# LVMH Jobs Scraper (`aboo.script/lvmh-jobs-scraper`) Actor

⚡ Fast LVMH jobs scraper for all maisons: Louis Vuitton, Dior, Sephora, Tiffany, Bulgari and more. No login, no API key. Search by keyword or job offers URL with filters. Get title, maison, function, location, contract, work mode, experience, salary, apply link and full description.

- **URL**: https://apify.com/aboo.script/lvmh-jobs-scraper.md
- **Developed by:** [Aboo Script](https://apify.com/aboo.script) (community)
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.10 / 1,000 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

## LVMH Jobs Scraper

![LVMH Jobs Scraper](https://i.ibb.co/zhFFRs9k/lvmh-banner.png)

**LVMH Jobs Scraper** extracts job offers from every LVMH maison listed on the [LVMH careers site](https://www.lvmh.com/en/join-us/our-job-offers) into clean, structured data you can download as JSON, CSV, Excel, or HTML. Paste a job offers URL with your filters or type a few keywords, and get the job title, maison, function, city and country, contract type, work mode, required experience, salary (when published), publication date, apply link, and the full job description for every offer. No account or login required.

### Introduction

[LVMH](https://www.lvmh.com/) is the world's largest luxury group, with 75+ maisons such as Louis Vuitton, Christian Dior, Sephora, Tiffany & Co., Bulgari, Fendi, Celine, Moët Hennessy and TAG Heuer. Its careers site lists thousands of open positions across retail, marketing, design, supply chain, finance and more, in over 50 countries.

This actor collects the same public information you see in your browser and turns it into a ready-to-use dataset. You can run it once, schedule it to run daily, or connect it to your own tools.

### What data can you extract from LVMH?

- 🏷️ Job title, job ID and the ID used by the maison's own application system
- 🏢 Maison (brand) and business group
- 🧭 Job function, contract type, full time or part time, work mode and required experience
- 📍 City, region or state, country and world area
- 💲 Salary range, currency and period, when the job offer shows them
- 📅 Publication date and a "new" flag
- 📝 Full description, responsibilities, candidate profile, additional information, career prospects and recruitment steps as plain text
- 🔗 Link to the job offer and direct link to the application form

### Use Cases

- 📈 **Market research**: see which maisons, functions and countries are hiring the most in the luxury industry.
- 🕵️ **Competitor monitoring**: follow how LVMH brands grow their teams, open new stores or expand into new cities.
- 🤝 **Recruiting and lead generation**: find open roles for candidates, or spot hiring teams to offer recruitment services to.
- 🗂️ **Job board building**: feed a luxury, fashion or retail job board with fresh offers and apply links.
- 🤖 **AI and automation**: feed clean, structured job data into spreadsheets, dashboards, or AI workflows.

### How to scrape LVMH job offers step by step

1. Paste one or more LVMH job offers URLs into **Start URLs**, or type keywords into **Search queries**.
2. Optionally pick filters such as **Maisons**, **Functions**, **Countries / regions** or **Contract types** for your search queries.
3. Set **Maximum number of results** to how many job offers you want per URL or per query.
4. Click **Start** and wait for the run to finish.
5. Download your data in JSON, CSV, Excel, or HTML from the **Output** tab.

### Input

- **Start URLs**: LVMH job offers URLs to scrape. Supported pages: the job offers list (in English, French, Italian or Japanese) and single job offer pages. Any keyword, filter or page you apply on the website (maison, function, country, city, contract, work mode, experience and more) is kept in the results.
- **Search queries**: keywords to search LVMH job offers for, one per line, such as a job title, skill, maison or city. Each query is scraped separately.
- **Maximum number of results**: how many job offers to collect for each start URL or search query. Set 0 for no limit.
- **Maisons**, **Business groups**, **Functions**, **Geographic areas**, **Countries / regions**, **Cities**, **Contract types**, **Work modes**, **Required experience**, **Full time / part time**: optional filters for your search queries. Choose several values in one filter to get offers matching any of them.
- **Sort by**: newest or oldest job offers first, for your search queries.

You can use start URLs, search queries, or both in the same run. Filters only apply to search queries; start URLs keep the filters already in their URL.

