# Dineoutwith Resturantinfo Spider (`getdataforme/dineoutwith-resturantinfo-spider`) Actor The Dineoutwith Restaurant Info Spider is a web scraping tool that extracts comprehensive restaurant data from DineOutWith, including menus, pricing, and location details.... - **URL**: https://apify.com/getdataforme/dineoutwith-resturantinfo-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** Lead generation, Other, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 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 --- ## README.md ### Dineoutwith Restaurant Info Spider #### Introduction The **Dineoutwith Restaurant Info Spider** is a powerful web scraping tool designed to extract detailed restaurant information from the DineOutWith platform. It provides comprehensive data on restaurants, including menus, pricing, and location details, making it invaluable for market research, competitive analysis, and business intelligence. #### Features - Extracts detailed restaurant profiles - Supports multiple URLs for batch processing - Configurable item limit for performance optimization - Reliable data extraction with structured output - Easy integration into data workflows - Supports various export formats (JSON, CSV, Excel) #### Input Parameters Table | Parameter | Type | Required | Description | Example | |-------------|---------|----------|-----------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------| | `Urls` | Array | Yes | The URLs for the spider to scrape. | `[ "https://www.dineoutwith.us/v2/public/v3-restaurant-details/67531d9f1c3276383cb1dc41?restaurant_name=Saint%20Restaurant%20Bar%20And%20Speakeasy" ]` | | `item_limit`| Integer | No | Maximum items to scrape per actor run. Set to 0 for no limit. | `10` | #### Example Usage ##### Input JSON ```json { "Urls": [ "https://www.dineoutwith.us/v2/public/v3-restaurant-details/67531d9f1c3276383cb1dc41?restaurant_name=Saint%20Restaurant%20Bar%20And%20Speakeasy" ], "item_limit": 10 } ```` ##### Output JSON ```json [ { "restaurant_name": "Saint Restaurant Bar And Speakeasy", "image": "https://d9l331eolc1b.cloudfront.net/67531d9f1c3276383cb1dc41/logoImages/cropped/Screenshot 2025-06-12 at 19.14.51.png", "address": { "street": "136 2nd Ave", "city": "New York", "state": "NY", "zip": "10003", "full_address": "136 2nd Ave, New York, NY 10003" }, "price_range": { "min": 51, "max": 99 }, "currency": "USD", "cuisine": "Cocktail Bar", "description": "An ambiance that celebrates the art, architecture and eclectic culture of the East Village paired with a delicious menu of contemporary French cuisine", "prix_fixe": [ { "meal_service": "brunch", "menu_name": "Morning Pair (3-Course Brunch)", "food_price": 53, "minimum_party_size": 6, "maximum_party_size": 35, "description": "A late-morning lineup that covers the essentials: crisp greens, rich mains like croque monsieur or eggs benny, and a sweet finish to ease into the day. Built for easy company and just one more pour." }, { "meal_service": "brunch", "menu_name": "The Saint Brunch Affair (4-Course Brunch)", "food_price": 51, "minimum_party_size": 6, "maximum_party_size": 35, "description": "This four-course set moves from a curated beverage to a reimagined bodega breakfast, stacked Saint sliders, and a golden French toast finale — equal parts comfort and attitude." }, { "meal_service": "dinner", "menu_name": "Saint & Savor (3-Course Dinner)", "food_price": 64, "minimum_party_size": 6, "maximum_party_size": 35, "description": "With bold starters, satisfying mains, and something sweet to finish—it’s the kind of dinner that brings people together without trying too hard." }, { "meal_service": "dinner", "menu_name": "The Grand Gathering (4-Course Dinner A)", "food_price": 83, "minimum_party_size": 6, "maximum_party_size": 35, "description": "A flavorful lineup built for lingering: fresh greens, crave-able apps, rich entrées, and sips to match. Warm, unfussy, and full of charm." }, { "meal_service": "dinner", "menu_name": "After Hours (4-Course Dinner B)", "food_price": 99, "minimum_party_size": 6, "maximum_party_size": 35, "description": "An elegant, satisfying dinner designed for the golden hour and beyond. From truffle burrata and tartare to lamb, salmon, and short rib cavatelli—each course brings a little extra." }, { "meal_service": "dinner", "menu_name": "Saint Supper Table (4-Course Family Style Dinner)", "food_price": 96, "minimum_party_size": 6, "maximum_party_size": 35, "description": "A relaxed yet elevated evening made for sharing. Crisp salads, classic appetizers, and hearty entrées—served family-style for a meal that’s equal parts generous and refined." } ], "beverage_pairings": [ { "meal_service": "brunch", "menu_name": "Morning Pair (3-Course Brunch)", "beverage_name": "The Sommelier & Mixologist’s Selection", "beverage_price": 44, "description": "" }, { "meal_service": "brunch", "menu_name": "The Saint Brunch Affair (4-Course Brunch)", "beverage_name": "The Sommelier & Mixologist’s Selection", "beverage_price": 46, "description": "" }, { "meal_service": "dinner", "menu_name": "Saint & Savor (3-Course