# Epicurious Recipe Scraper (`crawlerbros/epicurious-scraper`) Actor Scrape Epicurious.com - Condé Nast's premium recipe site. Search recipes, filter by cuisine/diet, or scrape specific recipe URLs. Returns ingredients, instructions, time, servings, and more. - **URL**: https://apify.com/crawlerbros/epicurious-scraper.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** Automation, Integrations, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 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 ## Epicurious Recipe Scraper Scrape recipes from [Epicurious.com](https://www.epicurious.com) — Condé Nast's award-winning recipe platform with thousands of tested recipes from Bon Appétit, Gourmet Magazine, and expert chefs. ### Features - **Search recipes** by keyword with optional cuisine, diet, and meal type filters - **Scrape specific URLs** — provide a list of recipe URLs to scrape directly - Extracts full recipe data: title, ingredients, step-by-step instructions, timing, servings, author, dietary info, and tags - No authentication, cookies, or proxy required — works out of the box - Handles pagination automatically to collect `maxItems` recipes ### Input | Field | Type | Description | |-------|------|-------------| | `mode` | select | `search` (default) or `byUrl` | | `searchQuery` | string | Keyword to search (e.g. `pasta carbonara`) | | `cuisine` | select | Cuisine filter (Italian, Mexican, Chinese, etc.) | | `diet` | select | Dietary filter (Vegetarian, Vegan, Gluten-Free, etc.) | | `mealType` | select | Meal type (Breakfast, Dinner, Dessert, etc.) | | `minRating` | integer | Drop recipes with a star rating (0-5) below this value | | `recipeUrls` | array | Specific Epicurious recipe URLs (for `byUrl` mode) | | `maxItems` | integer | Maximum number of recipes to return (default: 10) | ### Output Each dataset item represents one recipe: | Field | Type | Description | |-------|------|-------------| | `title` | string | Recipe name | | `url` | string | Epicurious recipe page URL | | `description` | string | Recipe headnote / description | | `author` | string | Recipe author | | `imageUrl` | string | Main recipe image URL | | `rating` | number | Average star rating (0-5), omitted for recipes with no ratings yet | | `reviewCount` | integer | Number of ratings behind the score | | `totalTime` | string | Total time (e.g. `45 min`, `1 hr 30 min`), omitted when the recipe doesn't publish it | | `cookTime` | string | Cook time, omitted when the recipe doesn't publish it | | `servings` | string | Yield / serving size | | `ingredients` | array | List of ingredient strings | | `instructions` | array | Step-by-step instructions | | `cuisine` | array | Cuisine tags | | `mealType` | array | Meal type tags | | `diet` | array | Inferred dietary labels | | `tags` | array | All recipe keywords/tags | | `publishedAt` | string | Publication date (YYYY-MM-DD) | | `updatedAt` | string | Last-updated date (YYYY-MM-DD), when the recipe has been revised | | `sourceUrl` | string | Canonical recipe URL | | `scrapedAt` | string | ISO timestamp of when record was scraped | | `recordType` | string | Always `"recipe"` | ### Example Output ```json { "title": "Chicken Caesar Pasta Salad", "url": "https://www.epicurious.com/recipes/food/views/ba-syn-chicken-caesar-pasta-salad", "description": "This pasta salad has all the best parts of a classic Caesar...", "author": "Shilpa Uskokovic", "imageUrl": "https://assets.epicurious.com/photos/...", "totalTime": "45 min", "servings": "4 servings", "ingredients": ["1 lb short pasta", "2 chicken breasts", "..."], "instructions": ["Cook pasta until al dente...", "..."], "cuisine": ["american"], "mealType": ["lunch", "dinner"], "diet": ["Nut-Free"], "tags": ["lunch", "dinner", "pasta", "chicken", "nut free"], "publishedAt": "2026-06-22", "sourceUrl": "https://www.epicurious.com/recipes/food/views/ba-syn-chicken-caesar-pasta-salad", "scrapedAt": "2026-06-30T12:00:00+00:00", "recordType": "recipe" } ```` ### FAQs **Q: Does this scraper require an API key or login?**\ A: No. Epicurious recipe pages are publicly accessible. **Q: How many recipes can I scrape?**\ A: Set `maxItems` up to 500. The scraper paginates search results automatically. **Q: Can I filter by multiple criteria?**\ A: Yes — combine `searchQuery`, `cuisine`, `diet`, and `mealType` in a single run. **Q: What is the data source?