# Welcome to the Jungle Jobs Scraper (`datamole/welcome-to-the-jungle-jobs-scraper`) Actor

Scrape job listings from Welcome to the Jungle across Europe and North America. Filter by country, city, contract, remote policy, experience, salary and posting date. Returns salary ranges, company size, benefits and missions, with optional full descriptions and apply URLs.

- **URL**: https://apify.com/datamole/welcome-to-the-jungle-jobs-scraper.md
- **Developed by:** [DataMole](https://apify.com/datamole) (community)
- **Categories:** Jobs, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 1,000 result-items

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

![DataMole](https://raw.githubusercontent.com/YoiderD/datamole-assets/main/banner.png)

## 🌴 Welcome to the Jungle Jobs Scraper

> **Scrape every job on Welcome to the Jungle, with no 1,000 result limit.** Filter by country, city, contract, remote policy, experience, salary and posting date. Get salary ranges, company size, benefits and missions, plus optional full descriptions and apply URLs.

**Welcome to the Jungle** (WTTJ) is one of Europe's largest job platforms, with close to 90,000 live jobs across France, the US, the UK, Spain, Germany and more. Many scrapers stop at 1,000 results per search. This Actor **automatically splits large searches** by country, contract, remote policy, experience, profession and city, so you can export entire markets. Every job comes with **structured salary data** (min, max, currency, period and a normalized yearly minimum), **company size and founding year**, benefits, key missions and profession categories.

| 🎯 Who uses it | 💡 What for |
|---|---|
| Recruiters and staffing agencies, HR tech, salary benchmarking teams, job boards, sales teams, labor market researchers | Lead generation (companies hiring), salary benchmarks, job aggregation, market mapping, competitor hiring analysis |

### 📋 What it does

- 🔎 **Keyword search**, or leave it empty to export everything that matches your filters.
- 🌍 **Location filters:** countries and cities.
- 🏠 **Remote policy:** full remote, hybrid, occasional or on site.
- 📄 **Contract types:** full time, part time, internship, apprenticeship, freelance, temporary, VIE, graduate programs.
- 🎓 **Experience range**, 💶 **minimum yearly salary**, **only jobs with salary**, 🗓️ **posted in the last N days**, job ad language and specific companies.
- ♾️ **No 1,000 result cap.** Large searches are split automatically.
- 📝 **Optional details:** full description, requirements, recruitment process, start date, company description and **apply URL**.

> ℹ️ **Free Apify plan:** runs return a preview of up to 10 results. Any paid Apify plan unlocks the full results.

### 📊 Output

Real record (with details, trimmed):

```json
{
    "jobTitle": "Data Platform Engineer senior freelance (H/F)",
    "jobUrl": "https://www.welcometothejungle.com/en/companies/warren-walter/jobs/data-platform-engineer-senior-freelance-h-f_paris",
    "company": "Warren Walter",
    "companySize": 38,
    "companyFounded": 2015,
    "city": "Paris",
    "countryCode": "FR",
    "contractType": "freelance",
    "remote": "partial",
    "salaryMin": 650,
    "salaryMax": 800,
    "salaryCurrency": "EUR",
    "salaryPeriod": "daily",
    "salaryYearlyMin": 141700,
    "experienceYearsMin": 5,
    "category": "Tech & Engineering",
    "subCategory": "Data / Business Intelligence",
    "profession": "Data Engineer",
    "benefits": ["Remote work allowance", "Team building", "Professional development plan"],
    "keyMissions": ["Concevoir et développer les différents composants de la Data Platform AWS..."],
    "publishedAt": "2026-09-28T15:11:14.000Z",
    "applyUrl": "https://warren-walter.nicoka.com/public/jobs/668-70276f27fb0903f/apply",
    "recruitmentProcess": "• Echange avec l'équipe de recrutement\n• Echange avec le Directeur commercial et recrutement\n• Echange avec le client",
    "startDate": "2027-01-03T23:00:00Z"
}
```

