# Kevsgem Reviews Spider (`getdataforme/kevsgem-reviews-spider`) Actor The Kevsgem Reviews Spider efficiently scrapes customer reviews from Kev's Gym websites, extracting detailed data like author, date, content, and source from platforms such as Google and NiceJob.... - **URL**: https://apify.com/getdataforme/kevsgem-reviews-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, Automation, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN 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 --- ## Kevsgem Reviews Spider ### Introduction The Kevsgem Reviews Spider is a powerful Apify Actor designed to scrape and extract customer reviews from Kev's Gym websites. It efficiently gathers detailed review data, including author information, dates, content, and sources, enabling businesses to gain valuable insights into customer feedback. This tool streamlines the process of monitoring reviews, helping organizations improve service quality and customer satisfaction. ### Features - **Efficient Scraping**: Quickly extracts reviews from specified URLs, handling multiple pages and sources seamlessly. - **Structured Data Output**: Provides clean, JSON-formatted data with key fields like author, date, content, and source for easy analysis. - **Multi-Source Support**: Captures reviews from platforms such as Google and NiceJob, ensuring comprehensive data collection. - **Reliable Performance**: Built for stability, with error handling to manage dynamic web content and potential site changes. - **Customizable Inputs**: Allows users to specify target URLs, making it adaptable to different scraping needs. - **Fast Execution**: Optimized for speed, delivering results in minutes for most runs. - **Apify Integration**: Fully compatible with Apify's ecosystem for easy scheduling, monitoring, and data export. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|------|----------|-------------|---------| | Urls | array | Yes | A list of URLs to scrape reviews from. Each URL must be a valid HTTP or HTTPS link pointing to a reviews page. | ["https://www.kevsgym.com/reviews/"] | ### Example Usage #### Input Configuration ```json { "Urls": [ "https://www.kevsgym.com/reviews/" ] } ```` #### Output Example ```json [ { "story_id": "610a6da9-22cb-4abc-86be-17e92234f165", "author": "Nelly Hunter", "date": "Apr 14", "content": "Highly recommended. Service and staff are great!", "source": "Google", "share_url": "https://nicejob.com/kevs-gym-llc/yjazafqr", "actor_id": "nMeCtTmTWqn8lPiGi", "run_id": "ZRYlM3gFrH6lQhnuC" }, { "story_id": "e586aa60-eefd-4950-9d70-633b30714b1c", "author": "Margbe Mason", "date": "Apr 13", "content": "Kev's gym staff has been really reliable and offer excellent senior chair fitness. My residents love to workout with the instructors who comes with tons of energy and fun for them all.", "source": "NiceJob", "share_url": "https://nicejob.com/kevs-gym-llc/qryqx1tz", "actor_id": "nMeCtTmTWqn8lPiGi", "run_id": "ZRYlM3gFrH6lQhnuC" }, { "story_id": "5cd25c5f-0321-417b-bbc3-804a01d9ad3e", "author": "Liza Blomquist", "date": "Mar 18", "content": "Great communication, flexible with scheduling, and great services that are perfect for residents in assisted living!", "source": "Google", "share_url": "https://nicejob.com/kevs-gym-llc/ygv1p4ta", "actor_id": "nMeCtTmTWqn8lPiGi", "run_id": "ZRYlM3gFrH6lQhnuC" } ] ``` ### Use Cases - **Market Research**: Analyze customer sentiments to identify trends and preferences in the fitness industry. - **Competitive Intelligence**: Compare reviews across similar gyms to benchmark performance and service quality. - **Customer Feedback Monitoring**: Track ongoing reviews to address issues promptly and enhance user experience. - **Content Aggregation**: Collect and compile review data for reports, blogs, or marketing materials. - **Academic Research**: Gather real-world data for studies on customer satisfaction in health and wellness sectors. - **Business Automation**: Automate review extraction for regular dashboards or alerts on new feedback. ### Installation and Usage 1. Search for "Kevsgem Reviews Spider" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters (e.g., provide URLs). 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 Actor outputs data in JSON format as an array of objects. Each object represents a single review and includes the following fields: - `story_id`: A unique identifier for the review. - `author`: The name of the reviewer. - `date`: The date the review was posted (e.g., "Apr 14"). - `content`: The full text of the review. - `source`: The platform where the review was posted (e.g., "Google" or "NiceJob"). - `share_url`: A link to share or view the review. - `actor_id`: The ID of the Apify Actor used for the run. - `run_id`: The ID of the specific run instance. This structured format ensures easy integration with databases, analytics tools, or further processing. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: 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. ## Actor input object example ```json { "Urls": [ "https://www.kevsgym.com/reviews/" ] } ``` # 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/kevsgem-reviews-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/kevsgem-reviews-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/kevsgem-reviews-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/kevsgem-reviews-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Kevsgem Reviews Spider", "description": "The Kevsgem Reviews Spider efficiently scrapes customer reviews from Kev's Gym websites, extracting detailed data like author, date, content, and source from platforms such as Google and NiceJob....", "version": "0.0", "x-build-id": "gCmhLUvdEbkv2wpjV" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~kevsgem-reviews-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-kevsgem-reviews-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~kevsgem-reviews-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-kevsgem-reviews-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~kevsgem-reviews-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-kevsgem-reviews-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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.kevsgym.com/reviews/" ], "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```