# Welcome to the Jungle Jobs Scraper — Salary & Remote (`crawloop/welcome-to-the-jungle-jobs-scraper`) Actor

Welcome to the Jungle Jobs Scraper for public job listings. Search by keyword, city, contract, or remote policy and export title, company, salary, and the job description as JSON.

- **URL**: https://apify.com/crawloop/welcome-to-the-jungle-jobs-scraper.md
- **Developed by:** [Andrej Kiva](https://apify.com/crawloop) (community)
- **Categories:** Jobs, Lead generation, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.99 / 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 — Salary & Remote

> **Disclaimer:** Unofficial tool — not affiliated with, sponsored by, or endorsed by Welcome to the Jungle or its affiliates. Data is read from publicly accessible job-search results only. No login. You are responsible for complying with applicable law (including GDPR where personal data appears) and the site’s terms. No warranty on accuracy or availability. Provided for informational and research use.

**Welcome to the Jungle scraper** for public job listings. A practical **Welcome to the Jungle API alternative**: search by **keyword**, **city**, **country**, **contract**, or **remote** policy, or paste a **search, company, or job URL**. Export **title**, **company**, **city**, **contract**, **salary**, **experience**, and the **job description** as **JSON**, **CSV**, or **Excel**. Fast **HTTP**, **no headless browser**, **no login**. Run it with **Python**, **Node.js**, **cURL**, or **Apify MCP**.

Use it for recruiting coverage, salary checks, and a daily watch of new job ids.

| Actor | Focus |
| :--- | :--- |
| Welcome to the Jungle Jobs Scraper ◄── you are here | Public Welcome to the Jungle listings |
| [France Travail Scraper](https://apify.com/crawloop/france-travail-scraper) | Public France Travail job offers |
| [APEC Jobs Scraper](https://apify.com/crawloop/apec-jobs-scraper) | France cadre jobs and salary |
| [LinkedIn Jobs Scraper](https://apify.com/crawloop/linkedin-jobs-scraper) | Public LinkedIn job listings |
| [InfoJobs Job Scraper](https://apify.com/crawloop/infojobs-jobs-scraper) | Spain job listings |
| [Stepstone Jobs Scraper](https://apify.com/crawloop/stepstone-jobs-scraper) | DACH commercial job board |

### When to use this Actor

- You need a **Welcome to the Jungle scraper** / **WTTJ scraper** that returns structured jobs
- You want **keyword + city + contract + remote** without an employer API key
- You need **salary**, **company**, and the **description** on the same row
- You run a **daily monitor** and only want job ids that were not seen last time

### When not to use this Actor

- **Candidate profiles or CVs** — public job listings only
- **Recruiter inboxes** — the apply form is not submitted
- **Logged-in employer space** — no login
- **The whole board in one query** — the search index stops at 1,000 hits per query. Split by city, contract, or company

### Key features

- Public job index (title, company, office city, salary, remote, contract, listing text)
- Optional job record for the apply link, skills, and a longer description
- City, country, contract, remote, language, yearly salary floor, and minimum experience
- Company slug or a public company URL
- Monitor mode stores seen job ids, sorts newest first, and bills only new rows
- 256 MB HTTP run, proxy off by default

### Input

| Field | What it does |
| :--- | :--- |
| `keyword` | Job title, skill, or words to search |
| `location` | Office city, such as Paris or Berlin |
| `countryCode` | Office country, such as `FR` or `DE` |
| `contractType` | `full_time`, `internship`, `apprenticeship`, `freelance`, and related values |
| `remote` | `fulltime`, `partial`, `punctual`, or `no` |
| `salaryMinYearly` | Keep jobs whose yearly minimum is at least this amount |
| `companySlug` | Company slug from the public company path |
| `sortBy` | `relevance` or `date`. Monitor mode uses date |
| `startUrls` | Search, company, or job URLs. They replace keyword and city |
| `includeDetails` | Fetch the apply link and skills. Default off. One row is still one job |
| `maxItems` / `maxPages` | Caps. Each page has 20 jobs |
| `monitorMode` | Push only new job ids on later runs |

```json
{
  "keyword": "python",
  "location": "Paris",
  "contractType": "full_time",
  "remote": "fulltime",
  "maxItems": 50,
  "proxyConfiguration": { "useApifyProxy": false }
}
```

