# Wine API Scraper (`crawlerbros/wine-api-scraper`) Actor Scrape wine data from a public wine database - search reds, whites, sparkling, rosé, dessert wines and port by name, winery, country, or region. Returns wine name, winery, vintage, rating, reviews count, country, region, and image URL. - **URL**: https://apify.com/crawlerbros/wine-api-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, NaN 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 ## Wine API Scraper Search and browse wine data from a public wine database — no API key, no login, no paid proxies required. Covers red, white, sparkling, rosé, dessert wines, and port wines from top wineries worldwide. ### What you can do - **Search wines** by name keyword (e.g., "cabernet", "chardonnay", "bordeaux") - **Browse by type** — reds, whites, sparkling, rosé, dessert wines, or port - **Filter by country** — France, Italy, United States, Spain, Australia, and more - **Filter by region** — Bordeaux, Napa Valley, Tuscany, Champagne, Barossa Valley, and more - **Filter by winery** — narrow results to a specific producer - **Filter by rating** — only return wines above a minimum community score - **Filter by vintage year** — find wines from a specific era or decade ### Output fields Each record includes: | Field | Description | |---|---| | `wineName` | Full wine name (may include vintage year and varietal) | | `winery` | Name of the producer/winery | | `vintage` | Vintage year extracted from the wine name (if present) | | `country` | Country of origin | | `region` | Wine region or appellation | | `ratingAverage` | Community average rating (1.0–5.0 scale) | | `reviewsCount` | Number of community ratings | | `wineType` | Category: Red, White, Sparkling, Rosé, Dessert, or Port | | `imageUrl` | Wine bottle image URL | | `sourceUrl` | Direct link to the wine record | | `scrapedAt` | ISO timestamp of when the record was collected | | `recordType` | Always `"wine"` | ### Input parameters | Parameter | Type | Description | |---|---|---| | `mode` | select | `search` (filter by name/winery/etc), `byType` (browse a category), `all` (all types) | | `searchQuery` | text | Keyword to match against wine name or winery (mode=search) | | `wineType` | select | Wine category for `byType` mode: reds, whites, sparkling, rose, dessert-wines, port | | `filterCountry` | text | Only wines from this country (partial, case-insensitive) | | `filterRegion` | text | Only wines from this region (partial, case-insensitive) | | `filterWinery` | text | Only wines from this winery (partial, case-insensitive) | | `minRating` | number | Minimum community rating (1.0–5.0) | | `vintageMin` | integer | Minimum vintage year | | `vintageMax` | integer | Maximum vintage year | | `maxItems` | integer | Maximum number of records to return (default: 100, max: 5000) | ### Example use cases **Find Bordeaux red wines rated 4.5+:** - mode: `search`, searchQuery: `bordeaux`, minRating: `4.5`, filterCountry: `France` **Browse all port wines:** - mode: `byType`, wineType: `port` **Find Italian Barolo wines from the 1990s:** - mode: `search`, filterCountry: `Italy`, filterRegion: `Barolo`, vintageMin: `1990`, vintageMax: `1999` **Get all sparkling wines:** - mode: `byType`, wineType: `sparkling`, maxItems: `500` ### FAQs **Does this require an API key or login?** No. The data source is a fully public API — no registration, no API key, no paid plan needed. **How many wines are available?** The database contains approximately 3,500+ wines across all six categories: reds (~700), whites (~500), sparkling (~700), rosé (~500), dessert wines (~600), and port (~400). **Are prices included?** No — the public database does not include pricing data. **How often is the data updated?** The underlying database is maintained by the public API. The actor fetches fresh data on each run. **Can I search for a specific wine by exact name?** Use `mode=search` with `searchQuery` set to part of the wine name. The match is case-insensitive and searches both the wine name and winery field. **What does the vintage field contain?** The vintage year (e.g., 2015) is extracted from the wine name string. Wines labeled "N.V." (non-vintage) will not have a vintage field. **How are ratings scored?