# Zalando Scraper | European Fashion & E-commerce Product Data (`longanimous_bracken/zalando-scraper`) Actor Scrape product listings from Zalando across 11+ European markets (fi, se, de, uk, fr, es, it, nl, pl, at, ch). Extracts title, price, brand, category, images, availability, and product URL. Multi-country, price/brand filtering, detail pages, CSV/JSON/webhook output. - **URL**: https://apify.com/longanimous\_bracken/zalando-scraper.md - **Developed by:** [petteri mähönen](https://apify.com/longanimous_bracken) (community) - **Categories:** E-commerce, Automation, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## Zalando Scraper — European Fashion Marketplace Data Extract product listings from **Zalando** across 11+ European markets. Europe's largest fashion and lifestyle marketplace (100M+ users, 5000+ brands) — no competitor on the Apify Store. --- ### ✨ Features - **Multi-country** — scrape fi, se, de, uk, fr, es, it, nl, pl, at, ch (and more) - **Search + Category browsing** — keyword search or direct category URL slugs - **Price filtering** — min/max price in local currency - **Brand filtering** — filter by specific brand names (case-insensitive) - **Outlet / Sale items** — extract only discounted products - **Detail pages** — full descriptions, images, sizes, materials, care instructions - **Anti-detection** — UA rotation, request delays, jittered timing - **Multiple output formats** — Dataset, CSV, JSON, webhook delivery - **Cheapest on Store** — $1.00/1K results --- ### 📥 Input | Field | Type | Description | Default | |-------|------|-------------|---------| | `searchQuery` | string | Search term (e.g. `'sneakers'`, `'dress'`) | `''` | | `categories` | string[] | Category slugs (e.g. `'women/sneakers'`) — overrides searchQuery | `[]` | | `country` | string | Country code: fi, se, de, uk, fr, es, it, nl, pl, at, ch | `'fi'` | | `maxPages` | integer | Pages per query (~84 listings/page) | `1` | | `priceMin` | number | Minimum price in local currency | `null` | | `priceMax` | number | Maximum price in local currency | `null` | | `brands` | string[] | Filter by brand names | `[]` | | `outletOnly` | boolean | Only extract sale/discounted items | `false` | | `fetchDetails` | boolean | Visit detail pages for full product data | `false` | | `detailDelaySecs` | integer | Delay between detail page visits (seconds) | `2` | | `outputFormat` | string | `dataset`, `csv`, `json`, or `all` | `'dataset'` | | `webhookUrl` | string | POST results to HTTPS URL on completion | `null` | --- ### 📤 Output | Field | Type | Description | |-------|------|-------------| | `title` | string | Product name | | `name` | string | Product name (alias) | | `brand` | string | Brand name | | `price` | string | Displayed price (e.g. `'€89.99'`) | | `price_numeric` | number | Price as number for sorting/filtering | | `url` | string | Full product URL | | `image_url` | string | Product thumbnail image URL | | `badge` | string | Sale badge (Diili, Uusi, Designer, etc.) | | `search_query` | string | Query that produced this result | | `page_number` | integer | Result page number | | `country` | string | Country code (fi, se, de, etc.) | | `scraped_at` | string | ISO 8601 timestamp | | `description` | string | *Detail page only* — full product description | | `images` | string[] | *Detail page only* — all product images | | `sizes` | string[] | *Detail page only* — available sizes | | `colors` | string[] | *Detail page only* — available colors | | `material` | string | *Detail page only* — material info | | `care` | string | *Detail page only* — care instructions | | `availability` | string | *Detail page only* — stock status | --- ### 🚀 Quick Start ```bash ## Search sneakers on Zalando Finland apify call cgWoCj83jWTFIH5OD -i '{"searchQuery":"sneakers","country":"fi"}' -b latest -m 4096 -o -t 120 ## Browse category with price filter apify call cgWoCj83jWTFIH5OD -i '{"categories":["women/sneakers"],"country":"de","priceMin":30,"priceMax":120}' -b latest -m 4096 -o -t 120 ## Multi-country search with detail pages apify call cgWoCj83jWTFIH5OD -i '{"searchQuery":"leather jacket","country":"uk","fetchDetails":true,"maxPages":2}' -b latest -m 4096 -o -t 300 ```` *** ### 💡 Use Cases - **Dropshipping** — track fashion product availability and pricing across European markets - **Competitor monitoring** — benchmark your prices against Zalando sellers - **Price tracking** — historical price analysis with cron jobs - **Resale market research** — identify trending brands and styles - **Affiliate marketing** — build fashion recommendation engines - **Market intelligence** — seasonal trend analysis, category demand tracking *** ### 🔧 Example Input ```json { "searchQuery": "sneakers", "country": "fi", "maxPages": 2, "priceMin": 25, "priceMax": 200, "brands": ["Nike", "Adidas"], "fetchDetails": true, "detailDelaySecs": 2, "outputFormat": "all" } ``` *** ### ⚠️ Limitations - **Rate limits** — Zalando may throttle heavy scraping. Use delays and moderate page counts. - **Anti-detection** — built-in, but not guaranteed. For high-volume use, consider Apify proxy. - **CSS selectors** — Zalando uses Web Components with hashed class names; selectors are pattern-based and may need updates after site redesigns. - **Detail pages** — `fetchDetails` adds ~2-5s per listing and increases memory usage. *** ### 📋 Changelog | Version | Date | Changes | |---------|------|---------| | 0.1 | 2026-07-17 | Initial release — search + category extraction, multi-country (11+), price/brand/outlet filters, detail page extraction, CSV/JSON/webhook output | *** ### 🤖 Copy to AI Assistant ``` Scrape Zalando fashion listings from the Apify Store. Actor: https://apify.com/longanimous_bracken/zalando-scraper Example: search for "sneakers" on Zalando Finland, 2 pages, filter brands Nike/Adidas, price 25-200 EUR, fetch detail pages. Input: { "searchQuery": "sneakers", "country": "fi", "maxPages": 2, "priceMin": 25, "priceMax": 200, "brands": ["Nike", "Adidas"], "fetchDetails": true } ``` # Actor input Schema ## `searchQuery` (type: `string`): Search term — any product keyword (e.g. 