# Shafa Review Detail Extractor (`getdataforme/shafa-review-detail-extractor`) Actor Automate review extraction from Shafa.ua with customizable URLs, scalable performance, and flexible output formats. Ideal for market research, competitive analysis, and business automation, providing accurate data in JSON, CSV, or Excel.... - **URL**: https://apify.com/getdataforme/shafa-review-detail-extractor.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, 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 --- ## Shafa Review Detail Extractor ### Introduction The Shafa Review Detail Extractor is a powerful tool designed to extract detailed reviews from the Shafa.ua website. This Apify Actor enables users to gather comprehensive review data efficiently, providing valuable insights into customer feedback and product performance. ### Features - **Automated Data Extraction**: Seamlessly scrape review details with minimal setup. - **High-Quality Data**: Ensures accurate and reliable extraction of review information. - **Customizable Input**: Allows specification of multiple URLs for targeted scraping. - **Flexible Output Formats**: Export data in JSON, CSV, or Excel formats. - **Scalable Performance**: Efficiently handles large volumes of data with adjustable item limits. ### Input Parameters | Parameter | Type | Required | Description | Example | |-------------|---------|----------|-----------------------------------------------------------------------------|----------------------------------------------| | `Urls` | array | Yes | The URLs for the spider to scrape. | `["https://shafa.ua/uk/member/i9839560/reviews?t=s"]` | | `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://shafa.ua/uk/member/i9839560/reviews?t=s" ], "item_limit": 10 } ```` #### Output JSON ```json [ { "Reviewer_Name": "lesiandra08", "Reviewer_Image": "https://avatars.shafastatic.net/1443088?v1569144197", "Reviewer_Shop": null, "Review": "\u0440\u0435\u043a\u043e\u043c\u0435\u043d\u0434\u0443\u044e \u043a \u0441\u043e\u0442\u0440\u0443\u0434\u043d\u0438\u0447\u0435\u0441\u0442\u0432\u0443 ", "Reviewed_Date": "2026-07-01 16:13:54.888377+00:00", "Rating_Count": "5", "Review_ID": 31839648, "Product_ID": 212631612, "Product_Name": "\u0413\u0435\u043b\u044c \u0430\u043b\u043e\u0435 \u0432\u0435\u0440\u0430 care and beauty line", "Product_URL": "https://shafa.ua/uk/cosmetics/ukhod-za-telom/krem/212631612-gel-aloe-vera-care-and-beauty-line", "Input_URL": "https://shafa.ua/uk/member/i9839560/reviews?t=s", "actor_id": "XFefzfv7ndPQB3H7i", "run_id": "oWvbIwLxvT7xUonRA" }, { "Reviewer_Name": "lenasamoilova", "Reviewer_Image": "https://avatars.shafastatic.net/1486635_new_avatar_type1676532401", "Reviewer_Shop": null, "Review": null, "Reviewed_Date": "2026-06-13 15:41:23.952543+00:00", "Rating_Count": "5", "Review_ID": 31679456, "Product_ID": 186196595, "Product_Name": "More beauty \u043a\u043e\u043b\u0430\u0433\u0435\u043d\u043e\u0432\u0430 \u043c\u0430\u0441\u043a\u0430 \u0434\u043b\u044f \u0432\u0441\u0456\u0445 \u0442\u0438\u043f\u0456\u0432 \u0448\u043a\u0456\u0440\u0438 \u043e\u0431\u043b\u0438\u0447\u0447\u044f (100\u043c\u043b)", "Product_URL": "https://shafa.ua/uk/cosmetics/dlya-lica/maski/186196595-more-beauty-kolagenova-maska-dlya-vsih-tipiv-shkiri-oblichchya-100ml", "Input_URL": "https://shafa.ua/uk/member/i9839560/reviews?t=s", "actor_id": "XFefzfv7ndPQB3H7i", "run_id": "oWvbIwLxvT7xUonRA" }, { "Reviewer_Name": "woendoz", "Reviewer_Image": "https://avatars.shafastatic.net/522149?v1505199804", "Reviewer_Shop": null, "Review": null, "Reviewed_Date": "2026-06-02 18:16:52.983074+00:00", "Rating_Count": "5", "Review_ID": 31575102, "Product_ID": 191505610, "Product_Name": "\u0423\u043d\u0456\u0432\u0435\u0440\u0441\u0430\u043b\u044c\u043d\u0438\u0439 \u043a\u0440\u0435\u043c \u0437 \u0433\u0440\u0430\u043d\u0430\u0442\u043e\u043c", "Product_URL": "https://shafa.ua/uk/cosmetics/ukhod-za-telom/krem/191505610-universalniy-krem-z-granatom", "Input_URL": "https://shafa.ua/uk/member/i9839560/reviews?t=s", "actor_id": "XFefzfv7ndPQB3H7i", "run_id": "oWvbIwLxvT7xUonRA" } ] ``` ### Use