# Fnac Product Scraper (`axlymxp/fnac-product-scraper`) Actor Scrape Fnac.com product data: keyword search, direct product URLs, and full detail including per-seller marketplace offers, GTIN/SKU, pricing and characteristics. Self-contained — no external unblocking subscription required. - **URL**: https://apify.com/axlymxp/fnac-product-scraper.md - **Developed by:** [axly](https://apify.com/axlymxp) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $4.00 / 1,000 dataset items 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 ## Fnac Product Scraper Extract Fnac.com (French electronics, books & entertainment retailer) product data at scale — **price, stock, GTIN/SKU, and full per-seller marketplace offers** — by keyword search or direct product URL. Returns clean, structured JSON ready for spreadsheets, dashboards, or your pricing system. Unlike other Fnac scrapers, this actor is **self-contained**: no external paid unblocking subscription (e.g. scrape.do) is required to get real results — the actor solves Fnac's anti-bot challenge itself. ### Who it's for - **Price/repricing & competitive intelligence teams** — track Fnac's own price and every marketplace seller's competing offer (price, condition, seller) on the same product, from a simple keyword search. - **Marketplace sellers on Fnac** — monitor buy-box position and rival offers on your own listings. - **E-commerce / brand & merchandising teams** — catalog, ratings, assortment, and category structure. - **Researchers** — French retail market structure and pricing studies. ### What you get (output fields) | Field | Type | Description | | ------------------------------- | ------- | ---------------------------------------------------- | | `prid` | string | Fnac product id | | `title` / `brand` | string | Product title and brand | | `price` / `base_price` | number | Current and base tax-included price | | `gtin` / `sku` / `mpn` | string | Barcode and part identifiers | | `condition` / `availability` | string | Offer condition and stock availability | | `seller` / `seller_type` | string | Current offer's seller and type (fnac/professional) | | `rating` / `reviews_count` | number | Average rating and review count | | `num_offers` / `offers` | int/arr | Marketplace offer count and full per-seller breakdown | | `characteristics` | object | Parametric specifications | | `images` | array | Product image URLs | | `url` | string | Product page URL | ### High-value use cases - **Competitive price monitoring** — schedule daily runs on key products or keywords and diff prices, availability, and marketplace offers over time. - **Buy-box / seller competition tracking** — see every seller's price and condition for a product in one row, no need to already know product IDs. - **Catalog & assortment tracking** — pull a keyword's full result set to see what's listed, rated, and in stock. - **Product enrichment** — turn a list of product URLs into full structured records with specs and images for your PIM/CRM. ### Input parameters | Field | Type | Default | Description | | --------------------- | ------- | --------- | ----------------------------------------------- | | `searchQueries` | array | `[]` | Keywords to search | | `productUrls` | array | `[]` | Direct Fnac product URLs to fetch | | `maxPagesPerQuery` | int | 3 | Search pages per query (20 results/page) | | `maxItems` | int | 200 | Global cap across all queries and URLs | | `fetchOffers` | boolean | true | Include the full per-seller offers array | | `proxyConfiguration` | object | Residential | Apify Residential proxy (used by default — Fnac's anti-bot flags datacenter IPs) | ### Example input ```json { "searchQueries": ["iphone"], "maxPagesPerQuery": 2, "fetchOffers": true } ```` ### Example output ```json { "prid": "21960880", "title": "Apple iPhone Air 6,5\" 5G e-SIM 256 Go Or clair", "brand": "Apple", "price": 1229.0, "currency": "EUR", "gtin": "0195950622911", "sku": "9321643", "condition": "new", "seller": "FNAC.COM", "availability": "En Stock", "num_offers": 15, "offers": [ { "seller": "FNAC.COM", "seller_type": "fnac", "condition": "new", "price": 1229.0 }, { "seller": "BlueSky EU", "seller_type": "professional", "condition": "like-new", "price": 749.0 } ], "url": "https://www.fnac.com/a21960880/..." } ``` ### Scheduling & integrations Run on a schedule (hourly/daily) and push results to Google Sheets, Make, Zapier, S3, or your webhook using Apify's built-in integrations — ideal for continuous price and marketplace-offer monitoring. ### Use with AI assistants (MCP) Prefer to query Fnac live from Claude, Cursor, or your own agent? Use the companion **Fnac MCP Server** actor, which exposes product search, detail (with offers), autocomplete, and recommendations as Model Context Protocol tools. ### FAQ **Do I need my own proxy or API key?** No — the actor solves Fnac's DataDome/Akamai challenge itself with a built-in stealth browser, using Apify Residential proxies by default. **Is the data fresh?