# Welcome to the Jungle Jobs Scraper (`piotrv1001/welcometothejungle-jobs-scraper`) Actor

Scrape Welcome to the Jungle job postings across France, Europe and the US: title, company, salary, contract, remote policy, offices, sectors and publish date, plus optional full description, apply link, skills and tools. Filter by keyword, country, city or company, past 1,000 results.

- **URL**: https://apify.com/piotrv1001/welcometothejungle-jobs-scraper.md
- **Developed by:** [FalconScrape](https://apify.com/piotrv1001) (community)
- **Categories:** Jobs, Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 jobs

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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

### 🌴 Welcome to the Jungle Jobs Scraper

**Welcome to the Jungle Jobs Scraper** extracts job postings from **[Welcome to the Jungle](https://www.welcometothejungle.com/)** (WTTJ), the leading tech and startup job board in France, with jobs across Europe and the US. No login and no API key needed. Search with keywords and filters (country, city, company, contract, remote, sector, job category, experience, salary, company size, posting date) or paste a WTTJ search or company URL. You get clean JSON with **title, company, salary range, contract type, remote policy, offices with GPS, sectors, job category, summary, key missions and publish date**. Turn on details to add the **full description, apply link, skills, tools and street address**.

Run it on the **[Apify platform](https://apify.com/)** to get scheduling, an API, webhooks and exports to Google Sheets, Excel or CSV.

### ✨ Features

- 🔍 **Keywords and 12 filters.** Country, city, company, contract type, remote work, company sector, job category, years of experience, minimum yearly salary, company size, job post language and posted within N days.
- 🏢 **All jobs of a company.** Type company names or paste company page URLs to get every open job of those employers.
- 📦 **No 1,000-result cap.** WTTJ shows at most 1,000 results per search. The Actor splits large searches automatically, so you can collect a whole country or all ~90,000 jobs. Each job appears once, even when searches overlap.
- 💶 **Salary data.** Minimum and maximum salary, currency, period and the yearly equivalent when the employer publishes one.
- 📝 **Full details (optional).** Full description (text and HTML), candidate profile, recruitment process, apply URL on the employer's ATS, skills, tools and the office street address with ZIP code.
- 🌍 **5 label languages.** Sector, category and skill names and job links in English, French, Spanish, Czech or Slovak.

### 💡 Use cases

- **Job market research.** Track hiring volume by sector, city, contract type or remote policy across France and Europe.
- **Salary benchmarks.** Collect published salary ranges for a role or a city.
- **Sales prospecting.** Find companies hiring for a given role (a buying signal) with their size and sector.
- **Job aggregators and alerts.** Feed new WTTJ jobs into your own job board, Slack channel or spreadsheet every day.
- **Competitor hiring.** Follow every job a list of companies posts.

### 🛠️ How to use

1. **Type keywords** (for example `data engineer`) and pick filters, or paste a WTTJ search or company URL.
2. **Set Max jobs.** The default is 50. Use 0 for every match.
3. **(Optional) Turn on Include full details** for the description, apply link, skills and tools.
4. **Run** the Actor, then export the dataset as JSON, CSV or Excel, or read it through the API.

With empty input the Actor returns the 50 newest jobs on the site.

### 📥 Input

| Field              | Type    | Description                                                                                                            |
| ------------------ | ------- | ---------------------------------------------------------------------------------------------------------------------- |
| `query`            | string  | Keywords, e.g. `data engineer`. Quotes for an exact phrase: `"data engineer"`.                                         |
| `searchUrls`       | array   | WTTJ job search URLs or company pages (`/en/companies/doctolib`). When set, the filter fields are ignored.             |
| `countries`        | array   | Country codes, e.g. `FR`, `US`, `GB`, `DE`                                                                             |
| `cities`           | array   | City names as on the site, e.g. `Paris`, `London`                                                                      |
| `companies`        | array   | Company names, slugs or company page URLs                                                                              |
| `contractTypes`    | array   | `full_time`, `part_time`, `internship`, `apprenticeship`, `temporary`, `freelance`, `vie`, `graduate_program`, `other` |
| `remote`           | array   | `fulltime`, `partial`, `punctual`, `no`, `unknown`                                                                     |
| `sectors`          | array   | Company sector, e.g. `tech-1`, `banking-insurance-finance`, `consulting-audit`                                         |
| `professions`      | array   | Job category, e.g. `tech-engineering-3NjUy`, `sales-customer-service-5MzIw`                                            |
| `experienceLevels` | array   | Minimum experience: `0-1`, `1-3`, `3-5`, `5-10`, `10+` years                                                           |
| `companySizes`     | array   | Employees: `0-15`, `15-50`, `50-250`, `250-2000`, `2000+`                                                              |
| `salaryMin`        | integer | Minimum published yearly salary                                                                                        |
| `jobLanguages`     | array   | Language of the job post, e.g. `en`, `fr`                                                                              |
| `postedWithinDays` | integer | Only jobs published in the last N days                                                                                 |
| `sort`             | string  | `relevance` (default, with keywords) or `newest`                                                                       |
| `maxItems`         | integer | Maximum jobs to save. Default `50`, `0` = no limit.                                                                    |
| `includeDetails`   | boolean | Add the full description, apply URL, skills, tools, recruitment process and address. Default `false`.                  |
| `siteLanguage`     | string  | `en` (default), `fr`, `es`, `cs`, `sk`: language of labels and links                                                   |

