# Cosmeprofile Parser Spider (`getdataforme/cosmeprofile-parser-spider`) Actor Extract detailed product reviews from Cosme, a Japanese beauty site, with the Cosmeprofile Parser Spider. Gather insights on consumer opinions and market trends. Features include customizable inputs, efficient performance, and versatile output formats.... - **URL**: https://apify.com/getdataforme/cosmeprofile-parser-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, E-commerce, Other - **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 ## Cosmeprofile Parser Spider ### Introduction The Cosmeprofile Parser Spider is a powerful tool designed to extract detailed product reviews from Cosme, a popular Japanese beauty and cosmetics website. This actor enables users to gather valuable insights into consumer opinions, product ratings, and market trends, facilitating informed decision-making in the beauty industry. ### Features - **Comprehensive Data Extraction**: Retrieve detailed reviews, ratings, and product information from Cosme. - **High Data Quality**: Ensures accurate and reliable data collection with robust parsing capabilities. - **Efficient Performance**: Optimized for fast and efficient data scraping, minimizing downtime. - **Customizable Inputs**: Easily configure URLs for targeted data extraction. - **Versatile Output Formats**: Export data in JSON, CSV, or Excel formats for seamless integration. - **User-Friendly Interface**: Simple setup and monitoring through the Apify platform. - **Scalable Solution**: Suitable for both small-scale and large-scale data collection needs. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|--------|----------|----------------------------------------------------|-------------------------------------------------------------------------| | Urls | Array | No | List of URLs to scrape from Cosme. | `["https://www.cosme.com/products/detail.php?product_id=364120"]` | ### Example Usage #### Example Input JSON ```json { "Urls": [ "https://www.cosme.com/products/detail.php?product_id=364120" ] } ```` #### Example Output JSON ```json [ { "Product_Id": "364120", "Review_Id": null, "Rating": "6", "Title": null, "Body": "サンプルをいただき使用してみました。毛穴の黒ずみは一度綺麗になったなと思っても、ケアを怠るとあっという間に目立つようになってきて自分に合うケアの仕方を模索中です。こちら初…", "Sentiment": null, "Section": "", "Higher_Topic": null, "Granular_Topic": null, "Source": "Cosme", "Full_Review": "サンプルをいただき使用してみました。毛穴の黒ずみは一度綺麗になったなと思っても、ケアを怠るとあっという間に目立つようになってきて自分に合うケアの仕方を模索中です。こちら初…", "Review_Type": "Product Review", "Title_Trans": null, "Body_Trans": "サンプルをいただき使用してみました。毛穴の黒ずみは一度綺麗になったなと思っても、ケアを怠るとあっという間に目立つようになってきて自分に合うケアの仕方を模索中です。こちら初…", "Full_Review_Trans": "サンプルをいただき使用してみました。毛穴の黒ずみは一度綺麗になったなと思っても、ケアを怠るとあっという間に目立つようになってきて自分に合うケアの仕方を模索中です。こちら初…", "Product_Name_Trans": null, "Product_Segment": null, "Gender": "Unisex", "Product_Segment2": null, "Year_Quarter": "2026_Q2", "Sub_Brand": "", "Format": null, "Country": "Japan", "Date": "04-21-2026", "Product_Name": null, "Brand": "コスメデコルテ", "URL": "https://www.cosme.net/products/10271786/review/", "Crawled_Date": "04-22-2026", "actor_id": "cVXkTIQlj6uYQyTpG", "run_id": "t4CaPQLQsEz92l1Am" } ] ``` ### Use Cases - **Market Research and Analysis**: Gain insights into consumer preferences and trends. - **Competitive Intelligence**: Monitor competitor products and reviews. - **Price Monitoring**: Track product pricing and changes over time. - **Content Aggregation**: Collect and analyze user-generated content for marketing strategies. - **Academic Research**: Study consumer behavior and product impact. - **Business Automation**: Automate data collection for streamlined operations. ### Installation and Usage ``` 1. Search for "Cosmeprofile Parser Spider" in the Apify Store 2. Click "Try for free" or "Run" 3. Configure input parameters 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 data is structured in JSON format, containing fields such as `Product_Id`, `Rating`, `Body`, `Source`, `Brand`, and `Crawled_Date`. This format allows for easy data manipulation and integration into various applications. ### 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.cosme.com/products/detail.php?product_id=364120" ] } ``` # 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/cosmeprofile-parser-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/cosmeprofile-parser-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/cosmeprofile-parser-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/cosmeprofile-parser-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Cosmeprofile Parser Spider", "description": "Extract detailed product reviews from Cosme, a Japanese beauty site, with the Cosmeprofile Parser Spider. Gather insights on consumer opinions and market trends. Features include customizable inputs, efficient performance, and versatile output formats....", "version": "0.0", "x-build-id": "bqcuNOBMS6dje5Zl7" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~cosmeprofile-parser-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-cosmeprofile-parser-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~cosmeprofile-parser-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-cosmeprofile-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~cosmeprofile-parser-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-cosmeprofile-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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.cosme.com/products/detail.php?product_id=364120" ], "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 } } } } } } } } } } ```