Welcome to the Jungle Jobs Scraper

Extract tech and startup job listings from Welcome to the Jungle (WTTJ) — Europe's fastest-growing job platform with 5.3M monthly visitors, 10,000+ companies, and positions across France, UK, US, and 50+ countries.

This actor uses WTTJ's internal Algolia search API to deliver fast, structured job data with rich filters — no browser, no proxy required.

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🚀 What does it do?

Searches WTTJ's full job index via their Algolia-powered search engine. You can filter by keyword, contract type, remote policy, experience level, salary, and job category. Optionally fetches full job descriptions via the WTTJ REST API.

Use cases:

• Build a curated remote tech job board for Europe
• Research salary transparency trends across startup roles
• Track hiring demand by technology stack or profession category
• Monitor which companies are actively recruiting
• Feed WTTJ data into ATS, CRM, or job alert tools

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📦 Output fields

Field	Description	Example
jobId	Unique Algolia job ID	"abc123"
title	Job title	"Senior Backend Engineer"
url	Full job listing URL	"https://welcometothejungle.com/..."
contractType	Employment type	"full_time"
remote	Remote policy	"full"
experienceMin	Min years required	3
salaryYearlyMin	Minimum yearly salary	60000
salaryYearlyMax	Maximum yearly salary	85000
salaryCurrency	Salary currency	"EUR"
hasSalary	Whether salary is disclosed	true
professionName	Job profession name	"Backend Developer"
professionCategory	Category slug	"tech"
companyName	Company name	"Stripe"
companySlug	Company URL slug	"stripe"
companyUrl	Company WTTJ profile	"https://welcometothejungle.com/..."
companyLogoUrl	Company logo	"https://..."
companySize	Number of employees	500
companyFunding	Total funding raised (EUR)	15000000
companyDescription	Company pitch	"Payments infrastructure..."
companyWebsite	Company website	"https://stripe.com"
offices	Office locations (array)	[{"city": "Paris", "country": "France"}]
description	Full HTML description	"<p>We are looking for..."
publishedAt	Publication timestamp	"2026-03-15T10:00:00Z"
language	Listing language	"en"
scrapedAt	Scrape timestamp	"2026-03-15T11:00:00.000Z"

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⚙️ Input configuration

Field	Type	Default	Description
query	string	""	Free-text search. E.g. "python developer", "product manager". Empty = all jobs.
language	string	"en"	"en" for English listings, "fr" for French.
contractTypes	string[]	[]	full_time, internship, part_time, freelance, alternating, vie
remote	string[]	[]	full, partial, no
categories	string[]	[]	Profession categories — see list below
experienceMin	integer	null	Minimum years of experience
experienceMax	integer	null	Maximum years of experience
salaryMin	integer	null	Minimum yearly salary (only for disclosed salaries)
maxJobs	integer	100	Max jobs to save. 0 = unlimited
fetchJobDetails	boolean	false	Fetch full description via REST API (slower)

Available categories

tech · data · design · marketing · sales · finance · hr · legal · product · operations · communication · customer-service · health · education

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💡 Example inputs

All remote full-time tech jobs:

{
  "query": "",
  "language": "en",
  "contractTypes": ["full_time"],
  "remote": ["full"],
  "categories": ["tech"],
  "maxJobs": 200
}

Python / backend roles with salary:

{
  "query": "python backend",
  "language": "en",
  "contractTypes": ["full_time"],
  "salaryMin": 50000,
  "maxJobs": 100
}

Junior positions in French (Paris):

{
  "query": "développeur",
  "language": "fr",
  "contractTypes": ["full_time", "internship"],
  "experienceMax": 2,
  "maxJobs": 100
}

All jobs with full details:

{
  "query": "product manager",
  "language": "en",
  "fetchJobDetails": true,
  "maxJobs": 50
}

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📊 Output example

{
  "jobId": "abc123xyz",
  "title": "Senior Backend Engineer",
  "url": "https://www.welcometothejungle.com/en/companies/stripe/jobs/senior-backend-engineer",
  "contractType": "full_time",
  "remote": "partial",
  "experienceMin": 3,
  "salaryYearlyMin": 65000,
  "salaryYearlyMax": 90000,
  "salaryCurrency": "EUR",
  "hasSalary": true,
  "professionName": "Backend Developer",
  "professionCategory": "tech",
  "companyName": "Stripe",
  "companySlug": "stripe",
  "companyUrl": "https://www.welcometothejungle.com/en/companies/stripe",
  "companySize": 7000,
  "companyWebsite": "https://stripe.com",
  "offices": [{ "city": "Paris", "country": "France", "countryCode": "FR" }],
  "publishedAt": "2026-03-10T09:00:00Z",
  "language": "en",
  "scrapedAt": "2026-03-15T11:00:00.000Z"
}

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💰 Pricing

WTTJ hosts roughly 30,000–50,000 active job listings at any time.

Volume	Estimated cost
100 jobs	~$0.50
500 jobs	~$2.50
1,000 jobs	~$5.00
All jobs	~$15–25

Tier	Price per result
Default	$0.005
Bronze	$0.0045
Silver	$0.004
Gold	$0.0035

Enabling fetchJobDetails increases cost and run time as it makes one additional API call per job.

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⚡ Performance

• Pure API — Algolia search + WTTJ REST, no browser or rendering
• No proxy required — public search keys embedded in WTTJ frontend
• Fast pagination — 30 jobs per Algolia request, processes thousands in minutes
• Bilingual — supports both English and French job listings

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🔗 Integration

Export as JSON, CSV, Excel, or XML. Connect via:

• Zapier / Make — alert on new matching jobs
• Google Sheets — live job tracker spreadsheet
• Slack — daily job digest for your team
• REST API — programmatic access from any app

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❓ FAQ

Does this require authentication? No. The Algolia search keys used are public and embedded in WTTJ's frontend JavaScript.

What's the difference between language: en and language: fr? WTTJ maintains separate job indexes for English and French listings. Some companies post in both languages, others only in one.

Will fetchJobDetails get me the salary? Salary data is included in the Algolia index when companies choose to disclose it. fetchJobDetails may provide additional detail but salary disclosure depends entirely on the company.

How fresh is the data? The Algolia index is updated in near real-time as companies post and remove jobs. Run on a schedule for up-to-date results.