# Vagaro Disocvery Scraper (`getdataforme/vagaro-disocvery-scraper`) Actor The Vagaro Discovery Scraper is an Apify actor designed for extracting detailed business listings from Vagaro, focusing on services like salons and massages. It allows customizable searches by service type or city, supports large data volumes, and offers a user-friendly setup.... - **URL**: https://apify.com/getdataforme/vagaro-disocvery-scraper.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** Automation, Lead generation, E-commerce - **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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## Vagaro Discovery Scraper ### Introduction The Vagaro Discovery Scraper is an Apify Actor designed to efficiently extract business listings from Vagaro's platform. It enables users to gather detailed information about services such as salons, massages, and nail treatments in specified locations. This tool is invaluable for market research, competitive analysis, and business intelligence. ### Features - **Comprehensive Data Extraction**: Collects extensive details on businesses including contact info, ratings, and service offerings. - **Customizable Search Parameters**: Allows users to specify service types, cities, and search queries for targeted data collection. - **Scalable Performance**: Capable of handling large volumes of data with adjustable limits on the number of items collected. - **User-Friendly Interface**: Simple setup and configuration process tailored for both technical and non-technical users. - **High-Quality Data Output**: Ensures reliable and accurate business information suitable for various analytical purposes. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------------|---------|----------|-----------------------------------------------------------------------------------------------|------------------------| | strServiceTitle | string | Yes | The service type to search for (e.g., Salon, Massage, Nails). | "Salon" | | maxItems | integer | No | Maximum number of business listings to collect (0 = unlimited). | 200 | | cityName | string | Yes | The city to search in (e.g., Texas City, Houston). | "Texas City" | | searchQuery | string | No | Free-text search query to filter results (e.g., 'hair color', 'manicure'). | "" | | dtTime | string | No | Desired appointment time in hh:mm AM/PM format (e.g., 03:30 PM). | "03:30 PM" | ### Example Usage #### Input JSON ```json { "strServiceTitle": "Salon", "maxItems": 200, "cityName": "Texas City", "searchQuery": "", "dtTime": "03:30 PM" } ```` #### Output JSON ```json [ { "Distance": "1 mi", "isPromotion": false, "isFavorite": false, "ButtonText": "Book", "TotalRecords": 0, "IsCheckGoogleMap": true, "dblDistance": 1, "sRandomGUID": "", "lCountryID": 1, "ValueRank": 0, "VenueRank": 0, "PunctualityRank": 0, "ServiceRank": 0, "BusinessID": 380245, "BusinessName": "Damia Salon", "CategoryID": 0, "CreatedDate": "/Date(-62135596800000)/", "Description": "Welcome to Damia Salon! where cultures converge and lasting friendships flourish...", "Email": null, "StreetNo": "", "Street": "1300 Church Street", "City": "San Francisco", "Zip": "94114", "StateName": "California", "Telephone": "--", "FeaturedStartDate": null, "FeaturedEndDate": null, "IsFeatured": false, "KidsFriendly": null, "CalendarType": 0, "IsConfimationReq": null, "VagaroURL": "/rshb77", "AverageRank": 5, "ReviewTotal": 6838, "BusinessImage": "https://d511e82ac8f3f1f5e681-422003fc9b7304bd42792564629e9aa2.ssl.cf2.rackcdn.com/Compressed/539bd364-f835-43d7-bcfb-7c5863661a2c.jpg", "FacilityValue": "Hair,Hair Extensions", "LATITUDE": 37.75, "LONGITUDE": -122.4275, "lstBusinessHourDetails": null, "CategoryTypeId": 0, "CDNUrl": null, "TotalPage": 2290, "StateCode": "CA", "avgBusinessRating": null, "BusinessClosedNow": true, "PromotionTitle": "", "PromotionCreatedDate": "", "isMobile": true, "Group": "US05", "IsZoomIntegrated": false, "IsEnableCovidReadiness": false, "CovidRank": 0, "StateCity": "San Francisco, CA", "VPLStatus": 0, "VPLStatusSP": 0, "IsNewBusiness": false, "VeraFMBEnable": false } ] ``` ### Use Cases - **Market Research and Analysis**: Gain insights into local market trends and consumer preferences. - **Competitive Intelligence**: Monitor competitors' offerings, pricing strategies, and customer reviews. - **Price Monitoring**: Track changes in service prices across different businesses to identify opportunities. - **Content Aggregation**: Compile comprehensive lists of services for content creation or marketing purposes. - **Academic Research**: Support studies on business ecosystems and consumer behavior. - **Business Automation**: Integrate with CRM systems for automated data updates and decision-making. ### Installation and Usage 1. Search for "Vagaro Discovery Scraper" 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 objects with detailed business information. Key fields include: - **BusinessID**: Unique identifier for each business. - **BusinessName**: Name of the business. - **City**, **StateName**: Location details. - **Description**: Business description and services offered. - **Telephone**, **Email**: Contact information. - **AverageRank**, **ReviewTotal**: Customer ratings and review counts. - **LATITUDE**, **LONGITUDE**: Geographical coordinates. ### 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 ## `strServiceTitle` (type: `string`): The service type to search for (e.g. Salon, Massage, Nails, etc.). ## `maxItems` (type: `integer`): Maximum number of business listings to collect (0 = unlimited). ## `cityName` (type: `string`): The city to search in (e.g. Texas City, Houston, etc.). ## `searchQuery` (type: `string`): Free-text search query to filter results (e.g. 'hair color', 'manicure'). ## `dtTime` (type: `string`): Desired appointment time in hh:mm AM/PM format (e.g. 03:30 PM). ## Actor input object example ```json { "strServiceTitle": "Salon", "maxItems": 200, "cityName": "Texas City", "searchQuery": "", "dtTime": "03:30 PM" } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/vagaro-disocvery-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 = {} # Run the Actor and wait for it to finish run = client.actor("getdataforme/vagaro-disocvery-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 '{}' | apify call getdataforme/vagaro-disocvery-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/vagaro-disocvery-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Vagaro Disocvery Scraper", "description": "The Vagaro Discovery Scraper is an Apify actor designed for extracting detailed business listings from Vagaro, focusing on services like salons and massages. It allows customizable searches by service type or city, supports large data volumes, and offers a user-friendly setup....", "version": "0.0", "x-build-id": "C6nQUG8iqiczmIp1D" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~vagaro-disocvery-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-vagaro-disocvery-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~vagaro-disocvery-scraper/runs": { "post": { "operationId": "runs-sync-getdataforme-vagaro-disocvery-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~vagaro-disocvery-scraper/run-sync": { "post": { "operationId": "run-sync-getdataforme-vagaro-disocvery-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "strServiceTitle", "cityName" ], "properties": { "strServiceTitle": { "title": "Service Title", "type": "string", "description": "The service type to search for (e.g. Salon, Massage, Nails, etc.).", "default": "Salon" }, "maxItems": { "title": "Max Items", "minimum": 0, "type": "integer", "description": "Maximum number of business listings to collect (0 = unlimited).", "default": 200 }, "cityName": { "title": "City Name", "type": "string", "description": "The city to search in (e.g. Texas City, Houston, etc.).", "default": "Texas City" }, "searchQuery": { "title": "Search Query", "type": "string", "description": "Free-text search query to filter results (e.g. 'hair color', 'manicure').", "default": "" }, "dtTime": { "title": "Appointment Time", "type": "string", "description": "Desired appointment time in hh:mm AM/PM format (e.g. 03:30 PM).", "default": "03:30 PM" } } }, "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 } } } } } } } } } } ```