VOOZH about

URL: https://apify.com/seralifatih/turkish-e-commerce-review-aggregator

⇱ Turkish e-Commerce Review Aggregator Β· Apify


πŸ‘ Turkish e-Commerce Review Aggregator avatar

Turkish e-Commerce Review Aggregator

Pricing

from $3.00 / 1,000 review records

Go to Apify Store

Turkish e-Commerce Review Aggregator

Extract product reviews from N11 into one unified dataset with built-in Turkish sentiment tagging. Collect reviewer details, ratings, review text, images, helpful counts, and product context for feedback analysis and competitive intelligence.

Pricing

from $3.00 / 1,000 review records

Rating

0.0

(0)

Developer

πŸ‘ Fatih Δ°lhan

Fatih Δ°lhan

Maintained by Community

Actor stats

0

Bookmarked

9

Total users

2

Monthly active users

17 days ago

Last modified

Share

N11 Review Scraper - Turkish Marketplace Reviews

Extract product reviews from N11, Turkey's third-largest marketplace, into a normalized dataset with built-in Turkish sentiment tags.

Pricing: $3 per 1,000 reviews.

Why teams use it

  • Monitor customer feedback on N11 products in one pipeline.
  • Run basic Turkish sentiment analysis without building a custom tagging layer first.
  • Track competitor complaints, product quality issues, and praise trends over time.
  • Stream review-level records directly into dashboards, BI tools, or AI workflows.

Works great with...

  • ../n11-product-scraper/README.md for product discovery and catalog context.
  • ../seller-intelligence/README.md for correlating review quality with seller trust signals.

Input example

{
"productUrls":[
"https://www.n11.com/urun/logitech-mk270-kablosuz-usb-turkce-q-klavye-mouse-seti-61465"
],
"searchQuery":"kablosuz klavye",
"platforms":["n11"],
"maxReviewsPerProduct":100,
"minRating":null,
"sortBy":"recent",
"proxyConfig":{
"useApifyProxy":true,
"apifyProxyGroups":["RESIDENTIAL"],
"apifyProxyCountry":"TR"
}
}

At least one of productUrls or searchQuery must be provided.

Output Schema

Each review is emitted as its own dataset item. At the end of the run, the actor also emits a RUN_SUMMARY record.

{
"scrapedAt":"2026-04-04T11:02:15.512Z",
"platform":"n11",
"sourceUrl":"https://www.n11.com/urun/logitech-mk270-kablosuz-usb-turkce-q-klavye-mouse-seti-61465",
"dataVersion":"product-review/v1",
"productId":"61465",
"productTitle":"Logitech MK270 Kablosuz USB Turkce Q Klavye Mouse Seti",
"productUrl":"https://www.n11.com/urun/logitech-mk270-kablosuz-usb-turkce-q-klavye-mouse-seti-61465",
"reviewId":"n11-61465-1",
"reviewerName":"A*** K***",
"rating":5,
"title":"Bekledigimden iyi",
"body":"Kaliteli paketleme ve hizli teslimat. Tavsiye ederim.",
"reviewDate":"2026-03-29T12:00:00.000Z",
"isVerifiedPurchase":true,
"helpfulCount":3,
"reviewImages":[],
"sentimentTag":"positive",
"sellerName":"GTI-Bilisim",
"variantInfo":null
}

Notes

  • Ratings are normalized to a 1-5 scale.
  • Review records are pushed as they are collected, so you get streaming output instead of one large batch at the end.
  • Progress logs include sentiment totals such as Reviews collected: 230 (78 positive, 45 negative, 107 neutral).
  • The dataset ends with a RUN_SUMMARY record that captures totals, duration, success rate, and platform breakdown.

FAQ

Is each dataset item a product or a review?

Each dataset item is a single review. productUrl and productTitle are included on every row for context.

Can I search for products instead of passing URLs?

Yes. Use searchQuery and the actor will discover top N11 products before scraping reviews.

How is sentiment assigned?

The actor uses Turkish positive and negative keyword matching first, then falls back to rating-based tagging when the text is ambiguous.

What happens if one product page or review endpoint fails?

The actor retries when appropriate, logs the failure, and continues processing the rest of the run.