**\ A: All data is scraped from [epicurious.com](https://www.epicurious.com), which hosts recipes from Bon Appétit, Gourmet, and independent contributors. **Q: What happened to AllRecipes Scraper?**\ A: AllRecipes.com (owned by Dotdash Meredith) blocks all datacenter IPs and requires residential proxy — incompatible with a zero-cost workflow. Epicurious offers equivalent or better recipe data and is freely accessible. # Actor input Schema ## `mode` (type: `string`): How to find recipes: search by keyword with optional filters, or scrape specific recipe URLs. ## `searchQuery` (type: `string`): Recipe search keyword (e.g. pasta, chicken, vegan brownies). Required for mode=search. ## `cuisine` (type: `string`): Filter by cuisine type. ## `diet` (type: `string`): Filter by dietary requirement. ## `mealType` (type: `string`): Filter by meal type. ## `minRating` (type: `integer`): Drop recipes with a star rating (0-5) below this value. Recipes with no ratings yet are excluded when this is set. ## `recipeUrls` (type: `array`): List of specific Epicurious recipe URLs to scrape. Used only in byUrl mode. ## `maxItems` (type: `integer`): Maximum number of recipes to return. ## Actor input object example ```json { "mode": "search", "searchQuery": "pasta", "recipeUrls": [], "maxItems": 10 } ``` # Actor output Schema ## `recipes` (type: `string`): Dataset containing all scraped Epicurious recipes. # 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": "search", "searchQuery": "pasta", "recipeUrls": [], "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/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 = { "mode": "search", "searchQuery": "pasta", "recipeUrls": [], "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/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 '{ "mode": "search", "searchQuery": "pasta", "recipeUrls": [], "maxItems": 10 }' | apify call crawlerbros/epicurious-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/epicurious-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Epicurious Recipe Scraper", "description": "Scrape Epicurious.com - Condé Nast's premium recipe site. Search recipes, filter by cuisine/diet, or scrape specific recipe URLs. Returns ingredients, instructions, time, servings, and more.", "version": "1.0", "x-build-id": "27QgTYDFPS0540zy5" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~epicurious-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~epicurious-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-epicurious-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~epicurious-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-epicurious-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "search", "byUrl" ], "type": "string", "description": "How to find recipes: search by keyword with optional filters, or scrape specific recipe URLs.", "default": "search" }, "searchQuery": { "title": "Search query", "type": "string", "description": "Recipe search keyword (e.g. pasta, chicken, vegan brownies). Required for mode=search.", "default": "pasta" }, "cuisine": { "title": "Cuisine", "enum": [ "italian", "mexican", "chinese", "japanese", "indian", "french", "greek", "thai", "mediterranean", "american", "korean", "middle-eastern", "spanish", "vietnamese", "german", "british", "southern", "cajun/creole", "caribbean", "latin-american" ], "type": "string", "description": "Filter by cuisine type." }, "diet": { "title": "Dietary preference", "enum": [ "vegetarian", "vegan", "gluten-free", "dairy-free", "nut-free", "low-calorie", "low-fat", "low-sodium", "sugar-free", "kosher" ], "type": "string", "description": "Filter by dietary requirement." }, "mealType": { "title": "Meal type", "enum": [ "breakfast", "lunch", "dinner", "dessert", "appetizer", "snack", "drink", "soup", "salad", "side-dish" ], "type": "string", "description": "Filter by meal type." }, "minRating": { "title": "Minimum rating", "minimum": 0, "maximum": 5, "type": "integer", "description": "Drop recipes with a star rating (0-5) below this value. Recipes with no ratings yet are excluded when this is set." }, "recipeUrls": { "title": "Recipe URLs (mode=byUrl)", "type": "array", "description": "List of specific Epicurious recipe URLs to scrape. Used only in byUrl mode.", "default": [], "items": { "type": "string" } }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of recipes to return.", "default": 10 } } }, "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 } } } } } } } } } } ```