Billiger.de Product Offers Scraper

Collect merchant offers for a Billiger.de product, including shop names, prices, shipping costs, stock text, and seller ratings. Batch product IDs to compare several listings together.

What data can you extract?

Field	Type	Description
shop	String	Merchant name selling the product.
shop_tags	Array<String>	Labels describing the merchant or its offer.
mp_seller_name	String or null	Marketplace seller name when the offer comes from a third-party seller.
shop_group_size	String or null	Number of offers grouped for this shop, when reported.
price_per_unit	String	Offer price per unit in the source currency and format.
availability_code	String	Billiger.de availability code for this offer.
brand_id	Integer	Billiger.de identifier for the product brand.
brand	String	Brand name of the product in this offer.
condition	String	Condition of the offered item, such as new or refurbished.
shop_id	Integer	Billiger.de identifier for the merchant.
category_id	Integer	Billiger.de category identifier for the offered product.
category	String	Product category assigned by Billiger.de.
category_tags	Array<String>	Category labels associated with the offer.
energy_tyre_labels	Array<Object>	Tyre efficiency label records attached to the product.
starting_prizes	Boolean	True when the offer includes a starting or promotional price.
shop_logo_url	String	Merchant logo image URL.
shipping_costs	Integer	Delivery cost for this merchant offer, in the source currency.
shop_threshold_free_shipping	Integer or null	Minimum order amount for free shipping, when reported.
type	String	Billiger.de result type for this offer.
price	Integer	Advertised merchant offer price, in the source currency.
promo_text	String or null	Promotion text attached to the offer, when available.
description	String	Offer or product description shown by the merchant.
old_price	Integer or null	Previous offer price before a discount, in the source currency.
availability_text	String	Stock or delivery availability displayed for the offer.
mp_feedback_url	String or null	Marketplace seller feedback page URL, when available.
mp_seller_userreview_count	String or null	Number of marketplace seller reviews, when reported.
shop_userreview_count	Integer	Number of customer reviews for the shop.
offer_id	Integer	Billiger.de identifier for this merchant offer.
voucher_text	String or null	Voucher or coupon information attached to the offer.
listed_price	Integer	List price displayed before discount, in the source currency.
total_price	Integer	Offer price including delivery, in the source currency.
mobile_optimized	Boolean	True when the merchant offer page is marked as mobile optimized.
name	String	Product name associated with the merchant offer.
mp_seller_userreview_rating	Number or null	Marketplace seller rating; scale follows the source.
shop_userreview_rating	Number	Average customer rating for the shop; scale follows the source.
shop_userreview_rating_combined	Number	Combined shop rating across available review sources.
shop_userreview_count_combined	Integer	Combined number of shop reviews across available sources.
payment_methods	Array<Object>	Payment methods accepted for this offer.
shipping_methods	Array<Object>	Shipping options available for this offer.
image_url_large	String	Large product image URL associated with the offer.
product_id	Integer	Billiger.de product identifier for the item being offered.
image_url	String	Product image URL associated with the offer.
has_image	Boolean	True when an image is available for this offer.
shop_data	String or null	Additional merchant details supplied by Billiger.de.
input_product_id	String	Product id submitted to retrieve this shop offer.
scraped_at	String	UTC ISO 8601 timestamp when this dataset record was collected.

Use cases

• Pricing teams can compare current merchant prices and shipping costs.
• Online retailers can track seller availability and ratings for competing products.
• Shoppers can export offer links and sort merchants before making a purchase.

How to use

1. Add a Billiger.de product ID to product_ids for each lookup.
2. Choose a sort order and optional offer conditions.
3. Set page and result limits, then export one row per shop offer.

{
  "product_ids": [
    {
      "product_id": 4612031183
    }
  ],
  "page": 1,
  "page_size": 5,
  "all": false,
  "maxResults": 5,
  "maxPages": 1
}

