# Conforama Scraper — French Furniture & Home Products & Prices (`studio-amba/conforama-scraper`) Actor

Scrape product listings, prices, and details from Conforama.fr. Major French furniture and home retailer. Search by keyword or browse categories.

- **URL**: https://apify.com/studio-amba/conforama-scraper.md
- **Developed by:** [Studio Amba](https://apify.com/studio-amba) (community)
- **Categories:** E-commerce
- **Stats:** 2 total users, 0 monthly users, 93.1% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 result scrapeds

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?

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

## Conforama Scraper

Scrapes furniture, appliances, and home decor from Conforama.fr -- France's second-largest furniture retailer after IKEA.

### Browser-based scraping

Conforama runs an active Cloudflare Managed Challenge on the entire domain, and product prices load via a client-side XHR after React hydration -- a plain HTTP fetch never sees them. This actor connects to a Bright Data Scraping Browser session (a real, remotely-hosted Chrome instance that clears the Cloudflare challenge and executes the page's JavaScript), resolves free-text queries through the site's own header search box, and scrolls each product tile into view individually to trigger its price request.

### Input

| Field | Type | Required | Description |
|-------|------|----------|-------------|
| `searchQuery` | String | No | e.g. `"canape"`, `"table basse"` -- resolved via the site's own search box |
| `categoryUrl` | String | No | A Conforama category page URL to scrape directly |
| `maxResults` | Integer | No | Default: 100 |

If neither `searchQuery` nor `categoryUrl` is given, the scraper defaults to the canapé category.

### Output

| Field | Type | Example |
|-------|------|---------|
| `name` | String | `"Canapé d'angle droit fixe SIA HOME MYRA 4 places Tissu Vert olive"` |
| `brand` | String | `"SIA HOME"` |
| `price` | Number | `599.99` |
| `currency` | String | `"EUR"` |
| `originalPrice` | Number | `799.99` |
| `discount` | String | `"-12%"` |
| `sku` | String | `"A39651854"` |
| `productId` | String | `"73542110"` |
| `rating` | Number | `3.6` |
| `reviewCount` | Number | `196` |
| `imageUrl` | String | Product image |

### Cost

Runs on a Bright Data Scraping Browser session (billed per GB transferred, not per request) -- priced under the ANTIBOT tier to cover that cost. Per-tile price triggering adds a small amount of wall-clock time per page (roughly 1-1.5s per product) but no extra browser cost.

### Limitations

- Only tiles that finish loading their price within the run get pushed -- a tile stuck on a failed price request is skipped rather than pushed with a fake price of 0
- French-language output

### How to scrape Conforama data

1. Go to this actor's page on the [Apify Store](https://apify.com/store).
2. Click **Try for free** to open it in Apify Console.
3. Configure your search query or URL, set the maximum number of results, and adjust proxy settings if needed.
4. Click **Start** and wait for the run to finish.
5. Download your data in JSON, CSV, Excel, or connect it to your workflow via API.

You can also schedule regular runs, set up webhooks for real-time notifications, or integrate the results directly into your application using the [Apify API](https://docs.apify.com/api).

### Tips and tricks

- **Start small**: test with `maxResults: 5` before running large scrapes.
- **Use proxies**: residential proxies give the best success rates for Conforama.
- **Schedule runs**: set up recurring runs to keep your data fresh automatically.
- **Integrate via API**: use the [Apify API](https://docs.apify.com/api) or [client libraries](https://docs.apify.com/api/client) to fetch results programmatically.
- **No login required**: this actor scrapes publicly available data without needing an account.

### Features

- **No login required** — scrapes publicly available data from Conforama without needing credentials or cookies.
- **Structured output** — results are returned as clean JSON objects, ready for processing.
- **Pagination handling** — automatically follows multiple pages of results.
- **Proxy support** — configurable proxy settings for reliable, large-scale scraping.
- **Flexible input** — search by keyword, provide specific URLs, or crawl categories.
- **Scheduled runs** — run on a schedule to keep your dataset up to date automatically.
- **API access** — integrate results into your workflow using the Apify API or webhooks.

### Use cases

- **Price monitoring** — track Conforama's furniture and appliance prices over time to spot discounts and promotions.
- **Competitive intelligence** — compare Conforama's catalog and pricing against other French furniture retailers.
- **Market research** — analyze product assortment, ratings, and review counts across categories.

### FAQ

**Is it legal to scrape Conforama?**
Web scraping of publicly available data is generally permitted. This actor only accesses information that is publicly visible to any website visitor. Always review the website's terms of service before scraping.

**How often should I run this scraper?**
For price monitoring or competitive intelligence, daily or weekly runs are common. Set up a [schedule](https://docs.apify.com/schedules) in Apify Console to automate this.

**Can I export the data to Google Sheets or Excel?**
Yes. After each run, you can download results in CSV, JSON, or Excel format directly from Apify Console. You can also connect results to Google Sheets using Apify integrations.

**What if the scraper stops working?**
Websites change their structure occasionally. If you notice issues, please open an issue on the actor's page. We actively maintain this scraper and fix issues promptly.

**Can I export the data to Excel or Google Sheets?**

Yes. Every run's dataset can be downloaded from the Apify Console as CSV, Excel, JSON, or XML, or pulled automatically via the Apify API and integrations (Google Sheets, Zapier, Make).

**How fresh is the data?**

Each run scrapes conforama.fr live, so prices and stock status reflect the site at the moment the run executes. Schedule the actor to keep your dataset up to date.

### Need help?

If you have questions about this actor, need a custom modification, or want automated data delivery, reach out at [studioamba.dev](https://studioamba.dev) or open an issue on this actor's page.

We maintain 300+ web scrapers across Europe and offer managed data services for businesses that need structured data on a recurring basis.

# Actor input Schema

## `searchQuery` (type: `string`):

Search term to look for products (e.g., 'canape', 'table basse'). Resolved via the site's own search box. Leave empty if providing categoryUrl.

## `categoryUrl` (type: `string`):

A Conforama category page URL to scrape instead of searching, e.g. https://www.conforama.fr/canape-salon-sejour/canape/tous-les-canapes/c/020117

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

Maximum number of products to return.

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

Select proxies to be used by this actor.

## Actor input object example

```json
{
  "searchQuery": "canape",
  "maxResults": 20,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "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 = {
    "searchQuery": "canape",
    "maxResults": 20,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("studio-amba/conforama-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 = {
    "searchQuery": "canape",
    "maxResults": 20,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("studio-amba/conforama-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 '{
  "searchQuery": "canape",
  "maxResults": 20,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call studio-amba/conforama-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,studio-amba/conforama-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/ouZqJUU7UCjf5Lfdo/builds/abD3YS0C0YC4k1Lh0/openapi.json