# FashionJobs France Scraper: Fashion & Luxury Jobs (`nomad-agent/fashionjobs-scraper`) Actor

$0.1/1K jobs | Extract fashion, luxury and beauty jobs from FashionJobs France in bulk, with full French descriptions, cities and employment type. Filter by keyword, city and posting age. No login or API key.

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

## Pricing

from $0.05 / 1,000 job results

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

## FashionJobs France Scraper (No Login) + Full Descriptions

$0.1/1K jobs | Extract fashion, luxury and beauty jobs from FashionJobs France in bulk, with full French descriptions, cities and employment type. Filter by keyword, city and posting age. No login or API key. Independent, unofficial tool. Not affiliated with or endorsed by FashionJobs.

### FashionJobs France Jobs Bulk Scraper

Our scraper reads fashion, luxury and beauty jobs from the French site of FashionJobs and lets you filter by keyword, city, employment type and posting age. Adverts and descriptions are in French. Every row carries the complete original description as text and HTML, plus the title, employer, posting date and a link to the posting on FashionJobs. It is ideal for fashion and luxury recruitment alerts, retail hiring analytics, and job boards and newsletters.

- Want to search FashionJobs together with other boards? Our [Multi-Board Job Search API — 44 Sources, Full Descriptions](https://apify.com/nomad-agent/web-search-scraper) searches FashionJobs and the other stored boards in one run.
- Browse all our job-board scrapers: https://apify.com/nomad-agent

#### Key Benefits

- No login or API key: nothing to set up and no account at risk.
- Low pricing: $0.10 per 1,000 jobs, plus a flat $0.00005 per run.
- Complete descriptions: a posting whose description cannot be verified is left out, so every row has the full original text.
- Fresh data: we refresh the newest adverts about once an hour, with a deeper pass once a day.
- No repeats across runs: schedule the same search daily and postings you already received are skipped.

### How It Works

1. Provide your search. Every field is optional:
   - `queries` (e.g., `vendeur`): a posting matches when its title or description contains every word of a query, as whole words. Several queries match any of them.
   - `locations` (e.g., `Paris`): a city, region, country name or two-letter country code.
   - `locationTypes` (`remote`, `hybrid`, `onsite`), `employmentTypes` and `postedWithin` (e.g., `7d`, `any`) narrow it further. While one is set, a posting whose source does not state that fact is left out.
2. Run the Actor. Filters are applied to all stored postings before the limit is counted, so you get the newest matches. The `RUN-SUMMARY` record of the run says what was applied.
3. Run the same search again and you get only postings you have not received yet. Set `dedupe.enabled` to `false` to see everything again.

More settings:

- `maxItems` - Maximum number of jobs to return. Default is 50. Zero, or anything above 200, means 200.
- `dedupe` - Skips postings already delivered to your account for the same search. Set `key` to keep separate alert histories.

**A rolling sample of the French site.** Each hourly refresh reads the newest 100 adverts and a daily pass reads about 500, so this Actor holds recent adverts rather than every offer on the site.

Adverts that FashionJobs hands to an employer's own application system are not stored.

`deadline` is the end of the advert in UTC, so a French midnight shows as 22:00 or 23:00 on the evening before, depending on daylight saving, and it is normally 30 days after posting. Salary and work arrangement are not published in this data.

#### Data You'll Receive

- Job details: title, complete description in French (text and HTML), posting date, advert end date and employment type.
- Employer: company name.
- Location: the city and country code as FashionJobs prints them, for example `PARIS, FR`.
- Links: the original FashionJobs advert URL.
- Stable `source` and `id` fields to deduplicate across runs.
- Countries: `countryCodes` lists the ISO 3166-1 alpha-2 country codes of the job's places (`null` when no place has a known country, never an empty list); `locations` stays the physical place, and a posting a single-country board stores with no place at all still carries that board's country.
- Applicant regions: `applicantLocations` lists where the posting says an applicant may live (`null` when the source states nothing, `[]` when it states no restriction); `locations` stays the physical place.

