# Otto.de Listings Scraper (`piotrv1001/otto-de-listings-scraper`) Actor The Otto.de Listings Scraper extracts product listings from Otto.de category and search pages, capturing IDs, names, brands, prices, images, availability, and ratings with automatic pagination — ideal for German e-commerce price monitoring, assortment tracking, and competitive market research. - **URL**: https://apify.com/piotrv1001/otto-de-listings-scraper.md - **Developed by:** [FalconScrape](https://apify.com/piotrv1001) (community) - **Categories:** E-commerce, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $2.50 / 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 ### 🛒 Otto.de Listings Scraper Easily extract product listings from **Otto.de**, one of Germany's largest e-commerce marketplaces. The **Otto.de Listings Scraper** gathers structured product data from any category or search results page — perfect for price monitoring, assortment tracking, and competitive analysis on the German market. ### ✨ Features - 🏷️ **Structured Product Data**: Retrieve product IDs, names, brands, prices, images, ratings, availability, and direct URLs. - 🔍 **Category & Search Support**: Point the scraper at any Otto.de category URL (e.g. `/mode/jeans/`) or search results page (e.g. `/suche/levis-jeans/`), or pass search queries directly. - 📄 **Automatic Pagination**: The scraper walks through paginated listings automatically until your `maxItems` cap is reached. - ⚡ **Fast & Lightweight**: Pure HTTP + Cheerio — no headless browser, no anti-bot bypass needed for listings. ~120 tiles per request. - 🇩🇪 **German Marketplace Specialist**: Tuned for Otto.de's server-rendered HTML and JSON-LD product schema. ### 🛠️ How It Works 1. **Provide Start URLs or Search Queries** – Add Otto.de category URLs, search result URLs, or plain search terms in the Input tab. 2. **Set your limits** – Pick how many items to scrape with `maxItems` (default `50`). 3. **Run the Scraper** – Start the run and receive structured JSON output in the dataset, ready to download as JSON, CSV, Excel, or HTML. ### ⚙️ Input Configure the scraper with the following input fields: | Field | Type | Required | Default | Description | | -------------------- | ------- | -------- | -------- | ---------------------------------------------------------------------------------------------------------------------------------------- | | `startUrls` | array | No\* | `[]` | List of Otto.de category or search URLs, e.g. `https://www.otto.de/mode/jeans/` or `https://www.otto.de/suche/levis-jeans/`. | | `searchQueries` | array | No\* | `[]` | List of plain search terms. Each one is converted to `https://www.otto.de/suche/{slug}/` automatically. | | `maxItems` | integer | No | `50` | Maximum number of unique products to push to the dataset across all start URLs. Set to `0` for unlimited (capped by Otto's catalog). | | `proxyConfiguration` | object | No | no proxy | Optional Apify Proxy configuration. Listings work fine without a proxy at moderate volume; enable proxy if you scale to high throughput. | \* At least one of `startUrls` or `searchQueries` must be provided. #### Example input ```json { "startUrls": [ { "url": "https://www.otto.de/mode/jeans/" }, { "url": "https://www.otto.de/suche/levis-jeans/" } ], "searchQueries": [{ "query": "iphone 15" }], "maxItems": 240 } ```` ### 📊 Sample Output Data The scraper produces structured JSON output with key product details per listing. Example: ```json [ { "productId": "481146846", "articleNumber": "31633336", "variationId": "1122197659", "listPosition": 1, "origin": "sponsored", "name": "Arizona Bootcut-Jeans Baby-Boot Bootcut-Stil, figurbetonte Passform, mit Used-Effekten", "url": "https://www.otto.de/p/arizona-bootcut-jeans-baby-boot-bootcut-stil-figurbetonte-passform-mit-used-effekten-481146846/?variationId=1122197659", "image": "https://i.otto.de/i/otto/a4767196-5aaa-517e-b921-5623944d4f6f?