# Cronometer Food & Nutrition Database Scraper (`crawlerbros/cronometer-scraper`) Actor Scrape Cronometer's public nutrition database - search foods by keyword and get detailed nutrition facts including calories, macros, vitamins, and minerals. Cronometer is known for its comprehensive micronutrient tracking data. - **URL**: https://apify.com/crawlerbros/cronometer-scraper.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** Agents, Automation, 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 ## Cronometer Food & Nutrition Database Scraper Scrape [Cronometer](https://cronometer.com) — the most comprehensive nutrition tracking database available online. Known for its exceptional micronutrient data, Cronometer tracks 84+ nutrients including vitamins, minerals, and amino acids. Search foods and get detailed nutrition facts. ### What does Cronometer Scraper do? Cronometer's food database contains 950,000+ foods with complete nutritional profiles. This scraper lets you: - **Search foods by keyword** — find detailed nutrition data for any food - **Food details** — extract complete nutrition panel from a specific food page ### Output fields | Field | Description | |---|---| | `foodId` | Cronometer food ID | | `name` | Food name | | `brand` | Brand or data source | | `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 | | `vitaminA` | Vitamin A (IU or mcg) | | `vitaminC` | Vitamin C in milligrams | | `vitaminD` | Vitamin D in IU | | `vitaminE` | Vitamin E in milligrams | | `vitaminK` | Vitamin K in micrograms | | `vitaminB12` | Vitamin B12 in micrograms | | `folate` | Folate in micrograms | | `calcium` | Calcium in milligrams | | `iron` | Iron in milligrams | | `magnesium` | Magnesium in milligrams | | `potassium` | Potassium in milligrams | | `zinc` | Zinc in milligrams | | `foodUrl` | Cronometer food page URL | | `scrapedAt` | ISO timestamp | ### Input configuration #### Mode: Search Food (`searchFood`) ```json { "mode": "searchFood", "keyword": "avocado", "maxItems": 20 } ```` #### Mode: Food Details (`foodDetails`) ```json { "mode": "foodDetails", "foodUrl": "https://cronometer.com/food-database/avocado/..." } ``` ### Use cases - **Micronutrient analysis** — Cronometer is exceptional for tracking vitamins and minerals - **Diet optimization** — identify foods rich in specific micronutrients - **Nutrition research** — build comprehensive food nutrition datasets - **Health apps** — power nutrition tracking applications with detailed data - **Sports nutrition** — find foods with optimal macro and micronutrient profiles ### FAQ **Does this require a login?** Cronometer's public food database is accessible without authentication. **What makes Cronometer different from other nutrition databases?** Cronometer tracks 84+ nutrients including often-overlooked micronutrients like Vitamin K, selenium, chromium, and all amino acids. **What sources does Cronometer use?** Cronometer aggregates data from NCCDB, USDA, CRDB, and branded food entries submitted by users and manufacturers. # Actor input Schema ## `mode` (type: `string`): How to search the nutrition database. ## `keyword` (type: `string`): Food name to search for (mode=searchFood). E.g. 'chicken breast', 'avocado', 'oatmeal'. ## `dataType` (type: `string`): Filter by USDA data type. Foundation = raw foods, Branded = commercial products, SR Legacy = standard reference. ## `foodUrl` (type: `string`): USDA FoodData Central food URL or numeric FDC ID for detailed nutrition lookup (mode=foodDetails). E.g. https://fdc.nal.usda.gov/food-details/2187885/nutrients or just 2187885. ## `apiKey` (type: `string`): Free USDA FoodData Central API key from https://fdc.nal.usda.gov/api-guide.html. Without a key, uses DEMO\_KEY (1,000 req/hr limit). With a key: 3,600 req/hr. ## `maxItems` (type: `integer`): Maximum number of food items to return. ## Actor input object example ```json { "mode": "searchFood", "keyword": "chicken breast", "dataType": "", "apiKey": "DEMO_KEY", "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/cronometer-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/cronometer-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/cronometer-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/cronometer-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Cronometer Food & Nutrition Database Scraper", "description": "Scrape Cronometer's public nutrition database - search foods by keyword and get detailed nutrition facts including calories, macros, vitamins, and minerals. Cronometer is known for its comprehensive micronutrient tracking data.", "version": "1.0", "x-build-id": "BKIdtQuteVeAG6Bc7" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~cronometer-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-cronometer-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~cronometer-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-cronometer-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~cronometer-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-cronometer-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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" ], "type": "string", "description": "How to search the nutrition database.", "default": "searchFood" }, "keyword": { "title": "Search Keyword", "type": "string", "description": "Food name to search for (mode=searchFood). E.g. 'chicken breast', 'avocado', 'oatmeal'.", "default": "chicken breast" }, "dataType": { "title": "Data Type filter (optional)", "enum": [ "", "Foundation", "SR Legacy", "Branded", "Survey (FNDDS)" ], "type": "string", "description": "Filter by USDA data type. Foundation = raw foods, Branded = commercial products, SR Legacy = standard reference.", "default": "" }, "foodUrl": { "title": "Food URL or FDC ID", "type": "string", "description": "USDA FoodData Central food URL or numeric FDC ID for detailed nutrition lookup (mode=foodDetails). E.g. https://fdc.nal.usda.gov/food-details/2187885/nutrients or just 2187885." }, "apiKey": { "title": "USDA API Key (optional)", "type": "string", "description": "Free USDA FoodData Central API key from https://fdc.nal.usda.gov/api-guide.html. Without a key, uses DEMO_KEY (1,000 req/hr limit). With a key: 3,600 req/hr.", "default": "DEMO_KEY" }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 200, "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 } } } } } } } } } } ```