# Epicurious Recipe Scraper (`lulzasaur/epicurious-scraper`) Actor Scrape recipes from Epicurious.com. Get ingredients, instructions, prep/cook times, ratings, nutrition info, dietary tags, and servings. Search by keyword, ingredient, or cuisine. - **URL**: https://apify.com/lulzasaur/epicurious-scraper.md - **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 1,000 results 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 ## Epicurious Recipe Scraper Scrape recipes from [Epicurious.com](https://www.epicurious.com), the Conde Nast recipe database with 35,000+ tested recipes. Search by keyword, ingredient, or cuisine and extract full recipe details including ingredients, step-by-step instructions, nutrition info, ratings, prep/cook times, and dietary tags. ### Features - **Search by keyword** — Find recipes by name, ingredient, or cuisine (e.g. "pasta carbonara", "chicken tikka", "vegan dessert") - **Full recipe details** — Ingredients lists, step-by-step instructions, prep/cook/total time, servings - **Ratings and reviews** — Average rating (out of 4) and review count - **Dietary tags** — Automatically classifies recipes (vegan, gluten-free, nut-free, etc.) - **Cuisine and course** — Detects cuisine type (Italian, Mexican, etc.) and meal type (dinner, dessert, etc.) - **High-quality images** — Recipe photo URLs from Epicurious CDN - **Fast listing mode** — Get recipe summaries without visiting each page for quick discovery ### Input | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `searchQueries` | string[] | `["pasta carbonara"]` | Recipe names, ingredients, or cuisines to search | | `maxListings` | integer | `100` | Max recipes per query (0 = unlimited) | | `scrapeDetails` | boolean | `false` | Visit each recipe page for full ingredients/instructions | | `proxyConfiguration` | object | — | Optional proxy settings | #### Example Input ```json { "searchQueries": ["pasta carbonara", "chocolate cake", "vegan curry"], "maxListings": 20, "scrapeDetails": true } ```` ### Output Each recipe result includes: | Field | Type | Description | |-------|------|-------------| | `title` | string | Recipe name | | `description` | string | Short recipe description | | `ingredients` | string\[] | List of ingredients (detail mode only) | | `instructions` | string\[] | Step-by-step cooking instructions (detail mode only) | | `prepTime` | string | Preparation time | | `cookTime` | string | Cooking time | | `totalTime` | string | Total time | | `servings` | string | Number of servings or yield | | `calories` | string | Calorie count if available | | `rating` | number | Average rating (out of 4) | | `ratingCount` | number | Number of reviews | | `author` | string | Recipe author | | `cuisine` | string | Detected cuisine type | | `course` | string | Meal type (dinner, dessert, etc.) | | `dietaryTags` | string\[] | Dietary classifications | | `imageUrl` | string | Recipe photo URL | | `url` | string | Full Epicurious recipe URL | | `searchQuery` | string | The search query that found this recipe | | `scrapedAt` | string | ISO timestamp of when the recipe was scraped | #### Example Output ```json { "title": "The Silkiest Carbonara", "description": null, "ingredients": [ "1/4 pound guanciale or pancetta, cut into 1/3\" cubes", "7 large egg yolks", "1 large egg", "1 pound rigatoni", "Kosher salt", "1/2 cup finely grated Pecorino or Parmesan plus more for garnish", "3/4 teaspoon freshly ground green peppercorns", "3/4 teaspoon freshly ground pink pepper", "1/2 teaspoon freshly ground white pepper", "Freshly ground black pepper" ], "instructions": [ "Put guanciale in a large skillet and place over medium-low heat...", "Meanwhile, cook pasta in a large pot of boiling salted water...", "To egg mixture, immediately add rigatoni...", "Divide among bowls. Garnish with Pecorino." ], "prepTime": null, "cookTime": null, "totalTime": null, "servings": "4-6 servings", "calories": null, "rating": 3.8, "ratingCount": null, "author": "Barbara Lynch", "cuisine": "Italian", "course": "Main", "dietaryTags": ["Nut Free"], "imageUrl": "https://assets.epicurious.com/photos/...", "url": "https://www.epicurious.com/recipes/food/views/the-silkiest-carbonara-395077", "searchQuery": "pasta