# Welcome to the Jungle Jobs & Tech Salaries Scraper (`lepone31/welcometothejungle-jobs-scraper`) Actor

Fast extraction of tech & startup jobs, disclosed salary ranges, remote policies, contract types (CDI/Freelance), and company profiles from Welcome to the Jungle at $3.00/1k.

- **URL**: https://apify.com/lepone31/welcometothejungle-jobs-scraper.md
- **Developed by:** [Cedric poma](https://apify.com/lepone31) (community)
- **Categories:** Lead generation, Business, Automation
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$3.00 / 1,000 welcome to the jungle 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 & Tech Salaries Scraper

> Fast, reliable extraction of tech jobs, disclosed salary ranges, remote work policies, contract types (CDI, Freelance, Internships), and company profiles from Welcome to the Jungle across France & Europe.

***

### ⚡ What Does This Actor Do?

**Welcome to the Jungle (WTTJ)** is the leading employer branding and recruitment platform for startups, scale-ups, and technology companies across France and Europe (featuring thousands of top employers like Doctolib, Alan, Qonto, Payfit, BlaBlaCar, Swile, Mistral AI, etc.).

This Actor provides direct, high-speed access to WTTJ job postings:

- **Search by Keywords or Specific Companies**: Extract postings for specific roles (e.g. `Data Engineer`, `Python`, `Product Manager`, `DevOps`) or pull open roles directly from target company slugs (e.g. `doctolib`, `alan`, `qonto`).
- **Transparent Salary Data**: Extract disclosed minimum and maximum compensation ranges, currencies, and pay periods (yearly/monthly) for salary benchmarking.
- **Remote Work Policies**: Accurately categorize remote flexibility (`100% Remote`, `Hybrid`, or `On-site only`).
- **Contract Types**: Filter and normalize contract types (CDI / Full-time, CDD, Internship / Stage, Alternance, Freelance).
- **Company Profiles & Headcount**: Company name, slug, employee headcount, founding year, logo, and careers page URL.
- **Aggregated Market Analytics**: Includes an aggregate `jobsSummary` record with median salaries, remote policy breakdown, and top hiring employers.

***

### 💡 Top Use Cases

1. **Recruitment & Executive Search Agencies**: Automatically aggregate new startup and scale-up openings into your ATS or CRM (Hubspot, Notion, Airtable).
2. **Compensation & Tech Salary Benchmarking**: Analyze market compensation rates across software engineering, data science, and product roles.
3. **Lead Generation for B2B Services**: Identify fast-growing scale-ups that are actively hiring developers and sales executives.
4. **Automated Discord / Slack Job Alerts**: Connect via Make, Zapier, or n8n to notify your tech community of new 100% remote positions.

***

### 📥 Input Parameters

| Parameter | Type | Default | Description |
| :--- | :--- | :--- | :--- |
| `searchQueries` | Array of Strings | `["Data Engineer", "Python"]` | Job titles or technical skills to search. |
| `companies` | Array of Strings | `[]` | Specific company slugs (e.g. `["doctolib", "alan", "qonto"]`). |
| `locations` | Array of Strings | `[]` | Filter by office cities (e.g. `["Paris", "Lyon", "Nantes", "Bordeaux"]`). |
| `contractTypes` | Array of Strings | `["full_time"]` | Filter: `full_time` (CDI), `internship` (Stage), `apprenticeship` (Alternance), `freelance`. |
| `remoteFilters` | Array of Strings | `[]` | Filter: `full` (100% remote), `partial` (hybride), `no` (sur site). |
| `onlyWithSalary` | Boolean | `false` | Only extract job postings with disclosed salary figures. |
| `country` | String | `"FR"` | Region index: `"FR"` (France), `"GB"` (UK / International), `"ES"` (Spain), `"CZ"` (Czech). |
| `maxJobsPerQuery` | Integer | `30` | Maximum jobs to collect per query or company (1 to 200). |
| `includeSummary` | Boolean | `true` | Include an aggregate `jobsSummary` record. |

