# AllRecipes Scraper - Low-costπŸ’²πŸ”₯🍽️ πŸ‘©β€πŸ³ (`delectable_incubator/allrecipes-scraper---low-cost`) Actor Scrape AllRecipes recipes by keyword πŸ½οΈπŸ” with a powerful recipe scraper. Extract titles, ratings, categories, images, and more structured data. Ideal for food bloggers, developers, and researchers building recipe databases, nutrition apps, and culinary content platforms πŸ“ŠπŸš€ - **URL**: https://apify.com/delectable\_incubator/allrecipes-scraper---low-cost.md - **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community) - **Categories:** Lead generation, Travel, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.00005 / actor start 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

AllRecipes Search Scraper - PrimeScrape

--- ### AllRecipes Search Scraper πŸ”πŸ“„πŸ‘©β€πŸ³πŸ½οΈ The AllRecipes Search Scraper is a fast, reliable, and scalable automation tool designed to extract structured recipe data directly from AllRecipes search results. It transforms raw recipe listings into clean, structured datasets ready for food analytics, content creation, trend discovery, and data-driven applications. --- ### AllRecipes Search Scraper πŸ₯—πŸ“ŠπŸ³ This scraper automatically extracts structured recipe data from AllRecipes based on keyword search. Ideal for food bloggers, developers, analysts, and data professionals. --- ### 🎯 What This Scraper Does Simply provide a keyword and the number of recipes to extract, and the scraper will automatically collect structured recipe data. βœ… Extracts recipe listings from AllRecipes βœ… Supports keyword-based search βœ… Handles pagination automatically βœ… Respects maxitems limits βœ… Cleans and structures recipe data βœ… Captures ratings, categories, and metadata βœ… Ready for analytics and integrations --- ### πŸ“Š Data Extracted 🍽️ Recipe Fields | Field | Description | | ----------------- | -------------------------------------------- | | πŸ†” `id` | Unique recipe identifier | | 🏷 `title` | Recipe title | | πŸ”— `url` | Direct recipe page URL | | πŸ–Ό `image_url` | Recipe image thumbnail | | ⭐ `rating` | Average user rating (out of 5) | | πŸ’¬ `rating_count` | Number of ratings submitted | | πŸ₯— `category` | Recipe category (e.g. dessert, pizza, vegan) | --- ### πŸ›  How to Use 1️⃣ Configure Input Provide a bulk keyword and max number of results: ```` { "keyword": \["pizza"], "maxitems": 100 } ``` 2️⃣ Run the Actor The scraper will: β€’ Perform keyword-based search β€’ Automatically paginate results β€’ Extract recipe listings β€’ Collect ratings and metadata β€’ Structure and clean the dataset 3️⃣ Export the Dataset Download your results in multiple formats: βœ… JSON βœ… CSV βœ… Excel βœ… XML βœ… HTML --- ### βš™οΈ Input Configuration #### πŸ“₯ Input Example ``` { "keyword": \["cake"], "maxitems": 100 } ``` #### Input Fields | Field | Type | Description | | ---------- | ------- | ------------------------------------------- | | `keyword` | array | Bulk Search keyword for recipes | | `maxitems` | integer | Maximum number of recipes to extract (≀100) | --- ### πŸ“€ Output Example ``` { "id": "6648543", "title": "Easy Homemade Pizza Dough", "url": "https://www.allrecipes.com/recipe/20171/quick-and-easy-pizza-crust/", "image\_url": "https://www.allrecipes.com/example.jpg", "rating": 4, "rating\_count": "4118", "category": "Pizza Dough and Crust Recipes" } ```` --- ### πŸ“Š Output explanation | Field | Description | | -------------- | ----------------- | | `id` | Recipe ID | | `title` | Recipe title | | `url` | Recipe link | | `image_url` | Recipe image | | `rating` | Rating score | | `rating_count` | Number of reviews | | `category` | Recipe category | --- ### 🌍 Why Use This Scraper? πŸ₯— Dataset Creation β€” Build structured recipe datasets πŸ“ˆ Trend Analysis β€” Discover popular recipes and cuisines πŸ”„ Automation β€” Schedule recurring data extraction 🧠 Content Creation β€” Feed blogs, apps, or platforms πŸ€– AI & Data β€” Train models on food and recipe data ⚑ Scalable β€” Designed for high-volume scraping --- ### ⚠️ Disclaimer This tool is an independent solution and is not affiliated with or endorsed by AllRecipes. --- ### πŸ’Έ Pricing This scraper runs on a **pay per events subscription model**. You only pay for **successful runs**. πŸ’³ **Price:** $2.89 / 1000 results --- ### Related Actors If you're interested in other Cooking scrapers, explore more scrapers (Coming soon) --- ### πŸ“¬ Support ⭐⭐⭐⭐⭐ Leave a 5-star rating if you like this tool --- ### 🌍 PrimeScrape Built for scalable web data extraction & automation Contact for custom scraping solutions or enterprise requests via Apify or by email. # Actor input Schema ## `keyword` (type: `array`): Enter one or more keywords to search for recipes on AllRecipes. Example: "pizza", "pasta", "chicken", etc. ## `maxitems` (type: `integer`): The maximum number of recipes to retrieve from AllRecipes search results. ## Actor input object example ```json { "keyword": [ "pizza", "chicken" ], "maxitems": 50 } ```` # Actor output Schema ## `overview` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "keyword": [ "pizza", "chicken" ], "maxitems": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/allrecipes-scraper---low-cost").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "keyword": [ "pizza", "chicken", ], "maxitems": 50, } # Run the Actor and wait for it to finish run = client.actor("delectable_incubator/allrecipes-scraper---low-cost").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "keyword": [ "pizza", "chicken" ], "maxitems": 50 }' | apify call delectable_incubator/allrecipes-scraper---low-cost --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=delectable_incubator/allrecipes-scraper---low-cost", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "AllRecipes Scraper - Low-costπŸ’²πŸ”₯🍽️ πŸ‘©β€πŸ³", "description": "Scrape AllRecipes recipes by keyword πŸ½οΈπŸ” with a powerful recipe scraper. \n\nExtract titles, ratings, categories, images, and more structured data. \n\nIdeal for food bloggers, developers, and researchers building recipe databases, nutrition apps, and culinary content platforms πŸ“ŠπŸš€", "version": "0.0", "x-build-id": "iDNWDiomC9TUisOfA" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/delectable_incubator~allrecipes-scraper---low-cost/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-delectable_incubator-allrecipes-scraper---low-cost", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/delectable_incubator~allrecipes-scraper---low-cost/runs": { "post": { "operationId": "runs-sync-delectable_incubator-allrecipes-scraper---low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/delectable_incubator~allrecipes-scraper---low-cost/run-sync": { "post": { "operationId": "run-sync-delectable_incubator-allrecipes-scraper---low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "keyword", "maxitems" ], "properties": { "keyword": { "title": "AllRecipes Keywords πŸ•", "type": "array", "description": "Enter one or more keywords to search for recipes on AllRecipes.\n\nExample: \"pizza\", \"pasta\", \"chicken\", etc.", "default": [ "pizza", "chicken" ], "items": { "type": "string" } }, "maxitems": { "title": "Maximum Recipes to Fetch πŸ“„", "type": "integer", "description": "The maximum number of recipes to retrieve from AllRecipes search results.", "default": 50 } } }, "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 } } } } } } } } } } ```