Cases - **Market Research and Analysis**: Gain insights into customer preferences and trends. - **Competitive Intelligence**: Monitor competitor reviews to understand market positioning. - **Price Monitoring**: Track product pricing changes through review analysis. - **Content Aggregation**: Compile comprehensive datasets for further analysis or reporting. - **Academic Research**: Utilize detailed review data for academic studies in consumer behavior. - **Business Automation**: Integrate with business processes for automated insights generation. ### Installation and Usage 1. Search for "Shafa Review Detail Extractor" 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 the following fields: - `Reviewer_Name`: Name of the reviewer. - `Reviewer_Image`: URL of the reviewer's image. - `Reviewer_Shop`: Shop associated with the review (if any). - `Review`: Text content of the review. - `Reviewed_Date`: Date and time when the review was posted. - `Rating_Count`: Rating given by the reviewer. - `Review_ID`: Unique identifier for the review. - `Product_ID`: Unique identifier for the product. - `Product_Name`: Name of the reviewed product. - `Product_URL`: URL to the product page. - `Input_URL`: Original URL used for scraping. - `actor_id`: Identifier for the actor instance. - `run_id`: Identifier for the run. ### Error Handling The Actor is designed to handle common errors gracefully, such as network issues or changes in website structure. However, if an error occurs that prevents data extraction, it will be logged, and you can review these logs to understand and address the issue. ### Rate Limiting and Best Practices To ensure optimal performance and avoid being blocked by the target site: - Respect rate limits by configuring appropriate delays between requests. - Use a pool of rotating IP addresses if necessary. - Monitor the actor's progress and adjust settings based on observed behavior. ### Limitations and Considerations - The Actor requires valid URLs to function correctly; ensure they are accessible. - Changes in the website structure may affect data extraction accuracy. - Performance can vary based on network conditions and target site responsiveness. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: [Get Data For Me Contact](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://shafa.ua/uk/member/i9839560/reviews?t=s" ], "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/shafa-review-detail-extractor").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/shafa-review-detail-extractor").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/shafa-review-detail-extractor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/shafa-review-detail-extractor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Shafa Review Detail Extractor", "description": "Automate review extraction from Shafa.ua with customizable URLs, scalable performance, and flexible output formats. Ideal for market research, competitive analysis, and business automation, providing accurate data in JSON, CSV, or Excel....", "version": "0.0", "x-build-id": "igoyikEddFhHYqsJj" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~shafa-review-detail-extractor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-shafa-review-detail-extractor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~shafa-review-detail-extractor/runs": { "post": { "operationId": "runs-sync-getdataforme-shafa-review-detail-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~shafa-review-detail-extractor/run-sync": { "post": { "operationId": "run-sync-getdataforme-shafa-review-detail-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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://shafa.ua/uk/member/i9839560/reviews?t=s" ], "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 } } } } } } } } } } ```