# Zalando Product Detai Ec Spider (`getdataforme/zalando-product-detai-ec-spider`) Actor The Zalando Product Detail EC Spider is a robust web scraping tool designed for extracting detailed product information from Zalando's website, including attributes like title, brand, price, and more.... - **URL**: https://apify.com/getdataforme/zalando-product-detai-ec-spider.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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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. - **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use). - **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`. - **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`. - **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`. - **Any other language** — 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 ### Zalando Product Detail EC Spider #### Introduction The **Zalando Product Detail EC Spider** is a powerful web scraping tool designed to extract detailed product information from Zalando's website. It provides comprehensive data on products such as clothing and footwear, enabling users to gather insights for various business applications. #### Features - Extracts detailed product attributes including title, brand, price, sizes, images, and materials. - Supports multiple URLs for batch scraping with customizable item limits. - Ensures high-quality and reliable data extraction through robust parsing techniques. - Offers flexible output formats like JSON, CSV, and Excel for easy integration. - Designed for scalability to handle large volumes of product data efficiently. #### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|---------|----------|-----------------------------------------------------------------------------|----------------------------------------------| | Urls | array | Yes | The URLs for the spider. | `["https://www.zalando.co.uk/product1.html"]`| | item\_limit| integer | No | Maximum number of items to scrape (default is all). | `10` | #### Example Usage ##### Input JSON ```json { "Urls": [ "https://www.zalando.co.uk/alpha-industries-ma-1-bomber-jacket-black-al521g000-q11.html" ], "item_limit": 5 } ``` ##### Output JSON ```json [ { "url": "https://www.zalando.co.uk/alpha-industries-ma-1-bomber-jacket-black-al521g000-q11.html", "title": "Bomber Jacket - black", "brand": "Alpha Industries", "price": "98.00", "currency": "GBP", "vat_included": true, "color": "Colour", "sizes": [ {"size": "XS", "sku": "AL521G000-Q1100XS000"}, {"size": "S", "sku": "AL521G000-Q11000S000"} ], "images": [ "https://img01.ztat.net/article/spp-media-p1/9a14c013b6fd4c1b90ea0800ffc26fb9/bee6c34aee4b48cf826c31f631edbc83.jpg?imwidth=762" ], "outer_fabric_material": "100% nylon", "lining": "100% nylon", "padding_type": "Lightly padded", "contains_non_textile_parts_of_animal_origin": "Yes", "care_instructions": "Dry clean only, do not wash", "neckline": "Crew neck", "collar": "Standing collar", "fastening": "Zip", "pockets": "Inside pocket, sleeve pocket, inseam pockets", "sleeve_cuffs": "Elastic", "hood_detail": "Lined", "pattern": "Plain", "details": "Lined fastener", "insoles": "Padded", "article_number": "AL521G000-Q11", "our_model_s_height": "Our model is 5' 9\" tall and is wearing size S", "fit": "Slim", "shape": "Straight", "length": "Normal length", "sleeve_length": "25.0 \" (Size S)", "back_width": "14.0 \" (Size S)", "total_length": "25.0 \" (Size S)" } ] ``` #### Use Cases - **Market Research and Analysis**: Gain insights into product offerings, pricing strategies, and market trends. - **Competitive Intelligence**: Monitor competitors' products to understand their positioning and features. - **Price Monitoring**: Track price changes over time for strategic decision-making. - **Content Aggregation**: Aggregate product data for e-commerce platforms or comparison sites. - **Academic Research**: Use detailed product information for studies in consumer behavior or fashion trends. - **Business Automation**: Automate the collection of product data to streamline business processes. #### Installation and Usage 1. Search for "Zalando Product Detail EC Spider" 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 data is structured as an array of product objects, each containing detailed attributes such as: - `url`: The URL of the product page. - `title`: The title of the product. - `brand`: The brand name. - `price`: The price of the product. - `currency`: The currency in which the price is listed. - `sizes`: An array of available sizes and their SKUs. - `images`: A list of image URLs. - Additional fields like `outer_fabric_material`, `care_instructions`, etc., provide comprehensive details about each product. #### 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! # 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://www.zalando.co.uk/anna-field-print-t-shirt-off-white-an621d19z-a11.html", "https://www.zalando.co.uk/puma-cilia-mode-trainers-whitesilver-pu111a0ed-a13.html", "https://www.zalando.co.uk/alpha-industries-ma-1-bomber-jacket-black-al521g000-q11.html" ], "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/zalando-product-detai-ec-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/zalando-product-detai-ec-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/zalando-product-detai-ec-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/zalando-product-detai-ec-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/acts/aI3br2lNbkpbBcQpM/builds/q2B4ME1CPbV7L2hbq/openapi.json