# Meteojob Scraper: France Jobs API \[USD 0.90/1K] (`usefulapi/meteojob-scraper`) Actor

Scrape Meteojob.com job offers in France: title, company, city, salary range, CDI/CDD/intérim/stage contract, full description, date and apply link. Search by keyword and location or paste search URLs. Only-new-jobs mode for alerts. USD 0.90 per 1,000 jobs.

- **URL**: https://apify.com/usefulapi/meteojob-scraper.md
- **Developed by:** [Useful API](https://apify.com/usefulapi) (community)
- **Categories:** Jobs, Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.90 / 1,000 jobs

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 Scraper: France jobs API

Scrape job offers from **Meteojob.com**, the French job board: job title, company, city and
département, salary range, contract type (CDI, CDD, intérim, stage, alternance), full description, publication date
and the apply link. Search by keyword and location, or paste Meteojob search URLs. Export to CSV, Excel or JSON, or
pull it through the API.

**USD 0.90 per 1,000 jobs.** No login, no browser, no proxy needed.

### What you get

- Every job of your search, 20 per results page, with the **full description and candidate profile** read straight
  from the results (no slow job-page visits).
- **Salary as numbers** (min, max, EUR) with the period (hour, month, year) when Meteojob shows one.
- **Contract and working time**: CDI, CDD, intérim, stage, alternance, freelance, temps plein / temps partiel.
- **Location** split into city, département postcode, region and country code.
- Company name, logo, industry, Meteojob reference and the external apply link when the offer has one.

### Input examples

Nurses in Paris:

```json
{ "keywords": ["infirmier"], "location": "Paris", "maxJobs": 100 }
```

Several searches at once, internships only, new offers of the last 7 days:

```json
{ "keywords": ["développeur", "data analyst"], "location": "Lyon", "contractType": "STAGE", "postedWithinDays": 7 }
```

From your own Meteojob search URLs:

```json
{ "startUrls": [{ "url": "https://www.meteojob.com/jobs?what=comptable&where=Bordeaux" }], "maxJobs": 200 }
```

### Who uses it

- **Recruiters and staffing agencies:** watch new offers in a sector or region every morning.
- **Job market research:** salaries and contract mix by job and département.
- **Job aggregators and alert apps:** a clean French job feed with one row per offer.
- **Sales teams:** companies hiring right now in your market (company names come from the ads, no personal data).

### Output: one row per job

Every Actor in this family writes the same columns, so you can merge boards in one sheet or database.

| Field | What it holds |
|---|---|
| `jobId` | The board's own job id |
| `title`, `company` | Job title and hiring company (as the board shows them) |
| `companyUrl`, `companyLogoUrl` | Company page and logo on the board, when given |
| `location`, `city`, `region`, `postalCode`, `country` | Location as shown, and its parts; `country` is an ISO code (FR, DE, US...) |
| `remote`, `workplaceType` | `true`/`false` and `remote`, `hybrid` or `onsite`, only when the board says so |
| `salaryMin`, `salaryMax`, `salaryCurrency`, `salaryPeriod`, `salaryText` | Salary range as numbers, ISO currency, `HOUR`/`DAY`/`WEEK`/`MONTH`/`YEAR`; empty when the board gives none (never guessed) |
| `employmentType`, `employmentTypeText` | `FULL_TIME`, `PART_TIME`, `TEMPORARY`, `INTERN`, `APPRENTICE`, `CONTRACTOR`, `FREELANCE`..., and the board's own wording |
| `experienceLevel`, `category`, `skills` | When the board gives them |
| `datePosted`, `validThrough` | ISO 8601 dates |
| `descriptionText`, `descriptionHtml` | Full description as plain text and as HTML |
| `applyUrl`, `jobUrl` | Where to apply, and the job's page on the board |
| `sourceBoard`, `searchLabel`, `scrapedAt` | Which board, which of your searches found it, when |
| `duplicateKey` | The same key for the same ad posted on several boards (or reposted): title without (m/w/d) or H/F tags, company without legal form, city, country. Use it to merge results from several of our board Actors |
| `extra` | A few fields only this board has |

Contact email addresses and phone numbers inside descriptions are removed: this Actor never collects recruiters'
personal contact details.

