Hepsiburada Product Reviews — Ratings, Text & Feature Scores
Send a Hepsiburada SKU, product group ID or URL and this source returns the product's customer reviews: rating, text, author, date, verified-purchase flag, helpful count, per-feature ratings, keywords and photos. Reviews are aggregated across the product's variants.
{
"session_id": "11111111-1111-1111-1111-111111111111",
"kind": "hepsiburada_product_reviews",
"product": "HBCV00004X9ZCK",
"max_items": 2,
"start_page": 1,
"sort": "MOSTHELPFUL",
"partial": false,
"human": "# Hepsiburada product reviews\n\n- **Product:** HBCV00004X9ZCK\n- **Sort:** MOSTHELPFUL\n- **Starting page:** 1\n- **Max items:** 2\n- **Records returned:** 2\n- **Proxy traffic:** 1.83 MB",
"machine": {
"total_items": 2,
"total_reviews_on_hepsiburada": 13022,
"has_more": true,
"items": [
{
"@type": "HepsiburadaProductReview",
"id": "4954a016-9f97-4807-a6de-4f96c4594db5",
"rating": 5,
"text": "Ne Sevgilim nede ailem aldı çalışıp kendi paramla sipariş verdim ( 1 yılın ardından merhaba ürün den çok memnunum FP ürün diyebiliriz özellikle siyah rengi Premium his veriyor)",
"author": "Abdullah Emin E***",
"created_at": "2023-09-25T15:12:02.997Z",
"is_purchase_verified": true,
"helpful_count": 1123,
"seller_name": "Hepsiburada",
"keywords": [
"çok memnunum",
"çok beğendim"
],
"feature_ratings": [
{
"@type": "HepsiburadaReviewFeature",
"name": "Batarya",
"rating": 5
},
{
"@type": "HepsiburadaReviewFeature",
"name": "Ekran",
"rating": 5
}
],
"images": []
},
{
"@type": "HepsiburadaProductReview",
"id": "adeaf7cb-4172-4dff-a32f-feee2489df9e",
"rating": 5,
"text": "iPhone düşünenler eğer “Pro” modeli almayacak ise kesinlikle alınacak en doğru cihaz budur. \n\nPro düşünüyorsanız bile tercih edilmek için birçok noktası var. 13 üzeri tüm iPhone modellerini en ince de",
"author": "Asım K****",
"created_at": "2024-01-09T20:09:36.490Z",
"is_purchase_verified": true,
"helpful_count": 151,
"seller_name": "Hepsiburada",
"keywords": [],
"feature_ratings": [
{
"@type": "HepsiburadaReviewFeature",
"name": "Batarya",
"rating": 5
},
{
"@type": "HepsiburadaReviewFeature",
"name": "Ekran",
"rating": 5
}
],
"images": [
"https://images.hepsiburada.net/usercontents/usercontentimages_0/1fe28beb-d4c4-4ef8-97f3-27769184d015.jpg:webp"
]
}
],
"response_bytes": 1922917
},
"total_points": 2
}- You send
- A Hepsiburada SKU, product group ID or URL, with optional sort
- You get back
- Reviews with rating, text, author, date, verified purchase, helpful count, feature ratings, keywords and photos
- Coverage
- Customer reviews shown on public Hepsiburada product pages.
- Price
- 1 point per returned review, up to 490 per request — $1 per 1,000
- Billed per review actually returned, capped by max_items. A product with no reviews costs nothing.
Ways to get this data
Three approaches teams use today, and where each one runs into trouble.
| Approach | What it takes | Cost | Trade-off |
|---|---|---|---|
| Checking the site by hand | Open the product and read the reviews tab | Free, and slow | Fine for a skim, useless for analysis |
| Building a scraper | Write it, host it, and repair it when Hepsiburada changes the review widget | Engineering time | A maintenance commitment for something that isn't your product |
| NeuralVerge | One request per product, sort as a parameter | $1 per 1,000, misses not billed | Review text is Turkish — translate or analyze it with a Turkish-capable model |
What you get back
Every field in the response shown above.
| Field | Type | Description |
|---|---|---|
total_items | number | How many reviews were returned in this batch (capped by max_items). |
total_reviews_on_hepsiburada | number | Total reviews the product has on Hepsiburada. |
has_more | boolean | Whether more reviews remain beyond this batch. |
id | string | Review ID (a UUID). |
rating | number | Star rating given in the review. |
text | string | Review text, in Turkish as written. |
author | string | Reviewer name, partially masked. |
created_at | string | ISO timestamp of the review. |
is_purchase_verified | boolean | Whether the review is marked as a verified purchase. |
helpful_count | number | Number of helpful votes. |
seller_name | string | Seller the reviewer bought from. |
keywords | array | Keyword tags attached to the review; can be empty. |
feature_ratings | array | Per-feature ratings (name and rating), e.g. battery or screen. |
images | array | Photo URLs attached to the review; empty when there are none. |
How to run it
The same lookup works from the app, the API, or as a tool an agent can call mid-task.
product is the only required field. max_items caps the review count (up to 490, defaults to 20) and sets what you are billed for; start_page lets you continue where a previous pull stopped.
curl -X POST https://api.neuralverge.ai/functions/v1/run-hepsiburada-products-reviews \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{ "product": "HBCV00004X9ZCK", "max_items": 20, "sort": "MOSTRECENT" }'What teams use it for
Where this field shows up in an actual workflow.
Pull recent reviews and score them for the themes customers raise.
Use the per-feature ratings to see which aspects of a product people rate highest and lowest.
Sort by most recent to catch a change in how a product is received.
Compare how rival products are reviewed on the same marketplace.
Coverage, freshness and limits
What this source covers, how fresh it is, and where it stops.
Customer reviews shown on public Hepsiburada product pages.
Read at request time.
This source returns publicly visible information, stamped with the input it was read from and a session id you can trace.
- —Reviewer names are masked as the site shows them.
- —Review text is Turkish; this source does not translate it.
- —The set pulled is capped by max_items, so a product with thousands of reviews needs paging with start_page.
Questions, answered
Yes. The reviews are aggregated across the product's variants, so a colour change does not split the set.
Related sources
Full details for one listing.
Every seller offering one product, with the buybox winner.
Find listings by keyword first.
Amazon, eBay, Walmart, AliExpress, Alibaba, Hepsiburada, Trendyol and Yandex Market product, seller and review data.
Try hepsiburada product reviews on your own data
One request format across every source in the catalog.