** Ratings are community scores on a 1.0–5.0 scale, aggregated from wine enthusiast reviews. ### Data source Wine data sourced from [Sample APIs — Wines](https://sampleapis.com/api-list/wines), a freely available, publicly accessible wine database. No credentials required. # Actor input Schema ## `mode` (type: `string`): What to fetch. ## `searchQuery` (type: `string`): Free-text query matched against wine name and winery (mode=search). Example: 'cabernet' or 'bordeaux'. ## `wineType` (type: `string`): Wine category to fetch (used in mode=byType and as an optional filter in mode=search/all). ## `filterCountry` (type: `string`): Only return wines from this country (e.g. 'France', 'Italy', 'United States'). Case-insensitive partial match. ## `filterRegion` (type: `string`): Only return wines from this region (e.g. 'Bordeaux', 'Napa Valley', 'Tuscany'). Case-insensitive partial match. ## `filterWinery` (type: `string`): Only return wines from this winery. Case-insensitive partial match. ## `minRating` (type: `number`): Only return wines with a community rating at or above this value (1.0–5.0). ## `vintageMin` (type: `integer`): Only return wines with vintage year at or after this value. ## `vintageMax` (type: `integer`): Only return wines with vintage year at or before this value. ## `maxItems` (type: `integer`): Hard cap on emitted records. ## Actor input object example ```json { "mode": "search", "searchQuery": "cabernet", "wineType": "reds", "maxItems": 100 } ```` # Actor output Schema ## `wines` (type: `string`): Dataset containing all scraped wine 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 = { "mode": "search", "searchQuery": "cabernet", "wineType": "reds", "maxItems": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/wine-api-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 = { "mode": "search", "searchQuery": "cabernet", "wineType": "reds", "maxItems": 100, } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/wine-api-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 '{ "mode": "search", "searchQuery": "cabernet", "wineType": "reds", "maxItems": 100 }' | apify call crawlerbros/wine-api-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/wine-api-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Wine API Scraper", "description": "Scrape wine data from a public wine database - search reds, whites, sparkling, rosé, dessert wines and port by name, winery, country, or region. Returns wine name, winery, vintage, rating, reviews count, country, region, and image URL.", "version": "1.0", "x-build-id": "XKAaEcym6smbCuakN" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~wine-api-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-wine-api-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~wine-api-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-wine-api-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~wine-api-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-wine-api-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "search", "byType", "all" ], "type": "string", "description": "What to fetch.", "default": "search" }, "searchQuery": { "title": "Search query", "type": "string", "description": "Free-text query matched against wine name and winery (mode=search). Example: 'cabernet' or 'bordeaux'.", "default": "cabernet" }, "wineType": { "title": "Wine type", "enum": [ "reds", "whites", "sparkling", "rose", "dessert", "port" ], "type": "string", "description": "Wine category to fetch (used in mode=byType and as an optional filter in mode=search/all).", "default": "reds" }, "filterCountry": { "title": "Filter by country", "type": "string", "description": "Only return wines from this country (e.g. 'France', 'Italy', 'United States'). Case-insensitive partial match." }, "filterRegion": { "title": "Filter by region", "type": "string", "description": "Only return wines from this region (e.g. 'Bordeaux', 'Napa Valley', 'Tuscany'). Case-insensitive partial match." }, "filterWinery": { "title": "Filter by winery", "type": "string", "description": "Only return wines from this winery. Case-insensitive partial match." }, "minRating": { "title": "Minimum rating", "minimum": 1, "maximum": 5, "type": "number", "description": "Only return wines with a community rating at or above this value (1.0–5.0)." }, "vintageMin": { "title": "Vintage year (min)", "minimum": 1800, "maximum": 2030, "type": "integer", "description": "Only return wines with vintage year at or after this value." }, "vintageMax": { "title": "Vintage year (max)", "minimum": 1800, "maximum": 2030, "type": "integer", "description": "Only return wines with vintage year at or before this value." }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Hard cap on emitted records.", "default": 100 } } }, "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 } } } } } } } } } } ```