# OpenFoodFacts Wine Scraper (`crawlerbros/openfoodfacts-wine-scraper`) Actor Scrape wine product data from OpenFoodFacts - the world's largest open food database. Search by query, filter by brand, country, or wine type. Returns product name, ABV, nutrition, ingredients, allergens, image, and more. - **URL**: https://apify.com/crawlerbros/openfoodfacts-wine-scraper.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** Automation, Developer tools, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ## Jancis Robinson Wine Scraper Scrape **jancisrobinson.com** and extract structured data. Scrape Jancis Robinson (jancisrobinson.com) for expert wine reviews. Jancis Robinson is one of the world's foremost wine critics. Reviews use a /20 score system. ### Features - Extract data from jancisrobinson.com with no API key required - Filter results by multiple parameters - Automatic pagination — collects up to `maxItems` results - Outputs clean, omit-empty JSON records (no null fields) - Retries on rate limits and server errors ### Input Parameters | Parameter | Description | |-----------|-------------| | `query` | Wine region, variety, or winery name to search | | `maxItems` | Maximum number of results (1-500, default 20) | ### Output Format Each result is a JSON object with these fields: | Field | Description | |-------|-------------| | `wineName` | Wine name and vintage | | `winery` | Producer name | | `variety` | Grape variety | | `region` | Wine region | | `appellation` | Appellation | | `vintage` | Vintage year | | `score` | Jancis Robinson score (out of 20) | | `price` | Wine price | | `tastingNotes` | Expert tasting notes | | `imageUrl` | Wine image URL | | `sourceUrl` | Jancis Robinson review URL | ### Example Input ```json {"query": "Burgundy", "maxItems": 5} ```` ### Example Output ```json {"wineName":"2018 Rousseau Gevrey-Chambertin","winery":"Domaine Rousseau","variety":"Pinot Noir","region":"Burgundy","score":17.5} ``` ### FAQ **Is this free to use?** Yes — jancisrobinson.com is publicly accessible and requires no authentication. **How many results can I get?** Set `maxItems` up to 500 per run. **Can I scrape specific URLs?** Yes — use `mode: "byUrl"` with a `startUrls` array. **What happens if the site is slow?** The actor automatically retries on 429/5xx errors with exponential backoff. ### Data Source Data is scraped from [jancisrobinson.com](https://jancisrobinson.com) — a publicly accessible website. # Actor input Schema ## `query` (type: `string`): Wine name, grape variety, or wine region to search for (e.g. 'Bordeaux', 'Chardonnay', 'Prosecco'). Leave empty to browse all wines. ## `brand` (type: `string`): Filter by brand name (partial match, case-insensitive). ## `country` (type: `string`): Filter by country of origin (e.g. 'France', 'Italy', 'Spain'). ## `wineType` (type: `string`): Filter by wine type. ## `maxItems` (type: `integer`): Maximum number of wine products to return (1–500). ## Actor input object example ```json { "maxItems": 20 } ``` # Actor output Schema ## `results` (type: `string`): Dataset of scraped wine product records. # 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 = { "maxItems": 20 }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/openfoodfacts-wine-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 = { "maxItems": 20 } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/openfoodfacts-wine-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 '{ "maxItems": 20 }' | apify call crawlerbros/openfoodfacts-wine-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/openfoodfacts-wine-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "OpenFoodFacts Wine Scraper", "description": "Scrape wine product data from OpenFoodFacts - the world's largest open food database. Search by query, filter by brand, country, or wine type. Returns product name, ABV, nutrition, ingredients, allergens, image, and more.", "version": "1.0", "x-build-id": "znJ3p90NprDh95tch" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~openfoodfacts-wine-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-openfoodfacts-wine-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~openfoodfacts-wine-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-openfoodfacts-wine-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~openfoodfacts-wine-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-openfoodfacts-wine-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "query": { "title": "Search Query", "type": "string", "description": "Wine name, grape variety, or wine region to search for (e.g. 'Bordeaux', 'Chardonnay', 'Prosecco'). Leave empty to browse all wines." }, "brand": { "title": "Brand Filter", "type": "string", "description": "Filter by brand name (partial match, case-insensitive)." }, "country": { "title": "Country Filter", "type": "string", "description": "Filter by country of origin (e.g. 'France', 'Italy', 'Spain')." }, "wineType": { "title": "Wine Type", "enum": [ "Red Wine", "White Wine", "Rosé Wine", "Sparkling Wine", "Dessert Wine", "Fortified Wine", "Wine" ], "type": "string", "description": "Filter by wine type." }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of wine products to return (1–500).", "default": 20 } } }, "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 } } } } } } } } } } ```