# Picard Scraper — French Frozen Food & Ready Meals (`studio-amba/picard-scraper`) Actor Scrape products, prices, ratings, Nutri-Score, and nutritional info from Picard.fr. France's leading frozen food retailer with 1000+ products. Supports category browsing, keyword search, and full catalog scraping. - **URL**: https://apify.com/studio-amba/picard-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, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ## Picard Scraper Scrape the full product catalog from picard.fr, France's biggest frozen food retailer. The scraper taps into Picard's internal Demandware search API, which means it pulls clean, structured data including Nutri-Score, Planet-Score, and per-kilo pricing -- things you won't easily get from other sources. ### How it works Picard runs on Salesforce Commerce Cloud (Demandware). The scraper calls the `Search-UpdateGrid` endpoint directly with large page sizes (up to 500 items per request), extracting product data from the GTM `data-gtm` attributes embedded in each product tile. No browser needed. Three modes: - **Search**: pass a `searchQuery` like `"pizza"` or `"bio"` - **Category**: pass a `categoryUrl` like `https://www.picard.fr/rayons/plats-cuisines` - **Full catalog**: leave both empty and it crawls all 10 top-level categories ### Input | Field | Type | Description | |-------|------|-------------| | `searchQuery` | string | Keyword search (e.g., `"saumon"`) | | `categoryUrl` | string | Picard category page URL | | `maxResults` | integer | Max products (default: 100) | | `proxyConfiguration` | object | Proxy settings | ### Output | Field | Type | Example | |-------|------|---------| | `name` | string | `"Pizza 4 Fromages"` | | `brand` | string | `"Picard"` | | `price` | number | `4.50` | | `currency` | string | `"EUR"` | | `productId` | string | `"00012345"` | | `inStock` | boolean | `true` | | `nutriscore` | string | `"B"` | | `planetscore` | string | `"C"` | | `rating` | number | `4.2` | | `reviewCount` | number | `38` | | `origin` | string | `"France"` | | `format` | string | `"400g (4 parts)"` | | `pricePerUnit` | string | `"11,25 EUR/kg"` | | `category` | string | `"Pizzas et tartes"` | | `categories` | array | `["Pizzas et tartes", "Pizzas", "Pizzas classiques"]` | ```json { "name": "Pizza 4 Fromages", "brand": "Picard", "price": 4.50, "currency": "EUR", "inStock": true, "nutriscore": "B", "planetscore": "C", "rating": 4.2, "reviewCount": 38, "category": "Pizzas et tartes", "url": "https://www.picard.fr/produits/pizza-4-fromages-00012345", "scrapedAt": "2026-03-14T11:00:00.000Z" } ```` ### Cost Very efficient -- the API returns up to 500 products per request. Full catalog (~1,500 products) costs about $0.50. ### Notes - Category URL slugs don't always match the internal `cgid` values. The scraper handles known mismatches (e.g., `/aperitifs-et-entrees` maps to cgid `aperitif-et-traiteur`) - All data is in French - Nutri-Score ranges from A to E; Planet-Score likewise # Actor input Schema ## `categoryUrl` (type: `string`): A Picard.fr category page URL to scrape. Example: https://www.picard.fr/rayons/plats-cuisines. If empty, scrapes the full catalog. ## `searchQuery` (type: `string`): Search for products by keyword (e.g., 'pizza', 'saumon', 'bio'). Overrides category URL if both are provided. ## `maxResults` (type: `integer`): Maximum number of products to return. ## `proxyConfiguration` (type: `object`): Proxy settings. Usually not needed for Picard.fr. ## Actor input object example ```json { "categoryUrl": "https://www.picard.fr/rayons/plats-cuisines", "maxResults": 100 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "categoryUrl": "https://www.picard.fr/rayons/plats-cuisines" }; // Run the Actor and wait for it to finish const run = await client.actor("studio-amba/picard-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "categoryUrl": "https://www.picard.fr/rayons/plats-cuisines" } # Run the Actor and wait for it to finish run = client.actor("studio-amba/picard-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 '{ "categoryUrl": "https://www.picard.fr/rayons/plats-cuisines" }' | apify call studio-amba/picard-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=studio-amba/picard-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Picard Scraper — French Frozen Food & Ready Meals", "description": "Scrape products, prices, ratings, Nutri-Score, and nutritional info from Picard.fr. France's leading frozen food retailer with 1000+ products. Supports category browsing, keyword search, and full catalog scraping.", "version": "0.1", "x-build-id": "Om38hNwyNexer2gga" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/studio-amba~picard-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-studio-amba-picard-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/studio-amba~picard-scraper/runs": { "post": { "operationId": "runs-sync-studio-amba-picard-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/studio-amba~picard-scraper/run-sync": { "post": { "operationId": "run-sync-studio-amba-picard-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "categoryUrl": { "title": "Category URL", "type": "string", "description": "A Picard.fr category page URL to scrape. Example: https://www.picard.fr/rayons/plats-cuisines. If empty, scrapes the full catalog." }, "searchQuery": { "title": "Search Query", "type": "string", "description": "Search for products by keyword (e.g., 'pizza', 'saumon', 'bio'). Overrides category URL if both are provided." }, "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. Usually not needed for Picard.fr." } } }, "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 } } } } } } } } } } ```