#### Sample output data

Here is an example job from this Actor:

```json
{
  "schemaVersion": "nomad-agent-job-row-v5",
  "source": "fashionjobs",
  "id": "12221551",
  "url": "https://fr.fashionjobs.com/emploi/ksi-retail/Vendeur-luxe-joaillerie,12221551.html",
  "title": "Vendeur(se) Luxe Joaillerie",
  "company": "KSI RETAIL",
  "locations": [
    "PARIS, FR"
  ],
  "countryCodes": [
    "FR"
  ],
  "applicantLocations": null,
  "postedAt": "2026-10-13T17:15:25Z",
  "deadline": "2026-11-12T23:00:00Z",
  "description": "KSI Retail : Leader de l'intérim et du placement sur les métiers du Retail, du Wholesale et du Tertiaire. Pour maison de Luxe en Joaillerie, nous recherchons un(e) vendeur(se) en Grand Magasin. Vous serez notamment chargé(e) de : - l'accueil et du conseil clientèle - de la réalisation et du suivi des ventes - du respect et de la mise en place du merchandising - de la gestion des stocks - de l'optimisation du fichier … (shortened here)",
  "descriptionHtml": "KSI Retail : Leader de l'intérim et du placement sur les métiers du Retail, du Wholesale et du Tertiaire. Pour maison de Luxe en Joaillerie, nous recherchons un(e) vendeur(se) en Grand Magasin. <br>\n <br>\n Vous serez notamment chargé(e) de : <br>\n <br>\n - l'accueil et du conseil clientèle <br>\n <br>\n - de la réalisation et du suivi des ventes <br>\n <br>\n - du respect et de la mise en place du merchandising <br>\n <br> … (shortened here)",
  "workType": null,
  "salary": null,
  "employmentTypes": [
    "Contract"
  ],
  "hiringContacts": []
}
```

### FashionJobs Jobs API

Results are stored in a dataset that you can export as CSV, JSON or Excel, or read on demand through the Apify API. Schedule the Actor, or connect it to Make, n8n, Zapier or an MCP client through the Apify integrations.

#### Support and Feedback

We improve these scrapers from your feedback. If something breaks or you need a filter:

- Open an issue on the Actor's Issues tab
- If this Actor saved you time, a short review on the Store helps other users find it.

### Run evidence

- Fill rates measured on 2026-10-13 (UTC) over the newest 200 stored FashionJobs postings, with the code of this Actor run locally against the stored postings (not a platform run): complete description 200 of 200, locations 200 of 200, posting date 200 of 200, listing end date (normally 30 days after posting) 200 of 200, work arrangement 0 of 200, employment type 200 of 200, salary 0 of 200, hiring contact 0 of 200.
- Try-it prefill (`vendeur`, `Paris`, last 7 days, 20 jobs) returned 18 rows, 18 with complete descriptions, in the same local check.

***

**Independent tool.** We built and run this Actor ourselves. FashionJobs does not operate, sponsor or endorse it, and its name is used only to say which site the data comes from.

# Actor input Schema

## `queries` (type: `array`):

Match postings whose title or description contains every word of a query, as whole words, ignoring case. A posting matches when any query matches. Empty: no filter.

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

City, region, country name or two-letter ISO country code. Countries match by name, code or native name; EU and Europe expand to their countries. Empty: no filter.

## `locationTypes` (type: `array`):

remote, hybrid or onsite. Postings whose arrangement the source does not state are left out. Empty: no filter.

## `employmentTypes` (type: `array`):

Full-time, Part-time, Contract or Internship. Postings whose type the source does not state are left out. Empty: no filter.

## `postedWithin` (type: `string`):

Positive duration in hours, days, weeks, or 30-day months, at most 36500 days; any disables the filter. Uses the first inventory admission date when the source has no posting date.

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

Maximum returned jobs. Zero, or anything above 200, means 200.

## `dedupe` (type: `object`):

Suppress confirmed repeat deliveries for the same Apify user and search.

## `schemaVersion` (type: `string`):

Version marker for database-only simple job search. Version 1 inputs remain valid.

## Actor input object example

```json
{
  "queries": [
    "vendeur"
  ],
  "locations": [
    "Paris"
  ],
  "locationTypes": [],
  "employmentTypes": [],
  "postedWithin": "7d",
  "maxItems": 20,
  "dedupe": {
    "enabled": true,
    "key": ""
  },
  "schemaVersion": "nomad-agent-simple-inventory-search-v2"
}
```

# Actor output Schema

## `dataset` (type: `string`):

No description

## `runSummary` (type: `string`):

One record describing this run: what was attempted, what was delivered, and anything that degraded. Written to the run's key-value store under RUN-SUMMARY.

# 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 = {
    "queries": [
        "vendeur"
    ],
    "locations": [
        "Paris"
    ],
    "postedWithin": "7d",
    "maxItems": 20,
    "dedupe": {
        "enabled": true,
        "key": ""
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("nomad-agent/fashionjobs-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 = {
    "queries": ["vendeur"],
    "locations": ["Paris"],
    "postedWithin": "7d",
    "maxItems": 20,
    "dedupe": {
        "enabled": True,
        "key": "",
    },
}

# Run the Actor and wait for it to finish
run = client.actor("nomad-agent/fashionjobs-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 '{
  "queries": [
    "vendeur"
  ],
  "locations": [
    "Paris"
  ],
  "postedWithin": "7d",
  "maxItems": 20,
  "dedupe": {
    "enabled": true,
    "key": ""
  }
}' |
apify call nomad-agent/fashionjobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,nomad-agent/fashionjobs-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/29BqZslTm1GShf2Vd/builds/Lz8VubouYPV9hVFlz/openapi.json