### Input Examples

Scrape Louis Vuitton job offers from a filtered list URL:

```json
{
  "startUrls": [
    {
      "url": "https://www.lvmh.com/en/join-us/our-job-offers?PRD-en-us-timestamp-desc%5BrefinementList%5D%5Bmaison%5D%5B0%5D=Louis%20Vuitton"
    }
  ],
  "maxResults": 5
}
```

Search by keyword:

```json
{
  "searchQueries": ["marketing"],
  "maxResults": 5
}
```

### Output

Each job offer is saved as one item in the dataset. Here is an example of a single item:

```json
{
  "url": "https://www.lvmh.com/en/join-us/our-job-offers/MHUS01325",
  "jobId": "MHUS01325",
  "atsId": "1101544",
  "title": "Brand Manager, Moet & Chandon",
  "maison": "Moët Hennessy",
  "businessGroup": "Wines & Spirits",
  "function": "Marketing",
  "geographicArea": "America",
  "country": "United States",
  "regionState": "New York",
  "city": "New York",
  "contractType": "Permanent Job",
  "schedule": "Full Time",
  "workMode": "Hybrid",
  "requiredExperience": "Minimum 3 years",
  "salaryMin": 110000,
  "salaryMax": 137000,
  "salaryText": null,
  "salaryCurrency": null,
  "salaryPeriod": null,
  "tags": [],
  "language": "EN",
  "isNew": true,
  "publishedAt": "2026-10-19T22:00:00.000Z",
  "applyUrl": "https://emea3.recruitmentplatform.com/apply-app/pages/application-form?jobId=PYZFK026203F3VBQB798N7VG6-1101544&langCode=en_US",
  "description": "Are you ready for a world of possibilities?\n\nYou embark on a career journey with the leaders of luxury wines, champagnes, and spirits, within the prestigious LV...",
  "responsibilities": "Brand Strategy & Annual Planning\n\n- Contribute to the annual brand plan using consumer, category and commercial insights to develop recommendations aligned with...",
  "profile": "Education:\nBachelor’s Degrees, or MBA Degree and/or years of equivalent experience.\nProfessional Experience & Skills:\n5+ years of brand marketing experience, pr...",
  "additionalInformation": "Health and Wellness: medical, dental, vision, mental health support resources, fertility and family building programs. Financial Benefits: competitive salary, r...",
  "careerProspects": "Health and Wellness: medical, dental, vision, mental health support resources, fertility and family building programs. Financial Benefits: competitive salary, r...",
  "recruitmentSteps": null
}
```

You can download the dataset in JSON, CSV, Excel, XML, or HTML, or access it through the Apify API.

### Notes

- Only LVMH job offers pages are supported (the job offers list and single job offers). Other URLs are skipped.
- Job offer texts are in the language the maison published them in, so you may see French, Italian, Chinese or other languages next to English.
- Start URLs from the French, Italian or Japanese site return the filter values (contract type, function, country and so on) in that language. Use English URLs or search queries for English values.
- Salary is only filled when the job offer publishes it. Some offers show text such as "To be negotiated", which is returned in `salaryText`.
- Some maisons do not provide every detail (work mode, required experience, region), so those fields can be `null`.
- A job offer URL that is no longer online is skipped with a warning.

### Why use the LVMH Jobs Scraper?

- ✅ **No login needed**: works with public data only, so there is no account to manage.
- 🌍 **All maisons in one place**: Louis Vuitton, Dior, Sephora, Tiffany & Co., Bulgari, Moët Hennessy and 45+ more brands.
- 🎯 **Keeps your filters**: paste any job offers URL from your browser and get exactly what you see there.
- 🧹 **Clean data**: dates use one standard format, salaries are real numbers, and descriptions are free of HTML.
- 💸 **Pay for what you need**: set a result limit per URL or query and keep every run small and cheap.
- 🔄 **Ready for automation**: schedule runs, export to Google Sheets, or connect to Make, Zapier, and n8n.

### FAQ

#### How many job offers can I scrape?

You can set any number in **Maximum number of results**, or 0 for no limit. The actor keeps going until it reaches your limit or runs out of job offers. The whole LVMH careers site usually has around 5,000 to 6,000 open positions.

