# Otto Search Scraper (`powerai/otto-search-scraper`) Actor

Scrape product search results from Otto.de by providing a search URL, with automatic pagination and comprehensive product information extraction including prices, ratings, colors, and availability.

- **URL**: https://apify.com/powerai/otto-search-scraper.md
- **Developed by:** [PowerAI](https://apify.com/powerai) (community)
- **Categories:** E-commerce
- **Stats:** 13 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.99 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#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

## 🛍️ Otto Search Scraper

This actor allows you to scrape product search results from Otto.de, one of Germany's largest e-commerce platforms. Simply provide a search URL and the actor will automatically extract comprehensive product information with pagination support.

### Features

- **URL-based Scraping:** Extract products by providing a complete Otto.de search URL
- **Automatic Pagination:** Automatically scrolls and loads more products until reaching the end or max items limit
- **Comprehensive Product Data:** Extract detailed information about each product including:
  - Product identification (ID, article number, variation ID)
  - Brand and product name
  - Product images and detail URLs
  - Current and previous prices
  - Discount information
  - Customer ratings and review counts
  - Product availability and delivery information
  - Color variations and options
- **Rich Product Details:** Includes product images, color variants, and structured data
- **Real-time Data:** Get up-to-date pricing, availability, and stock information

### Input Parameters

| Field                | Type    | Required | Description                                    |
|----------------------|---------|----------|------------------------------------------------|
| `searchUrl`          | string  | Yes      | Complete Otto.de search URL to scrape         |
| `maxItems`           | integer | No       | Maximum number of products to fetch            |
| `proxyConfiguration` | object  | No       | Proxy settings for the actor                   |

### Output

The output is a main list of product objects, each containing:

- `searchUrl`: The original search URL used
- `productId`: Unique product identifier
- `articleNumber`: Product article number
- `variationId`: Product variation identifier
- `color`: Product color name
- `colorHref`: URL to the color variation
- `allColors`: Array of all available color options
- `brand`: Product brand name
- `name`: Product name
- `detailUrl`: URL to the product detail page
- `image`: Product image URL
- `imageAlt`: Product image alt text
- `price`: Current product price
- `previousPrice`: Original price before discount
- `discountTag`: Discount percentage or tag
- `rating`: Product rating (number of stars)
- `ratingCount`: Number of customer reviews
- `ratingValue`: Average rating value
- `availability`: Product availability status
- `deliveryText`: Delivery information
- `schema`: Structured product data (schema.org format)
- `scrapedAt`: Timestamp of when the product was scraped

Example output:

```json
[
  {
    "searchUrl": "https://www.otto.de/suche/lego/",
    "productId": "123456",
    "articleNumber": "LEGO-789",
    "variationId": "456789",
    "color": "Red",
    "colorHref": "https://www.otto.de/product/123456-red",
    "allColors": [
      {
        "colorName": "Red",
        "variationId": "456789",
        "colorDotCss": "background-color: #ff0000"
      },
      {
        "colorName": "Blue",
        "variationId": "456790",
        "colorDotCss": "background-color: #0000ff"
      }
    ],
    "brand": "LEGO",
    "name": "LEGO Classic Creative Building Set",
    "detailUrl": "https://www.otto.de/product/123456",
    "image": "https://www.otto.de/image.jpg",
    "imageAlt": "LEGO Classic Creative Building Set",
    "price": 29.99,
    "previousPrice": 39.99,
    "discountTag": "-25%",
    "rating": 5,
    "ratingCount": 1234,
    "ratingValue": 4.5,
    "availability": "In stock",
    "deliveryText": "Delivery within 2-3 days",
    "scrapedAt": "2025-05-29T02:10:44.350Z"
  },
  ...
]
```

### Use Cases

- Product research and market analysis
- Price monitoring and comparison
- Inventory tracking
- Competitive analysis
- Product catalog building
- E-commerce data aggregation

### Notes

- Results are automatically paginated until reaching the end or max items limit
- All prices are extracted in numeric format
- Product variations and color options are included
- Availability and delivery information is updated in real-time
- The actor handles dynamic content loading automatically

***

**Start scraping product data from Otto.de today!**

# Actor input Schema

## `searchUrl` (type: `string`):

The complete Otto.de search URL to scrape

## `maxItems` (type: `integer`):

Maximum number of products to fetch

## `proxyConfiguration` (type: `object`):

Proxy settings for the actor

## Actor input object example

```json
{
  "searchUrl": "https://www.otto.de/suche/lego/",
  "maxItems": 50,
  "proxyConfiguration": {
    "useApifyProxy": false,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("powerai/otto-search-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("powerai/otto-search-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).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 powerai/otto-search-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,powerai/otto-search-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/ywCe6yd0EJk3D6FJc/builds/QHCOANKCXYxR7yOIj/openapi.json