Input

Field	Type	Required	Description
product_ids	Array<object>	Yes	Billiger.de product IDs whose shop offers you want to compare.
product_ids[].product_id	integer	Yes per entry	Canonical Billiger product identifier.
product_ids[].page	integer	No	1-based page number. Defaults to 1.
product_ids[].page_size	integer	No	Offers per page. Defaults to 20, maximum 50.
product_ids[].sort	string	No	relevance, price, total_price, shop_userreview_rating, shop_userreview_count, or shop_rating alias.
product_ids[].direction	string	No	Sort direction: asc or desc.
product_ids[].group_by_shop	boolean	No	Must remain false so offer pagination stays item-level and exhaustive.
product_ids[].all	boolean	No	Set true to exhaust every expected offer page.
product_ids[].offer_conditions	string	No	Numeric condition IDs such as 1 or 1,2,3.
page	integer	No	1-based page number. Defaults to 1.
page_size	integer	No	Offers per page. Defaults to 20, maximum 50.
sort	string	No	relevance, price, total_price, shop_userreview_rating, shop_userreview_count, or shop_rating alias.
direction	string	No	Sort direction: asc or desc.
group_by_shop	boolean	No	Must remain false so offer pagination stays item-level and exhaustive.
all	boolean	No	Set true to exhaust every expected offer page.
offer_conditions	string	No	Numeric condition IDs such as 1 or 1,2,3.
maxResults	integer	No	Maximum dataset items to save across this entire run.
maxPages	integer	No	Maximum pages to request for each batch entry.

Output example

{
  "shop": "Northstar Outdoor Supply",
  "shop_tags": [
    "outdoor specialist"
  ],
  "mp_seller_name": "Morgenrot Handelskontor",
  "shop_group_size": null,
  "price_per_unit": "€549.90",
  "availability_code": "AVAILABLE",
  "brand_id": 8000825,
  "brand": "Northstar",
  "condition": "New",
  "shop_id": 8000751,
  "category_id": 8000272,
  "category": "Consumer electronics",
  "category_tags": [
    "Consumer electronics"
  ],
  "energy_tyre_labels": [
    {
      "icon": "primary-image",
      "desc": "Main listing image and product details."
    }
  ],
  "starting_prizes": true,
  "shop_logo_url": "https://cdn.northstar.invalid/images/aurora-front.webp",
  "shipping_costs": 4,
  "shop_threshold_free_shipping": 4,
  "type": "Product",
  "price": 549,
  "promo_text": "High quality and prompt delivery.",
  "description": "Compact design with dependable performance and a two-year warranty.",
  "old_price": 629,
  "availability_text": "In stock",
  "mp_feedback_url": "https://www.billiger.de/products/northstar-aurora-1-tb",
  "mp_seller_userreview_count": null,
  "shop_userreview_count": 347,
  "offer_id": 8000857,
  "voucher_text": "High quality and prompt delivery.",
  "listed_price": 629,
  "total_price": 584,
  "mobile_optimized": true,
  "name": "Northstar Aurora 1 TB Smartphone",
  "mp_seller_userreview_rating": 4.7,
  "shop_userreview_rating": 4.7,
  "shop_userreview_rating_combined": 4.7,
  "shop_userreview_count_combined": 347,
  "payment_methods": [
    {
      "id": 8000242,
      "sort_key": 8,
      "description": "Compact design with dependable performance and a two-year warranty."
    }
  ],
  "shipping_methods": [
    {
      "id": 8000243,
      "sort_key": 8,
      "description": "Compact design with dependable performance and a two-year warranty."
    }
  ],
  "image_url_large": "https://cdn.northstar.invalid/images/aurora-front.webp",
  "product_id": 8000209,
  "image_url": "https://cdn.northstar.invalid/images/aurora-front.webp",
  "has_image": true,
  "shop_data": null,
  "input_product_id": 4612031183,
  "scraped_at": "2026-10-01T12:00:00Z"
}

Pricing

$0.30 per 1,000 results. Apify saves one dataset item per result and applies the Actor’s per-result price to saved items.

Pagination follows the source response. Set maxPages per batch entry and maxResults across the run.

FAQ

Is scraping this information legal?

Rules depend on the source, location, data type, and intended use. Check applicable laws and source terms, and make sure your workflow follows privacy and data protection requirements.

What limits apply?

Submit up to 100 batch entries per run. Use maxResults to cap saved items and maxPages to limit pages for each entry. Results also depend on source availability and your Scrappa API plan.

Can I start runs through the Apify API?

Yes. Send a POST request to https://api.apify.com/v2/acts/thescrappa~billiger-offers-scraper/runs with your Actor input, or use an Apify client library. Read the output from the run dataset.

Can I connect the results to other tools?

Yes. Apify integrations and APIs can pass dataset results to Make, Zapier, n8n, Google Sheets, and other data workflows.

What happens when one input fails?

The Actor logs a short source error and continues with the remaining entries. Transient rate limits and gateway errors are retried; if every entry fails, the run reports an error.

What does one result represent?

Each dataset row is one shop offer returned for a product. A product with several merchants can produce several rows.

Related Scrappa Actors

• Billiger.de Price Comparison Search Scraper
• Geizhals Product & Offers Scraper
• Trusted Shops Shop Profile Scraper