# CCC Category Scraper (`getdataforme/ccc-category-scraper`) Actor Effortlessly scrape detailed product data from CCC.eu, Poland's top footwear and clothing retailer. Extract titles, prices, brands, sizes, images, and more via customizable search queries.... - **URL**: https://apify.com/getdataforme/ccc-category-scraper.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** E-commerce, 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 ## CCC Category Scraper ### Introduction The CCC Category Scraper is a powerful Apify Actor designed to extract detailed product information from CCC.eu, Poland's leading footwear and clothing retailer. It enables users to scrape category-specific data based on search queries, providing comprehensive insights into products, prices, and availability. This tool is ideal for e-commerce professionals, researchers, and businesses seeking accurate, up-to-date data for market analysis and competitive intelligence. ### Features - **Targeted Scraping**: Extracts product details from specific categories on CCC.eu using customizable search queries. - **Comprehensive Data**: Captures key attributes like title, price, brand, sizes, images, and more for each item. - **High Reliability**: Built with robust error handling to ensure consistent data extraction even during site changes. - **Scalable Performance**: Supports up to 10,000 items per run, with efficient crawling to minimize resource usage. - **Flexible Output**: Delivers data in JSON format, easily integrable with other tools for analysis or automation. - **Real-Time Insights**: Includes timestamps for crawled data, ensuring freshness and relevance. - **User-Friendly**: Simple input configuration with clear parameters for quick setup and execution. ### Input Parameters | Parameter | Type | Required | Description | Example | |-------------|---------|----------|-----------------------------------------------------------------------------|------------------| | searchQuery | string | Yes | The search term or keyword to crawl and extract data for. | "Shoes" | | maxItems | integer | No | Maximum number of result items to collect during the crawl. Default is 50. | 100 | ### Example Usage #### Input Example ```json { "searchQuery": "Shoes", "maxItems": 50 } ```` #### Output Example ```json [ { "title": "Obuwie sportowe DC Shoes", "brand_logo_link": "https://ccc.eu/files/jj_logo/DC-Shoes.svg", "category": "Mężskie > Buty > Sportowe", "category_2": "Obuwie sportowe", "color_enp": "Czarny", "etykieta_text_0": "-15% w koszyku", "link_mob_app": "ccc://product?id=2959126", "material": "Materiał tekstylny", "material_podeszwy": "Materiał syntetyczny", "podszewka": "Materiał tekstylny", "rodzaj_zapiecia": "Sznurowane", "seria": "SS 2025", "sezon": "Cały rok", "sizes": "44;45;42 1/2;44 1/2;46;41;42;43", "styl": "Sportowy", "szerokosc_buta": "Standardowa", "title_new_listing": "DC Shoes - CURE", "title_web": "DC SHOES DC SHOES CURE ADYS400073-xKRK Czarny", "typ_noska": "Okrągły", "wodoodpornosc_eob": "Nie", "image": [ "https://ccc.eu/media/cache/resolve/thumb_313x469/images/29/2958960/CCC_5903419781803_02.jpg?_locale=pl", "https://ccc.eu/media/cache/resolve/thumb_313x469/images/29/2958960/CCC_5903419781803_03.jpg?_locale=pl", "https://ccc.eu/media/cache/resolve/thumb_313x469/images/29/2958960/CCC_5903419781803_04.jpg?_locale=pl", "https://ccc.eu/media/cache/resolve/thumb_313x469/images/29/2958960/CCC_5903419781803_05.jpg?_locale=pl", "https://ccc.eu/media/cache/resolve/thumb_313x469/images/29/2958960/CCC_5903419781803_06.jpg?_locale=pl", "https://ccc.eu/media/cache/resolve/thumb_313x469/images/29/2958960/CCC_5903419781803_07.jpg?_locale=pl" ], "price": 239.99, "salePrice": 239.99, "availability": true, "brand": "DC Shoes", "color": "Czarny", "discountAmount": 0, "effectivePrice": 239.99, "gender": "male", "imageLink": "https://ccc.eu/media/cache/resolve/thumb_313x469/images/29/2958960/CCC_5903419781803_01.jpg?_locale=pl", "itemGroupId": "5903419781803", "itemId": "5903419781803", "link": "https://ccc.eu/pl/meskie/buty/sportowe/obuwie-sportowe-dc-shoes-cure-adys400073-xkrk-czarny", "crawledAt": "2026-03-16T07:53:09.933Z" } ] ``` ### Use Cases - **Market Research**: Analyze trends in footwear and clothing categories to identify popular brands and pricing strategies. - **Competitive Intelligence**: Monitor competitors' product offerings, prices, and availability on CCC.eu. - **Price Monitoring**: Track price changes and discounts for specific items to optimize purchasing decisions. - **Content Aggregation**: Collect product data for building comparison sites or e-commerce databases. - **Academic Research**: Gather data for studies on consumer behavior in the Polish retail market. - **Business Automation**: Integrate scraped data into inventory management or sales forecasting systems. ### Installation and Usage 1. Search for "CCC Category Scraper" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters (e.g., searchQuery and 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 Actor outputs data as a JSON array of objects, each representing a product. Key fields include: `title` (product name), `price` and `salePrice` (pricing details), `brand` and `category` (classification), `sizes` and `availability` (stock info), `image` array (product photos), and `crawledAt` (timestamp). This structure 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! *** **Concise Description (248 characters):**\ Unlock CCC.eu product data effortlessly! Scrape detailed footwear and clothing info with our reliable Actor—capture prices, brands, sizes, and images. Perfect for market research, price monitoring, and competitive analysis. Start extracting now and boost your insights! (248 characters) # Actor input Schema ## `searchQuery` (type: `string`): The search term or keyword to crawl and extract data for. ## `maxItems` (type: `integer`): Maximum number of result items to collect during the crawl. ## Actor input object example ```json { "searchQuery": "Shoes", "maxItems": 50 } ``` # 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 = { "searchQuery": "Shoes" }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/ccc-category-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 = { "searchQuery": "Shoes" } # Run the Actor and wait for it to finish run = client.actor("getdataforme/ccc-category-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 '{ "searchQuery": "Shoes" }' | apify call getdataforme/ccc-category-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/ccc-category-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "CCC Category Scraper", "description": "Effortlessly scrape detailed product data from CCC.eu, Poland's top footwear and clothing retailer. Extract titles, prices, brands, sizes, images, and more via customizable search queries....", "version": "0.0", "x-build-id": "ZOlsWgv0M9Ef1TkvK" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~ccc-category-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-ccc-category-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~ccc-category-scraper/runs": { "post": { "operationId": "runs-sync-getdataforme-ccc-category-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~ccc-category-scraper/run-sync": { "post": { "operationId": "run-sync-getdataforme-ccc-category-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "searchQuery" ], "properties": { "searchQuery": { "title": "Search Query", "type": "string", "description": "The search term or keyword to crawl and extract data for." }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of result items to collect during the crawl.", "default": 50 } } }, "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 } } } } } } } } } } ```