# Tiktok Place Review Scraper (`romy/tiktok-place-review-scraper`) Actor Scrape TikTok Place pages — extract place details (name, category, address, rating) and all user reviews (star ratings, text, photos, author info) using pure HTTP — no browser required. - **URL**: https://apify.com/romy/tiktok-place-review-scraper.md - **Developed by:** [Romy](https://apify.com/romy) (community) - **Categories:** Social media, Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 review scrapeds 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 ## TikTok Place Scraper **Scrape TikTok Place pages** — extract place details (name, category, address, rating) and all user reviews (star ratings, text, photos, author info) using pure HTTP — no browser required. ### What does TikTok Place Scraper do? This Actor scrapes [TikTok Place](https://www.tiktok.com/place/) pages to extract structured data about a location and its user-submitted reviews. For each place URL you provide, it returns: - **Place details**: name, category, address, city, rating (1–5 stars), total review count, cover photos - **Individual reviews**: star rating, review text, photos, author nickname, author level, like count, date Data is returned as a flat dataset — one row per place (type: "place") followed by one row per review (type: "review") — making it easy to export to CSV, JSON, or Excel. ### Why use TikTok Place Scraper? - **No browser needed**: Pure HTTP scraping via TikTok's mobile API — fast, efficient, and cheap to run - **Complete review data**: Gets all reviews including text, star ratings, and photos — the same data shown in the TikTok mobile app - **Bulk processing**: Pass multiple place URLs to scrape many locations in one run - **Scheduled runs**: Use Apify scheduling to monitor reviews over time - **API access**: Integrate with any system via Apify's REST API or webhook integrations **Use cases**: competitive analysis, reputation monitoring, hospitality research, local business insights, sentiment analysis on food/service reviews. ### How to use TikTok Place Scraper 1. Go to the TikTok app or website and find the place you want to scrape 2. Copy the place URL (e.g. `https://www.tiktok.com/place/Warkopolim-Bintaro-42203861087297150`) 3. Paste the URL into the **Place URLs** input field 4. (Optional) Set **Max Reviews** to limit how many reviews to fetch per place 5. Click **Save & Run** 6. Download results from the **Output** tab as JSON, CSV, or Excel ### Input | Field | Type | Description | |-------|------|-------------| | `startUrls` | Array | TikTok Place URLs to scrape | | `maxReviews` | Integer | Max reviews per place (0 = all, default: 0) | | `scrapeReviews` | Boolean | Whether to scrape reviews (default: true) | **Example input:** ```json { "startUrls": [ { "url": "https://www.tiktok.com/place/Warkopolim-Bintaro-42203861087297150" }, { "url": "https://www.tiktok.com/place/Tailor-Rebel-RECYCLE-ENTHUSIASM-21568226301443545" } ], "maxReviews": 100, "scrapeReviews": true } ```` ### Output The dataset contains two record types mixed together: **Place record** (`type: "place"`): ```json { "type": "place", "poi_id": "42203861087297150", "name": "Warkopolim Bintaro", "category": "Indonesian Restaurant", "address": "Jl. Graha Raya Bintaro, Parigi Baru, Tangerang Selatan", "city": "South Tangerang", "rating": 4.8, "review_count": 24, "photos": ["https://lh3.googleusercontent.com/place-photos/..."] } ``` **Review record** (`type: "review"`): ```json { "type": "review", "poi_id": "42203861087297150", "place_name": "Warkopolim Bintaro", "review_id": "7649749774497284865", "star_rating": 5.0, "review_text": "Baru soft opening aja udah waiting list...", "review_images": ["https://p16-sign.tiktokcdn.com/..."], "review_images_count": 4, "author_user_id": "7012137590301344770", "author_unique_id": "sugarrbabbyy_", "author_nickname": "SUGARBABBYY", "author_level": "Lv.2", "like_count": 1, "created_at": "2026-06-10T13:56:35+00:00", "created_timestamp": 1781099795 } ``` You can download the dataset in various formats such as **JSON, CSV, Excel, or XML**. ### Data fields | Field | Description | |-------|-------------| | `type` | "place" or "review" | | `poi_id` | TikTok Place ID | | `name` | Place name | | `category` | Place category (e.g. "Indonesian Restaurant") | | `address` | Full address | | `city` | City | | `rating` | Average star rating (1.0–5.0) | | `review_count` | Total number of reviews | | `star_rating` | Individual review star rating (1–5) | | `review_text` | Review text written by the author | | `review_images` | List of photo URLs attached to the review | | `author_nickname` | Display name of the reviewer | | `author_level` | Reviewer level (e.g. "Lv.2") if available | | `like_count` | Number of likes on the review | | `created_at` | Review creation date (ISO 8601) | ### Pricing This Actor uses **Pay Per Usage** pricing. Approximate costs: - Fetching place details: ~$0.001 per place - Fetching reviews: ~$0.001 per 20 reviews For a place with 100 reviews, expect roughly **$0.007** total compute. ### Tips - **Get the POI ID from the URL**: The ID is the long number at the end of the TikTok Place URL (e.g. `42203861087297150`) - **Use maxReviews=50** for a quick sample before scraping all reviews - **Disable scrapeReviews** if you only need place metadata (faster, cheaper) ### FAQ & Disclaimer **Is this legal?** This Actor scrapes publicly available data from TikTok Place pages, following the same data that is visible to any user in the TikTok app. Use responsibly and respect TikTok's Terms of Service. Do not use for mass data collection or any purpose that violates applicable laws. **The URL format changed?** TikTok Place URLs follow the pattern `https://www.tiktok.com/place/-`. The scraper extracts the numeric ID from any URL matching this pattern. **Got a bug or feature request?** Please report it in the [Issues tab](../../issues). # Actor input Schema ## `startUrls` (type: `array`): TikTok Place URLs to scrape (e.g. https://www.tiktok.com/place/PlaceName-123456789) ## `maxReviews` (type: `integer`): Maximum number of reviews to scrape per place (0 = all) ## `scrapeReviews` (type: `boolean`): Whether to scrape individual reviews (star ratings, text, photos). Disable to only get place details. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.tiktok.com/place/Warkopolim-Bintaro-42203861087297150" } ], "maxReviews": 0, "scrapeReviews": true } ``` # Actor output Schema ## `dataset` (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 = { "startUrls": [ { "url": "https://www.tiktok.com/place/Warkopolim-Bintaro-42203861087297150" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("romy/tiktok-place-review-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 = { "startUrls": [{ "url": "https://www.tiktok.com/place/Warkopolim-Bintaro-42203861087297150" }] } # Run the Actor and wait for it to finish run = client.actor("romy/tiktok-place-review-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 '{ "startUrls": [ { "url": "https://www.tiktok.com/place/Warkopolim-Bintaro-42203861087297150" } ] }' | apify call romy/tiktok-place-review-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=romy/tiktok-place-review-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Tiktok Place Review Scraper", "description": "Scrape TikTok Place pages — extract place details (name, category, address, rating) and all user reviews (star ratings, text, photos, author info) using pure HTTP — no browser required.", "version": "0.0", "x-build-id": "o8PZvrR1iTWnX3oKk" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/romy~tiktok-place-review-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-romy-tiktok-place-review-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/romy~tiktok-place-review-scraper/runs": { "post": { "operationId": "runs-sync-romy-tiktok-place-review-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/romy~tiktok-place-review-scraper/run-sync": { "post": { "operationId": "run-sync-romy-tiktok-place-review-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "startUrls" ], "properties": { "startUrls": { "title": "Place URLs", "type": "array", "description": "TikTok Place URLs to scrape (e.g. https://www.tiktok.com/place/PlaceName-123456789)", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxReviews": { "title": "Max Reviews Per Place", "minimum": 0, "type": "integer", "description": "Maximum number of reviews to scrape per place (0 = all)", "default": 0 }, "scrapeReviews": { "title": "Scrape Reviews", "type": "boolean", "description": "Whether to scrape individual reviews (star ratings, text, photos). Disable to only get place details.", "default": true } } }, "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 } } } } } } } } } } ```