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⇱ Heureka Reivews Scraper Β· Apify


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Heureka Reivews Scraper

Scrape verified customer reviews from Heureka.cz and Heureka.sk β€” including ratings, pros/cons, author info, shop data, and images. Perfect for price comparison analysts, brand monitors, and e-commerce researchers needing structured review data.

Pricing

from $1.00 / 1,000 results

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πŸ‘ Stealth mode

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21 days ago

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Heureka.cz Reviews Scraper: Extract Product Reviews at Scale


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 β€” the Heureka Reviews Scraper automates extraction, delivering clean, structured records ready for analysis.


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.


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
}
FieldTypeDescription
urlsarrayURLs 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_urlintegerMaximum number of reviews to collect per URL. Default: 20. Set higher (e.g., 200) for comprehensive collection.
ignore_url_failuresbooleanIf 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.


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":[
"HezkΓ½ telefon",
"KvalitnΓ­ spracovani",
"KrΓ‘snΓ© 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

FieldMeaning
IDUnique Heureka identifier for the review
Legacy IDOlder internal ID, may be present for migrated reviews

Review Content

FieldMeaning
SummaryMain review text written by the customer
ProsPositive aspects highlighted by the reviewer
ConsNegative aspects or drawbacks mentioned
RatingNumeric score given by the reviewer (typically 1–5)
Recommends TypeWhether the reviewer recommends the product (e.g., yes, no, neutral)

Author & Metadata

FieldMeaning
AuthorDisplay name or anonymized identifier of the reviewer
Filled AtTimestamp of when the review was submitted
VerifiedBoolean flag indicating whether the purchase was verified
TypeReview type (e.g., product review, shop review)

Context & Relations

FieldMeaning
ShopName of the shop the purchase was made through, if applicable
ProductProduct name or reference the review is associated with
ResponseSeller or platform response to the review, if any
ImagesURLs of images attached to the review by the customer

How to Use

  1. Find the review URL β€” 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 β€” Paste URLs into the urls array. Adjust max_items_per_url for the volume needed.
  3. Run the scraper β€” Start the actor and monitor progress in the run log.
  4. Export β€” Download results as JSON, CSV, or Excel.

Common issues:

  • Ensure the URL contains #recenze/ β€” 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.

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

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 β€” without any manual effort.

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