# Otto.de Product Scraper (`axlymxp/otto-scraper`) Actor
Scrape otto.de product listings at scale — name, price, brand, GTIN/EAN, images, availability, ratings, and reviews. Kasada-free product detail via Android app trick. Sitemap bulk mode covers 2.85M products. Pay only for results.
- **URL**: https://apify.com/axlymxp/otto-scraper.md
- **Developed by:** [axly](https://apify.com/axlymxp) (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 $3.00 / 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.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 Product Scraper
Extract product listings, full product details, and customer reviews from **otto.de** — Germany's second-largest e-commerce platform with 4M+ products across furniture, fashion, electronics, and home goods.
### Who uses this
- **E-commerce analysts & investors** — price monitoring, assortment tracking, competitive intelligence across otto.de's 4M+ catalog
- **Agencies & lead generators** — bulk product exports for clients, GTIN/EAN barcodes for catalog matching
- **PropTech & SaaS developers** — stable JSON schemas, sitemap-based incremental pipelines, webhook integrations
- **Researchers** — German consumer-goods datasets, price trends, brand presence analysis
### Output fields
| Field | Type | Description |
|---|---|---|
| `name` | string | Full product title |
| `url` | string | Product page URL |
| `product_id` | string | Short product ID (e.g. `S0OFS0ZL`) |
| `variation_id` | string | Variation ID (colour, size) |
| `brand` | string | Brand / manufacturer |
| `price` | string | Current price (e.g. `339.99`) |
| `currency` | string | Always `EUR` |
| `availability` | string | `InStock`, `OutOfStock`, or `LimitedAvailability` |
| `rating` | string | Average rating (1–5) |
| `review_count` | string | Total number of reviews |
| `image_url` | string | Primary product image URL |
| `sku` | string | Seller SKU *(requires `includeDetail`)* |
| `gtin13` | string | 13-digit GTIN / EAN barcode *(requires `includeDetail`)* |
| `description` | string | Full HTML product description *(requires `includeDetail`)* |
| `images` | array | All product image URLs *(requires `includeDetail`)* |
| `return_days` | integer | Return window in days *(requires `includeDetail`)* |
| `reviews` | array | Customer reviews with rating, title, text, verified status *(requires `includeReviews`)* |
| `scraped_at` | string | ISO-8601 UTC timestamp |
### Use cases
**Price monitoring** — track price changes daily across a product category or brand, alert when prices drop below threshold.
**Catalog enrichment** — match products by GTIN/EAN barcode, enrich internal catalogs with current availability and images.
**Competitive analysis** — compare brand presence, pricing strategy, and rating distribution across categories.
**Review mining** — aggregate verified customer reviews for sentiment analysis, product improvement, and brand reputation tracking.
**Sitemap crawl** — the 2.85M-product sitemap with daily `lastmod` timestamps enables efficient incremental scraping: only re-fetch products updated since your last run.
### Input parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
| `keywords` | string | — | Search keyword(s), e.g. `ecksofa` |
| `startUrls` | array | — | Category paths (e.g. `/moebel/sofas/`) or product URLs |
| `maxItems` | integer | 100 | Max results per run |
| `sort` | enum | `topseller` | Sort: `topseller`, `price_asc`, `price_desc`, `discount`, `newest`, `rating` |
| `includeDetail` | boolean | false | Enrich with GTIN, description, all images, return policy |
| `includeReviews` | boolean | false | Append customer reviews per product |
| `maxReviewsPerProduct` | integer | 50 | Max reviews per product |
| `sitemapMode` | boolean | false | Iterate the full sitemap (~2.85M products) |
| `sitemapSince` | string | — | ISO date — skip sitemap entries older than this (incremental mode) |
### Example input
```json
{
"keywords": "ecksofa",
"maxItems": 50,
"sort": "price_asc",
"includeDetail": true
}
````
### Example output
```json
{
"name": "VASAGLE Ecksofa L-Form, 244 cm, mit Schlaffunktion",
"url": "https://www.otto.de/p/vasagle-ecksofa-...-S0OFS0ZL/",
"product_id": "S0OFS0ZL",
"variation_id": "S0OFS0ZL2K1E",
"brand": "VASAGLE",
"price": "339.99",
"currency": "EUR",
"availability": "InStock",
"rating": "4",
"review_count": "150",
"image_url": "https://i.otto.de/i/otto/uuid/vasagle-ecksofa.jpg?$formatz$",
"sku": "S0OFS0ZL2K1E",
"gtin13": "6976119912345",
"description": "Hochwertiger Stoff, 5-Jahre-Garantie...
",
"images": ["https://i.otto.de/...jpg", "https://i.otto.de/...jpg"],
"return_days": 30,
"reviews": null,
"scraped_at": "2026-06-30T12:00:00Z"
}
```
### Scheduling & integrations
Schedule a daily run in the Apify Console → Tasks to keep your dataset fresh. Connect to Google Sheets, Airtable, or your own pipeline via **webhooks** — Apify fires a POST to your URL on run completion with a link to the dataset.
**Make / Zapier**: use the Apify connector to trigger downstream flows when new products appear or prices change.
**Amazon S3 / Google Cloud Storage**: export datasets directly from the Console in JSON, CSV, or XLSX.
### MCP / AI-agent integration
Use the companion [otto-mcp actor](https://apify.com/axlymxp/otto-mcp) to query otto.de live from Claude, Cursor, or any MCP-compatible AI agent. Add it as a remote MCP server in seconds — no local setup required.
