OTTO.de Scraper

OTTO.de Scraper creates a structured dataset of OTTO.de product and review records collected from search queries and category, search, or product URLs. Each dataset item can include the product name, brand, price, suggested price, discount label, rating, review count, availability, category, and identifiers, or one customer review with its rating, title, text, reviewer, and review date. Query the source using a search term or URL with optional filters, control the result limit with maxItems, and retrieve records through the Apify Dataset API or export them as JSON, CSV, Excel, or XML.

Dataset at a glance

Property	Value
Source	otto.de
Record unit	One product, product detail, or customer review
Input methods	Search queries, start URLs, optional filters
Main identifiers	productId, variationId, articleNumber, url
Delivery	Apify Dataset and API
Export formats	JSON, CSV, Excel, XML
Update model	Fresh records per Actor run
Pricing	Pay per event, from $1.50 per 1,000 events

Coverage and available records

The Actor returns three record types:

• product — product listing records from search or category pages.
• product-details — fuller product records when includeProductDetails is enabled, adding description, identifiers, selected size, stock, and shipping.
• product-review — one dataset row per customer review when includeReviews is enabled.

The Actor supports a wide set of OTTO filters including brand, color, size, shoe size (EU/UK/US), target group, promotion, minimum discount percent, price range, rating, material, seller, season, style, and additional custom filters via additionalFilters. Results can be sorted with sortBy.

Data dictionary

Product and product-detail fields:

Field	Type	Nullable	Description	Example
recordType	string	No	product or product-details	product
imageUrl	string	No	Product image	https://i.otto.de/...
name	string	No	Product name	Nike Air Max 270
brand	string	Yes	Brand name	Nike
price	number	No	Current price in EUR	129.99
currency	string	Yes	Currency code	EUR
suggestedPrice	number	Yes	List/suggested price	149.99
discountLabel	string	Yes	Discount label	-13%
rating	number	Yes	Average rating	4.6
reviewCount	integer	Yes	Number of reviews	128
availability	string	Yes	Availability status	Lieferbar
color	string	Yes	Color	schwarz
category	string	Yes	Category name	Sneaker
url	string	No	Product page URL	https://www.otto.de/...
productId	string	No	OTTO product identifier	12345678
variationId	string	Yes	Variation identifier	87654321
articleNumber	string	Yes	Article number	ABC123
detailsIncluded	boolean	Yes	Whether details were fetched	true
description	string	Yes	Product description (details)	—
gtin	string	Yes	GTIN (details)	—
selectedSize	string	Yes	Selected size (details)	42
inStock	boolean	Yes	Stock status (details)	true
shippingPrice	number	Yes	Shipping price (details)	3.95

Review fields:

Field	Type	Nullable	Description	Example
recordType	string	No	product-review	product-review
productName	string	Yes	Reviewed product name	Nike Air Max 270
rating	number	Yes	Review rating	5
title	string	Yes	Review title	Toller Schuh
text	string	Yes	Review body	—
verifiedPurchase	boolean	Yes	Verified purchase flag	true
reviewer	string	Yes	Reviewer name	Anna
location	string	Yes	Reviewer location	Berlin
reviewedAt	string	Yes	Review date	2025-03-14
variantSize	string	Yes	Reviewed variant size	42
variantColor	string	Yes	Reviewed variant color	schwarz
seller	string	Yes	Seller name	OTTO
helpfulVotes	integer	Yes	Helpful votes	12
helpfulVotesTotal	integer	Yes	Total helpful votes	15
productUrl	string	Yes	Reviewed product URL	https://www.otto.de/...
reviewId	string	Yes	Review identifier	—
productId	string	Yes	Product identifier	12345678

Example dataset record

{
  "recordType": "product",
  "imageUrl": "https://i.otto.de/i/otto/12345678",
  "name": "Nike Air Max 270",
  "brand": "Nike",
  "price": 129.99,
  "currency": "EUR",
  "suggestedPrice": 149.99,
  "discountLabel": "-13%",
  "rating": 4.6,
  "reviewCount": 128,
  "category": "Sneaker",
  "url": "https://www.otto.de/p/nike-air-max-270-12345678",
  "productId": "12345678",
  "variationId": "87654321"
}

The record above was produced by the input in the next section: search query shoes with product details and reviews enabled.

