# AliExpress Reviews Scraper — No Login Required (`crowdpull/aliexpress-reviews-scraper`) Actor Extract reviews from any AliExpress product. No login or cookies needed. Supports star ratings, review text, buyer country, images, and Smart Scrape dedup. - **URL**: https://apify.com/crowdpull/aliexpress-reviews-scraper.md - **Developed by:** [Crowd Pull](https://apify.com/crowdpull) (community) - **Categories:** E-commerce, Marketing, Lead generation - **Stats:** 86 total users, 27 monthly users, 98.5% runs succeeded, 1 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $1.50 / 1,000 reviews This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ## AliExpress Reviews Scraper Extract reviews from any AliExpress product — star ratings, review text, buyer country, images, vote counts, and full star distribution. No login or browser required. ### Features - **No login required** — uses publicly available product review data - **No browser overhead** — pure HTTP, fast and cheap - **15+ fields per review** — text, country, rating, date, variant, images, votes, language - **Product statistics** — average rating, star distribution, sentiment breakdown - **Star filtering** — extract only 5-star, 1-star, or any specific rating - **Image-only mode** — filter for reviews that include photos - **Smart Scrape dedup** — skip products with no new reviews since last run - **Pagination** — automatically fetches all reviews (up to 100/page) ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `productIds` | string[] | *required* | Product URLs or numeric IDs | | `maxReviewsPerProduct` | integer | -1 (all) | Max reviews per product | | `starFilter` | enum | all_star | Filter by star rating (all, 5, 4, 3, 2, 1) | | `sortBy` | enum | default | Sort order (default, latest) | | `includeImages` | boolean | false | Only extract reviews with images | | `includeProductStats` | boolean | true | Include product-level statistics row | | `smartScrape` | boolean | false | Skip unchanged products on recurring runs | | `proxyConfiguration` | object | none | Optional proxy settings | #### Supported product ID formats ```` 2251801850504415 https://www.aliexpress.com/item/2251801850504415.html https://www.aliexpress.com/item/2251801850504415.html?spm=... https://m.aliexpress.com/item/2251801850504415.html https://www.aliexpress.com/i/2251801850504415.html ```` ### Output #### Review fields | Field | Type | Description | |-------|------|-------------| | `productId` | string | AliExpress product ID | | `reviewId` | string | Unique review identifier | | `buyerFeedback` | string | Review text | | `buyerCountry` | string | Buyer's country code (US, GB, FR, etc.) | | `buyerEval` | integer | Rating score (0-100) | | `starRating` | integer | Mapped star rating (1-5) | | `evalDate` | string | Review date | | `skuInfo` | string | Product variant purchased | | `images` | string[] | Full-size review image URLs | | `thumbnails` | string[] | Thumbnail image URLs | | `upVoteCount` | integer | Helpful votes | | `downVoteCount` | integer | Unhelpful votes | | `logistics` | string | Shipping/logistics info | | `anonymous` | boolean | Whether reviewer is anonymous | | `reviewType` | string | Review type identifier | | `sourceLang` | string | Original language of review | | `samePurchaseSuggestion` | boolean | Whether buyer would purchase again | | `productUrl` | string | Direct link to product page | #### Product statistics fields (when `includeProductStats` is enabled) | Field | Type | Description | |-------|------|-------------| | `averageStar` | number | Average star rating | | `totalReviews` | integer | Total number of reviews | | `positiveRate` | number | Percentage of positive reviews | | `fiveStarNum/Rate` | number | 5-star count and percentage | | `fourStarNum/Rate` | number | 4-star count and percentage | | `threeStarNum/Rate` | number | 3-star count and percentage | | `twoStarNum/Rate` | number | 2-star count and percentage | | `oneStarNum/Rate` | number | 1-star count and percentage | | `negativeRate` | number | Percentage of negative reviews | | `neutralRate` | number | Percentage of neutral reviews | ### Example output ```json { "productId": "2251801850504415", "reviewId": "30097302984326130", "buyerFeedback": "Works perfect. It even has tape in the back.", "buyerCountry": "RO", "buyerEval": 100, "starRating": 5, "evalDate": "06 Sep 2025", "skuInfo": "Emitting Color:WS2812BECO White PCB Color:5m 60 IP30", "images": ["https://ae01.alicdn.com/...jpg"], "thumbnails": ["https://ae01.alicdn.com/...jpg"], "upVoteCount": 0, "downVoteCount": 0, "logistics": "", "anonymous": false, "reviewType": "", "sourceLang": "en", "samePurchaseSuggestion": true, "productUrl": "https://www.aliexpress.com/item/2251801850504415.html", "scrapedAt": "2026-03-01T12:00:00.000Z" } ```` ### Smart Scrape — Save on recurring runs Enable **Smart Scrape** to avoid re-scraping products that haven't received new reviews. On subsequent runs, the scraper checks the current review count against the cached count and skips unchanged products. | Scenario | Cost | |----------|------| | First run (1,000 reviews) | 1 start + 1,000 review events | | Second run (no new reviews) | 1 start + 1 cache-check | | Second run (50 new reviews) | 1 start + 1,000 review events | Smart Scrape uses a Named KV Store per product that persists across runs. ### Cost estimate The scraper charges per review extracted: - **Actor start**: 1 event per run - **Review extracted**: 1 event per review - **Cache check**: 1 event per skipped product (Smart Scrape) For a product with 1,000 reviews: ~10 API requests (100 reviews/page), completes in under 15 seconds. ### Use cases - **Product research** — analyze review sentiment before sourcing - **Competitor monitoring** — track review trends on competing