Example:

```json
{
    "query": "data engineer",
    "countries": ["FR"],
    "contractTypes": ["full_time"],
    "remote": ["partial", "fulltime"],
    "postedWithinDays": 7,
    "maxItems": 500,
    "includeDetails": true
}
```

All open jobs of two companies:

```json
{
    "companies": ["Doctolib", "https://www.welcometothejungle.com/en/companies/alan"],
    "maxItems": 0
}
```

### 📤 Output

Each job is one dataset item:

```json
{
    "id": "f5cf225e-1944-4221-a3dd-c884c7d65a27",
    "title": "Ingénieur confirmé Devops F/H",
    "url": "https://www.welcometothejungle.com/en/companies/artelys/jobs/ingenieur-confirme-devops-f-h_paris_ARTEL_a24Ye4O",
    "companyName": "Artelys",
    "companySlug": "artelys",
    "companyUrl": "https://www.welcometothejungle.com/en/companies/artelys",
    "companyLogo": "https://cdn-images.welcometothejungle.com/...",
    "companyEmployees": 135,
    "companyFoundedYear": 2000,
    "companySummary": "Optimisation mathématique et solutions d'aide à la décision.",
    "companyLabels": [],
    "contractType": "full_time",
    "contractDurationMinMonths": null,
    "contractDurationMaxMonths": null,
    "remote": "partial",
    "salaryMin": 45000,
    "salaryMax": 55000,
    "salaryCurrency": "EUR",
    "salaryPeriod": "yearly",
    "salaryYearlyMin": 45000,
    "experienceMinYears": 5,
    "educationLevel": "bac_5",
    "city": "Paris",
    "region": "Ile-de-France",
    "country": "France",
    "countryCode": "FR",
    "offices": [
        {
            "city": "Paris",
            "district": "Paris",
            "region": "Ile-de-France",
            "country": "France",
            "countryCode": "FR",
            "latitude": 48.87592,
            "longitude": 2.33036
        }
    ],
    "sectors": ["Specialised Engineering", "IT / Digital"],
    "sectorGroups": ["Engineering", "Consulting / Audit"],
    "profession": "DevOps Engineer",
    "professionCategory": "Tech & Engineering",
    "professionSubcategory": "Cloud Computing and DevOps",
    "language": "fr",
    "summary": "Rejoignez Artelys, une entreprise innovante spécialisée dans l'optimisation et la modélisation...",
    "keyMissions": [
        "Concevoir, déployer, sécuriser et maintenir des architectures techniques pour des solutions logicielles innovantes."
    ],
    "profile": "Vous êtes titulaire d’un diplôme bac +5 en informatique...",
    "benefits": ["Flexible working hours", "Afterworks, Team lunches"],
    "publishedAt": "2026-10-06T05:30:01Z"
}
```

With **Include full details** on, each job also has:

```json
{
    "hasDetails": true,
    "description": "Intégré(e) au sein de l’équipe d'Artelys vous mobiliserez vos compétences...",
    "descriptionHtml": "<p>Intégré(e) au sein de l’équipe d&#39;Artelys...</p>",
    "profileFull": "Vous êtes titulaire d’un diplôme bac +5 en informatique...",
    "recruitmentProcess": null,
    "companyDescription": "Rejoindre Artelys, c’est intégrer un environnement stimulant...",
    "applyUrl": "https://taleez.com/apply/ingenieur-confirme-devops-f-h-paris-artelys-cdi/applying?utm_source=wttj",
    "applicationTracking": "external",
    "skills": ["Interviewing"],
    "tools": ["C++", "Kubernetes", "Terraform", "Python"],
    "address": "81 Rue Saint-Lazare, 75009 Paris, France",
    "zipCode": "75009",
    "startDate": null,
    "updatedAt": "2026-10-06T05:30:02.660599Z"
}
```

Fields the employer left empty are `null`. About a third of all jobs carry a salary: roughly 3 in 4 US jobs, 1 in 5 French jobs and 1 in 5 UK jobs.

