# Tiktok Product Reviews Scraper (`web_wanderer/tiktok-reviews-scraper`) Actor Easily extract TikTok Shop product reviews at scale. This scraper collects ratings, review text, product details, SKU variants, and review photos across 9 supported regions. Privacy-safe by default. Export data in JSON, CSV, Excel, or via API. - **URL**: https://apify.com/web\_wanderer/tiktok-reviews-scraper.md - **Developed by:** [Billy](https://apify.com/web_wanderer) (community) - **Categories:** E-commerce, Social media, AI - **Stats:** 7 total users, 4 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.60 / 1,000 reviews This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ### 🛍️ TikTok Shop Reviews Scraper Scrape reviews from **TikTok Shop** by providing **product URLs or IDs**, across **9 regions**, structured and ready to use. #### Why use this actor? - Extract **review text**, **star ratings**, **SKU variant**, and **review country** from any TikTok Shop product. - Scrape reviews from **9 supported regions**: US, JP, ID, MY, PH, SG, TH, VN, MX. - Filter reviews by **star rating**, **verified purchases**, or **reviews with images**. - Sort by **recommended** or **most recent**. - Privacy-safe by default. Reviewer names, avatars, and review photos are **set to null unless you opt in**. --- ### Features - Accepts **product URLs and numeric IDs** in a single input field - Scrapes: - Star ratings - Review text - SKU specification (product variant) - Verified purchase & incentivized review flags - Review photos (optional) - Reviewer name & avatar (optional) - Handles **pagination** automatically - **Auto-detects region** from product URLs - Clean, structured **JSON output** - 🔒 **GDPR-friendly**: Reviewer-related data is off by default --- **Example input:** ```json { "region": "US", "product_ids": [ "https://www.tiktok.com/shop/pdp/oregano-oil-softgels-by-micro-ingredients-6000mg-with-black-seed-oil/1729385055232561837", "1732140108393189851" ], "reviews_limit": 100, "reviews_filter": "all", "reviews_sort": "most_recent", "include_personal_information": false } ```` *** ### Output Example Each review item includes: ```json { "review_id": "7478696926742021934", "product_id": "1729385055232561837", "sku_id": "1730527465028293293", "review_rating": 3, "review_time": "1741269854269", "is_verified_purchase": true, "is_incentivized_review": false, "product_name": "Micro Ingredients Oregano Oil with Black Seed Oil, 150/300 Softgel, 4X Strength Carvacrol & Thymoquinone | Plant Based, Non-GMO", "reviewer_id": null, "reviewer_name": null, "reviewer_avatar_url": null, "review_text": "I'm really not sure what to think on this product. Not sure that it's doing anything. I know my bathroom breaks around not consistent\nFlavor: No flavor because it's a gel capsule and I pop it like a pill\nPerformance: I have no idea", "display_image_url": null, "review_images": null, "sku_specification": "150 Softgels", "review_country": "US", "product_url": "https://www.tiktok.com/shop/pdp/oregano-oil-softgels-by-micro-ingredients-6000mg-with-black-seed-oil/1729385055232561837", "review_position": 1, "scrapedAt": null } ``` When `include_personal_information` is set to `true`, those fields are populated: ```json { "reviewer_id": "6789218190377010181", "reviewer_name": "J**T", "reviewer_avatar_url": "https://p16-common-sign.tiktokcdn-us.com/...", "display_image_url": "https://p16-oec-general-useast5.ttcdn-us.com/...", "review_images": [ "https://p16-oec-general-useast5.ttcdn-us.com/...", "https://p16-oec-general-useast5.ttcdn-us.com/..." ] } ``` *** ### Sample Use Cases - **Sentiment analysis** across TikTok Shop products - **Compare reviews** between SKU variants of the same product - **Monitor review quality** for your own or competitor listings - Feed review text into **NLP or ML pipelines** *** ### Privacy & Personal Information The `include_personal_information` flag controls whether reviewer-related data appears in the output. - **`false` (default):** Reviewer names, avatars, IDs, and review photos are set to `null`. The fields are still present for consistent output structure. - **`true`:** These fields are populated with actual values. Only enable this if you have a lawful basis for processing this data. *** ### Your Responsibility You are responsible for how you use this actor, the data you collect, and your compliance with **TikTok's Terms of Service**, **GDPR**, and any other applicable laws and regulations. Before enabling `include_personal_information`, make sure your use case is appropriate for your jurisdiction and organization. *** ### Tips - `product_ids` accepts both full product URLs and numeric IDs. You can mix them freely. - Region is auto-detected from product URLs. The `region` setting is used as a fallback for numeric IDs. - Set `reviews_limit` to `0` for unlimited reviews. - Reviewer names from TikTok may already be masked (e.g. "J\*\*T"), but they're still nullified by default. - Review image URLs and avatar URLs may expire over time. *** ### Need Help? Questions? Bugs? Something not working? Open an issue or reach out through Apify Support. # Actor input Schema ## `region` (type: `string`): Select the TikTok Shop region. If a provided product URL points to a different supported region, that region is used automatically. ## `product_ids` (type: `array`): TikTok Shop product URLs or numeric product IDs. You can mix both formats freely. ## `reviews_limit` (type: `integer`): Maximum number of reviews to collect per product. Set to 0 for unlimited. ## `reviews_filter` (type: `string`): Filter reviews by criteria. ## `reviews_sort` (type: `string`): Select how to sort reviews. ## `include_personal_information` (type: `boolean`): When enabled, the dataset may include reviewer-related identifiers and review media URLs such as reviewer\_id, reviewer\_name, reviewer\_avatar\_url, review\_images, and display\_image\_url. Leave disabled unless you have a lawful basis for processing this data and your use complies with TikTok policies, GDPR, and other applicable privacy laws. ## Actor input object example ```json { "region": "US", "product_ids": [ "https://www.tiktok.com/shop/pdp/lymphatic-support-drops-by-maryruths-usda-organic-echinacea-elderberry/1729392364140663758" ], "reviews_limit": 100, "reviews_filter": "all", "reviews_sort": "recommended", "include_personal_information": false } ``` # Actor output Schema ## `reviews` (type: `string`): Dataset containing scraped product reviews. Core fields include review\_id, product\_id, sku\_id, review\_rating, review\_time, is\_verified\_purchase, is\_incentivized\_review, product\_name, review\_text, sku\_specification, review\_country, product\_url, review\_position, and scrapedAt. If include\_personal\_information is enabled, reviewer\_id, reviewer\_name, reviewer\_avatar\_url, review\_images, and display\_image\_url may also be returned. # 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 = { "product_ids": [ "https://www.tiktok.com/shop/pdp/lymphatic-support-drops-by-maryruths-usda-organic-echinacea-elderberry/1729392364140663758" ] }; // Run the Actor and wait for it to finish const run = await client.actor("web_wanderer/tiktok-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 = { "product_ids": ["https://www.tiktok.com/shop/pdp/lymphatic-support-drops-by-maryruths-usda-organic-echinacea-elderberry/1729392364140663758"] } # Run the Actor and wait for it to finish run = client.actor("web_wanderer/tiktok-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 '{ "product_ids": [ "https://www.tiktok.com/shop/pdp/lymphatic-support-drops-by-maryruths-usda-organic-echinacea-elderberry/1729392364140663758" ] }' | apify call web_wanderer/tiktok-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=web_wanderer/tiktok-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Tiktok Product Reviews Scraper", "description": "Easily extract TikTok Shop product reviews at scale. This scraper collects ratings, review text, product details, SKU variants, and review photos across 9 supported regions. Privacy-safe by default. Export data in JSON, CSV, Excel, or via API.", "version": "0.1", "x-build-id": "2sPHJN86LmGlLEru2" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/web_wanderer~tiktok-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-web_wanderer-tiktok-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/web_wanderer~tiktok-reviews-scraper/runs": { "post": { "operationId": "runs-sync-web_wanderer-tiktok-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/web_wanderer~tiktok-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-web_wanderer-tiktok-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "region": { "title": "Region", "enum": [ "US", "JP", "ID", "MY", "PH", "SG", "TH", "VN", "MX" ], "type": "string", "description": "Select the TikTok Shop region. If a provided product URL points to a different supported region, that region is used automatically.", "default": "US" }, "product_ids": { "title": "Products", "uniqueItems": true, "type": "array", "description": "TikTok Shop product URLs or numeric product IDs. You can mix both formats freely.", "items": { "type": "string" } }, "reviews_limit": { "title": "Reviews per Product", "minimum": 0, "type": "integer", "description": "Maximum number of reviews to collect per product. Set to 0 for unlimited.", "default": 100 }, "reviews_filter": { "title": "Filter Reviews", "enum": [ "all", "5_star", "4_star", "3_star", "2_star", "1_star", "with_images", "verified" ], "type": "string", "description": "Filter reviews by criteria.", "default": "all" }, "reviews_sort": { "title": "Sort Reviews By", "enum": [ "recommended", "most_recent" ], "type": "string", "description": "Select how to sort reviews.", "default": "recommended" }, "include_personal_information": { "title": "Include Personal Information", "type": "boolean", "description": "When enabled, the dataset may include reviewer-related identifiers and review media URLs such as reviewer_id, reviewer_name, reviewer_avatar_url, review_images, and display_image_url. Leave disabled unless you have a lawful basis for processing this data and your use complies with TikTok policies, GDPR, and other applicable privacy laws.", "default": false } } }, "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 } } } } } } } } } } ```