# Recipe JSON-LD Bulk Harvester (`jungle_synthesizer/recipe-jsonld-bulk-harvester`) Actor Harvest structured recipe data from any food blog. URL mode: scrape a provided list. Domain mode: auto-discover the sitemap, filter Recipe pages, and crawl them. Extracts name, author, parsed ingredients, instructions, nutrition, and ratings from schema.org/Recipe JSON-LD and hRecipe microformat. - **URL**: https://apify.com/jungle\_synthesizer/recipe-jsonld-bulk-harvester.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** AI, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN 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 ## Recipe JSON-LD Bulk Harvester Harvest structured recipe data from any food blog or website. Unlike tools that only work on a fixed list of known sites, this actor works on **any** domain — supply URLs directly or let the actor auto-discover the site's sitemap and find all recipe pages automatically. ### What it does - **URL mode**: Provide a list of recipe page URLs (or a text file of URLs) and scrape each one. - **Domain mode**: Provide one or more domain names and the actor fetches `robots.txt`, discovers the site's sitemap(s), filters pages that look like recipes, and crawls them up to your `maxItems` limit. Data is extracted from `schema.org/Recipe` JSON-LD (the near-universal standard used by virtually every food blog for Google rich results) with an hRecipe microformat fallback for legacy sites. ### What you get Each result record contains: | Field | Description | |-------|-------------| | `name` | Recipe title | | `author` | Author name | | `description` | Recipe summary | | `recipe_category` | Category (e.g. Dessert, Main Course) | | `recipe_cuisine` | Cuisine type (e.g. Italian, Mexican) | | `prep_time` | Preparation time (ISO 8601, e.g. PT15M) | | `cook_time` | Cook time (ISO 8601) | | `total_time` | Total time | | `recipe_yield` | Servings (e.g. "4 servings") | | `recipe_ingredient` | Raw ingredient strings from the page | | `recipe_ingredient_parsed` | **Structured ingredients** — each parsed to "quantity unit item, prep" | | `recipe_instructions` | Step-by-step instructions (one per array item) | | `nutrition` | Nutrition facts as JSON string (calories, fat, protein, carbs, etc.) | | `aggregate_rating` | Star rating (number) | | `rating_count` | Number of ratings | | `keywords` | Recipe tags/keywords | | `image_urls` | Recipe photo URLs | | `video_url` | Recipe video URL if present | | `date_published` | Publication date (ISO 8601) | | `source_domain` | Domain scraped | | `url` | Full page URL | | `schema_type` | Extraction method: `recipe-jsonld`, `hrecipe-microformat`, or `none` | | `extraction_warnings` | Non-fatal issues (missing fields, parse errors) | #### Structured ingredient parser The `recipe_ingredient_parsed` field is the headline feature — it breaks each raw ingredient string into structured components: ```` "2 cups all-purpose flour, sifted" -> "2 cups all-purpose flour, sifted" "1/2 tsp kosher salt" -> "0.5 tsp kosher salt" "1 large egg, at room temperature" -> "1 egg, at room temperature" ```` Handles Unicode fractions, mixed fractions ("1 1/2"), and common unit abbreviations. ### Input #### URL mode ```json { "urls": [ "https://www.allrecipes.com/recipe/10813/best-chocolate-chip-cookies/", "https://www.simplyrecipes.com/best-easy-roast-chicken-recipe-5207046" ], "maxItems": 100 } ```` You can also use `requestsFromUrl` to point to a plain-text file with one URL per line. #### Domain mode ```json { "domains": [ "www.seriouseats.com", "www.kingarthurbaking.com" ], "maxItems": 500 } ``` The actor fetches `robots.txt` from each domain, discovers listed sitemaps (or falls back to `/sitemap.xml`), traverses sitemap indexes, and filters URLs that look like recipe pages. #### Input fields | Field | Type | Description | |-------|------|-------------| | `urls` | array | Recipe page URLs to scrape (URL mode) | | `domains` | array | Domains to auto-discover and crawl (domain mode) | | `maxItems` | integer | Maximum results to return (0 = unlimited) | | `requestsFromUrl` | string | URL of a text file with one recipe URL per line | Provide either `urls` (+ optional `requestsFromUrl`) **or** `domains` — not both. ### How it works **URL mode** — The actor resolves the URL list, crawls each page, and extracts recipe data directly. **Domain mode** — For each domain: 1. Fetch `robots.txt` to discover sitemap URLs 2. Fall back to `/sitemap.xml` if robots.txt lists none 3. Walk sitemap indexes to find leaf sitemaps 4. Filter URLs by recipe-path heuristics (path contains `/recipe/`, slug has 3+ hyphen-separated words, etc.) 5. Crawl each filtered URL and extract recipe data ### Supported sites Works on any food blog or cooking site that emits `schema.org/Recipe` JSON-LD — which covers the vast majority of food sites since Google requires it for recipe rich results. This includes: - Recipe-plugin-powered WordPress sites (Tasty Recipes, WP Recipe Maker, Recipe Card Blocks, etc.) - Major food media (Allrecipes, Simply