#### Do I need an LVMH account?

No. The actor only collects publicly available job offers. You do not need to log in or provide any account details.

#### Can I scrape new job offers on a schedule?

Yes. Use Apify Schedules to run the actor every day or week, sorted by newest first, and get fresh job offers automatically.

#### Can I request a new feature or filter?

Yes. The actor already supports start URLs, search queries and all the filters of the LVMH careers site. If you need something else, get in touch and it can be added.

#### Can I get a custom or private version?

Yes. The actor can be customized for your workflow, delivered as a private version, or a new scraper can be built for a different website. Use the contact details below.

***

**Need help or want a custom solution?**

- 📧 Email: aboo.script@gmail.com
- 🧩 More scrapers: [Apify profile](https://apify.com/aboo.script)

### Image Credit

Image credit: [LVMH](https://www.lvmh.com/)

# Actor input Schema

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

LVMH job offers URLs: the job offers list with any filters, keyword and page applied on the website, or a single job offer page.

## `searchQueries` (type: `array`):

Keywords to search LVMH job offers for (job title, skill, maison, city...). Each query is scraped separately.

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

Maximum number of job offers to scrape per start URL or search query. Set 0 for no limit.

## `maisons` (type: `array`):

Only job offers from these LVMH maisons (brands). Applies to search queries only; start URLs keep the filters in their URL.

## `businessGroups` (type: `array`):

Only job offers from these business groups. Applies to search queries only; start URLs keep the filters in their URL.

## `functions` (type: `array`):

Only job offers in these job functions. Applies to search queries only; start URLs keep the filters in their URL.

## `geographicAreas` (type: `array`):

Only job offers in these world areas. Applies to search queries only; start URLs keep the filters in their URL.

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

Only job offers in these countries or regions. Applies to search queries only; start URLs keep the filters in their URL.

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

Only job offers in these cities, in English (e.g. Paris, New York, Shanghai). Not case-sensitive. Applies to search queries only; start URLs keep the filters in their URL.

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

Only job offers with these contract types. Applies to search queries only; start URLs keep the filters in their URL.

## `workModes` (type: `array`):

Only job offers with these work modes. Applies to search queries only; start URLs keep the filters in their URL.

## `experienceLevels` (type: `array`):

Only job offers that ask for this experience level. Applies to search queries only; start URLs keep the filters in their URL.

## `schedules` (type: `array`):

Only full-time or part-time job offers. Applies to search queries only; start URLs keep the filters in their URL.

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

Order of the results by publication date. Applies to search queries only; start URLs keep the filters in their URL.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.lvmh.com/en/join-us/our-job-offers?PRD-en-us-timestamp-desc%5BrefinementList%5D%5Bmaison%5D%5B0%5D=Louis%20Vuitton"
    }
  ],
  "searchQueries": [
    "marketing"
  ],
  "maxResults": 5,
  "sortBy": "newest"
}
```

# Actor output Schema

## `overview` (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 = {
    "startUrls": [
        {
            "url": "https://www.lvmh.com/en/join-us/our-job-offers?PRD-en-us-timestamp-desc%5BrefinementList%5D%5Bmaison%5D%5B0%5D=Louis%20Vuitton"
        }
    ],
    "searchQueries": [
        "marketing"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("aboo.script/lvmh-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 = {
    "startUrls": [{ "url": "https://www.lvmh.com/en/join-us/our-job-offers?PRD-en-us-timestamp-desc%5BrefinementList%5D%5Bmaison%5D%5B0%5D=Louis%20Vuitton" }],
    "searchQueries": ["marketing"],
}

# Run the Actor and wait for it to finish
run = client.actor("aboo.script/lvmh-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 '{
  "startUrls": [
    {
      "url": "https://www.lvmh.com/en/join-us/our-job-offers?PRD-en-us-timestamp-desc%5BrefinementList%5D%5Bmaison%5D%5B0%5D=Louis%20Vuitton"
    }
  ],
  "searchQueries": [
    "marketing"
  ]
}' |
apify call aboo.script/lvmh-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,aboo.script/lvmh-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/t8nyAnfIgUnqZjhHw/builds/z6LDP1g7K4tyaFCW4/openapi.json