Turkish Data Intelligence Portfolio

This actor is part of a suite of specialized Turkish market data tools:

E-Commerce Intelligence:

  • N11 Product Scraper - Turkey's third-largest marketplace
  • Turkish Marketplace Seller Intelligence - Trendyol, Hepsiburada, N11 seller profiles
  • N11 Review Scraper - N11 product reviews with sentiment analysis

Automotive Intelligence:

  • Arabam.com Vehicle Scraper - Used car listings with paint condition data
  • Turkish Auto Price Tracker - Cross-platform vehicle valuation
  • Turkish Auto Dealer Intelligence - Galeri profiles and inventory analytics

Real Estate Intelligence:

  • Emlakjet Property Scraper - Zero-competition property data
  • Turkish Property Valuation Engine - Cross-platform pricing with rental yield analysis
  • Turkish Real Estate Agency Scraper - Emlak ofisi profiles and portfolios

All actors share consistent output schemas, Turkish language support, and transparent pay-per-event pricing.

Changelog

v1.1.0

  • Scoped down to N11-only. Removed Trendyol and Hepsiburada paths to maintain a high success rate.

v1.0.0

  • Added stronger input validation for product URLs, platform selection, and review limits.
  • Added streaming progress reporting, partial completion handling, and final RUN_SUMMARY records.
  • Added publication-ready README, actor metadata, and smoke-test checklist script.

You might also like

N11 Product Scraper

seralifatih/n11-product-scraper

Scrape N11 search results, category pages, and direct product URLs into structured Turkish e-commerce product data. Extract titles, prices, ratings, seller info, breadcrumbs, specifications, images, and stock status from one of Turkey’s largest marketplaces.

πŸ‘ User avatar

Fatih Δ°lhan

9

Etsy Reviews Scraper

scrapapi/etsy-reviews-scraper

Etsy Reviews Scraper extracts product review data from Etsy listings. Collect review text, ratings, reviewer names, dates, and product details. Ideal for product research, sentiment analysis, competitor monitoring, and building e-commerce review datasets.

Turkish Marketplace Seller Intelligence

seralifatih/turkish-marketplace-seller-intelligence

Scrape normalized seller and store profiles across Trendyol, Hepsiburada, and N11. Extract seller names, ratings, badges, product counts, and public business details for supplier discovery, competitive analysis, and marketplace monitoring in Turkey.

πŸ‘ User avatar

Fatih Δ°lhan

12

Product Review Aggregator

dash_authority/product-review-aggregator

Scrape and aggregate product reviews from Amazon, Walmart, and Target into a unified format for brand monitoring and competitive analysis.

πŸ‘ User avatar

Dash Authority

1

n11 Product Scraper

caulleonard/n11-product-scraper

Scrape N11 prices for competitor price monitoring Extract product ratings and reviews count from N11 Export N11 catalog data to CSV or Excel

πŸ‘ User avatar

Fatih Şahinbaş

2

Walmart Reviews Scraper

scrapelabsapi/walmart-reviews-scraper

Extract product reviews from Walmart quickly and accurately. Collect review text, ratings, reviewer names, dates, and helpful votes. Ideal for sentiment analysis, product research, and competitor insights with clean, structured data output.

Houzz Product Reviews Scraper - Cheap ⭐🏠

scrapestorm/houzz-product-reviews-scraper---cheap

πŸ” Easily Collect Product Reviews β­πŸ›οΈ Extract reviews from Houzz products, including review ID, product name, reviewer name, verified buyer status, rating, review title, full review text, date & more Perfect for sentiment analysis, customer feedback research, reputation & eCommerce intelligenceπŸ”₯

2

Etsy Reviews Scraper

api-empire/etsy-reviews-scraper

Analyze Etsy product feedback with the Etsy Reviews Scraper. Extract review text, ratings, reviewer details, and review dates automatically. Great for sentiment analysis, product research, and competitor monitoring.

Google Maps Reviews Scraper

api-empire/google-maps-reviews-scraper

Collect structured Google Maps review data fast. The actor gathers review text, star ratings, timestamps, reviewer profiles, and helpful vote counts. Perfect for analysts, agencies, and businesses monitoring customer feedback.

Turkish Auto Dealer Intelligence

seralifatih/turkish-auto-dealer-intelligence

Scrape Turkish used-car dealer profiles from Arabam.com and Sahibinden.com, including identity, contact details, trust signals, and optional inventory-level pricing analysis.

πŸ‘ User avatar

Fatih Δ°lhan

2