Welcome to the Jungle Jobs Scraper — Salary & Remote

Disclaimer: Unofficial tool — not affiliated with, sponsored by, or endorsed by Welcome to the Jungle or its affiliates. Data is read from publicly accessible job-search results only. No login. You are responsible for complying with applicable law (including GDPR where personal data appears) and the site’s terms. No warranty on accuracy or availability. Provided for informational and research use.

Welcome to the Jungle scraper for public job listings. A practical Welcome to the Jungle API alternative: search by keyword, city, country, contract, or remote policy, or paste a search, company, or job URL. Export title, company, city, contract, salary, experience, and the job description as JSON, CSV, or Excel. Fast HTTP, no headless browser, no login. Run it with Python, Node.js, cURL, or Apify MCP.

Use it for recruiting coverage, salary checks, and a daily watch of new job ids.

Actor	Focus
Welcome to the Jungle Jobs Scraper ◄── you are here	Public Welcome to the Jungle listings
France Travail Scraper	Public France Travail job offers
APEC Jobs Scraper	France cadre jobs and salary
LinkedIn Jobs Scraper	Public LinkedIn job listings
InfoJobs Job Scraper	Spain job listings
Stepstone Jobs Scraper	DACH commercial job board

When to use this Actor

• You need a Welcome to the Jungle scraper / WTTJ scraper that returns structured jobs
• You want keyword + city + contract + remote without an employer API key
• You need salary, company, and the description on the same row
• You run a daily monitor and only want job ids that were not seen last time

When not to use this Actor

• Candidate profiles or CVs — public job listings only
• Recruiter inboxes — the apply form is not submitted
• Logged-in employer space — no login
• The whole board in one query — the search index stops at 1,000 hits per query. Split by city, contract, or company

Key features

• Public job index (title, company, office city, salary, remote, contract, listing text)
• Optional job record for the apply link, skills, and a longer description
• City, country, contract, remote, language, yearly salary floor, and minimum experience
• Company slug or a public company URL
• Monitor mode stores seen job ids, sorts newest first, and bills only new rows
• 256 MB HTTP run, proxy off by default

Input

Field	What it does
keyword	Job title, skill, or words to search
location	Office city, such as Paris or Berlin
countryCode	Office country, such as FR or DE
contractType	full_time, internship, apprenticeship, freelance, and related values
remote	fulltime, partial, punctual, or no
salaryMinYearly	Keep jobs whose yearly minimum is at least this amount
companySlug	Company slug from the public company path
sortBy	relevance or date. Monitor mode uses date
startUrls	Search, company, or job URLs. They replace keyword and city
includeDetails	Fetch the apply link and skills. Default off. One row is still one job
maxItems / maxPages	Caps. Each page has 20 jobs
monitorMode	Push only new job ids on later runs

{
  "keyword": "python",
  "location": "Paris",
  "contractType": "full_time",
  "remote": "fulltime",
  "maxItems": 50,
  "proxyConfiguration": { "useApifyProxy": false }
}

Search URL example inside a run input:

{
  "startUrls": [
    { "url": "https://www.welcometothejungle.com/en/jobs?query=python&aroundQuery=Paris" }
  ],
  "maxItems": 20
}

Monitor example:

{
  "keyword": "data",
  "location": "Lyon",
  "sortBy": "date",
  "monitorMode": true,
  "monitorStoreName": "wttj-lyon-data",
  "maxItems": 50
}

Output

One dataset row is one job.

Field	Meaning
jobId	Company slug and job slug
title, company, companySlug	Card identity
city, countryCode, location	First office
contractType, remote	Contract and remote policy
salaryText, salaryMin, salaryMax, salaryCurrency, salaryPeriod	Disclosed pay
experience, profession, sector	Profile and industry
description	Listing text from the search result
applyUrl, skills	Present when the job page is opened
publishedAt	Publish time
url	Public job page

{
  "jobId": "example-labs:backend-engineer_paris",
  "title": "Backend Engineer",
  "company": "Example Labs",
  "city": "Paris",
  "countryCode": "FR",
  "contractType": "full_time",
  "remote": "partial",
  "salaryText": "45000–55000 EUR yearly",
  "salaryMin": 45000,
  "salaryMax": 55000,
  "salaryCurrency": "EUR",
  "salaryPeriod": "yearly",
  "profession": "Software Engineer",
  "url": "https://www.welcometothejungle.com/en/companies/example-labs/jobs/backend-engineer_paris"
}

Use cases

• Build a daily list of new Python or product roles in one city
• Compare disclosed yearly pay on full-remote listings
• Feed a recruiting CRM with company, city, contract, and description
• Watch one keyword and skip job ids you already stored

Integration examples

Node.js

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor("crawloop/welcome-to-the-jungle-jobs-scraper").call({
  keyword: "python",
  location: "Paris",
  contractType: "full_time",
  maxItems: 30,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Python

from apify_client import ApifyClient

client = ApifyClient()
run = client.actor("crawloop/welcome-to-the-jungle-jobs-scraper").call(run_input={
    "keyword": "data",
    "location": "Lyon",
    "remote": "fulltime",
    "maxItems": 30,
})
items = client.dataset(run["defaultDatasetId"]).list_items().items
print(len(items), items[0].get("salaryText"))

cURL

curl "https://api.apify.com/v2/acts/crawloop~welcome-to-the-jungle-jobs-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d "{\"keyword\":\"product manager\",\"location\":\"Berlin\",\"maxItems\":20}"

MCP and AI assistants

Use this Actor from AI tools via Apify MCP. Connect your Apify account, then call this Actor by its Store name crawloop/welcome-to-the-jungle-jobs-scraper.

Example prompts:

• "Run Welcome to the Jungle Jobs Scraper for python in Paris, full-time, max 20, and return title, company, and salary as JSON"
• "Scrape new data jobs in Lyon with monitor mode and summarize remote policy and city"
• "Chain Welcome to the Jungle Jobs Scraper then France Travail Scraper for the same city"

Suite next step

For the public employment board in France, run France Travail Scraper after this Actor. For cadre and executive listings, run APEC Jobs Scraper.

FAQ

Does this use the official employer API? No. It reads the public job index. No employer token and no login.

Where does the salary come from? From the search result, when the listing discloses a minimum or a range. The job page is optional and adds the apply link.

How does monitor mode work? Turn on monitorMode, set a monitorStoreName for that watch, and schedule the run. The first run stores the job ids it sees. Later runs push only ids that are not in that store, newest first, and stop when a page is entirely known.

Why did a broad query stop near 1,000 jobs? The index does not serve hits past 1,000 for one query. Add a city, country, or contract and run another search.