# Otto Scraper - Preiswert Low-cost💲🔥🇩🇪🛒 (`delectable_incubator/otto-scraper---preiswert-low-cost`) Actor
Easily scrape product listings from Otto.de 🛒🇩🇪, one of Germany’s largest e-commerce platforms.
Enter a keyword to extract product name, price, rating, availability, images, and URLs.
Perfect for price tracking, competitor analysis, and e-commerce market research with fast structured data 📊⭐
- **URL**: https://apify.com/delectable\_incubator/otto-scraper---preiswert-low-cost.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** E-commerce, Developer tools, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $0.00005 / actor start
This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
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 Search Scraper 🔍📊 – Leistungsstarker Otto Produktsuch-Scraper
The Otto Search Scraper is a fast, reliable, and powerful tool designed for the Otto Scraper, allowing you to extract structured product listings from Otto.de, one of Germany’s largest e-commerce platforms.
Der Otto Search Scraper ist ein schnelles, zuverlässiges und leistungsstarkes Tool aus dem Otto Scraper Store, das strukturierte Produktdaten von Otto.de extrahiert.
Whether you're monitoring prices, analyzing competitors, tracking availability, or building large e-commerce datasets, this scraper delivers clean, structured Otto product data at scale.
---
### 🔍 What This Scraper Does
Simply provide a keyword, and the scraper will return:
✅ All matching Otto products (up to your limit)
✅ Structured product data (price, rating, images, variations, etc.)
✅ Clean dataset ready for analytics or AI use
---
### 📊 Data Extracted
| Field | Description |
| ---------------- | ----------------------------------- |
| `product_id` | Unique product identifier on Otto |
| `variation_id` | Variation SKU (color, size, etc.) |
| `article_number` | Official Otto article number |
| `brand` | Product brand |
| `name` | Full product name |
| `retail_price` | Current price |
| `previous_price` | Old price (if discounted) |
| `discount` | Discount information |
| `rating` | Average rating (0–5) |
| `review_count` | Number of reviews |
| `product_url` | Product page URL |
| `image_url` | Main product image |
| `availability` | Stock / delivery status |
| `colors` | Available color variants |
| `is_sponsored` | Sponsored product flag (true/false) |
---
### 🛠 How to Use the Scraper
1️⃣ Enter bulk Keywords
Example:
keyword = "lego"
2️⃣ Set Max Items
max_items = 360
(Default: 360 products)
3️⃣ Run the Scraper
The actor will:
🚀 Search Otto.de automatically
🚀 Handle pagination
🚀 Extract structured product data
🚀 Remove duplicates
4️⃣ Export Results
You can export data in:
✅ JSON
✅ CSV
✅ Excel
✅ XML
✅ HTML
---
### 🌟 Why Use This Otto Scraper?
🛍️ Price tracking across Otto.de
📊 Market & product research
🔎 Competitor & brand monitoring
🚀 High-speed large-scale scraping
🇩🇪 Optimized for German e-commerce data
---
### 📥 Input Schema
Example Input
````
{
"keyword": "lego",
"max\_items": 360
}
```
Input Fields
| Field | Type | Description |
| ----------- | ------- | -------------------------------- |
| `keyword` | string | Search term (e.g. lego, iphone) |
| `max_items` | integer | Max number of products to scrape |
---
### 📤 Output Example
```
{
"product\_id": "2029112026",
"variation\_id": "2029112070",
"article\_number": "16836118",
"brand": "Apple",
"name": "iPhone 17 Smartphone",
"retail\_price": "ab 949,00 €",
"previous\_price": "N/A",
"discount": "N/A",
"rating": 5,
"review\_count": "46",
"product\_url": "https://www.otto.de/...",
"image\_url": "https://i.otto.de/...",
"availability": "lieferbar in 4 Wochen",
"colors": \["Schwarz", "Weiß"],
"is\_sponsored": true
}
````
---
### 🧾 Output Explanation
product_id → Unique product identifier
variation_id → Product variation (size/color/etc.)
article_number → Otto official article number
brand → Brand name
name → Product title
retail_price → Current price
previous_price → Old price if available
discount → Discount info if available
rating → Average rating (0–5)
review_count → Number of reviews
product_url → Direct product link
image_url → Product image
availability → Stock status
colors → Available variants
is_sponsored → Sponsored product flag
---
### ⚠️ Disclaimer
This scraper is an independent tool and is not affiliated with, endorsed by, or sponsored by Otto GmbH & Co KG.