'sneakers', 'dress', 'jacket'). Leave empty to browse categories. ## `categories` (type: `array`): Category slugs to scrape (e.g. 'women/sneakers', 'men/jackets'). Overrides searchQuery if provided. ## `country` (type: `string`): Zalando country subdomain: fi, se, de, uk, fr, es, it, nl, pl, at, ch, be, cz, hu, pt, ro, sk, si, hr, lt, lv, ee, bg, gr, cy, mt, lu. ## `maxPages` (type: `integer`): Number of result pages per query/category (~84 listings per page). Default: 1. ## `priceMin` (type: `number`): Minimum price in local currency. Applied post-extraction. ## `priceMax` (type: `number`): Maximum price in local currency. Applied post-extraction. ## `brands` (type: `array`): Filter by brand names (case-insensitive). Leave empty for all brands. ## `outletOnly` (type: `boolean`): If true, only extract items with sale badges (Diili, Uusi, Designer, etc.). ## `fetchDetails` (type: `boolean`): Visit each product's detail page to extract full description, all images, available sizes, colors, materials, and care instructions. Adds ~2-5s per listing. ## `detailDelaySecs` (type: `integer`): Delay between detail page visits. Jitter added automatically. Only relevant when fetchDetails is true. ## `outputFormat` (type: `string`): Output format: dataset, csv, json, or all. ## `webhookUrl` (type: `string`): HTTPS URL to POST all listings to on completion. ## Actor input object example ```json { "categories": [], "country": "fi", "maxPages": 1, "brands": [], "outletOnly": false, "fetchDetails": false, "detailDelaySecs": 2, "outputFormat": "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("longanimous_bracken/zalando-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 = {} # Run the Actor and wait for it to finish run = client.actor("longanimous_bracken/zalando-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 '{}' | apify call longanimous_bracken/zalando-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=longanimous_bracken/zalando-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Zalando Scraper | European Fashion & E-commerce Product Data", "description": "Scrape product listings from Zalando across 11+ European markets (fi, se, de, uk, fr, es, it, nl, pl, at, ch). Extracts title, price, brand, category, images, availability, and product URL. Multi-country, price/brand filtering, detail pages, CSV/JSON/webhook output.", "version": "0.0", "x-build-id": "6mTqwTHWgdb4rNpE9" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/longanimous_bracken~zalando-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-longanimous_bracken-zalando-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/longanimous_bracken~zalando-scraper/runs": { "post": { "operationId": "runs-sync-longanimous_bracken-zalando-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/longanimous_bracken~zalando-scraper/run-sync": { "post": { "operationId": "run-sync-longanimous_bracken-zalando-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "searchQuery": { "title": "Search Query", "type": "string", "description": "Search term — any product keyword (e.g. 'sneakers', 'dress', 'jacket'). Leave empty to browse categories." }, "categories": { "title": "Category URL Slugs", "type": "array", "description": "Category slugs to scrape (e.g. 'women/sneakers', 'men/jackets'). Overrides searchQuery if provided.", "default": [], "items": { "type": "string" } }, "country": { "title": "Country", "type": "string", "description": "Zalando country subdomain: fi, se, de, uk, fr, es, it, nl, pl, at, ch, be, cz, hu, pt, ro, sk, si, hr, lt, lv, ee, bg, gr, cy, mt, lu.", "default": "fi" }, "maxPages": { "title": "Max Pages", "type": "integer", "description": "Number of result pages per query/category (~84 listings per page). Default: 1.", "default": 1 }, "priceMin": { "title": "Minimum Price", "type": "number", "description": "Minimum price in local currency. Applied post-extraction." }, "priceMax": { "title": "Maximum Price", "type": "number", "description": "Maximum price in local currency. Applied post-extraction." }, "brands": { "title": "Brands", "type": "array", "description": "Filter by brand names (case-insensitive). Leave empty for all brands.", "default": [], "items": { "type": "string" } }, "outletOnly": { "title": "Outlet / Sale Items Only", "type": "boolean", "description": "If true, only extract items with sale badges (Diili, Uusi, Designer, etc.).", "default": false }, "fetchDetails": { "title": "Fetch Detail Pages", "type": "boolean", "description": "Visit each product's detail page to extract full description, all images, available sizes, colors, materials, and care instructions. Adds ~2-5s per listing.", "default": false }, "detailDelaySecs": { "title": "Detail Page Delay (seconds)", "type": "integer", "description": "Delay between detail page visits. Jitter added automatically. Only relevant when fetchDetails is true.", "default": 2 }, "outputFormat": { "title": "Output Format", "type": "string", "description": "Output format: dataset, csv, json, or all.", "default": "dataset" }, "webhookUrl": { "title": "Webhook URL", "type": "string", "description": "HTTPS URL to POST all listings to on completion." } } }, "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 } } } } } } } } } } ```