Otto Scraper — German E-Commerce Products & Prices avatar

Otto Scraper — German E-Commerce Products & Prices

Pricing

from $4.00 / 1,000 result scrapeds

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Otto Scraper — German E-Commerce Products & Prices

Otto Scraper — German E-Commerce Products & Prices

Scrape product data from otto.de. Extract names, prices, descriptions, images, and availability from Germany's #2 e-commerce platform.

Pricing

from $4.00 / 1,000 result scrapeds

Rating

0.0

(0)

Developer

Studio Amba

Studio Amba

Maintained by Community

Actor stats

0

Bookmarked

3

Total users

2

Monthly active users

8 days ago

Last modified

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Otto Scraper

Pull product data from otto.de, Germany's massive online department store. This scraper handles search queries and category pages across Otto's entire catalog -- furniture, fashion, electronics, home goods, and more.

How it works

Give it a search term or paste in category URLs from otto.de. The scraper visits listing pages, follows links to individual product pages, and extracts structured data from each one using HTML parsing with microdata fallbacks. Pagination is handled automatically.

If you don't provide any input, it defaults to searching for "sofa" as a demo.

Input

FieldTypeDescription
searchQuerystringSearch otto.de for this term (e.g., "waschmaschine")
categoryUrlsarrayOtto.de category or listing URLs to scrape
maxResultsintegerCap on number of products returned (default: 100)
proxyConfigurationobjectProxy settings -- recommended for larger runs

What you get back

FieldTypeExample
namestring"Ecksofa mit Schlaffunktion"
brandstring"Home affaire"
pricenumber449.99
originalPricenumber699.99
currencystring"EUR"
skustring"304815926"
inStockbooleantrue
ratingnumber4.3
reviewCountnumber87
urlstringFull product URL
imageUrlstringPrimary product image
imageUrlsarrayAll gallery images
categorystring"Sofas & Couches"
descriptionstringProduct description text
specsobject{"Breite": "234 cm", "Material": "Polyester"}
scrapedAtstringISO timestamp

Sample output

{
"name": "Ecksofa mit Schlaffunktion",
"brand": "Home affaire",
"price": 449.99,
"originalPrice": 699.99,
"currency": "EUR",
"inStock": true,
"rating": 4.3,
"reviewCount": 87,
"url": "https://www.otto.de/p/home-affaire-ecksofa-1234567/",
"imageUrl": "https://i.otto.de/i/otto/product-image.jpg",
"category": "Sofas & Couches",
"scrapedAt": "2026-03-14T09:15:00.000Z"
}

Typical costs

Around 1,000 products per $1 in Apify credits using CheerioCrawler. Proxy usage increases cost for large runs.

Good to know

  • All product data is in German
  • Otto uses server-side rendering, so most data is accessible via HTTP
  • The scraper follows product links matching /p/ or /produkt/ URL patterns
  • Some pages may require proxy to avoid rate limiting on larger crawls

How to scrape Otto data

  1. Go to this actor's page on the Apify Store.
  2. Click Try for free to open it in Apify Console.
  3. Configure your search query or URL, set the maximum number of results, and adjust proxy settings if needed.
  4. Click Start and wait for the run to finish.
  5. Download your data in JSON, CSV, Excel, or connect it to your workflow via API.

You can also schedule regular runs, set up webhooks for real-time notifications, or integrate the results directly into your application using the Apify API.

Cost and performance

The cost depends on the number of results and the complexity of the pages being scraped. As a rough guide:

  • Simple product listings: ~0.25 compute units per 1,000 results
  • Detailed product pages: ~1-2 compute units per 1,000 results

The actual cost depends on your Apify subscription plan. Check the Apify pricing page for details.

Tips and tricks

  • Start small: test with maxResults: 5 before running large scrapes.
  • Use proxies: residential proxies give the best success rates for Otto.
  • Schedule runs: set up recurring runs to keep your data fresh automatically.
  • Integrate via API: use the Apify API or client libraries to fetch results programmatically.
  • No login required: this actor scrapes publicly available data without needing an account.

Limitations

  • Data is scraped from the public website and may change without notice.
  • Some products or listings may not be available in all regions.
  • Very large scraping jobs may be slower due to proxy rotation and rate limiting.
  • Respect the website's terms of service and use responsibly.

Features

  • No login required — scrapes publicly available data from Otto without needing credentials or cookies.
  • Structured output — results are returned as clean JSON objects, ready for processing.
  • Pagination handling — automatically follows multiple pages of results.
  • Proxy support — configurable proxy settings for reliable, large-scale scraping.
  • Flexible input — search by keyword, provide specific URLs, or crawl categories.
  • Scheduled runs — run on a schedule to keep your dataset up to date automatically.
  • API access — integrate results into your workflow using the Apify API or webhooks.

FAQ

Is it legal to scrape Otto? Web scraping of publicly available data is generally permitted. This actor only accesses information that is publicly visible to any website visitor. Always review the website's terms of service before scraping.

How often should I run this scraper? For price monitoring or competitive intelligence, daily or weekly runs are common. Set up a schedule in Apify Console to automate this.

Can I export the data to Google Sheets or Excel? Yes. After each run, you can download results in CSV, JSON, or Excel format directly from Apify Console. You can also connect results to Google Sheets using Apify integrations.

What if the scraper stops working? Websites change their structure occasionally. If you notice issues, please open an issue on the actor's page. We actively maintain this scraper and fix issues promptly.