Recipes, Serious Eats, Food Network, BBC Good Food, etc.) - Independent food bloggers - Any site using hRecipe microformat (legacy support) ### Pricing Billed per recipe record saved. The default pricing profile charges a small fee per record plus a run start fee. ### Notes - Rate limiting: The actor respects per-domain rate limiting — sites that throttle will be retried with backoff automatically. - Paywalled pages: Pages that return 403 or require login will be skipped with a warning in `extraction_warnings`. - Missing schema: Pages where no Recipe schema is found produce a stub record with `schema_type: "none"` and a warning. # 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. ## `urls` (type: `array`): List of recipe page URLs to scrape. Use this for URL mode. Provide either "urls" or "domains" (not both). Each item can be a URL string or an { "url": "..." } object. ## `domains` (type: `array`): List of food blog domains to auto-discover and crawl via sitemap (e.g. "example.com" or "https://example.com"). For each domain the actor fetches robots.txt to find the sitemap, filters recipe URLs, and scrapes all matching pages up to maxItems. ## `maxItems` (type: `integer`): Maximum number of recipe records to return (0 = unlimited). Applies across all URLs/domains combined. ## `requestsFromUrl` (type: `string`): Remote URL pointing to a plain-text file with one recipe URL per line. If set, combined with any "urls" list provided. ## 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...", "urls": [ "https://www.allrecipes.com/recipe/10813/best-chocolate-chip-cookies/", "https://www.bbcgoodfood.com/recipes/banana-bread", "https://tasty.co/recipe/one-pot-pasta" ], "domains": [], "maxItems": 10 } ``` # 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...", "urls": [ "https://www.allrecipes.com/recipe/10813/best-chocolate-chip-cookies/", "https://www.bbcgoodfood.com/recipes/banana-bread", "https://tasty.co/recipe/one-pot-pasta" ], "domains": [], "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/recipe-jsonld-bulk-harvester").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...", "urls": [ "https://www.allrecipes.com/recipe/10813/best-chocolate-chip-cookies/", "https://www.bbcgoodfood.com/recipes/banana-bread", "https://tasty.co/recipe/one-pot-pasta", ], "domains": [], "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/recipe-jsonld-bulk-harvester").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...", "urls": [ "https://www.allrecipes.com/recipe/10813/best-chocolate-chip-cookies/", "https://www.bbcgoodfood.com/recipes/banana-bread", "https://tasty.co/recipe/one-pot-pasta" ], "domains": [], "maxItems": 10 }' | apify call jungle_synthesizer/recipe-jsonld-bulk-harvester --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/recipe-jsonld-bulk-harvester", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Recipe JSON-LD Bulk Harvester", "description": "Harvest structured recipe data from any food blog. URL mode: scrape a provided list. Domain mode: auto-discover the sitemap, filter Recipe pages, and crawl them. Extracts name, author, parsed ingredients, instructions, nutrition, and ratings from schema.org/Recipe JSON-LD and hRecipe microformat.", "version": "0.1", "x-build-id": "ftJRRboTgceh1a4D9" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~recipe-jsonld-bulk-harvester/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-recipe-jsonld-bulk-harvester", "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~recipe-jsonld-bulk-harvester/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-recipe-jsonld-bulk-harvester", "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~recipe-jsonld-bulk-harvester/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-recipe-jsonld-bulk-harvester", "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": { "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." }, "urls": { "title": "Recipe URLs", "type": "array", "description": "List of recipe page URLs to scrape. Use this for URL mode. Provide either \"urls\" or \"domains\" (not both). Each item can be a URL string or an { \"url\": \"...\" } object.", "items": { "type": "string" } }, "domains": { "title": "Domains to crawl", "type": "array", "description": "List of food blog domains to auto-discover and crawl via sitemap (e.g. \"example.com\" or \"https://example.com\"). For each domain the actor fetches robots.txt to find the sitemap, filters recipe URLs, and scrapes all matching pages up to maxItems.", "items": { "type": "string" } }, "maxItems": { "title": "Max Results", "type": "integer", "description": "Maximum number of recipe records to return (0 = unlimited). Applies across all URLs/domains combined.", "default": 10 }, "requestsFromUrl": { "title": "URL source file", "type": "string", "description": "Remote URL pointing to a plain-text file with one recipe URL per line. If set, combined with any \"urls\" list provided." } } }, "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 } } } } } } } } } } ```