# Fnac Product Search Scraper (`powerai/fnac-products-search-scraper`) Actor

Scrape product listings from Fnac.com by providing a search URL, with automatic pagination and comprehensive product information extraction.

- **URL**: https://apify.com/powerai/fnac-products-search-scraper.md
- **Developed by:** [PowerAI](https://apify.com/powerai) (community)
- **Categories:** E-commerce, Other, Integrations
- **Stats:** 10 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: 1.00 out of 5 stars

## Pricing

from $4.99 / 1,000 results

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 Product Search Scraper

This actor allows you to scrape product listings from Fnac.com by providing a search URL. It automatically handles pagination and extracts comprehensive product information including prices, specifications, and availability details.

### Features

- **URL-based Scraping:** Extract products by providing a complete Fnac search URL
- **Automatic Pagination:** Automatically clicks the "Voir plus d'articles" button to load more products until reaching the end or max items limit
- **Comprehensive Product Data:** Extract detailed information about each product including:
  - Product title and description
  - Current and original prices
  - Discount percentage
  - Product images
  - Category and brand information
  - Technical specifications (storage capacity, screen size, color)
  - Customer ratings and reviews
  - Availability status
  - Delivery options

### Input Parameters

| Field | Type | Required | Description |
|-------|------|----------|-------------|
| `searchUrl` | string | Yes | Complete Fnac search URL to scrape |
| `maxItems` | integer | No | Maximum number of products to fetch |

### Output

The output is a main list of product objects, each containing:

- `searchUrl`: The original search URL used
- `productId`: Unique product identifier
- `productTitle`: Title of the product
- `productUrl`: URL to the product page
- `imageUrl`: URL of the product image
- `category`: Product category
- `brand`: Product brand name
- `price`: Current selling price
- `originalPrice`: Original/list price before discount
- `discountPercentage`: Discount percentage
- `ratingScore`: Customer rating score
- `reviewCount`: Number of customer reviews
- `storageCapacity`: Storage capacity specification
- `screenSize`: Screen size specification
- `color`: Product color
- `availability`: Stock availability status
- `deliveryInfo`: Delivery information and cost
- `scrapedAt`: Timestamp of when the product was scraped

Example output:

```json
[
  {
    "searchUrl": "https://www.fnac.com/SearchResult/ResultList.aspx?Search=iphone&sft=1&sa=0",
    "productId": "21960880",
    "productTitle": "Apple iPhone Air 6,5\" 5G e-SIM 256 Go Or clair",
    "productUrl": "https://www.fnac.com/Apple-iPhone-Air-6-5-5G-e-SIM-256-Go-Or-clair/a21960880/w-4",
    "imageUrl": "https://static.fnac-static.com/multimedia/Images/FR/MDM/9d/86/b6/28739229/1545-1/tsp20251208172645/Apple-iPhone-Air-6-5-5G-e-SIM-256-Go-Or-clair.jpg",
    "category": "iPhone",
    "brand": "Apple",
    "price": 969,
    "originalPrice": 1229,
    "discountPercentage": 21,
    "ratingScore": 5,
    "reviewCount": 5,
    "storageCapacity": "256 Go",
    "screenSize": "6,5 \"",
    "color": "Or clair",
    "availability": "En stock en ligne",
    "deliveryInfo": "gratuite",
    "scrapedAt": "2025-05-29T02:10:44.350Z"
  },
  ...
]
```

### Use Cases

- Price comparison and monitoring
- Market research and competitive analysis
- Product catalog building
- Inventory tracking
- Consumer behavior research

### Notes

- The actor uses stealth mode to avoid detection
- Results are automatically paginated until reaching the end or max items limit
- All prices are in Euros
- The actor includes random delays between actions to avoid rate limiting

***

**Start finding the best products on Fnac.com today!**

# Actor input Schema

## `searchUrl` (type: `string`):

The complete Fnac search URL to scrape

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

Maximum number of products to fetch

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

Proxy settings for the actor

## Actor input object example

```json
{
  "searchUrl": "https://www.fnac.com/SearchResult/ResultList.aspx?Search=iphone&sft=1&sa=0&PageIndex=1",
  "maxItems": 100,
  "proxyConfiguration": {
    "useApifyProxy": false,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# 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 = {
    "searchUrl": "https://www.fnac.com/SearchResult/ResultList.aspx?Search=iphone&sft=1&sa=0&PageIndex=1",
    "maxItems": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("powerai/fnac-products-search-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 = {
    "searchUrl": "https://www.fnac.com/SearchResult/ResultList.aspx?Search=iphone&sft=1&sa=0&PageIndex=1",
    "maxItems": 100,
}

# Run the Actor and wait for it to finish
run = client.actor("powerai/fnac-products-search-scraper").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 '{
  "searchUrl": "https://www.fnac.com/SearchResult/ResultList.aspx?Search=iphone&sft=1&sa=0&PageIndex=1",
  "maxItems": 100
}' |
apify call powerai/fnac-products-search-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/tXIi5o0Enw5Wdfn5n/builds/O0jq0wVMpZGfqFq8v/openapi.json