# CalorieKing Food & Nutrition Scraper (`crawlerbros/calorieking-scraper`) Actor Scrape CalorieKing's nutritional database - search foods by keyword, get detailed nutrition facts including calories, protein, fat, carbs, fiber, sugar, sodium, cholesterol, and vitamins. Browse by brand or category. - **URL**: https://apify.com/crawlerbros/calorieking-scraper.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** Automation, Developer tools, Integrations - **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 ## CalorieKing Food & Nutrition Scraper Scrape [CalorieKing](https://www.calorieking.com) — one of the most comprehensive nutritional databases available online. Search foods by keyword, get detailed nutrition facts including macronutrients, vitamins, and minerals. Browse by brand or food category. ### What does CalorieKing Scraper do? CalorieKing has nutritional data for over 100,000 foods including restaurant items, branded packaged foods, and generic food items. This scraper lets you: - **Search food by keyword** — find nutrition facts for any food by name - **Food details** — get complete nutrition panel from a specific food page - **Brand foods** — find all foods from a specific brand (McDonald's, Starbucks, etc.) - **Category browse** — explore foods by category (fruits, meats, fast foods, etc.) ### Output fields | Field | Description | |---|---| | `foodId` | CalorieKing food ID | | `name` | Food name | | `brand` | Brand or manufacturer | | `servingSize` | Serving size amount | | `servingUnit` | Serving size unit (g, oz, cup, etc.) | | `calories` | Calories per serving | | `protein` | Protein in grams | | `fat` | Total fat in grams | | `carbohydrates` | Total carbohydrates in grams | | `fiber` | Dietary fiber in grams | | `sugar` | Total sugars in grams | | `sodium` | Sodium in milligrams | | `cholesterol` | Cholesterol in milligrams | | `saturatedFat` | Saturated fat in grams | | `vitaminA` | Vitamin A (IU or %) | | `vitaminC` | Vitamin C (mg or %) | | `calcium` | Calcium (mg or %) | | `iron` | Iron (mg or %) | | `potassium` | Potassium in milligrams | | `imageUrl` | Food image URL | | `foodUrl` | CalorieKing food page URL | | `scrapedAt` | ISO timestamp | ### Input configuration #### Mode: Search Food (`searchFood`) ```json { "mode": "searchFood", "keyword": "chicken breast", "maxItems": 20 } ```` #### Mode: Brand Foods (`brandFoods`) ```json { "mode": "brandFoods", "brand": "McDonald's", "maxItems": 50 } ``` #### Mode: Category Browse (`categoryBrowse`) ```json { "mode": "categoryBrowse", "category": "fast-foods", "maxItems": 100 } ``` #### Mode: Food Details (`foodDetails`) ```json { "mode": "foodDetails", "foodUrl": "https://www.calorieking.com/us/en/foods/..." } ``` ### Use cases - **Nutrition apps** — build food databases for calorie tracking applications - **Diet planning** — analyze nutritional content across food categories - **Restaurant analysis** — compare nutritional profiles of fast food items - **Research** — collect nutrition data for dietary studies - **Health & wellness** — create nutritional guides for specific diets ### FAQ **Does this require a login?** No. CalorieKing's nutritional data is publicly accessible. **What nutrition values are available?** Calories, protein, fat, carbohydrates, fiber, sugar, sodium, cholesterol, saturated fat, and key vitamins/minerals. **Can I get nutrition for restaurant foods?** Yes. CalorieKing has data for thousands of restaurant chains including McDonald's, Starbucks, Subway, and more. # Actor input Schema ## `mode` (type: `string`): How to search for food nutrition data. ## `keyword` (type: `string`): Food name or keyword to search for (mode=searchFood). ## `brand` (type: `string`): Brand name to filter results by (mode=brandFoods). ## `category` (type: `string`): Food category to browse (mode=categoryBrowse). ## `foodUrl` (type: `string`): Direct CalorieKing food URL for detailed nutrition (mode=foodDetails). ## `maxItems` (type: `integer`): Maximum number of food items to return. ## Actor input object example ```json { "mode": "searchFood", "keyword": "chicken breast", "maxItems": 20 } ``` # Actor output Schema ## `foods` (type: `string`): Dataset containing all scraped food nutrition 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": "searchFood", "keyword": "chicken breast", "maxItems": 20 }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/calorieking-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": "searchFood", "keyword": "chicken breast", "maxItems": 20, } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/calorieking-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": "searchFood", "keyword": "chicken breast", "maxItems": 20 }' | apify call crawlerbros/calorieking-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/calorieking-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "CalorieKing Food & Nutrition Scraper", "description": "Scrape CalorieKing's nutritional database - search foods by keyword, get detailed nutrition facts including calories, protein, fat, carbs, fiber, sugar, sodium, cholesterol, and vitamins. Browse by brand or category.", "version": "1.0", "x-build-id": "3EgWmae6B6uDbhhpU" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~calorieking-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-calorieking-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~calorieking-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-calorieking-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~calorieking-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-calorieking-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searchFood", "foodDetails", "brandFoods", "categoryBrowse" ], "type": "string", "description": "How to search for food nutrition data.", "default": "searchFood" }, "keyword": { "title": "Search Keyword", "type": "string", "description": "Food name or keyword to search for (mode=searchFood).", "default": "chicken breast" }, "brand": { "title": "Brand Name", "type": "string", "description": "Brand name to filter results by (mode=brandFoods)." }, "category": { "title": "Food Category", "enum": [ "fast-foods", "fruits", "vegetables", "dairy-products", "meats", "seafood", "breads-cereals", "snacks", "beverages", "desserts", "condiments-sauces", "soups", "frozen-foods" ], "type": "string", "description": "Food category to browse (mode=categoryBrowse)." }, "foodUrl": { "title": "Food URL", "type": "string", "description": "Direct CalorieKing food URL for detailed nutrition (mode=foodDetails)." }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of food items to return.", "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 } } } } } } } } } } ```