***

### 📤 Output Format

#### 1. Normalized Job Posting Record (`job`)

```json
{
  "recordType": "job",
  "id": "893741",
  "title": "Senior Data Engineer",
  "companyName": "Sancare",
  "companySlug": "sancare",
  "companyEmployees": 65,
  "companyCreationYear": 2016,
  "contractType": "full_time",
  "contractTypeLabel": "CDI (Temps plein)",
  "remote": "partial",
  "remoteLabel": "Télétravail partiel (Hybride)",
  "hasSalary": true,
  "salaryMinimum": 61000.0,
  "salaryMaximum": 71000.0,
  "salaryYearlyMinimum": 61000.0,
  "salaryCurrency": "EUR",
  "salaryPeriod": "yearly",
  "salarySummary": "61 000 € - 71 000 € / an",
  "city": "Paris",
  "country": "France",
  "sectors": ["Health", "SaaS / Cloud Services", "Big Data"],
  "publishedAt": "2026-11-02T10:15:00Z",
  "jobUrl": "https://www.welcometothejungle.com/fr/companies/sancare/jobs/senior-data-engineer_paris",
  "companyUrl": "https://www.welcometothejungle.com/fr/companies/sancare"
}
```

#### 2. Aggregated Salary & Market Summary (`jobsSummary`)

```json
{
  "recordType": "jobsSummary",
  "totalJobsScraped": 45,
  "jobsWithSalaryCount": 22,
  "jobsWithSalaryShare": 0.489,
  "medianSalaryYearly": 55000.0,
  "averageSalaryYearly": 57400.0,
  "topHiringCompanies": [
    { "name": "Sancare", "count": 4 },
    { "name": "Doctolib", "count": 3 }
  ],
  "remoteDistribution": [
    { "type": "Télétravail partiel (Hybride)", "count": 32 },
    { "type": "Télétravail total (100% remote)", "count": 10 },
    { "type": "Sur site uniquement", "count": 3 }
  ],
  "contractDistribution": [
    { "type": "CDI (Temps plein)", "count": 45 }
  ],
  "scrapedAt": "2026-11-02T19:15:00Z"
}
```

***

### 💰 Pay-Per-Event Pricing

- **$0.0030 per extracted job posting**.
- **Free Overview Summary**: The aggregated salary and market distribution record is included free of charge.
- **Instant Execution**: Runs in 1-3 seconds with minimal compute overhead.

# Actor input Schema

## `searchQueries` (type: `array`):

Keywords or job titles to search (e.g. 'Data Engineer', 'Python', 'Product Manager', 'DevOps', 'Sales', 'Account Executive'). Leave empty if scraping specific companies.

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

Target specific company career pages on WTTJ (e.g. 'doctolib', 'alan', 'qonto', 'payfit', 'bla-bla-car', 'swile').

## `locations` (type: `array`):

Filter by office cities (e.g. 'Paris', 'Lyon', 'Nantes', 'Bordeaux', 'Toulouse', 'London', 'Madrid').

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

Filter by contract: 'full_time' (CDI), 'part_time' (CDD), 'internship' (Stage), 'apprenticeship' (Alternance), 'freelance' (Indépendant).

## `remoteFilters` (type: `array`):

Filter by remote policy: 'full' (100% Remote / Télétravail total), 'partial' (Hybride), 'no' (Sur site uniquement).

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

Only keep job offers with transparent salary ranges (useful for compensation benchmarks).

## `country` (type: `string`):

Target country index: 'FR' (France), 'GB' (United Kingdom / International), 'ES' (Spain), 'CZ' (Czech Republic).

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

Maximum number of jobs to collect per query or company (1 to 200).

## `includeSummary` (type: `boolean`):

Whether to output a 'jobsSummary' record with median salary, remote policy breakdown, and top hiring companies.

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

Optional proxy settings. Welcome to the Jungle Algolia endpoints are accessible directly without proxies.

## Actor input object example

```json
{
  "searchQueries": [
    "Data Engineer",
    "Python"
  ],
  "companies": [],
  "locations": [],
  "contractTypes": [
    "full_time"
  ],
  "remoteFilters": [],
  "onlyWithSalary": false,
  "country": "FR",
  "maxJobsPerQuery": 30,
  "includeSummary": true
}
```

# Actor output Schema

## `overview` (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 = {
    "searchQueries": [
        "Data Engineer",
        "Python"
    ],
    "contractTypes": [
        "full_time"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("lepone31/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 = {
    "searchQueries": [
        "Data Engineer",
        "Python",
    ],
    "contractTypes": ["full_time"],
}

# Run the Actor and wait for it to finish
run = client.actor("lepone31/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 '{
  "searchQueries": [
    "Data Engineer",
    "Python"
  ],
  "contractTypes": [
    "full_time"
  ]
}' |
apify call lepone31/welcometothejungle-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,lepone31/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/7qhHuxRHHBDDL04dK/builds/j5uIPUNkUrAJcwKO8/openapi.json