### Job alerts: only new jobs, sent where you work

1. Switch on **Only new jobs since the last run** and schedule the Actor (daily, hourly). It remembers the jobs it
   has already delivered for the same searches and filters, in a key-value store on your own account (named job-boards-seen-<board>), and saves only
   new ones. The first run delivers everything and remembers it. **Memory name** shares one memory between schedules,
   or starts fresh.
2. Paste a **Slack or Discord webhook** (or a Zapier or Make webhook, which can email you) into **Send new jobs to**.
   After each run that found new jobs you get one message with the count and up to 10 jobs with their links.
   Free: the message is never billed.

Apify's own integrations (Google Sheets, email, webhooks) work too.

### Pricing

Pay per job saved: **USD 0.90 per 1,000 jobs** (USD 0.0009 a job), plus USD 0.002 per run start. No
monthly rental, no charge for jobs skipped as duplicates, already seen or filtered out. Set a maximum cost per run in
Apify and the Actor stops just before it, keeping everything saved so far.

### Use it through the API

```bash
curl -X POST "https://api.apify.com/v2/acts/usefulapi~meteojob-scraper/run-sync-get-dataset-items?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"keywords":["infirmier"],"location":"Paris","maxJobs":20}'
```

Python: `ApifyClient("YOUR_API_TOKEN").actor("usefulapi/meteojob-scraper").call(run_input={...})`, then read the dataset items.

### Good to know

- **Polite by design:** one request at a time per site with a pause between requests, and the site's robots.txt is
  followed. Runs read public job pages only: no login, no candidate profiles or CVs.
- **What a run summary tells you:** the `OUTPUT` record has jobs saved per search, jobs skipped (duplicates, seen
  before, too old) and why a run stopped early, if it did.
- **Is it legal?** The Actor reads job ads that the board publishes openly, the same pages a job seeker sees. You are
  responsible for how you use the data (for example, the board's terms and data protection rules in your country).
- **Found a problem?** Open an issue on the Issues tab: we answer quickly.

# Actor input Schema

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

One search per line, as you would type it on Meteojob (for example infirmier, développeur java, comptable). Leave empty to list every job in the location.

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

City, département or region in France, as on Meteojob (Paris, Lyon, 69, Bretagne). Leave empty for all of France.

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

Only jobs with this contract.

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

Paste search result URLs from meteojob.com/jobs with your filters set. When given, the fields above are ignored.

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

Stop after saving this many jobs (across all searches). You pay only for jobs saved.

## `postedWithinDays` (type: `integer`):

Only jobs published in the last N days. 0 = any date.

## `onlyNewJobs` (type: `boolean`):

Remembers the jobs already delivered for these searches (in a key-value store on your account) and saves only jobs not seen before. Ideal for daily or hourly schedules and job alerts. The first run delivers everything and remembers it.

## `stateKey` (type: `string`):

Use the same name on several schedules to share one memory, or a new name to start fresh. Letters, digits, - and \_. Empty = one memory per set of searches.

## `notifyUrl` (type: `string`):

Paste a Slack or Discord webhook link, or a Zapier or Make webhook (which can email you). After each run that saved jobs you get one message with the count and up to 10 jobs with their links. With 'Only new jobs' on and a schedule, this is a free job alert. Not billed.

## `descriptionFormat` (type: `string`):

Plain text, HTML, both, or none (smaller datasets).

## `maxJobsPerSearch` (type: `integer`):

Cap for each search line, so one broad search does not use up the whole run. 0 = no cap.

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

Not needed for Meteojob in our tests. Apify datacenter proxy or your own proxies only; residential proxy is not supported.

## Actor input object example

```json
{
  "keywords": [
    "infirmier"
  ],
  "location": "Paris",
  "maxJobs": 20,
  "postedWithinDays": 0,
  "onlyNewJobs": false,
  "descriptionFormat": "both",
  "maxJobsPerSearch": 0,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

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

One row per job, same columns on every board of this family. Download as CSV, Excel or JSON.

## `summary` (type: `string`):

Jobs saved per search, jobs skipped (duplicates, seen before, too old), pages read and why the run stopped early (if it did).

# 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": [
        "infirmier"
    ],
    "location": "Paris",
    "maxJobs": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("usefulapi/meteojob-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": ["infirmier"],
    "location": "Paris",
    "maxJobs": 20,
}

# Run the Actor and wait for it to finish
run = client.actor("usefulapi/meteojob-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": [
    "infirmier"
  ],
  "location": "Paris",
  "maxJobs": 20
}' |
apify call usefulapi/meteojob-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,usefulapi/meteojob-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/iWIeZVM41zIS1AB5M/builds/6Xr26gtlqkvesvS1K/openapi.json