# Turkish e-Commerce Review Aggregator (`seralifatih/turkish-e-commerce-review-aggregator`) Actor Extract product reviews from Trendyol, Hepsiburada, and 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. - **URL**: https://apify.com/seralifatih/turkish-e-commerce-review-aggregator.md - **Developed by:** [Fatih Δ°lhan](https://apify.com/seralifatih) (community) - **Categories:** E-commerce, Automation - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 review records This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Turkish E-Commerce Review Aggregator - Trendyol, Hepsiburada, N11 Reviews Extract product reviews from the biggest Turkish marketplaces into one normalized dataset with built-in sentiment tags. Pricing: $3 per 1,000 reviews. ### Why teams use it - Monitor customer feedback across Trendyol, Hepsiburada, and N11 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](../n11-product-scraper/README.md) for product discovery and catalog context. - [Turkish Marketplace Seller Intelligence](../seller-intelligence/README.md) for correlating review quality with seller trust signals. ### Input example ```json { "productUrls": [ "https://www.trendyol.com/spigen/ciel-by-cyrill-iphone-15-pro-kilif-cecile-flower-garden-acs06760-p-758714142", "https://www.hepsiburada.com/spigen-20w-usb-c-mini-hizli-sarj-aleti-sarj-isisini-dusurur-gan-destekli-akim-korumali-guc-adaptoru-iphone-android-ipad-type-c-white-ach02071-p-HBCV000008SWTT", "https://www.n11.com/urun/logitech-mk270-kablosuz-usb-turkce-q-klavye-mouse-seti-61465" ], "searchQuery": "kablosuz klavye", "platforms": ["trendyol", "hepsiburada", "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. ```json { "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 across all supported marketplaces. - 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 products on the selected platforms 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. ### Changelog #### 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. # Actor input Schema ## `productUrls` (type: `array`): Direct product page URLs from Trendyol, Hepsiburada, or N11. ## `searchQuery` (type: `string`): Search marketplace results and scrape reviews for the top discovered products. ## `platforms` (type: `array`): Limit review aggregation to selected marketplaces. ## `maxReviewsPerProduct` (type: `integer`): Maximum number of reviews to emit per product. ## `minRating` (type: `integer`): Only include reviews with a normalized rating greater than or equal to this value. ## `sortBy` (type: `string`): Preferred ordering for emitted reviews. ## `proxyConfig` (type: `object`): Apify proxy configuration. Residential Turkish proxies are recommended for production runs. ## Actor input object example ```json { "productUrls": [ "https://www.trendyol.com/spigen/ciel-by-cyrill-iphone-15-pro-kilif-cecile-flower-garden-acs06760-p-758714142", "https://www.hepsiburada.com/spigen-20w-usb-c-mini-hizli-sarj-aleti-sarj-isisini-dusurur-gan-destekli-akim-korumali-guc-adaptoru-iphone-android-ipad-type-c-white-ach02071-p-HBCV000008SWTT", "https://www.n11.com/urun/logitech-mk270-kablosuz-usb-turkce-q-klavye-mouse-seti-61465" ], "platforms": [ "trendyol", "hepsiburada", "n11" ], "maxReviewsPerProduct": 100, "minRating": null, "sortBy": "recent", "proxyConfig": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "TR" } } ``` # Actor output Schema ## `results` (type: `string`): Unified product review records with sentiment tags for Trendyol, Hepsiburada, and N11, followed by a RUN\_SUMMARY dataset item. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "productUrls": [ "https://www.trendyol.com/spigen/ciel-by-cyrill-iphone-15-pro-kilif-cecile-flower-garden-acs06760-p-758714142", "https://www.hepsiburada.com/spigen-20w-usb-c-mini-hizli-sarj-aleti-sarj-isisini-dusurur-gan-destekli-akim-korumali-guc-adaptoru-iphone-android-ipad-type-c-white-ach02071-p-HBCV000008SWTT", "https://www.n11.com/urun/logitech-mk270-kablosuz-usb-turkce-q-klavye-mouse-seti-61465" ] }; // Run the Actor and wait for it to finish const run = await client.actor("seralifatih/turkish-e-commerce-review-aggregator").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "productUrls": [ "https://www.trendyol.com/spigen/ciel-by-cyrill-iphone-15-pro-kilif-cecile-flower-garden-acs06760-p-758714142", "https://www.hepsiburada.com/spigen-20w-usb-c-mini-hizli-sarj-aleti-sarj-isisini-dusurur-gan-destekli-akim-korumali-guc-adaptoru-iphone-android-ipad-type-c-white-ach02071-p-HBCV000008SWTT", "https://www.n11.com/urun/logitech-mk270-kablosuz-usb-turkce-q-klavye-mouse-seti-61465", ] } # Run the Actor and wait for it to finish run = client.actor("seralifatih/turkish-e-commerce-review-aggregator").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "productUrls": [ "https://www.trendyol.com/spigen/ciel-by-cyrill-iphone-15-pro-kilif-cecile-flower-garden-acs06760-p-758714142", "https://www.hepsiburada.com/spigen-20w-usb-c-mini-hizli-sarj-aleti-sarj-isisini-dusurur-gan-destekli-akim-korumali-guc-adaptoru-iphone-android-ipad-type-c-white-ach02071-p-HBCV000008SWTT", "https://www.n11.com/urun/logitech-mk270-kablosuz-usb-turkce-q-klavye-mouse-seti-61465" ] }' | apify call seralifatih/turkish-e-commerce-review-aggregator --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=seralifatih/turkish-e-commerce-review-aggregator", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Turkish e-Commerce Review Aggregator", "description": "Extract product reviews from Trendyol, Hepsiburada, and 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.", "version": "0.0", "x-build-id": "cseRZUboReAV1haFI" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/seralifatih~turkish-e-commerce-review-aggregator/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-seralifatih-turkish-e-commerce-review-aggregator", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/seralifatih~turkish-e-commerce-review-aggregator/runs": { "post": { "operationId": "runs-sync-seralifatih-turkish-e-commerce-review-aggregator", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/seralifatih~turkish-e-commerce-review-aggregator/run-sync": { "post": { "operationId": "run-sync-seralifatih-turkish-e-commerce-review-aggregator", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "productUrls": { "title": "Product URLs", "type": "array", "description": "Direct product page URLs from Trendyol, Hepsiburada, or N11.", "items": { "type": "string" } }, "searchQuery": { "title": "Search Query", "type": "string", "description": "Search marketplace results and scrape reviews for the top discovered products." }, "platforms": { "title": "Platforms", "type": "array", "description": "Limit review aggregation to selected marketplaces.", "items": { "type": "string", "enum": [ "trendyol", "hepsiburada", "n11" ] }, "default": [ "trendyol", "hepsiburada", "n11" ] }, "maxReviewsPerProduct": { "title": "Max Reviews Per Product", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of reviews to emit per product.", "default": 100 }, "minRating": { "title": "Minimum Rating", "minimum": 1, "maximum": 5, "type": "integer", "description": "Only include reviews with a normalized rating greater than or equal to this value.", "default": null }, "sortBy": { "title": "Sort Reviews By", "enum": [ "recent", "helpful", "highest", "lowest" ], "type": "string", "description": "Preferred ordering for emitted reviews.", "default": "recent" }, "proxyConfig": { "title": "Proxy Configuration", "type": "object", "description": "Apify proxy configuration. Residential Turkish proxies are recommended for production runs.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "TR" } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```