---
### 💸 Pricing
This scraper runs on a **pay per events subscription model**.
You only pay for **successful runs**.
💳 **Price:** $4.89 / 1000 results
---
### Related Actors
If you're interested in **other german** (trade fair / messe) data scraping solutions, explore more exhibitor & trade fair scrapers across Europe 🇩🇪🇪🇺
(Coming soon)
---
### 📬 Support
⭐⭐⭐⭐⭐ Leave a 5-star rating if you like this tool
---
### 🌍 PrimeScrape
Built for scalable web data extraction & automation
Contact for custom scraping solutions or enterprise requests via Apify or by email.
# Actor input Schema
## `keywords` (type: `array`):
List of keywords to search on Otto. One search run per keyword.
Examples: lego, playmobil, nintendo
Français : Liste de mots-clés à rechercher sur Otto. Une recherche par mot-clé.
Deutsch: Liste der Suchbegriffe für die Otto-Suche. Eine Suche pro Begriff.
## `max_items` (type: `integer`):
Limits how many product results will be scraped per keyword.
Français : Limite combien de résultats seront extraits par mot-clé.
Deutsch: Begrenzt die Anzahl der Produktresultate pro Suchbegriff.
## Actor input object example
```json
{
"keywords": [
"playmobil",
"lego",
"nintendo"
],
"max_items": 120
}
````
# Actor output Schema
## `overview` (type: `string`):
No description
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"keywords": [
"playmobil",
"lego",
"nintendo"
],
"max_items": 120
};
// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/otto-scraper---preiswert-low-cost").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = {
"keywords": [
"playmobil",
"lego",
"nintendo",
],
"max_items": 120,
}
# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/otto-scraper---preiswert-low-cost").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 '{
"keywords": [
"playmobil",
"lego",
"nintendo"
],
"max_items": 120
}' |
apify call delectable_incubator/otto-scraper---preiswert-low-cost --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=delectable_incubator/otto-scraper---preiswert-low-cost",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Otto Scraper - Preiswert Low-cost💲🔥🇩🇪🛒",
"description": "Easily scrape product listings from Otto.de 🛒🇩🇪, one of Germany’s largest e-commerce platforms.\n\nEnter a keyword to extract product name, price, rating, availability, images, and URLs. \n\nPerfect for price tracking, competitor analysis, and e-commerce market research with fast structured data 📊⭐",
"version": "0.0",
"x-build-id": "QkUWgGoFFVniEuDTi"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/delectable_incubator~otto-scraper---preiswert-low-cost/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-delectable_incubator-otto-scraper---preiswert-low-cost",
"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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/delectable_incubator~otto-scraper---preiswert-low-cost/runs": {
"post": {
"operationId": "runs-sync-delectable_incubator-otto-scraper---preiswert-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/delectable_incubator~otto-scraper---preiswert-low-cost/run-sync": {
"post": {
"operationId": "run-sync-delectable_incubator-otto-scraper---preiswert-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": [
"keywords"
],
"properties": {
"keywords": {
"title": "Keywords 🔍 / Schlüsselwörter",
"type": "array",
"description": "List of keywords to search on Otto. One search run per keyword.\n\nExamples: lego, playmobil, nintendo\n\nFrançais : Liste de mots-clés à rechercher sur Otto. Une recherche par mot-clé.\nDeutsch: Liste der Suchbegriffe für die Otto-Suche. Eine Suche pro Begriff.",
"default": [
"playmobil"
],
"items": {
"type": "string"
}
},
"max_items": {
"title": "Maximum number of results per keyword 🔢 / Maximale Anzahl der Ergebnisse pro Schlüsselwort",
"type": "integer",
"description": "Limits how many product results will be scraped per keyword.\n\nFrançais : Limite combien de résultats seront extraits par mot-clé.\nDeutsch: Begrenzt die Anzahl der Produktresultate pro Suchbegriff.",
"default": 120
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```