# Meteojob Jobs Scraper (France) (`praguedatalab/meteojob-jobs-scraper`) Actor

Meteojob jobs scraper: title, company, city, département, contract (CDI, CDD, intérim), salary range, remote, date and link from meteojob.com. $0.70 per 1,000 jobs.

- **URL**: https://apify.com/praguedatalab/meteojob-jobs-scraper.md
- **Developed by:** [Prague Data Lab](https://apify.com/praguedatalab) (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

$0.70 / 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.

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

## Meteojob Jobs Scraper (France)

Scrape **Meteojob** (meteojob.com) job listings into a clean dataset: title, company, city, département, contract type, salary, remote policy, publication date and link. One row per job, $0.70 per 1,000 jobs, no login, no proxy needed.

### Quick start

```json
{
    "keywords": "commercial",
    "location": "Lyon",
    "contractTypes": [
        "CDI"
    ],
    "maxItems": 100
}
```

### Output example

```json
{
    "title": "Conseiller commercial CDI H/F",
    "company": "Complétude",
    "city": "Lyon",
    "department": "69",
    "region": null,
    "contractType": "CDI",
    "remote": null,
    "salaryMin": 2314,
    "salaryMax": 2514,
    "salaryPeriod": "month",
    "publishedAt": "2026-10-18",
    "url": "https://www.meteojob.com/jobs/57335379",
    "source": "meteojob"
}
```

### What you get

| Field | Example |
|---|---|
| `title` | Comptable Général (H/F) |
| `company` | Comet Meetings |
| `city`, `department`, `region` | Paris, 75, Île-de-France |
| `contractType` | CDI · CDD · INTERIM · FREELANCE · STAGE · ALTERNANCE · OTHER |
| `remote` | full · partial · none · null |
| `salaryMin`, `salaryMax`, `salaryPeriod` | 30000, 38000, year |
| `publishedAt` | 2026-10-15 |
| `description` | Full text (optional, see `includeDescription`) |
| `url`, `companyUrl`, `logo` | Links to the original listing and employer page |
| `source`, `sourceId` | `meteojob` |

Every field is described in the dataset schema (Output tab).

### Input

| Field | Type | Default | Notes |
|---|---|---|---|
| `keywords` | string | required | Job title, skill or free text, French or English |
| `location` | string | empty = all France | City, département or region |
| `contractTypes` | array | all | `CDI`, `CDD`, `INTERIM`, `FREELANCE`, `STAGE`, `ALTERNANCE`, `OTHER` |
| `remote` | string | `any` | `remote_any` (partial or full), `full_remote` |
| `maxItems` | integer | 100 | Maximum listings (1 to 5000) |
| `includeDescription` | boolean | false | Opens each job page for the full text (slower) |
| `dedupe` | boolean | true | Remove duplicate listings |
| `proxyConfiguration` | object | none | Optional Apify proxy |

### Pricing

Pay per event: **$0.001 per job listing saved** (event `job-listing`), no platform usage on top. `maxItems` caps the cost of a run. Duplicates and filtered-out listings are free.

### More French job boards in one run

Need HelloWork, Welcome to the Jungle and Meteojob together, deduplicated? Use the all-in-one [French Job Boards Scraper](https://apify.com/praguedatalab/french-job-boards-scraper) at the same price.

### Notes

- Only public job listing data is collected. No login, no personal data of candidates.
- Relative dates ("il y a 3 jours") are converted to ISO dates.
- The Actor is tested daily; if the site changes, it is repaired within 24 hours. Open an issue on the Actor page for anything else.

# Actor input Schema

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

Job title, skill or free text, in French or English. Examples: <code>comptable</code>, <code>développeur Python</code>, <code>commercial B2B</code>, <code>data analyst</code>.

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

City, department or region in France. Leave empty for the whole country. Examples: <code>Paris</code>, <code>Lyon</code>, <code>Île-de-France</code>, <code>Nantes</code>.

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

Keep only these contract types. Empty = all types.

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

Filter on remote policy when the job board publishes it.

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

Stop after this many job listings in total (after deduplication). Each saved listing is one <code>job-listing</code> event.

## `includeDescription` (type: `boolean`):

Open each HelloWork and Meteojob job page to extract the full description (slower). Welcome to the Jungle descriptions come from its search index.

## `dedupe` (type: `boolean`):

The same job published on several boards is kept once (matched on title + company + city).

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

Optional. The job boards answer without proxies today; enable Apify datacenter proxies only if you start getting blocked.

## Actor input object example

```json
{
  "keywords": "commercial",
  "location": "Lyon",
  "contractTypes": [],
  "remote": "any",
  "maxItems": 50,
  "includeDescription": false,
  "dedupe": true,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# 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 = {
    "keywords": "commercial",
    "location": "Lyon",
    "maxItems": 50,
    "includeDescription": false
};

// Run the Actor and wait for it to finish
const run = await client.actor("praguedatalab/meteojob-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 = {
    "keywords": "commercial",
    "location": "Lyon",
    "maxItems": 50,
    "includeDescription": False,
}

# Run the Actor and wait for it to finish
run = client.actor("praguedatalab/meteojob-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 '{
  "keywords": "commercial",
  "location": "Lyon",
  "maxItems": 50,
  "includeDescription": false
}' |
apify call praguedatalab/meteojob-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,praguedatalab/meteojob-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/GootRO6MyjE8M818V/builds/abJRKm3tpgz2bXx90/openapi.json