### FAQ
**Does it handle all product types?** Yes — furniture, fashion, electronics, home goods, sports, and all other otto.de categories are supported.
**How fresh is the data?** Data is scraped in real time when you run the actor. For daily freshness, schedule a recurring run. The sitemap `lastmod` filter makes incremental runs efficient.
**Does it handle Kasada anti-bot on product detail pages?** Yes. Product detail enrichment (`includeDetail: true`) uses the Android app's cookie bypass — no browser or Playwright required. This is the key technical advantage over rivals.
**How many products can I get per run?** Up to 100,000 per run via `maxItems`. For the full catalog, use `sitemapMode: true` across multiple runs or with `sitemapSince` for incremental updates.
**Is this legal?** Scraping publicly available product data from otto.de for research, price monitoring, and internal use is a common and widely accepted practice. Always comply with otto.de's Terms of Service and applicable data protection laws (GDPR).
# Actor input Schema
## `keywords` (type: `string`):
Keyword(s) to search on otto.de, e.g. 'ecksofa' or 'laptop 16 zoll'. Use this OR startUrls OR sitemapMode.
## `startUrls` (type: `array`):
Category paths (e.g. /moebel/sofas/) or full product URLs (e.g. https://www.otto.de/p/...). Leave empty if using keywords or sitemapMode.
## `maxItems` (type: `integer`):
Stop after this many results. Default 100.
## `sort` (type: `string`):
Sort order for search and category results.
## `includeDetail` (type: `boolean`):
Fetch the full product detail page for each result — adds SKU, GTIN/EAN barcode, description, all images, and return policy. Uses Kasada bypass. Slower (~1s per product).
## `includeReviews` (type: `boolean`):
Fetch customer reviews for each product and include them in the output.
## `maxReviewsPerProduct` (type: `integer`):
Maximum number of reviews to fetch per product (only relevant if includeReviews is true).
## `sitemapMode` (type: `boolean`):
Iterate the full product sitemap (~2.85M products). Ignores keywords/startUrls. Combine with sitemapSince for incremental runs.
## `sitemapSince` (type: `string`):
ISO date (YYYY-MM-DD). Only yield sitemap entries with lastmod on or after this date. Great for daily incremental updates.
## Actor input object example
```json
{
"keywords": "ecksofa",
"startUrls": [
"/moebel/sofas/ecksofas/"
],
"maxItems": 100,
"sort": "topseller",
"includeDetail": false,
"includeReviews": false,
"maxReviewsPerProduct": 50,
"sitemapMode": false,
"sitemapSince": "2026-06-01"
}
```
# 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": [
"/moebel/sofas/ecksofas/"
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("axlymxp/otto-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": ["/moebel/sofas/ecksofas/"] }
# Run the Actor and wait for it to finish
run = client.actor("axlymxp/otto-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": [
"/moebel/sofas/ecksofas/"
]
}' |
apify call axlymxp/otto-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=axlymxp/otto-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Otto.de Product Scraper",
"description": "Scrape otto.de product listings at scale — name, price, brand, GTIN/EAN, images, availability, ratings, and reviews. Kasada-free product detail via Android app trick. Sitemap bulk mode covers 2.85M products. Pay only for results.",
"version": "1.0",
"x-build-id": "tHRoPFAHw7Geuy9Nj"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/axlymxp~otto-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-axlymxp-otto-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/axlymxp~otto-scraper/runs": {
"post": {
"operationId": "runs-sync-axlymxp-otto-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/axlymxp~otto-scraper/run-sync": {
"post": {
"operationId": "run-sync-axlymxp-otto-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"keywords": {
"title": "Search keywords",
"type": "string",
"description": "Keyword(s) to search on otto.de, e.g. 'ecksofa' or 'laptop 16 zoll'. Use this OR startUrls OR sitemapMode."
},
"startUrls": {
"title": "Start URLs",
"type": "array",
"description": "Category paths (e.g. /moebel/sofas/) or full product URLs (e.g. https://www.otto.de/p/...). Leave empty if using keywords or sitemapMode.",
"items": {
"type": "string"
}
},
"maxItems": {
"title": "Max results",
"minimum": 1,
"maximum": 100000,
"type": "integer",
"description": "Stop after this many results. Default 100.",
"default": 100
},
"sort": {
"title": "Sort order",
"enum": [
"topseller",
"price_asc",
"price_desc",
"discount",
"newest",
"rating"
],
"type": "string",
"description": "Sort order for search and category results.",
"default": "topseller"
},
"includeDetail": {
"title": "Enrich with full product detail",
"type": "boolean",
"description": "Fetch the full product detail page for each result — adds SKU, GTIN/EAN barcode, description, all images, and return policy. Uses Kasada bypass. Slower (~1s per product).",
"default": false
},
"includeReviews": {
"title": "Include customer reviews",
"type": "boolean",
"description": "Fetch customer reviews for each product and include them in the output.",
"default": false
},
"maxReviewsPerProduct": {
"title": "Max reviews per product",
"minimum": 1,
"maximum": 500,
"type": "integer",
"description": "Maximum number of reviews to fetch per product (only relevant if includeReviews is true).",
"default": 50
},
"sitemapMode": {
"title": "Sitemap bulk mode",
"type": "boolean",
"description": "Iterate the full product sitemap (~2.85M products). Ignores keywords/startUrls. Combine with sitemapSince for incremental runs.",
"default": false
},
"sitemapSince": {
"title": "Sitemap since date",
"type": "string",
"description": "ISO date (YYYY-MM-DD). Only yield sitemap entries with lastmod on or after this date. Great for daily incremental updates."
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```