# Careshop Reviews Scraper (`getdataforme/careshop-reviews-scraper`) Actor Effortlessly scrape customer reviews from Careshop.ch product pages with this Apify Actor. Extract ratings, comments, and timestamps for valuable e-commerce insights. Key features: high-speed CheerioCrawler, customizable limits, error-resilient, and structured JSON output.... - **URL**: https://apify.com/getdataforme/careshop-reviews-scraper.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** Lead generation - **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 ## Careshop Reviews Scraper ### Introduction The Careshop Reviews Scraper is a powerful Apify Actor designed to extract customer reviews from Careshop.ch product pages. It automates the collection of detailed review data, including ratings, comments, and timestamps, enabling businesses and researchers to gain valuable insights into product performance and customer sentiment. This tool streamlines data gathering for e-commerce analysis, helping you make informed decisions without manual effort. ### Features - **Comprehensive Review Extraction**: Captures full review details such as author names, ratings, review text, and dates from Careshop product pages. - **High-Speed Crawling**: Utilizes CheerioCrawler for efficient, lightweight scraping with minimal resource usage. - **Customizable Limits**: Allows setting maximum requests to control crawl depth and avoid overloading servers. - **Reliable Data Quality**: Ensures accurate, structured output in JSON format, ready for analysis or export. - **Error-Resilient**: Handles common scraping challenges like dynamic content and rate limits gracefully. - **Apify Integration**: Seamlessly runs on the Apify platform with easy input configuration and result storage. - **Scalable**: Supports multiple start URLs for batch processing of various products. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|------|----------|-------------|---------| | startUrls | array | Yes | An array of URLs to start the crawl from. Each URL should point to a Careshop product page containing reviews. | `[{"url": "https://www.careshop.ch/en/outdoor-functional-jacket-titanium-6-in-1-men.html?color=5456"}]` | | maxItems | integer | No | The maximum number of requests the crawler can make during the run. Helps prevent excessive crawling. Default is 100. | `50` | ### Example Usage #### Input JSON ```json { "startUrls": [ { "url": "https://www.careshop.ch/en/outdoor-functional-jacket-titanium-6-in-1-men.html?color=5456" } ], "maxItems": 100 } ```` #### Output JSON ```json [ { "productUrl": "https://www.careshop.ch/en/outdoor-functional-jacket-titanium-6-in-1-men.html?color=5456", "reviews": [ { "author": "John Doe", "rating": 5, "title": "Excellent jacket!", "text": "Great quality and fits perfectly. Highly recommend for outdoor activities.", "date": "2023-10-15" }, { "author": "Jane Smith", "rating": 4, "title": "Good value", "text": "Solid performance in various weather conditions. Minor stitching issues but overall satisfied.", "date": "2023-09-22" } ] } ] ``` ### Use Cases - **Market Research**: Analyze customer feedback to identify trends in product preferences and satisfaction levels. - **Competitive Intelligence**: Compare reviews across similar products to benchmark against competitors. - **Price Monitoring**: Correlate review data with pricing strategies to optimize e-commerce listings. - **Content Aggregation**: Collect and aggregate reviews for content creation, such as blog posts or social media insights. - **Academic Research**: Gather data for studies on consumer behavior and product reviews in the outdoor gear industry. - **Business Automation**: Automate review monitoring for proactive customer service and product improvement. ### Installation and Usage 1. Search for "Careshop Reviews Scraper" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters (e.g., add start URLs and set maxItems). 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 of objects, where each object represents a scraped product page. Key fields include: - `productUrl`: The URL of the product page. - `reviews`: An array of review objects, each containing: - `author`: The reviewer's name. - `rating`: A numerical rating (e.g., 1-5). - `title`: The review title. - `text`: The full review content. - `date`: The review date in YYYY-MM-DD format. This structured format ensures easy parsing and integration with data analysis tools. ### 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! *** ### PART 2: Generate Description (Max 300 characters) Unlock deep insights into Careshop product reviews with this efficient scraper! Extract ratings, comments, and timestamps effortlessly. Key features: high-speed crawling, customizable limits, and reliable JSON output. Perfect for market research, competitive analysis, and business automation. Start scraping today on Apify! (148 characters) # Actor input Schema ## `startUrls` (type: `array`): URLs to start with. ## `maxItems` (type: `integer`): Maximum number of requests that can be made by this crawler. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.careshop.ch/en/outdoor-functional-jacket-titanium-6-in-1-men.html?color=5456" } ], "maxItems": 100 } ``` # 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 = { "startUrls": [ { "url": "https://www.careshop.ch/en/outdoor-functional-jacket-titanium-6-in-1-men.html?color=5456" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/careshop-reviews-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 = { "startUrls": [{ "url": "https://www.careshop.ch/en/outdoor-functional-jacket-titanium-6-in-1-men.html?color=5456" }] } # Run the Actor and wait for it to finish run = client.actor("getdataforme/careshop-reviews-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 '{ "startUrls": [ { "url": "https://www.careshop.ch/en/outdoor-functional-jacket-titanium-6-in-1-men.html?color=5456" } ] }' | apify call getdataforme/careshop-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/careshop-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Careshop Reviews Scraper", "description": "Effortlessly scrape customer reviews from Careshop.ch product pages with this Apify Actor. Extract ratings, comments, and timestamps for valuable e-commerce insights. Key features: high-speed CheerioCrawler, customizable limits, error-resilient, and structured JSON output....", "version": "0.0", "x-build-id": "EkxZ9oVeI29f0hmCs" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~careshop-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-careshop-reviews-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~careshop-reviews-scraper/runs": { "post": { "operationId": "runs-sync-getdataforme-careshop-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~careshop-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-getdataforme-careshop-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "URLs to start with.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Max Requests per Crawl", "type": "integer", "description": "Maximum number of requests that can be made by this crawler.", "default": 100 } } }, "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 } } } } } } } } } } ```