# Welcome to the Jungle Job Scraper (`scrapeai/jungle-job-scraper`) Actor

Extract comprehensive job listings from Welcome to the Jungle with job titles, companies, locations, salaries, contract types, and full job descriptions.

- **URL**: https://apify.com/scrapeai/jungle-job-scraper.md
- **Developed by:** [ScrapeAI](https://apify.com/scrapeai) (community)
- **Categories:** Jobs, Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.99 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#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 (WTTJ) Job Scraper

High-performance, reliable Apify actor to scrape rich, comprehensive job listings from Welcome to the Jungle (welcometothejungle.com) across international (English) and France (French) job portals.

### Features

- **Keyword & Location Search** — Fast direct querying using Algolia index search for maximum speed and freshness.
- **Direct Job URL Scraping** — Extract complete details and JSON-LD schema from specific job URLs.
- **Multi-Language Support** — Supports English (`en`) and French (`fr`) domains.
- **Rich Data Fields** — Extracts job titles, company profiles, locations, contract types, remote options, salary ranges, full mission descriptions, benefits, industries, professions, tags, and company logos.
- **Smart Filtering** — Filter by contract type (`full_time`, `part_time`, `internship`, `freelance`), remote level (`fulltime`, `partial`, `no`), and minimum experience.
- **Strict Limit Enforcement** — Tracks item counts and cleanly stops immediately when `maxJobs` is reached.
- **Cloud & Proxy Ready** — Full support for Apify datacenter and residential proxies.

### Input Parameters

| Field | Type | Default | Description |
|---|---|---|---|
| `mode` | `string` | `"search"` | Scraping mode: `"search"` or `"jobUrl"` |
| `keywords` | `string` | `"frontend developer"` | Job title or search keywords |
| `location` | `string` | `""` | Target city or country location |
| `language` | `string` | `"en"` | Language domain: `"en"` (International) or `"fr"` (France) |
| `contractType` | `string` | `""` | Filter by contract: `"full_time"`, `"part_time"`, `"internship"`, `"freelance"`, `"temporary"` |
| `remote` | `string` | `""` | Filter by remote: `"fulltime"`, `"partial"`, `"no"` |
| `experienceLevel` | `string` | `""` | Minimum years of experience (`"0"`, `"1"`, `"2"`, `"3"`, `"5"`, `"8"`) |
| `maxJobs` | `integer` | `50` | Maximum number of job listings to extract |
| `startUrls` | `array` | `[]` | List of direct WTTJ job URLs (when `mode: "jobUrl"`) |
| `proxyConfiguration` | `object` | Residential | Proxy settings |

### Output Schema

Each record in the dataset is structured as comprehensive JSON:

| Field | Type | Description |
|---|---|---|
| `jobId` | `string` | Unique identifier for the job listing |
| `title` | `string` | Job listing title |
| `company` | `string` | Hiring company name |
| `companyUrl` | `string` | URL to company profile on Welcome to the Jungle |
| `companySize` | `string` | Number of employees |
| `location` | `string` | City, region, or country |
| `contractType` | `string` | Contract type (e.g. `full_time`, `contract`) |
| `remote` | `string` | Remote work arrangement (`fulltime`, `partial`, `no`) |
| `experienceLevel` | `string` | Minimum experience required (in years) |
| `salary` | `string` | Formatted compensation string |
| `salaryMin` | `number` | Minimum salary |
| `salaryMax` | `number` | Maximum salary |
| `salaryCurrency` | `string` | Currency code (e.g. `EUR`, `GBP`, `USD`) |
| `salaryPeriod` | `string` | Period (e.g. `yearly`, `monthly`) |
| `description` | `string` | Full description summary and key missions |
| `benefits` | `array` | List of company perks and benefits |
| `industry` | `string` | Industry sector |
| `profession` | `string` | Profession classification |
| `logoUrl` | `string` | Company logo image URL |
| `postedDate` | `string` | ISO 8601 publication timestamp |
| `jobUrl` | `string` | Direct URL to the job posting |
| `tags` | `array` | Sectors and skill tags |
| `scrapedAt` | `string` | Timestamp when scraped |

#### Sample Output

```json
{
  "jobId": "f7ed2f83-573c-4664-802c-de9e38703fed",
  "title": "Senior Frontend Engineer - Remote Europe",
  "company": "Reedsy",
  "companyUrl": "https://www.welcometothejungle.com/en/companies/reedsy",
  "companySize": "21",
  "location": "London, England, United Kingdom",
  "contractType": "full_time",
  "remote": "fulltime",
  "experienceLevel": "3",
  "salary": "60,000–90,000 GBP / yearly",
  "salaryMin": 60000,
  "salaryMax": 90000,
  "salaryCurrency": "GBP",
  "salaryPeriod": "yearly",
  "description": "Join Reedsy, a platform dedicated to providing authors with the tools and resources they need to create beautiful books.\n\nDevelop high quality, responsive, mobile-friendly Vue.js applications.",
  "benefits": [
    "Remote work allowance",
    "Paid parental leave",
    "Annual team retreat"
  ],
  "industry": "Culture / Media / Entertainment",
  "profession": "Front-end Developer",
  "logoUrl": "https://cdn-images.welcometothejungle.com/logo.png",
  "postedDate": "2026-08-22T22:00:13Z",
  "jobUrl": "https://www.welcometothejungle.com/en/companies/reedsy/jobs/senior-frontend-engineer-remote-europe_london",
  "tags": [
    "Media",
    "Education"
  ],
  "scrapedAt": "2026-08-24T10:14:00.038Z"
}
```

# Actor input Schema

## `mode` (type: `string`):

Scraping mode: search by keyword or provide direct URLs

## `keywords` (type: `string`):

Job title or keywords (e.g. 'frontend developer', 'product manager')

## `location` (type: `string`):

City or region (e.g. Paris, London, Remote)

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

Welcome to the Jungle language/region

## `startUrls` (type: `array`):

Direct WTTJ job URLs to scrape (mode: jobUrl)

## `contractType` (type: `string`):

Filter jobs by contract type (e.g. full-time, internship)

## `remote` (type: `string`):

Filter by remote work availability

## `experienceLevel` (type: `string`):

Filter by required experience level

## `maxJobs` (type: `integer`):

Maximum number of jobs to scrape

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

Proxy configuration for the crawler (RESIDENTIAL recommended)

## Actor input object example

```json
{
  "mode": "search",
  "keywords": "frontend developer",
  "language": "en",
  "contractType": "",
  "remote": "",
  "experienceLevel": "",
  "maxJobs": 50,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `dataset` (type: `string`):

Dataset containing all scraped Welcome to the Jungle job listings

# 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 = {
    "keywords": "frontend developer"
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapeai/jungle-job-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 = { "keywords": "frontend developer" }

# Run the Actor and wait for it to finish
run = client.actor("scrapeai/jungle-job-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 '{
  "keywords": "frontend developer"
}' |
apify call scrapeai/jungle-job-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapeai/jungle-job-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/s88fOCm3i3paWlJyr/builds/EnvDSlZGFZYrW2seT/openapi.json