** Every run pulls live pricing, stock, and marketplace offers directly from Fnac at run time. **Is the keyword search 100% reliable?** Fnac's search page sits behind its strictest anti-bot tier and can occasionally return zero results on a given attempt even with automatic retries — the actor retries with a fresh browser session when this happens. Product detail lookups by URL or product ID (and BOM-style batches of them) use a separate, consistently reliable channel and are not affected. **Why is this more reliable than other Fnac scrapers?** It doesn't depend on a third-party paid unblocking subscription to function beyond a crippled free tier, and it exposes the full per-seller marketplace offers array from a simple keyword search — most rivals require already knowing the product ID. **Is scraping legal?** The actor collects only publicly available product data. You are responsible for complying with Fnac's terms and applicable laws. **Support?** Issues and requests are typically answered within a couple of business days. # Actor input Schema ## `searchQueries` (type: `array`): Keywords to search on fnac.com (one search per keyword). ## `productUrls` (type: `array`): Direct Fnac product URLs (or bare numeric product IDs) to fetch full detail for. ## `maxPagesPerQuery` (type: `integer`): Search pages per keyword query (20 results per page). ## `maxItems` (type: `integer`): Global cap across all queries and URLs. The run stops once this many products are pushed. ## `fetchOffers` (type: `boolean`): Include the full per-seller marketplace offers array (price, condition, seller) in each row. ## `headless` (type: `boolean`): Run the bootstrap browser headless. Leave true for production runs. ## `proxyConfiguration` (type: `object`): Fnac's anti-bot flags datacenter IPs for the browser-driven search page. Apify Residential proxies are used by default for reliable results. ## Actor input object example ```json { "searchQueries": [ "iphone", "harry potter" ], "productUrls": [ "https://www.fnac.com/a21960880/x" ], "maxPagesPerQuery": 3, "maxItems": 200, "fetchOffers": true, "headless": true, "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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "searchQueries": [ "iphone" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("axlymxp/fnac-product-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 = { "searchQueries": ["iphone"], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("axlymxp/fnac-product-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 '{ "searchQueries": [ "iphone" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call axlymxp/fnac-product-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=axlymxp/fnac-product-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Fnac Product Scraper", "description": "Scrape Fnac.com product data: keyword search, direct product URLs, and full detail including per-seller marketplace offers, GTIN/SKU, pricing and characteristics. Self-contained — no external unblocking subscription required.", "version": "1.0", "x-build-id": "n7SfigTwc8f61BnGW" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/axlymxp~fnac-product-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-axlymxp-fnac-product-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/axlymxp~fnac-product-scraper/runs": { "post": { "operationId": "runs-sync-axlymxp-fnac-product-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/axlymxp~fnac-product-scraper/run-sync": { "post": { "operationId": "run-sync-axlymxp-fnac-product-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchQueries": { "title": "Search queries", "type": "array", "description": "Keywords to search on fnac.com (one search per keyword).", "default": [], "items": { "type": "string" } }, "productUrls": { "title": "Product URLs", "type": "array", "description": "Direct Fnac product URLs (or bare numeric product IDs) to fetch full detail for.", "default": [], "items": { "type": "string" } }, "maxPagesPerQuery": { "title": "Max search pages per query", "minimum": 1, "maximum": 50, "type": "integer", "description": "Search pages per keyword query (20 results per page).", "default": 3 }, "maxItems": { "title": "Max items (total)", "minimum": 1, "type": "integer", "description": "Global cap across all queries and URLs. The run stops once this many products are pushed.", "default": 200 }, "fetchOffers": { "title": "Include marketplace offers", "type": "boolean", "description": "Include the full per-seller marketplace offers array (price, condition, seller) in each row.", "default": true }, "headless": { "title": "Headless browser", "type": "boolean", "description": "Run the bootstrap browser headless. Leave true for production runs.", "default": true }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Fnac's anti-bot flags datacenter IPs for the browser-driven search page. Apify Residential proxies are used by default for reliable results.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```