Dinner)", "beverage_name": "The Sommelier & Mixologist’s Selection", "beverage_price": 44, "description": "" }, { "meal_service": "dinner", "menu_name": "The Grand Gathering (4-Course Dinner A)", "beverage_name": "The Sommelier & Mixologist’s Selection", "beverage_price": 44, "description": "" }, { "meal_service": "dinner", "menu_name": "After Hours (4-Course Dinner B)", "beverage_name": "The Sommelier & Mixologist’s Selection", "beverage_price": 99, "description": "" }, { "meal_service": "dinner", "menu_name": "Saint Supper Table (4-Course Family Style Dinner)", "beverage_name": "The Sommelier & Mixologist’s Selection", "beverage_price": 96, "description": "" } ], "location": { "latitude": 40.730610, "longitude": -73.935242 }, "source_url": "https://www.dineoutwith.us/v2/public/v3-restaurant-details/67531d9f1c3276383cb1dc41?restaurant_name=Saint%20Restaurant%20Bar%20And%20Speakeasy" } ] ``` #### Use Cases - **Market Research and Analysis**: Gain insights into restaurant offerings, pricing strategies, and market positioning. - **Competitive Intelligence**: Monitor competitors' menus and pricing for strategic planning. - **Price Monitoring**: Track changes in menu prices over time to identify trends or promotions. - **Content Aggregation**: Aggregate restaurant data for use in travel guides or food blogs. - **Academic Research**: Collect data for studies on dining habits, cuisine popularity, or economic impact of restaurants. - **Business Automation**: Integrate with CRM systems for targeted marketing campaigns. #### Installation and Usage 1. Search for "Dineoutwith Restaurant Info Spider" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters as needed. 4. Click "Start" to begin extraction. 5. Monitor progress in the log. 6. Export results in your preferred format (JSON, CSV, Excel). #### Output Format The output is a JSON array containing detailed restaurant information. Key fields include: - `restaurant_name`: The name of the restaurant. - `image`: URL to the restaurant's logo or image. - `address`: Object with street, city, state, zip, and full address. - `price_range`: Object with minimum and maximum prices. - `currency`: Currency used for pricing. - `cuisine`: Type of cuisine offered. - `description`: Brief description of the restaurant. - `prix_fixe`: Array of fixed-price menus with details like meal service, menu name, food price, party size limits, and descriptions. - `beverage_pairings`: Array of beverage options paired with meals. - `location`: Object containing latitude and longitude coordinates. - `source_url`: Original URL from which the data was scraped. #### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: [Get Data For Me](https://getdataforme.com/contact/) We're here to help you get the most out of this Actor! # Actor input Schema ## `Urls` (type: `array`): The urls for the spider. ## `item_limit` (type: `integer`): Maximum items to scrape per actor run. Set to 0 for no limit. ## Actor input object example ```json { "Urls": [ "https://www.dineoutwith.us/v2/public/v3-restaurant-details/67531d9f1c3276383cb1dc41?restaurant_name=Saint%20Restaurant%20Bar%20And%20Speakeasy" ], "item_limit": 10 } ``` # Actor output Schema ## `results` (type: `string`): Scraped data items from dataset # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/dineoutwith-resturantinfo-spider").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 = {} # Run the Actor and wait for it to finish run = client.actor("getdataforme/dineoutwith-resturantinfo-spider").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 '{}' | apify call getdataforme/dineoutwith-resturantinfo-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/dineoutwith-resturantinfo-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Dineoutwith Resturantinfo Spider", "description": "The Dineoutwith Restaurant Info Spider is a web scraping tool that extracts comprehensive restaurant data from DineOutWith, including menus, pricing, and location details....", "version": "0.0", "x-build-id": "S7bYQLWfEmsAHfFEf" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~dineoutwith-resturantinfo-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-dineoutwith-resturantinfo-spider", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~dineoutwith-resturantinfo-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-dineoutwith-resturantinfo-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~dineoutwith-resturantinfo-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-dineoutwith-resturantinfo-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "Urls": { "title": "Urls", "minItems": 1, "type": "array", "description": "The urls for the spider.", "default": [ "https://www.dineoutwith.us/v2/public/v3-restaurant-details/67531d9f1c3276383cb1dc41?restaurant_name=Saint%20Restaurant%20Bar%20And%20Speakeasy" ], "items": { "type": "string" } }, "item_limit": { "title": "Item limit", "minimum": 0, "type": "integer", "description": "Maximum items to scrape per actor run. Set to 0 for no limit.", "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 } } } } } } } } } } ```