# Fnac MCP Server (`axlymxp/fnac-mcp-server`) Actor

MCP server + scraper for fnac.com. Search products, get full detail with marketplace offers, autocomplete, and recommendations live from Claude, ChatGPT, Cursor and other AI agents — or run it as a classic Fnac scraper.

- **URL**: https://apify.com/axlymxp/fnac-mcp-server.md
- **Developed by:** [axly](https://apify.com/axlymxp) (community)
- **Categories:** Developer tools, E-commerce
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event + usage

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#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

## Fnac MCP Server

Give your AI assistant **live access to Fnac.com** (French electronics, books
& entertainment retailer). This actor runs as a **Model Context Protocol
(MCP) server** so **Claude, ChatGPT, Cursor, n8n** and other agents can search
products, pull full detail with marketplace offers, get autocomplete
suggestions, and fetch recommendations — in real time. It also runs as a
**classic scraper** when you just want a dataset.

Powered by a self-contained hybrid client: no external paid unblocking
subscription required.

### Who it's for

- **AI-assistant / agent builders** — add live Fnac product and price lookup
  to a shopping or price-comparison agent.
- **Analysts using Claude/Cursor** — ad-hoc price/availability/marketplace
  checks in chat without building a scraper.
- **Automation (n8n/Make) builders** — MCP tool nodes for price-monitoring or
  repricing workflows.

### MCP tools

| Tool                          | What it does                                                              |
| ------------------------------ | -------------------------------------------------------------------------- |
| `search_fnac_products`         | Keyword search → normalized rows, optionally enriched with full detail    |
| `get_fnac_product`              | Full detail for one product, including per-seller marketplace offers      |
| `fnac_autocomplete`             | Search-box autocomplete suggestions                                       |
| `get_fnac_recommendations`      | "Customers also bought" / related products for a given product            |

### Output fields (per product)

`prid`, `title`, `brand`, `price`, `base_price`, `currency`, `gtin`, `sku`,
`mpn`, `condition`, `seller`, `seller_type`, `availability`, `category`,
`rating`, `reviews_count`, `num_offers`, `offers` (full per-seller
breakdown), `characteristics`, `images`, `url`.

### Connect it

1. Start the actor in **Standby mode** on Apify.
2. Point your MCP client at `https://<your-actor-standby-url>/mcp` (Streamable HTTP).
3. The tools above appear automatically in your AI assistant.

Example (Claude Desktop / Cursor MCP config):

```json
{
    "mcpServers": {
        "fnac": {
            "url": "https://<your-actor-standby-url>/mcp"
        }
    }
}
```

### Classic scraper mode

Prefer a plain dataset? Run the actor normally with an input like:

```json
{
    "searchQueries": ["iphone"],
    "maxPagesPerQuery": 1,
    "fetchOffers": true
}
```

It pushes normalized product rows to the dataset — identical fields to the tools.

### High-value use cases

- **Conversational price checks** — "what's the cheapest marketplace offer
  for this PlayStation 5?" answered live by your assistant.
- **Competitive intelligence agents** — an agent pulls every seller's offer
  for a product before recommending where to buy.
- **Procurement/monitoring automation** — an n8n/Make workflow polls prices
  and marketplace offers for tracked products.

### FAQ

**Do I need proxies or an API key?** No — the actor solves Fnac's anti-bot
challenge itself with a built-in stealth browser.

**How fresh is the data?** Live on every tool call.

**Is `search_fnac_products` 100% reliable?** Fnac's search page sits behind
its strictest anti-bot tier and can occasionally return zero results on a
given call even with automatic retries. `get_fnac_product` (by product ID or
URL) uses a separate, consistently reliable channel and is not affected.

**Can it return a dataset too?** Yes — run it in normal mode for a classic
scrape, using the same fields as the tools.

**Is scraping legal?** The actor collects only publicly available product
data. You are responsible for complying with Fnac's terms and applicable
laws.

# Actor input Schema

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

Keywords to search (classic run mode only — ignored when connected as an MCP server).

## `productUrls` (type: `array`):

Direct Fnac product URLs to fetch (classic run mode only).

## `maxPagesPerQuery` (type: `integer`):

Search pages per keyword in classic run mode.

## `fetchOffers` (type: `boolean`):

Include the full per-seller marketplace offers array in each row.

## Actor input object example

```json
{
  "searchQueries": [
    "iphone"
  ],
  "productUrls": [],
  "maxPagesPerQuery": 1,
  "fetchOffers": true
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("axlymxp/fnac-mcp-server").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("axlymxp/fnac-mcp-server").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call axlymxp/fnac-mcp-server --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=axlymxp/fnac-mcp-server",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/zmckJ155LnfrDkEJA/builds/NUGyWYDrsjRs0xh8S/openapi.json