products - **Quality assurance** — monitor customer feedback on your products - **Market analysis** — aggregate review data across product categories - **Dropshipping due diligence** — verify product quality through buyer feedback ### Limitations - Only extracts reviews (not product details, pricing, or shipping info) - Product IDs must be provided — the scraper does not search for products - Some delisted products may return empty results - Review text may be machine-translated by AliExpress (original language indicated in `sourceLang`) # Actor input Schema ## `productIds` (type: `array`): AliExpress product URLs or numeric product IDs. Supports full URLs (e.g. https://www.aliexpress.com/item/1005006976494502.html) or just the ID (e.g. 1005006976494502). ## `maxReviewsPerProduct` (type: `integer`): Maximum number of reviews to extract per product. Set to -1 for all reviews. ## `starFilter` (type: `string`): Filter reviews by star rating. Use 'all\_star' for all reviews, or filter by specific rating. ## `sortBy` (type: `string`): How to sort reviews. ## `includeImages` (type: `boolean`): When enabled, only extract reviews that contain images. ## `includeProductStats` (type: `boolean`): Include a summary row with product-level statistics: average star rating, star distribution, and sentiment breakdown. ## `smartScrape` (type: `boolean`): When enabled, products scraped in previous runs are skipped unless the review count has increased. Only new reviews are scraped. Skipped products incur a reduced 'cache-check' fee instead of full per-review charges. ## `proxyConfiguration` (type: `object`): Proxy settings. The scraper works without proxies, but residential proxies are recommended for high-volume scraping. ## Actor input object example ```json { "productIds": [ "https://www.aliexpress.com/item/2251801850504415.html", "1005006976494502" ], "maxReviewsPerProduct": 100, "starFilter": "all_star", "sortBy": "default", "includeImages": false, "includeProductStats": true, "smartScrape": false } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "productIds": [ "https://www.aliexpress.com/item/2251801850504415.html", "1005006976494502" ], "maxReviewsPerProduct": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("crowdpull/aliexpress-reviews-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 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); }); // 📚 Want to learn more 📖? Go to → 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 = { "productIds": [ "https://www.aliexpress.com/item/2251801850504415.html", "1005006976494502", ], "maxReviewsPerProduct": 100, } # Run the Actor and wait for it to finish run = client.actor("crowdpull/aliexpress-reviews-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "productIds": [ "https://www.aliexpress.com/item/2251801850504415.html", "1005006976494502" ], "maxReviewsPerProduct": 100 }' | apify call crowdpull/aliexpress-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crowdpull/aliexpress-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "AliExpress Reviews Scraper — No Login Required", "description": "Extract reviews from any AliExpress product. No login or cookies needed. Supports star ratings, review text, buyer country, images, and Smart Scrape dedup.", "version": "1.0", "x-build-id": "aBQWUY4r4bmoiQf4K" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crowdpull~aliexpress-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crowdpull-aliexpress-reviews-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crowdpull~aliexpress-reviews-scraper/runs": { "post": { "operationId": "runs-sync-crowdpull-aliexpress-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crowdpull~aliexpress-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-crowdpull-aliexpress-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "productIds" ], "properties": { "productIds": { "title": "🔗 Product URLs or IDs", "type": "array", "description": "AliExpress product URLs or numeric product IDs. Supports full URLs (e.g. https://www.aliexpress.com/item/1005006976494502.html) or just the ID (e.g. 1005006976494502).", "items": { "type": "string" } }, "maxReviewsPerProduct": { "title": "📝 Max Reviews per Product", "minimum": -1, "type": "integer", "description": "Maximum number of reviews to extract per product. Set to -1 for all reviews.", "default": -1 }, "starFilter": { "title": "⭐ Star Filter", "enum": [ "all_star", "5", "4", "3", "2", "1" ], "type": "string", "description": "Filter reviews by star rating. Use 'all_star' for all reviews, or filter by specific rating.", "default": "all_star" }, "sortBy": { "title": "📊 Sort Order", "enum": [ "default", "latest" ], "type": "string", "description": "How to sort reviews.", "default": "default" }, "includeImages": { "title": "📸 Include Image Reviews Only", "type": "boolean", "description": "When enabled, only extract reviews that contain images.", "default": false }, "includeProductStats": { "title": "📈 Include Product Statistics", "type": "boolean", "description": "Include a summary row with product-level statistics: average star rating, star distribution, and sentiment breakdown.", "default": true }, "smartScrape": { "title": "Enable Smart Scrape (Dedup)", "type": "boolean", "description": "When enabled, products scraped in previous runs are skipped unless the review count has increased. Only new reviews are scraped. Skipped products incur a reduced 'cache-check' fee instead of full per-review charges.", "default": false }, "proxyConfiguration": { "title": "🌐 Proxy Configuration", "type": "object", "description": "Proxy settings. The scraper works without proxies, but residential proxies are recommended for high-volume scraping." } } }, "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 } } } } } } } } } } ```