carbonara", "scrapedAt": "2026-04-26T12:00:00.000Z" } ``` ### How It Works 1. **Search** — Queries the Epicurious search page and extracts recipe listings from the server-rendered `__PRELOADED_STATE__` JSON 2. **Paginate** — Automatically follows pagination to collect up to `maxListings` recipes per query 3. **Detail scrape** (optional) — Visits each recipe page and parses ingredients, instructions, times, and tags from the HTML using `data-testid` selectors 4. **Classify** — Automatically tags recipes with cuisine type, course, and dietary information based on Epicurious tags ### Tips - **Quick discovery**: Set `scrapeDetails: false` for fast results with titles, ratings, and descriptions - **Full data**: Set `scrapeDetails: true` to get ingredients, instructions, and cooking times - **Broad search**: Use generic terms like "chicken", "vegan", "quick dinner" for diverse results - **Specific recipes**: Use exact recipe names like "pasta carbonara" or "beef wellington" ### Cost This actor uses pay-per-event pricing. Each recipe result costs a small amount of platform credits. Use `maxListings` to control costs. # Actor input Schema ## `searchQueries` (type: `array`): Recipe names, ingredients, or cuisines to search for. E.g. 'pasta carbonara', 'chicken tikka', 'vegan dessert'. ## `maxListings` (type: `integer`): Maximum number of recipes to scrape per search query. Set 0 for unlimited. ## `scrapeDetails` (type: `boolean`): If true, visits each recipe page to get full ingredients, instructions, nutrition, and prep/cook times. If false, returns search listing data only. ## `proxyConfiguration` (type: `object`): Optional proxy to use. ## Actor input object example ```json { "searchQueries": [ "pasta carbonara" ], "maxListings": 100, "scrapeDetails": false } ``` # 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 = { "searchQueries": [ "pasta carbonara" ] }; // Run the Actor and wait for it to finish const run = await client.actor("lulzasaur/epicurious-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 = { "searchQueries": ["pasta carbonara"] } # Run the Actor and wait for it to finish run = client.actor("lulzasaur/epicurious-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 '{ "searchQueries": [ "pasta carbonara" ] }' | apify call lulzasaur/epicurious-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lulzasaur/epicurious-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Epicurious Recipe Scraper", "description": "Scrape recipes from Epicurious.com. Get ingredients, instructions, prep/cook times, ratings, nutrition info, dietary tags, and servings. Search by keyword, ingredient, or cuisine.", "version": "1.0", "x-build-id": "6vsmZLVpNlGBoJxC8" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lulzasaur~epicurious-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lulzasaur-epicurious-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/lulzasaur~epicurious-scraper/runs": { "post": { "operationId": "runs-sync-lulzasaur-epicurious-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/lulzasaur~epicurious-scraper/run-sync": { "post": { "operationId": "run-sync-lulzasaur-epicurious-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", "properties": { "searchQueries": { "title": "Search Queries", "type": "array", "description": "Recipe names, ingredients, or cuisines to search for. E.g. 'pasta carbonara', 'chicken tikka', 'vegan dessert'.", "items": { "type": "string" } }, "maxListings": { "title": "Max Listings Per Query", "minimum": 0, "type": "integer", "description": "Maximum number of recipes to scrape per search query. Set 0 for unlimited.", "default": 100 }, "scrapeDetails": { "title": "Scrape Full Recipe Details", "type": "boolean", "description": "If true, visits each recipe page to get full ingredients, instructions, nutrition, and prep/cook times. If false, returns search listing data only.", "default": false }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional proxy to use." } } }, "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 } } } } } } } } } } ```