Search URL example inside a run input:

```json
{
  "startUrls": [
    { "url": "https://www.welcometothejungle.com/en/jobs?query=python&aroundQuery=Paris" }
  ],
  "maxItems": 20
}
```

Monitor example:

```json
{
  "keyword": "data",
  "location": "Lyon",
  "sortBy": "date",
  "monitorMode": true,
  "monitorStoreName": "wttj-lyon-data",
  "maxItems": 50
}
```

### Output

One dataset row is one job.

| Field | Meaning |
| :--- | :--- |
| `jobId` | Company slug and job slug |
| `title`, `company`, `companySlug` | Card identity |
| `city`, `countryCode`, `location` | First office |
| `contractType`, `remote` | Contract and remote policy |
| `salaryText`, `salaryMin`, `salaryMax`, `salaryCurrency`, `salaryPeriod` | Disclosed pay |
| `experience`, `profession`, `sector` | Profile and industry |
| `description` | Listing text from the search result |
| `applyUrl`, `skills` | Present when the job page is opened |
| `publishedAt` | Publish time |
| `url` | Public job page |

```json
{
  "jobId": "example-labs:backend-engineer_paris",
  "title": "Backend Engineer",
  "company": "Example Labs",
  "city": "Paris",
  "countryCode": "FR",
  "contractType": "full_time",
  "remote": "partial",
  "salaryText": "45000–55000 EUR yearly",
  "salaryMin": 45000,
  "salaryMax": 55000,
  "salaryCurrency": "EUR",
  "salaryPeriod": "yearly",
  "profession": "Software Engineer",
  "url": "https://www.welcometothejungle.com/en/companies/example-labs/jobs/backend-engineer_paris"
}
```

### Use cases

- Build a daily list of new Python or product roles in one city
- Compare disclosed yearly pay on full-remote listings
- Feed a recruiting CRM with company, city, contract, and description
- Watch one keyword and skip job ids you already stored

### Integration examples

#### Node.js

```javascript
import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor("crawloop/welcome-to-the-jungle-jobs-scraper").call({
  keyword: "python",
  location: "Paris",
  contractType: "full_time",
  maxItems: 30,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
```

#### Python

```python
from apify_client import ApifyClient

client = ApifyClient()
run = client.actor("crawloop/welcome-to-the-jungle-jobs-scraper").call(run_input={
    "keyword": "data",
    "location": "Lyon",
    "remote": "fulltime",
    "maxItems": 30,
})
items = client.dataset(run["defaultDatasetId"]).list_items().items
print(len(items), items[0].get("salaryText"))
```

#### cURL

```bash
curl "https://api.apify.com/v2/acts/crawloop~welcome-to-the-jungle-jobs-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d "{\"keyword\":\"product manager\",\"location\":\"Berlin\",\"maxItems\":20}"
```

### MCP and AI assistants

Use this Actor from AI tools via [Apify MCP](https://docs.apify.com/platform/integrations/mcp).
Connect your Apify account, then call this Actor by its Store name `crawloop/welcome-to-the-jungle-jobs-scraper`.

Example prompts:

- "Run Welcome to the Jungle Jobs Scraper for python in Paris, full-time, max 20, and return title, company, and salary as JSON"
- "Scrape new data jobs in Lyon with monitor mode and summarize remote policy and city"
- "Chain Welcome to the Jungle Jobs Scraper then France Travail Scraper for the same city"

### Suite next step

For the public employment board in France, run [France Travail Scraper](https://apify.com/crawloop/france-travail-scraper) after this Actor. For cadre and executive listings, run [APEC Jobs Scraper](https://apify.com/crawloop/apec-jobs-scraper).

