# USDA FDC Recipe Nutrition Enricher (`jungle_synthesizer/usda-fdc-recipe-nutrition-enricher`) Actor Parse any recipe (URL or ingredient list) and compute full per-serving nutrition facts + %DV using USDA FoodData Central. Returns calories, protein, fat, carbs, fiber, sodium, and 20+ micronutrients per serving with match-coverage score and unmatched-ingredient transparency for QA. - **URL**: https://apify.com/jungle\_synthesizer/usda-fdc-recipe-nutrition-enricher.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Developer tools, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 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 ## USDA FDC Recipe Nutrition Enricher Parse any recipe — supply a URL with embedded schema.org/Recipe JSON-LD or a plain-text ingredient list — and get back a full per-serving nutrition panel sourced from the **USDA FoodData Central** (FDC) database. Every meal-planning app, recipe site, and food-tech team needs per-serving macros for recipes that don't publish a nutrition block. This actor is the join nobody else on Apify sells: ingredient text → USDA food resolution → gram conversion → nutrient summation → per-serving figures + %DV. --- ### What it does 1. **Ingests** a recipe URL (extracts the `recipeIngredient` list from JSON-LD) or a direct ingredient array. 2. **Parses** each ingredient line into quantity, unit, and item name (e.g. `"2 cups all-purpose flour"` → `{qty:2, unit:"cups", item:"all-purpose flour"}`). 3. **Resolves** each item against the USDA FDC search API, preferring Foundation → SR Legacy → Survey (FNDDS) → Branded data types for maximum nutrient coverage. 4. **Converts** quantities to grams using FDC household-portion data when available, falling back to a standard volume/weight table. 5. **Sums** 30+ nutrients across all ingredients, divides by serving yield, and computes %DV using the FDA 2020 Daily Value reference values. 6. **Returns** one output record per recipe with full transparency: resolved ingredient details, unmatched ingredients, match-coverage score, and a list of conversion assumptions. --- ### Input | Field | Type | Description | |-------|------|-------------| | `recipeUrl` | string (optional) | URL of a page with a `schema.org/Recipe` JSON-LD block. One of `recipeUrl` or `ingredients` must be provided. | | `ingredients` | string[] (optional) | Plain-text ingredient lines (e.g. `"1/2 cup unsalted butter"`). Overrides any ingredients from `recipeUrl`. | | `servings` | integer (optional) | Override the recipe's declared yield. Defaults to the value in JSON-LD or 4 if not found. | | `apiKey` | string (optional) | Your own free api.data.gov key ([sign up here](https://api.data.gov/signup/)). If omitted the actor uses the OrbLabs shared key. | | `maxItems` | integer | Maximum enriched recipes to output per run. Default: 5. | #### Example — inline ingredient list ```json { "ingredients": [ "2 cups all-purpose flour", "1 cup granulated sugar", "2 large eggs", "1/2 cup unsalted butter", "1 tsp vanilla extract", "1/4 tsp salt", "1/2 cup whole milk" ], "servings": 12, "maxItems": 5 } ```` #### Example — recipe URL ```json { "recipeUrl": "https://www.food.com/recipe/definitely-macaroni-salad-24024", "maxItems": 5 } ``` *** ### Output Each output record has these fields: | Field | Type | Description | |-------|------|-------------| | `recipe_url` | string | Source URL (null for inline ingredient input) | | `recipe_name` | string | Recipe title from JSON-LD | | `recipe_yield_servings` | number | Number of servings used for calculations | | `ingredients_resolved` | JSON string | Array of resolved ingredients: `{raw_text, parsed_qty, parsed_unit, parsed_item, matched_fdc_id, fdc_description, match_confidence, grams}` | | `ingredients_unmatched` | JSON string | Array of `{raw_text, reason}` for ingredients that could not be resolved | | `nutrition_total` | JSON string | Summed raw nutrient amounts for the whole recipe | | `nutrition_per_serving` | JSON string | `nutrition_total` divided by serving yield: `{kcal, protein_g, fat_g, sat_fat_g, carbs_g, sugars_g, fiber_g, sodium_mg, cholesterol_mg, ...30 micros}` | | `daily_value_pct` | JSON string | Per-serving values as %DV using 2020 FDA reference values | | `match_coverage_pct` | number | Percentage of ingredients successfully matched (quality indicator) | | `assumptions` | JSON string | Human-readable notes about unit conversions and portion assumptions | #### Sample output record ```json { "recipe_url": null, "recipe_name": "", "recipe_yield_servings": 12, "nutrition_per_serving": "{\"kcal\":252.9,\"protein_g\":6.7,\"fat_g\":10.7,\"carbs_g\":52.9,\"fiber_g\":0,\"sodium_mg\":70.7}", "daily_value_pct": "{\"kcal\":12.6,\"protein_g\":13.4,\"fat_g\":13.8,\"carbs_g\":19.2,\"sodium_mg\":3.1}", "match_coverage_pct": 100, "ingredients_unmatched": "[]" } ``` *** ### Data source All nutrition data comes from the **USDA FoodData Central** (FDC) database — the authoritative US government nutrition reference, including Foundation Foods, SR Legacy, Survey (FNDDS), and Branded Foods. Access requires a free [api.data.gov](https://api.data.gov/signup/) key (1,000 requests/hour). The actor provides a shared key for low-volume use; supply your own for production-scale runs. *** ### Match coverage and confidence - **`match_confidence`** on each resolved ingredient reflects the FDC data type: Foundation (0.95) → SR Legacy (0.90) → Survey FNDDS (0.80) → Branded (0.65). Use Foundation/SR Legacy matches for the most reliable nutrient figures. - **`match_coverage_pct`** is the share of ingredients that found an FDC match. Values below 70% are flagged with a warning in `assumptions`. Unmatched ingredients are listed in `ingredients_unmatched` with the reason (no FDC match, search API error, etc.). - Gram conversions use FDC household-portion data when available; the fallback volume-weight table covers cups, tablespoons, teaspoons, ounces, and common whole-item units. All fallback conversions are recorded in `assumptions`. *** ### Rate limits The free api.data.gov key allows 1,000 requests per hour. The actor paces requests at 500 ms intervals, yielding approximately 120 requests per minute — well within the limit for typical recipe enrichment workloads. For bulk batch runs (hundreds of recipes), supply your own api.data.gov key. *** ### Use cases - Enrich community recipes that omit a nutrition block for meal-planning apps - Build a recipe-to-nutrition dataset for food-tech ML training - Verify or supplement manually entered nutrition data - Generate nutrition labels for original recipes before publication # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `recipeUrl` (type: `string`): URL of a page containing a Recipe JSON-LD block (schema.org/Recipe). Either this or ingredients must be supplied. ## `ingredients` (type: `array`): Plain-text ingredient lines (e.g. "2 cups all-purpose flour"). Overrides any ingredients parsed from recipeUrl. At least one of recipeUrl or ingredients must be provided. ## `servings` (type: `integer`): Override the recipe's yield with a custom serving count. Useful when the recipe URL does not declare a yield or you want a different portion size. ## `apiKey` (type: `string`): Your own free api.data.gov key (https://api.data.gov/signup/). If omitted the actor uses the OrbLabs shared key. Supply your own key for high-volume production runs. ## `maxItems` (type: `integer`): Maximum number of enriched recipes to output per run. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "recipeUrl": "https://www.allrecipes.com/recipe/11691/classic-macaroni-salad/", "maxItems": 5 } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "recipeUrl": "https://www.allrecipes.com/recipe/11691/classic-macaroni-salad/", "maxItems": 5 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/usda-fdc-recipe-nutrition-enricher").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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "recipeUrl": "https://www.allrecipes.com/recipe/11691/classic-macaroni-salad/", "maxItems": 5, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/usda-fdc-recipe-nutrition-enricher").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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "recipeUrl": "https://www.allrecipes.com/recipe/11691/classic-macaroni-salad/", "maxItems": 5 }' | apify call jungle_synthesizer/usda-fdc-recipe-nutrition-enricher --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/usda-fdc-recipe-nutrition-enricher", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "USDA FDC Recipe Nutrition Enricher", "description": "Parse any recipe (URL or ingredient list) and compute full per-serving nutrition facts + %DV using USDA FoodData Central. Returns calories, protein, fat, carbs, fiber, sodium, and 20+ micronutrients per serving with match-coverage score and unmatched-ingredient transparency for QA.", "version": "0.1", "x-build-id": "levlUN34mi0F1pSGu" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~usda-fdc-recipe-nutrition-enricher/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-usda-fdc-recipe-nutrition-enricher", "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/jungle_synthesizer~usda-fdc-recipe-nutrition-enricher/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-usda-fdc-recipe-nutrition-enricher", "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/jungle_synthesizer~usda-fdc-recipe-nutrition-enricher/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-usda-fdc-recipe-nutrition-enricher", "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": [ "maxItems" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "recipeUrl": { "title": "Recipe URL", "type": "string", "description": "URL of a page containing a Recipe JSON-LD block (schema.org/Recipe). Either this or ingredients must be supplied." }, "ingredients": { "title": "Ingredients", "type": "array", "description": "Plain-text ingredient lines (e.g. \"2 cups all-purpose flour\"). Overrides any ingredients parsed from recipeUrl. At least one of recipeUrl or ingredients must be provided.", "items": { "type": "string" } }, "servings": { "title": "Servings (yield override)", "type": "integer", "description": "Override the recipe's yield with a custom serving count. Useful when the recipe URL does not declare a yield or you want a different portion size." }, "apiKey": { "title": "USDA FDC API Key (optional)", "type": "string", "description": "Your own free api.data.gov key (https://api.data.gov/signup/). If omitted the actor uses the OrbLabs shared key. Supply your own key for high-volume production runs." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of enriched recipes to output per run.", "default": 5 } } }, "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 } } } } } } } } } } ```