Heureka.cz Reviews Scraper: Extract Product Reviews at Scale

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What Is Heureka.cz?

Heureka.cz (and its Slovak counterpart Heureka.sk) is one of Central Europe's largest price comparison and product review platforms, covering electronics, appliances, fashion, and more. Millions of verified buyers leave structured reviews across thousands of product categories. Collecting this data manually is impractical — the Heureka Reviews Scraper automates extraction, delivering clean, structured records ready for analysis.

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Overview

The Heureka.cz Reviews Scraper collects customer review data from any Heureka product review page, including both Czech (.cz) and Slovak (.sk) domains. It is suited for:

• Brand managers monitoring product sentiment and reputation
• E-commerce analysts benchmarking competitor product perception
• Data scientists building sentiment analysis or NLP training datasets
• Retailers tracking customer feedback across categories

The scraper supports pagination (via ?page=N in the URL), bulk URL input, and configurable item limits per URL.

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Input Format

{
  "urls": [
    "https://mobilni-telefony.heureka.cz/samsung-galaxy-s25-ultra-12gb-256gb-s938b-titanium-black/#recenze/?page=3"
  ],
  "ignore_url_failures": true,
  "max_items_per_url": 200
}

Field	Type	Description
urls	array	URLs of Heureka review list pages to scrape. Add one per line or use bulk edit. Must point to a #recenze/ review section. Supports ?page=N for pagination.
max_items_per_url	integer	Maximum number of reviews to collect per URL. Default: 20. Set higher (e.g., 200) for comprehensive collection.
ignore_url_failures	boolean	If true, the scraper continues running when a URL fails instead of stopping the entire run. Recommended for bulk jobs. Default: true.

Tip: To scrape all reviews for a product, start from ?page=1 or omit the page parameter. For large products, increase max_items_per_url accordingly.

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Output Format

Sample Output Record

{
  "id": "c42c61c2-4d0f-5b1b-9669-34407eb33be8",
  "legacy_id": "22441859",
  "shop": {
    "id": "df85bcfa-b0f4-5413-8d24-9a859d64a924",
    "legacy_id": "74825",
    "name": "Samsung.cz",
    "url": "https://obchody.heureka.cz/samsung-com-cz/recenze/",
    "owner_id": "07469ce8-d236-5d56-81dd-a5bd07ff318c"
  },
  "product": {
    "name": "Samsung Galaxy S25 Ultra 12GB/512GB S938B Titanium Gray",
    "main_image_url": "https://img-cdn.heureka.group/v1/89794ee4-a071-4eae-b56b-84f0eb460e30.jpg"
  },
  "author": {
    "name": "Jelapeno",
    "avatar_url": null
  },
  "filled_at": "2026-05-29T13:20:06",
  "recommends_type": "RECOMMENDS",
  "rating": 10,
  "pros": [
    "Hezký telefon",
    "Kvalitní spracovani",
    "Krásné fotky"
  ],
  "cons": [],
  "summary": "Nic",
  "verified": true,
  "type": "REGULAR",
  "response": null,
  "images": [],
  "from_url": "https://mobilni-telefony.heureka.cz/samsung-galaxy-s25-ultra-12gb-256gb-s938b-titanium-black/#recenze/?page=2"
}

Each scraped review returns the following fields:

Core Identifiers

Field	Meaning
ID	Unique Heureka identifier for the review
Legacy ID	Older internal ID, may be present for migrated reviews

Review Content

Field	Meaning
Summary	Main review text written by the customer
Pros	Positive aspects highlighted by the reviewer
Cons	Negative aspects or drawbacks mentioned
Rating	Numeric score given by the reviewer (typically 1–5)
Recommends Type	Whether the reviewer recommends the product (e.g., yes, no, neutral)

Author & Metadata

Field	Meaning
Author	Display name or anonymized identifier of the reviewer
Filled At	Timestamp of when the review was submitted
Verified	Boolean flag indicating whether the purchase was verified
Type	Review type (e.g., product review, shop review)

Context & Relations

Field	Meaning
Shop	Name of the shop the purchase was made through, if applicable
Product	Product name or reference the review is associated with
Response	Seller or platform response to the review, if any
Images	URLs of images attached to the review by the customer

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How to Use

1. Find the review URL — Navigate to a product page on Heureka.cz, click the Recenze (Reviews) tab, and copy the URL (e.g., ...#recenze/?page=1).
2. Configure input — Paste URLs into the urls array. Adjust max_items_per_url for the volume needed.
3. Run the scraper — Start the actor and monitor progress in the run log.
4. Export — Download results as JSON, CSV, or Excel.

Common issues:

• Ensure the URL contains #recenze/ — product listing URLs without this section will not return reviews.
• For paginated scraping, either input multiple page URLs or set a high max_items_per_url to let the scraper paginate automatically.

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Use Cases & Business Value

• Sentiment analysis: Feed pros/cons and summaries into NLP pipelines
• Competitive intelligence: Compare review scores across similar products from different brands
• Verified review filtering: Use the Verified flag to isolate trustworthy feedback
• Seller monitoring: Track Response data to measure merchant engagement
• Image collection: Gather user-submitted product photos via the Images field

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Conclusion

The Heureka.cz Reviews Scraper turns one of Central Europe's most trusted review platforms into a structured data source. With 15 output fields covering sentiment, verification, shop context, and media, it delivers everything needed for product research, brand monitoring, or ML training — without any manual effort.