### FAQ

**Does this use the official employer API?**
No. It reads the public job index. No employer token and no login.

**Where does the salary come from?**
From the search result, when the listing discloses a minimum or a range. The job page is optional and adds the apply link.

**How does monitor mode work?**
Turn on `monitorMode`, set a `monitorStoreName` for that watch, and schedule the run. The first run stores the job ids it sees. Later runs push only ids that are not in that store, newest first, and stop when a page is entirely known.

**Why did a broad query stop near 1,000 jobs?**
The index does not serve hits past 1,000 for one query. Add a city, country, or contract and run another search.

# Actor input Schema

## `keyword` (type: `string`):

Job title or skill (for example python, product manager, data).

## `keywords` (type: `array`):

Each extra keyword is searched separately. Results are deduplicated by job id.

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

Office city as shown on the board (Paris, Lyon, London, Berlin). Matched against the office city.

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

Optional extra cities. Each one is a separate search, combined with each keyword.

## `countryCode` (type: `string`):

ISO country code of the office (FR, US, GB, DE, ES). Leave empty for every country.

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

Optional contract filter.

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

Optional remote policy.

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

Language of the job listing. Empty keeps every language.

## `salaryMinYearly` (type: `integer`):

Keep jobs whose yearly minimum is at least this amount. 0 or empty disables the filter.

## `experienceMinYears` (type: `integer`):

Keep jobs that ask for at least this many years. 0 or empty disables the filter.

## `companySlug` (type: `string`):

Optional company slug from the public company path, such as doctolib.

## `sortBy` (type: `string`):

Relevance matches the public search default. Date puts the newest jobs first. Monitor mode always sorts by date.

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

Optional public search, company, or job URLs. When set, they replace keyword and city. A job URL reads that listing. A company URL reads that company's jobs.

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

Open each job's public record for the apply link, skills, and the longer description. Salary and the listing text are already on the search row. One dataset row is still one job.

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

Maximum job rows across all searches. 0 means no cap other than max pages and the 1,000-hit index ceiling.

## `maxPages` (type: `integer`):

Safety cap. Each page has 20 jobs. The index stops serving results after 1,000 hits per query.

## `monitorMode` (type: `boolean`):

On a schedule, push and charge only job ids not seen in a previous run. The first run is the baseline. Newest jobs first. Stops a search when a page is entirely known.

## `monitorStoreName` (type: `string`):

Named key-value store for seen job ids. Use one name per watch.

## `resetMonitorState` (type: `boolean`):

Clear the seen-job cache before this run.

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

Leave proxy off. The public job index answers without a proxy. Enable one only if you see HTTP 403 or 429.

## Actor input object example

```json
{
  "keyword": "python",
  "location": "Paris",
  "contractType": "",
  "remote": "",
  "language": "",
  "sortBy": "relevance",
  "includeDetails": false,
  "maxItems": 50,
  "maxPages": 5,
  "monitorMode": false,
  "monitorStoreName": "welcome-to-the-jungle-jobs-monitor",
  "resetMonitorState": false,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

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

Default dataset items.

# 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 = {
    "keyword": "python",
    "location": "Paris",
    "proxyConfiguration": {
        "useApifyProxy": false
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("crawloop/welcome-to-the-jungle-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 = {
    "keyword": "python",
    "location": "Paris",
    "proxyConfiguration": { "useApifyProxy": False },
}

# Run the Actor and wait for it to finish
run = client.actor("crawloop/welcome-to-the-jungle-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 '{
  "keyword": "python",
  "location": "Paris",
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}' |
apify call crawloop/welcome-to-the-jungle-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,crawloop/welcome-to-the-jungle-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/cpawqQmI6XCU8ATWh/builds/cYCgwrSVlAAvSgkXQ/openapi.json