# Welcome to the Jungle Jobs, With the Salary Read Right (`gubidonius/wttj-jobs`) Actor

All 88,651 adverts on Welcome to the Jungle: salary, remote policy, benefits, profession, and the employer's own application link. A quarter of salaried adverts are quoted per month, so the raw number understates them twelvefold. This one publishes the period beside it.

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

## Pricing

Pay per event

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?

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 Jobs, With the Salary Read Right

Every advert on Welcome to the Jungle: salary, remote policy, benefits, contract, profession,
skills, the full advert text and the employer's own application link. No key and no login.

### The salary column most tools get wrong

The site publishes two salary numbers and they are not the same number. `salary_minimum` is
what the employer quoted, and `salary_period` says whether that is a year or a month.
`salary_yearly_minimum` is the site's own annual figure.

Measured on 500 salaried adverts on 7 September 2026: 129 of them, 25.8 percent, are quoted per
month. On a run of 120 apprenticeships, 29 of the 46 with a salary were monthly. Read the
quoted number as an annual salary and those adverts are understated twelvefold.

So both are published here. `salaryMin` and `salaryMax` are the quoted numbers, `salaryPeriod`
says what they mean, and `salaryYearlyMin` is the one to sort and filter on. Nothing is
annualised that the site did not annualise itself.

### The 1,000 result ceiling

The board is an Algolia index and Algolia will not serve a result past number 1,000. Ask for
hit 1,001 and it answers HTTP 200 with an empty list and a total of zero, which is what a
finished search looks like.

There were 88,651 adverts on 7 September 2026. This Actor never asks for the page that lies. A
search bigger than the ceiling is cut into cells on the profession, the contract type and the
language until each one fits, with the counts measured inside each cell rather than guessed,
and one extra cell per level for whatever matched none of the values.

### Two fields that are not what they look like

`key_missions`, the three bullet points the site distils an advert into, is on the search
record and is an empty list on the advert's own page. Read from the page it would be an empty
column on every row.

The site's `ats` field takes two values, `external` and `wkit`, and neither is a vendor. It
says whether the application is handled on Welcome to the Jungle or handed to the employer. The
vendor is in the hostname of the application link, so that is where `applyHost` comes from.

### What a run admits

Every row carries `searchTotalReported`, the count the site's own search gave for your filter,
in adverts. `RUN_SUMMARY` in the key-value store holds every cell with what it reported, what
it returned and why it stopped, plus `complete`, `limitedBy`, `duplicatesSuppressed` and how
many of your rows were quoted in a period other than yearly.

### Billing

Two events: a start fee charged only once adverts are returned, and a per-advert fee charged
after each advert is written. A run that matches nothing costs nothing.

# Actor input Schema

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

Words to look for in advert titles, company names and summaries. This is a search and not a filter: it is typo tolerant and ranks by relevance. Leave it empty to walk the whole board.

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

The site's own slugs, not display words: full\_time, internship, apprenticeship, temporary, freelance, part\_time, vie, other. There are 11 and every value is checked against the live list before the search runs.

## `remotePolicies` (type: `array`):

One or more of fulltime, partial, punctual, no, unknown. unknown is by far the biggest at 38,043 of 88,651 adverts, and it means the employer said nothing rather than that remote work is refused.

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

Two-letter ISO codes of the office the job is in, for example FR, ES, DE, GB, US. This is a French site and most adverts are FR.

## `cities` (type: `array`):

City names exactly as the site writes them, for example Paris, Lyon, Madrid, London. Accents matter and are checked against the live list.

## `professionCategories` (type: `array`):

The 20 top-level families, written as the site's reference slugs, for example tech-engineering-3NjUy, sales-2NDcz, marketing-communication-1MzYy. Every value is checked against the live list, which is also the fastest way to see the real spellings.

## `professions` (type: `array`):

The 179 narrower professions, as reference slugs, for example data-business-intelligence-yZjY1. This is the filter that cuts the board most finely.

