# Welcome to the Jungle Scraper - EU Jobs & Salaries (`scrapesage/welcome-to-the-jungle-scraper`) Actor

Scrape Welcome to the Jungle jobs across Europe with salary range, contract type, remote policy, experience level, office location, sectors and full company details.

- **URL**: https://apify.com/scrapesage/welcome-to-the-jungle-scraper.md
- **Developed by:** [Scrape Sage](https://apify.com/scrapesage) (community)
- **Categories:** Jobs, Lead generation, Agents
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$3.00 / 1,000 job scrapeds

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/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Welcome to the Jungle Scraper - EU Jobs & Salaries

Scrape **Welcome to the Jungle** — Europe's largest startup and scale-up job platform, with **~90,000 live jobs** — including **published salary ranges**, contract type, remote policy, seniority and full company context. **No login, no cookies.**

Strong across France, Spain, Belgium, Czechia, Slovakia and beyond.

***

### What you get

One row per job, every row carrying the same fields:

| Field | What it is |
|---|---|
| `title`, `jobUrl`, `jobId`, `slug` | The role and its canonical link |
| `organizationName`, `organizationUrl`, `organizationDescription` | The hiring company |
| `contractType`, `contractTypeName` | `FULL_TIME` plus the localised label (e.g. "CDI") |
| `salaryMin`, `salaryMax`, `salaryCurrency`, `salaryPeriod`, `salaryYearlyMin` | Published pay |
| `remote`, `isRemote` | `no` / `punctual` / `partial` / `fulltime` |
| `experienceLevelMin`, `educationLevel` | Seniority requirements |
| `city`, `district`, `state`, `country`, `countryCode` | Office location |
| `latitude`, `longitude` | Geo coordinates |
| `sectors`, `profession`, `department` | Industry and role classification |
| `publishedAt` | ISO 8601 timestamp |
| `profileText` | The role description |

### Filters

`queries` · `countryCodes` · `contractTypes` · `remoteOnly` · `onlyWithSalary` · `minYearlySalary` · `language`

Leave **Search terms empty** to take everything matching your filters — that's the fastest way to bulk-collect.

***

### Example input

```json
{
  "queries": ["developer"],
  "countryCodes": ["FR", "ES"],
  "remoteOnly": true,
  "onlyWithSalary": true,
  "maxResults": 500,
  "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }
}
```

### Example output

```json
{
  "type": "job",
  "title": "Responsable Marketing (H/F)",
  "organizationName": "Additi",
  "organizationUrl": "https://www.welcometothejungle.com/fr/companies/additi",
  "contractType": "FULL_TIME",
  "contractTypeName": "Full-Time",
  "salaryCurrency": "EUR",
  "salaryMin": 40000,
  "salaryPeriod": "yearly",
  "experienceLevelMin": 5,
  "educationLevel": "BAC_5",
  "remote": "no",
  "city": "Rennes",
  "state": "Brittany",
  "country": "France",
  "sectors": ["IT / Digital", "Marketing / Communication"],
  "publishedAt": "2026-08-07T17:00:00.000Z"
}
```

***

### Pricing

**$0.003 per job.** You are charged only for rows actually delivered. A search that matches nothing costs **$0** and tells you why.

### Honest limits

These are Welcome to the Jungle's own data gaps, measured on 100 raw records — not parser misses:

- **Salary is published on ~33% of listings.** Use `onlyWithSalary: true` to keep just those. Never defaulted to 0, because that would quietly corrupt a salary benchmark.
- `experienceLevelMin` ~53% · `educationLevel` ~40% · `department` ~14% · `profession` ~12% · company description ~60%.
- **Localised fields** (sectors, contract labels, company description) come in five languages; pick one with `language` and the actor falls back sensibly when your choice is missing.

### Tips

- Empty `queries` + a country filter is the highest-yield setup — one run pulled **1,000 jobs in 67 seconds**.
- For comp benchmarking: `onlyWithSalary: true` and read `salaryYearlyMin`, which is normalised to a yearly figure regardless of how the employer quoted it.
- Every job carries its company, so this doubles as a **hiring-intent lead list** for European startups — filter to a country and dedupe on `organizationSlug`.

### Related actors

- **Wellfound Scraper** — US/global startup jobs with salary and equity
- **LinkedIn Jobs Scraper** — filter-based, no login
- **Bayt Scraper** — the same job across the Middle East and North Africa

# Actor input Schema

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

Job titles or keywords. Leave empty to take every job matching your other filters - Welcome to the Jungle indexes about 90,000.

## `countryCodes` (type: `array`):

Two-letter country codes to filter offices by, e.g. FR, ES, BE, DE, GB, US. Leave empty for all countries.

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

Filter by contract type.

## `remoteOnly` (type: `boolean`):

Keep only roles with a remote policy of full, partial or occasional.

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

Welcome to the Jungle publishes a salary range on a minority of listings. Turn this on to keep only those.

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

Drop jobs whose yearly minimum is below this. 0 disables the filter. Note that this also drops every job with no published salary.

## `language` (type: `string`):

Which language to resolve localised fields into (sectors, contract names, company description).

## `hitsPerPage` (type: `integer`):

Higher means fewer requests.

## `maxPagesPerQuery` (type: `integer`):

How deep to page for each search term.

## `maxResults` (type: `integer`):

Total cap across every search. Set 0 for no limit (explicit opt-in).

## `algoliaAppId` (type: `string`):

Only needed if Welcome to the Jungle rotates the public search credentials their own website uses. Leave empty otherwise.

## `algoliaSearchKey` (type: `string`):

Only needed if Welcome to the Jungle rotates the public search credentials their own website uses. Leave empty otherwise.

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

A residential proxy is recommended.

## Actor input object example

```json
{
  "queries": [
    "developer",
    "product manager"
  ],
  "countryCodes": [
    "FR",
    "ES"
  ],
  "contractTypes": [
    "FULL_TIME"
  ],
  "remoteOnly": false,
  "onlyWithSalary": false,
  "minYearlySalary": 0,
  "language": "en",
  "hitsPerPage": 100,
  "maxPagesPerQuery": 10,
  "maxResults": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `results` (type: `string`):

Every scraped job as a JSON item in the default dataset.

# 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 = {
    "countryCodes": [
        "FR"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapesage/welcome-to-the-jungle-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 = { "countryCodes": ["FR"] }

# Run the Actor and wait for it to finish
run = client.actor("scrapesage/welcome-to-the-jungle-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 '{
  "countryCodes": [
    "FR"
  ]
}' |
apify call scrapesage/welcome-to-the-jungle-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapesage/welcome-to-the-jungle-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/xbDUIrkKpHm4F0VJM/builds/0c1EQEB4LCjcnH6yp/openapi.json