$responsive_ft2$", "brand": "Arizona", "price": 35.99, "currency": "EUR", "availability": "https://schema.org/InStock", "ratingValue": 4, "ratingCount": 896, "source": "listing", "scrapedAt": "2026-05-21T15:20:54.597Z" }, { "productId": "S0HAG0V7", "articleNumber": "S0HAG0V7SQ2", "variationId": "S0HAG0V701HK", "listPosition": 52, "origin": "organic", "name": "Amaci&Sons Weite Jeans BOX HILL 90s Baggy Jeans Herren 90s Denim Jeans Hose Straight Baggy", "url": "https://www.otto.de/p/amaci-sons-weite-jeans-box-hill-90s-baggy-jeans-herren-90s-denim-jeans-hose-straight-baggy-S0HAG0V7/", "image": null, "brand": null, "price": null, "currency": null, "availability": null, "ratingValue": null, "ratingCount": null, "source": "listing", "scrapedAt": "2026-05-21T15:20:54.597Z" } ] ``` Note: Otto.de fully hydrates the first ~18 tiles of each listing page with prices, images, and ratings via inline JSON-LD. The remaining tiles return identity, name, and URL only — price and image are `null` for those records. Track Otto.de prices, monitor stock, and benchmark brands with **Otto.de Listings Scraper** today! 🚀 # Actor input Schema ## `startUrls` (type: `array`): Otto.de category (e.g. https://www.otto.de/mode/jeans/) or search (e.g. https://www.otto.de/suche/levis-jeans/) URLs. Each one is paginated up to the page or item caps below. ## `searchQueries` (type: `array`): Search terms; each one becomes a /suche/{slug}/ start URL. Combined with Start URLs. ## `maxItems` (type: `integer`): Hard cap on items pushed to the dataset across all start URLs. 0 = unlimited. ## `proxyConfiguration` (type: `object`): Optional proxy. Listings work fine without a proxy at moderate volume; enable Apify proxy if you scale up. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.otto.de/mode/jeans/" } ], "searchQueries": [], "maxItems": 50, "proxyConfiguration": { "useApifyProxy": false } } ``` # 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://www.otto.de/mode/jeans/" } ], "searchQueries": [] }; // Run the Actor and wait for it to finish const run = await client.actor("piotrv1001/otto-de-listings-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 = { "startUrls": [{ "url": "https://www.otto.de/mode/jeans/" }], "searchQueries": [], } # Run the Actor and wait for it to finish run = client.actor("piotrv1001/otto-de-listings-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 '{ "startUrls": [ { "url": "https://www.otto.de/mode/jeans/" } ], "searchQueries": [] }' | apify call piotrv1001/otto-de-listings-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=piotrv1001/otto-de-listings-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Otto.de Listings Scraper", "description": "The Otto.de Listings Scraper extracts product listings from Otto.de category and search pages, capturing IDs, names, brands, prices, images, availability, and ratings with automatic pagination — ideal for German e-commerce price monitoring, assortment tracking, and competitive market research.", "version": "0.0", "x-build-id": "akbQ3glzsKC8Jo2NP" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/piotrv1001~otto-de-listings-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-piotrv1001-otto-de-listings-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/piotrv1001~otto-de-listings-scraper/runs": { "post": { "operationId": "runs-sync-piotrv1001-otto-de-listings-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/piotrv1001~otto-de-listings-scraper/run-sync": { "post": { "operationId": "run-sync-piotrv1001-otto-de-listings-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "startUrls": { "title": "Start URLs", "type": "array", "description": "Otto.de category (e.g. https://www.otto.de/mode/jeans/) or search (e.g. https://www.otto.de/suche/levis-jeans/) URLs. Each one is paginated up to the page or item caps below.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "searchQueries": { "title": "Search Queries", "type": "array", "description": "Search terms; each one becomes a /suche/{slug}/ start URL. Combined with Start URLs.", "items": { "type": "string" } }, "maxItems": { "title": "Max Items", "minimum": 0, "type": "integer", "description": "Hard cap on items pushed to the dataset across all start URLs. 0 = unlimited.", "default": 50 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Optional proxy. Listings work fine without a proxy at moderate volume; enable Apify proxy if you scale up.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```