# 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, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 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/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use 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 requires JavaScript rendering, so this actor uses PlaywrightCrawler. It handles cookie consent banners, waits for dynamic content to load, and extracts products through three strategies in order: JSON-LD ItemList data, Google Tag Manager dataLayer events, and HTML product cards. ### Input | Field | Type | Required | Description | |-------|------|----------|-------------| | `searchQuery` | String | No | e.g. `"canape"`, `"machine a laver"` | | `startUrls` | Array | No | Category or product URLs | | `maxResults` | Integer | No | Default: 100 | | `proxyConfiguration` | Object | No | Recommended -- Conforama uses anti-bot protection | If neither `searchQuery` nor `startUrls` is given, the scraper starts from the Conforama homepage. ### Output | Field | Type | Example | |-------|------|---------| | `name` | String | `"Canape d'angle convertible SCOTT"` | | `brand` | String | `"Conforama"` | | `price` | Number | `599.99` | | `currency` | String | `"EUR"` | | `originalPrice` | Number | `799.99` | | `sku` | String | `"Q83521"` | | `ean` | String | `"3219110012345"` | | `inStock` | Boolean | `true` | | `imageUrl` | String | Product image | | `description` | String | Full product text | | `category` | String | `"Canapes"` | ### Cost Playwright-based -- around **5 compute units per 1,000 products**. Runs with `maxConcurrency: 1` to avoid detection. ### Limitations - Slower than HTTP-only scrapers due to browser rendering - Anti-bot detection may trigger on large runs without proxies - French-language output - Set `maxConcurrency` to 1 (already configured) to reduce block rate ### 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. ### 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'). Leave empty if providing start URLs. ## `startUrls` (type: `array`): Category or search result URLs to scrape. If empty, searchQuery will be used. ## `maxResults` (type: `integer`): Maximum number of products to return. ## `proxyConfiguration` (type: `object`): Proxy settings. Recommended: Apify residential proxies with FR country for best results. ## Actor input object example ```json { "searchQuery": "canape", "maxResults": 20, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "FR" } } ```` # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "searchQuery": "canape", "maxResults": 20, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "FR" } }; // 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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "searchQuery": "canape", "maxResults": 20, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "FR", }, } # 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("💾 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 '{ "searchQuery": "canape", "maxResults": 20, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "FR" } }' | apify call studio-amba/conforama-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=studio-amba/conforama-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Conforama Scraper — French Furniture & Home Products & Prices", "description": "Scrape product listings, prices, and details from Conforama.fr. Major French furniture and home retailer. Search by keyword or browse categories.", "version": "0.1", "x-build-id": "9QodqAWp742OQ5Ti7" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/studio-amba~conforama-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-studio-amba-conforama-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/studio-amba~conforama-scraper/runs": { "post": { "operationId": "runs-sync-studio-amba-conforama-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/studio-amba~conforama-scraper/run-sync": { "post": { "operationId": "run-sync-studio-amba-conforama-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "searchQuery": { "title": "Search Query", "type": "string", "description": "Search term to look for products (e.g., 'canape', 'table basse'). Leave empty if providing start URLs." }, "startUrls": { "title": "Start URLs", "type": "array", "description": "Category or search result URLs to scrape. If empty, searchQuery will be used.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of products to return.", "default": 100 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Recommended: Apify residential proxies with FR country for best results." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```