jobs can Welcome to the Jungle Jobs Scraper collect in one run?

As many as match. WTTJ's search pages stop at 1,000 results per search, but this actor reads WTTJ's index past that point: set Maximum results to 0 for every match, up to the whole board (about 90,000 jobs on 2026-10-21).

Can I run Welcome to the Jungle Jobs Scraper on a schedule to get new jobs automatically?

Yes. Save your input as a task, turn on Only new jobs (monitor), and add a daily schedule. Each run returns jobs that earlier runs did not deliver; a run that finds nothing new returns nothing and charges nothing. About 2,800 jobs are published on WTTJ every day.

Does Welcome to the Jungle Jobs Scraper return the full job description?

Yes, with Include the full job page on (the default): description, candidate profile, recruitment process, apply link, ATS, skills, tools, screening questions and the employer's profile, plus WTTJ's own summary and key missions.

Can Welcome to the Jungle Jobs Scraper export company profiles?

Yes. Set What to collect to Companies and search by name, sector, size or country, or paste company links. Jobs + one company row per employer returns both in one run.

Can I integrate Welcome to the Jungle Jobs Scraper with other apps?

Yes: Make, Zapier, n8n, Google Sheets, Slack and more via Apify integrations, or webhooks when a run finishes. The built-in alerts post new jobs to Slack, Discord, Telegram, WhatsApp or your webhook.

Can I use Welcome to the Jungle Jobs Scraper with the Apify API?

Yes. Start runs, fetch datasets and manage schedules with apify-client for Node.js or Python. Input names match the most-used WTTJ actor (query, websiteCountry, location, countryCode, contractType, remote, salaryMin, maxItems…).

Can I use Welcome to the Jungle Jobs Scraper through an MCP server?

Yes. Open the MCP tab, connect Claude Desktop, Cursor or another MCP client, and ask for jobs in plain language. Turn on Compact rows to keep answers short.

Do I need a Welcome to the Jungle account, cookies or an API key?

No. The actor reads what WTTJ shows to every visitor; you pass search terms, filters or links and nothing else.

Why did my Welcome to the Jungle Jobs Scraper run return no results?

Usually the filters: several filters together (a city, a sector and a salary floor) can match nothing. A location also applies to company links. The run's status line and the RUN_SUMMARY record give the number of matches for each search and what each filter removed. In monitor mode, an empty run means nothing new since the last run.

How is Welcome to the Jungle Jobs Scraper different from other WTTJ scrapers?

It reads WTTJ's own search index and job API instead of rendering pages, so it needs no browser and 256 MB, and it goes past the 1,000-result cap of the site's search. Each row joins the search record (WTTJ's summary and key missions) with the full job page and the employer's profile, and the input takes the same names as the most-used WTTJ actor. On top: company and article modes, repost detection, a monitor mode that only returns new jobs, alerts, RAG chunks, the French register and employer-email add-ons, at $0.09 per 1,000 jobs with the job page.

Is it legal to scrape Welcome to the Jungle?

Welcome to the Jungle Jobs Scraper extracts only publicly available job postings and company profiles; it does not log in or collect private data. Job pages can still name people, and personal data is regulated (for example by GDPR). Make sure you have a legitimate purpose before you use it.

Your feedback

We keep improving Welcome to the Jungle Jobs Scraper. Found a bug or missing a field? Open an issue on the Issues tab.