# Welcome to the Jungle Jobs Scraper (WTTJ) (`datasmithlab/wttj-jobs-scraper`) Actor

Welcome to the Jungle jobs with salary, remote policy and contract type on every row. Filter by country, sector and experience; optional full job descriptions and an only-new-jobs mode for scheduled monitoring.

- **URL**: https://apify.com/datasmithlab/wttj-jobs-scraper.md
- **Developed by:** [Datasmithlab](https://apify.com/datasmithlab) (community)
- **Categories:** Jobs
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.60 / 1,000 job listings

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

## Welcome to the Jungle Jobs Scraper

Fast, clean job listings from **Welcome to the Jungle** (88,000+ jobs, FR / US / GB / CA / DE / ES and more). No browser, no proxy, no login.

### What you get

Title, company, locations, contract type, remote policy, **salary range and currency**, experience, sectors, benefits, summary, key missions, publish date and direct URL.

### Features

- Filters (dropdowns in the form): keywords, country, contract type, remote policy, industry sector, min/max experience, minimum yearly salary, publish window.
- **Full details mode** (optional): complete job description, candidate profile, hiring process, skills, tools, apply link, company size and website.
- **Only new jobs since last run**: schedule it daily and receive just the fresh listings.
- No 1,000-result cap: large searches are split automatically.
- Self-check: every run stores a health report (`HEALTH`) and warns if the site layout seems to have changed.

### Pricing

Pay only for what you use:

- **$0.005** per run start
- **$1.00 per 1,000 jobs** ($0.001 each)
- **+$2.00 per 1,000 jobs** with *Include full details* turned on ($0.002 each). Jobs whose details could not be retrieved are not charged for details.

Example: 500 jobs with full details = $0.005 + $0.50 + $1.00 = about $1.51.

### Example input

```json
{"query": "data engineer", "countries": ["FR", "DE"], "contractTypes": ["full_time"], "minYearlySalary": 50000, "maxItems": 500}
```

### Output example

```json
{"title": "Data Engineer", "company": "Acme", "locations": ["Paris, France"], "contractType": "full_time",
 "remote": "partial", "salaryMin": 50000, "salaryMax": 60000, "salaryCurrency": "EUR",
 "sectors": ["Software"], "experienceYearsMin": 3,
 "publishedAt": "2026-10-04T14:57:21Z", "url": "https://www.welcometothejungle.com/en/companies/acme/jobs/..."}
```

### Notes

- Only publicly listed job data is collected. No personal data about recruiters or candidates.
- Not affiliated with or endorsed by Welcome to the Jungle. Please use the data in line with applicable laws and the website's terms.
- Found a bug or need an extra field? Open an issue in the Issues tab.

# Actor input Schema

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

e.g. "data engineer". Leave empty for all jobs.

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

Language of job texts.

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

Leave empty for all countries.

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

Leave empty for all.

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

Leave empty for all.

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

Leave empty for all.

## `experienceMin` (type: `integer`):

Only jobs asking for at least this many years. Jobs that do not state experience are excluded when this is set.

## `experienceMax` (type: `integer`):

Only jobs asking for at most this many years (0 = entry level). Jobs that do not state experience are excluded when this is set.

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

Only jobs that state a yearly salary of at least this amount. Most jobs do not state salary, so results shrink a lot.

## `publishedWithinDays` (type: `integer`):

Only jobs published in the last N days.

## `onlyNewSinceLastRun` (type: `boolean`):

Returns only jobs published after your previous run with the same filters. Ideal for scheduled monitoring.

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

Adds the full job description, candidate profile, hiring process, skills, tools, apply link and company size/website. Slower and billed as an extra event per job.

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

Stop after this many jobs.

## Actor input object example

```json
{
  "query": "python",
  "language": "en",
  "publishedWithinDays": 30,
  "onlyNewSinceLastRun": false,
  "includeDetails": false,
  "maxItems": 100
}
```

# Actor output Schema

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

Job listings (table view, JSON/CSV/Excel export available).

## `allFields` (type: `string`):

Every field of every job, including full details when enabled.

## `health` (type: `string`):

Empty-field ratios and missing-detail counts; a quick check that the source site layout has not changed.

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("datasmithlab/wttj-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("datasmithlab/wttj-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 '{}' |
apify call datasmithlab/wttj-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,datasmithlab/wttj-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/lMqh04PASqS5wVIJg/builds/S4dgplOvmYQnH6OfZ/openapi.json