### ⚙️ Input examples

**Every remote-friendly tech job in France posted this week:**

```json
{
    "queries": [""],
    "countries": ["FR"],
    "remote": ["fulltime", "partial"],
    "postedWithinDays": 7,
    "maxJobsPerQuery": 10000
}
```

**Salary benchmark for product managers in London:**

```json
{
    "queries": ["product manager"],
    "cities": ["London"],
    "onlyWithSalary": true,
    "includeJobDetails": true
}
```

### ✨ Why this one

- ✅ **No 1,000 result limit.** Automatic splitting exports entire markets.
- ✅ **Normalized yearly salary** for fair comparisons across daily, monthly and yearly pay.
- ✅ **Company firmographics** (size and founding year) for lead scoring.
- ✅ **Rich filters** that match the site, including salary and experience.
- ✅ **Fast.** 2,500 jobs in about 40 seconds in our tests.

### ❓ FAQ

**Which countries are covered?** Every country with jobs on WTTJ. Most jobs are in the US, France, the UK, Canada, Germany and Spain.

**Is the apply URL always included?** With `includeJobDetails`, when the employer provides one.

**Can I monitor new jobs daily?** Yes. Schedule the Actor with `postedWithinDays: 1`.

### ⚖️ Disclaimer

This Actor collects publicly available job listings from Welcome to the Jungle. It is not affiliated with Welcome to the Jungle. Use the data responsibly and respect applicable laws.

# Actor input Schema

## `queries` (type: `array`):

Job title or keywords. Leave one empty entry to get every job that matches the filters.

## `maxJobsPerQuery` (type: `integer`):

No hard 1,000 limit: large searches are split automatically.

## `maxItems` (type: `integer`):

Hard cap for the whole run. Leave empty for no cap.

## `countries` (type: `array`):

Two-letter country codes, e.g. FR, US, GB, ES, DE, CA.

## `cities` (type: `array`):

City names exactly as on the site, e.g. Paris, London, New York, Barcelona.

## `remote` (type: `array`):

Empty = any.

## `contractTypes` (type: `array`):

Empty = any.

## `minExperienceYears` (type: `integer`):

Only jobs asking for at least this many years.

## `maxExperienceYears` (type: `integer`):

Only jobs asking for at most this many years. Use 0 or 1 for junior roles.

## `minYearlySalary` (type: `integer`):

Only jobs whose yearly minimum salary is at least this amount (in the job's currency).

## `onlyWithSalary` (type: `boolean`):

Skip jobs without a published salary.

## `postedWithinDays` (type: `integer`):

Only recent jobs. Great for daily or weekly monitoring.

## `jobLanguages` (type: `array`):

Language the job ad is written in.

## `companies` (type: `array`):

Company slugs from the site URL, e.g. lucca, doctolib, qonto.

## `siteLanguage` (type: `string`):

Language used for categories and job URLs.

## `includeJobDetails` (type: `boolean`):

One extra request per job: full description, requirements, recruitment process, start date, company description and apply URL.

## `proxyConfiguration` (type: `object`):

Not needed in most cases.

## Actor input object example

```json
{
  "queries": [
    "data engineer"
  ],
  "maxJobsPerQuery": 1000,
  "onlyWithSalary": false,
  "siteLanguage": "en",
  "includeJobDetails": false
}
```

# Actor output Schema

## `jobs` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "queries": [
        "data engineer"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("datamole/welcome-to-the-jungle-jobs-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "queries": ["data engineer"] }

# Run the Actor and wait for it to finish
run = client.actor("datamole/welcome-to-the-jungle-jobs-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "queries": [
    "data engineer"
  ]
}' |
apify call datamole/welcome-to-the-jungle-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,datamole/welcome-to-the-jungle-jobs-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/QiymX9TMsbnk08FDs/builds/ztH4bMGuFGVfqWkTc/openapi.json