Query and input reference

Input	Type	Required	Default	Accepted values	Description
searchQueries	array	No	—	Search terms	Keywords to search
startUrls	array	No	—	OTTO.de URLs	Category, search, filtered, or product URLs
sortBy	string	No	topseller	topseller, preis-aufsteigend, preis-absteigend, hoechste-reduzierung, neuheiten, bewertung	Result sort order
brands	array	No	—	Brand slugs	Brand filter
colors	array	No	—	Color slugs	Color filter
sizes	array	No	—	Size slugs	Clothing size filter
shoeSizesEu / shoeSizesUk / shoeSizesUs	array	No	—	Size slugs	Shoe size filters
targetGroups	array	No	—	Audience slugs	Target group filter
promotions	array	No	—	Promotion slugs	Promotion filter
minDiscountPercent	integer	No	—	0–90	Discount filter
reducedOnly	boolean	No	false	true / false	Reduced items only
minPrice / maxPrice	integer	No	—	EUR	Price range filter
minRating	string	No	—	5-sterne, ab-4-sternen, ab-3-sternen, ab-2-sternen, ab-1-stern	Rating filter
materials, sellers, seasons, styles, soleProfiles, sustainability, pronations, features, covers, surfaces, upholstery, rooms, services, seatCounts, dimensions	array	No	—	Filter slugs	Additional OTTO filters
additionalFilters	object	No	{}	Filter id → slug(s)	Custom filters
maxItems	integer	No	20	0 = unlimited	Maximum products (reviews excluded)
includeProductDetails	boolean	No	false	true / false	Fetch product details
includeReviews	boolean	No	false	true / false	Store each review as its own row
maxReviewsPerProduct	integer	No	0	0 = all	Cap reviews per product
proxyConfiguration	object	No	Residential	Apify proxy settings	Proxy configuration

Minimal request:

{
  "searchQueries": ["shoes"],
  "maxItems": 20
}

Advanced request:

{
  "searchQueries": ["shoes"],
  "sortBy": "topseller",
  "brands": ["nike"],
  "minDiscountPercent": 20,
  "minPrice": 20,
  "maxPrice": 150,
  "maxItems": 100,
  "includeProductDetails": true,
  "includeReviews": true,
  "maxReviewsPerProduct": 10
}

Retrieve the data through the API

1. Start the Actor with a JSON input containing searchQueries and/or startUrls.
2. Wait for the run to finish.
3. Read records from the run's default dataset.
4. Paginate or export the dataset.

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("datascrapers/otto-de-scraper").call(
    run_input={
        "searchQueries": ["shoes"],
        "maxItems": 20,
        "includeProductDetails": True,
    }
)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["recordType"], item.get("name"), item.get("price"))

Apify's generated API tab documents the equivalent calls for other languages.

Data quality and record handling

• Completeness — detail fields (description, identifiers, sizes, shipping) are conditional on includeProductDetails; review fields are conditional on includeReviews.
• Source changes — prices, availability, and discounts reflect the response at scrape time.
• Deduplication — the Actor does not deduplicate across runs; use productId (and variationId) as the stable key.
• Retry/error behavior — products or reviews that cannot be resolved are skipped; the run continues.
• Normalization — prices are numbers in EUR; ratings are numeric.

Export and pipeline examples

Destination	Recommended method	Typical use
PostgreSQL/Supabase	Dataset API or webhook consumer	Product and price history
Google Sheets	Apify integration	Competitive price tracking
S3/cloud storage	Scheduled export or integration	Catalog snapshots

Pricing and cost examples

Billing is pay per event: each record pushed is one charge, and each event type is priced the same. Platform compute is included in the actor usage fee.

Event	What counts	Price
product	Product listing record	$1.50 / 1,000
product-details	Product detail record	$1.50 / 1,000
product-review	Customer review record	$1.50 / 1,000

Records	Estimated base cost
1,000	$1.50
10,000	$15.00
100,000	$150.00

Estimates depend on the verified pricing model and which options you enable.

Limitations and responsible data use

• Only publicly accessible OTTO.de product and review data is returned.
• Prices, availability, and discounts change frequently and reflect the moment of collection.
• Fields may be missing or conditional depending on the product and options enabled.
• No historical snapshots are stored unless you keep them yourself.
• You are responsible for complying with OTTO's terms and applicable laws.

Dataset questions

What does one dataset item represent?

One product, product detail, or customer review record, depending on the options enabled.

Which field should I use as a unique identifier?

Use productId for products and reviewId for reviews.

Are fields nullable or conditional?

Yes. Detail fields are conditional on includeProductDetails, and review fields are conditional on includeReviews.

Can I retrieve the records as CSV or JSON?

Yes. Export the default dataset as JSON, CSV, Excel, or XML, or read it through the Apify Dataset API.

How do I paginate large datasets?

Set maxItems to cap products, or paginate the dataset through the Dataset API.

What counts as a billable result?

Each product, product-detail, or review record pushed to the dataset is one event charge.

Related datasets from Data Scrapers

• Zalando Scraper — German fashion product records for the same apparel market.
• Zara Scraper — fashion product records that join with OTTO for cross-retailer pricing.
• Nike Scraper — brand product records for footwear and apparel analysis.
• Amazon Scraper — general merchandise records for broader price benchmarking.

Data Scrapers support

Need an additional field, record type, or export workflow? Contact Data Scrapers at stardustspotlight@gmail.com. Include a sample source URL, required fields, expected record volume, and preferred delivery format.