# Shafa Product Details (`getdataforme/shafa-product-detail-ec`) Actor Shafa Product Details is an Apify Actor designed to extract detailed product information from Shafa.ua. It provides insights into names, images, prices, descriptions, delivery/payment methods, return policies, categories, seller ratings, etc.... - **URL**: https://apify.com/getdataforme/shafa-product-detail-ec.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 ## README.md ### Shafa Product Details #### Introduction Shafa Product Details is an Apify Actor designed to extract comprehensive product information from Shafa.ua. It provides detailed insights into products, including names, images, prices, descriptions, delivery and payment methods, return policies, categories, seller ratings, and more. This tool is invaluable for market research, competitive analysis, and business intelligence. #### Features - **Comprehensive Data Extraction**: Retrieves detailed product information from Shafa.ua. - **High-Quality Data**: Ensures reliable and accurate data capture. - **Customizable Input**: Allows users to specify start URLs for targeted scraping. - **Multiple Output Formats**: Supports JSON, CSV, and Excel exports. - **Efficient Performance**: Optimized for speed and resource efficiency. - **User-Friendly Interface**: Easy setup and execution on the Apify platform. #### Input Parameters | Parameter | Type | Required | Description | Example | |-------------|----------|----------|-----------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------| | startUrls | array | Yes | URLs to start with for scraping product details. | `[{"url": "https://shafa.ua/uk/cosmetics/dlya-lica/krem/183841189-intensivniy-nichniy-krem-z-kolagenom-50-ml-health-and-beauty-izrayil"}]` | #### Example Usage ##### Input JSON ```json { "startUrls": [ { "url": "https://shafa.ua/uk/cosmetics/dlya-lica/krem/183841189-intensivniy-nichniy-krem-z-kolagenom-50-ml-health-and-beauty-izrayil" } ] } ```` ##### Output JSON ```json [ { "url": "https://shafa.ua/uk/cosmetics/dlya-lica/krem/183841189-intensivniy-nichniy-krem-z-kolagenom-50-ml-health-and-beauty-izrayil", "productName": "Інтенсивний нічний крем з колагеном (50 мл) health and beauty ізраїль", "productImage": "https://image-thumbs.shafastatic.net/2168968367_310_430", "price": 450, "currency": "UAH", "description": "Інтенсивний нічний крем з бархатистою текстурою, призначений для зміншення зморщок та надання шкірі відновленого сяйва. Для всіх типів шкіри.", "deliveryMethods": [ "Безпечна оплата", "Безкоштовна доставка SMART", "Nova Poshta", "UkrPoshta" ], "paymentMethods": [ "Безпечна оплата", "Безкоштовна доставка SMART" ], "returnPolicy": "Обмін/повернення можливі", "categories": [ "Краса і здоров'я", "Косметика для обличчя", "Крем для обличчя" ], "sellerName": "i9839560", "rating": "5.0", "reviewCount": 44, "scraped_At": "Fri Jul 03 2026 08:33:22 GMT+0000 (Coordinated Universal Time)" } ] ``` #### Use Cases - **Market Research and Analysis**: Gain insights into product offerings and market trends. - **Competitive Intelligence**: Monitor competitor pricing and product features. - **Price Monitoring**: Track price changes over time for strategic decision-making. - **Content Aggregation**: Compile comprehensive datasets for analysis or reporting. - **Academic Research**: Use data for studies in economics, marketing, or consumer behavior. - **Business Automation**: Integrate with business processes for automated updates and alerts. #### Installation and Usage 1. Search for "Shafa Product Details" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters by specifying start 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 output data is structured as an array of objects, each representing a product with fields such as `url`, `productName`, `productImage`, `price`, `currency`, `description`, `deliveryMethods`, `paymentMethods`, `returnPolicy`, `categories`, `sellerName`, `rating`, `reviewCount`, and `scraped_At`. This format ensures comprehensive coverage of all relevant product details. #### 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! *** ## Description Extract detailed product information from Shafa.ua with Shafa Product Details. This Apify Actor offers comprehensive data extraction, customizable inputs, and multiple output formats for market research, competitive analysis, and business intelligence. Try it today on the Apify Store! # Actor input Schema ## `startUrls` (type: `array`): URLs to start with. ## Actor input object example ```json { "startUrls": [ { "url": "https://shafa.ua/uk/cosmetics/dlya-lica/krem/183841189-intensivniy-nichniy-krem-z-kolagenom-50-ml-health-and-beauty-izrayil" } ] } ``` # 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://shafa.ua/uk/cosmetics/dlya-lica/krem/183841189-intensivniy-nichniy-krem-z-kolagenom-50-ml-health-and-beauty-izrayil" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/shafa-product-detail-ec").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://shafa.ua/uk/cosmetics/dlya-lica/krem/183841189-intensivniy-nichniy-krem-z-kolagenom-50-ml-health-and-beauty-izrayil" }] } # Run the Actor and wait for it to finish run = client.actor("getdataforme/shafa-product-detail-ec").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://shafa.ua/uk/cosmetics/dlya-lica/krem/183841189-intensivniy-nichniy-krem-z-kolagenom-50-ml-health-and-beauty-izrayil" } ] }' | apify call getdataforme/shafa-product-detail-ec --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/shafa-product-detail-ec", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Shafa Product Details", "description": "Shafa Product Details is an Apify Actor designed to extract detailed product information from Shafa.ua. It provides insights into names, images, prices, descriptions, delivery/payment methods, return policies, categories, seller ratings, etc....", "version": "0.0", "x-build-id": "eyWC7Db41YRDEsUf3" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~shafa-product-detail-ec/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-shafa-product-detail-ec", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~shafa-product-detail-ec/runs": { "post": { "operationId": "runs-sync-getdataforme-shafa-product-detail-ec", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~shafa-product-detail-ec/run-sync": { "post": { "operationId": "run-sync-getdataforme-shafa-product-detail-ec", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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" } } } } } }, "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 } } } } } } } } } } ```