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

The Actor uses pay-per-event pricing, so you pay only for the jobs you get:

| Event       | Price                     | When it's charged                                        |
| ----------- | ------------------------- | -------------------------------------------------------- |
| Actor start | **$0.00005**              | Once per run                                             |
| Job         | **$0.001** ($1 per 1,000) | For every saved job                                      |
| Job details | **$0.001** ($1 per 1,000) | On top of the job price, for each job saved with details |

For example, 1,000 jobs cost about **$1.00**, or **$2.00** with full descriptions, apply links and skills. Set a maximum cost per run in Apify, and the Actor stops when it reaches that cost.

### ⚙️ Tips

- **Daily feed:** schedule a run with `postedWithinDays: 1` and your filters to collect only new jobs.
- **Exact phrases:** WTTJ matches keywords loosely (`data engineer` also finds DevOps roles that mention data). Use quotes, `"data engineer"`, for exact matches, or combine keywords with a job category.
- **Large runs:** beyond the 1,000 most relevant matches, the remaining jobs are collected by publication date.
- **Skip details when you don't need them.** Job rows already include salary, contract, location, summary and key missions.

### ❓ FAQ

**Is it legal to scrape Welcome to the Jungle?**
The Actor collects only publicly visible job postings. You are responsible for using the data lawfully and for respecting the site's terms.

**Do I need a proxy or a WTTJ account?**
No. No login, cookies or proxy are needed.

**Is there a result limit?**
No. The Actor works around the 1,000-result limit per search. `maxItems` and your maximum cost per run are the only limits.

**Why does a job have no details?**
The job was taken offline between the search and the detail visit. It is saved with the search data only and the details event is not charged.

### 🛟 Support

Missing a field or a filter? Open an issue in the **Issues** tab. Feedback and feature requests are welcome.

# Actor input Schema

## `query` (type: `string`):

Job title, skill or keyword, e.g. data engineer, product manager, React. Put a phrase in quotes for an exact match ("data engineer"). Leave empty to list all jobs that match the filters.

## `searchUrls` (type: `array`):

Optional. Paste job search URLs (https://www.welcometothejungle.com/en/jobs?query=...\&refinementList\[...]) or company pages (https://www.welcometothejungle.com/en/companies/doctolib) to get all of a company's open jobs. When URLs are given, the filter fields below are ignored, except Posted within, Sort, Max jobs and Include full details.

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

Only jobs with an office in these countries.

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

Only jobs in these cities, written as on the site, e.g. Paris, London, New York, Berlin.

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

Only jobs at these companies. Company names, slugs or company page URLs, e.g. Doctolib, qonto, https://www.welcometothejungle.com/en/companies/alan.

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

Leave empty for all.

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

Leave empty for all.

## `sectors` (type: `array`):

Industry of the hiring company.

## `professions` (type: `array`):

Type of role.

## `experienceLevels` (type: `array`):

Minimum years of experience asked in the job post.

## `companySizes` (type: `array`):

Number of employees of the hiring company.

## `salaryMin` (type: `integer`):

Only jobs whose published yearly salary starts at or above this amount (in the job's own currency). Jobs without a published salary are excluded.

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

Language the job post is written in.

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

Only jobs published or republished in the last N days. Leave empty for all.

## `sort` (type: `string`):

Most relevant first applies when you search by keywords; without keywords jobs always come newest first. Past the 1,000 most relevant, the remaining matches follow by publication date.

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

Maximum number of jobs to save. 0 = no limit (all matching jobs, also past 1,000).

## `includeDetails` (type: `boolean`):

Also open each job page for the full description, apply link, skills, tools, recruitment process and street address. Charged as an extra event per job.

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

Language of sector, category and skill names and of the job links. Job texts stay in the language they were written in.

## Actor input object example

```json
{
  "query": "data engineer",
  "sort": "relevance",
  "maxItems": 50,
  "includeDetails": false,
  "siteLanguage": "en"
}
```

# Actor output Schema

## `results` (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 = {
    "query": "data engineer",
    "maxItems": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("piotrv1001/welcometothejungle-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 = {
    "query": "data engineer",
    "maxItems": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("piotrv1001/welcometothejungle-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 '{
  "query": "data engineer",
  "maxItems": 50
}' |
apify call piotrv1001/welcometothejungle-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,piotrv1001/welcometothejungle-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/idKL7afguFygwkw0C/builds/zTZL4AHqZsh9iTgZb/openapi.json