## `companySlugs` (type: `array`):

Watch named employers, using the last part of their Welcome to the Jungle profile URL, for example algolia or doctolib. 1,551 companies had an open advert on 7 September 2026.

## `educationLevels` (type: `array`):

French qualification levels as the site writes them: no\_diploma, cap, bep, bac, bac\_1, bac\_2, bac\_3, bac\_4, bac\_5, phd. Only 19,544 of 88,651 adverts state one at all, so setting this excludes the rest.

## `benefits` (type: `array`):

Benefits the employer declares, written out in English, for example "Generous PTO", "Mental health benefits", "Bicycle storage". There are 83 of them.

## `currencies` (type: `array`):

One or more of EUR, USD, GBP. Only adverts that publish a salary carry one.

## `withSalaryOnly` (type: `boolean`):

Keep only adverts with a salary figure. 28,717 of 88,651 have one, which is far above what most job boards publish.

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

A floor applied to the site's own annual figure, never to the raw quoted number. A quarter of salaried adverts are quoted per month, so comparing 3,000 a month against a floor of 40,000 a year would throw away the job it should keep.

## `minExperienceYears` (type: `integer`):

Lowest value of the experience the advert asks for. 55,894 of 88,651 adverts state one, and the rest are excluded when you set this.

## `maxExperienceYears` (type: `integer`):

Highest value of the experience the advert asks for. Set this to 1 to find entry-level roles.

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

Only adverts published this recently. Measured on 7 September 2026: 1,952 adverts were published in the last day and 81,970 in the last week.

## `fullAdvert` (type: `boolean`):

Adds the employer's own application link, the applicant tracking system behind it, the full advert text, the candidate profile, the skills and the tools. None of those are on the search record. Costs one extra request per advert and no extra money.

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

There is one search index per site language holding the same adverts with localised profession and skill names. This picks the index and the display language together, so they cannot disagree.

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

Upper bound on adverts for the WHOLE run, across every filter and every cell of the search. You are never charged for more than this.

## Actor input object example

```json
{
  "query": "",
  "contractTypes": [],
  "remotePolicies": [],
  "countries": [],
  "cities": [],
  "professionCategories": [],
  "professions": [
    "data-business-intelligence-yZjY1"
  ],
  "companySlugs": [],
  "educationLevels": [],
  "benefits": [],
  "currencies": [
    "EUR"
  ],
  "withSalaryOnly": false,
  "fullAdvert": true,
  "language": "en",
  "maxResults": 50
}
```

# Actor output Schema

## `results` (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 = {
    "query": "",
    "contractTypes": [],
    "remotePolicies": [],
    "countries": [],
    "cities": [],
    "professionCategories": [],
    "professions": [
        "data-business-intelligence-yZjY1"
    ],
    "companySlugs": [],
    "educationLevels": [],
    "benefits": [],
    "currencies": [
        "EUR"
    ],
    "language": "en",
    "maxResults": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("gubidonius/wttj-jobs").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 = {
    "query": "",
    "contractTypes": [],
    "remotePolicies": [],
    "countries": [],
    "cities": [],
    "professionCategories": [],
    "professions": ["data-business-intelligence-yZjY1"],
    "companySlugs": [],
    "educationLevels": [],
    "benefits": [],
    "currencies": ["EUR"],
    "language": "en",
    "maxResults": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("gubidonius/wttj-jobs").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 '{
  "query": "",
  "contractTypes": [],
  "remotePolicies": [],
  "countries": [],
  "cities": [],
  "professionCategories": [],
  "professions": [
    "data-business-intelligence-yZjY1"
  ],
  "companySlugs": [],
  "educationLevels": [],
  "benefits": [],
  "currencies": [
    "EUR"
  ],
  "language": "en",
  "maxResults": 50
}' |
apify call gubidonius/wttj-jobs --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,gubidonius/wttj-jobs"
        }
    }
}
```

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/VtbRuLRl76YaJqkrB/builds/9mvq1D2W4osv5xRsl/openapi.json