# TikTok Scraper (`dizzying_teeth/tiktok-scraper`) Actor Scrape TikTok profiles, hashtags and search results. Extract followers, likes, video stats, comments and more. Supports 3 modes: profile, hashtag and search. No API key needed. - **URL**: https://apify.com/dizzying\_teeth/tiktok-scraper.md - **Developed by:** [Alex v](https://apify.com/dizzying_teeth) (community) - **Categories:** Social media - **Stats:** 3 total users, 0 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 Scraper Extract data from TikTok profiles, hashtags, and search results — no API key needed. ### Three modes #### 1. Profile mode Scrape any TikTok user's profile and their videos. **Input:** ```json { "mode": "profile", "usernames": ["cristiano", "khaby.lame"], "maxVideos": 20 } ```` **Output:** ```json { "type": "profile", "username": "cristiano", "name": "Cristiano Ronaldo", "bio": "Ballon d'Or winner...", "verified": true, "stats": { "followers": 42000000, "following": 512, "likes": 380000000 }, "videos": [ { "url": "https://www.tiktok.com/@cristiano/video/...", "description": "Training day 💪", "likes": "2.4M", "comments": "18K", "shares": "45K", "music": "Original Sound" } ] } ``` #### 2. Hashtag mode Scrape videos from a TikTok hashtag. ```json { "mode": "hashtag", "hashtags": ["travel", "food"], "maxVideos": 30 } ``` #### 3. Search mode Search TikTok and get results. ```json { "mode": "search", "searchQuery": "funny cats compilation", "maxVideos": 20 } ``` ### Use cases - **Influencer research** — find profiles, follower counts, engagement rates - **Competitor analysis** — track what content performs best in your niche - **Trend monitoring** — scrape hashtags to spot emerging trends - **Content research** — find top videos for any search term - **Brand monitoring** — track mentions and user-generated content ### Parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `mode` | string | `profile` | `profile`, `hashtag`, or `search` | | `usernames` | array | `[]` | TikTok usernames (without @) | | `hashtags` | array | `[]` | Hashtags to scrape (without #) | | `searchQuery` | string | `""` | Search term | | `maxVideos` | number | `20` | Max videos per profile/hashtag | | `includeComments` | boolean | `false` | Also scrape video comments | | `maxComments` | number | `10` | Comments per video | ### Cost & performance - 1 profile (20 videos): ~2 min, ~0.3 compute units - 5 profiles (20 videos each): ~8 min, ~1.2 compute units - 1 hashtag (30 videos): ~3 min, ~0.4 compute units # Actor input Schema ## `mode` (type: `string`): What to scrape: user profiles, hashtags, or search results. ## `usernames` (type: `array`): TikTok usernames to scrape (without @). Used when mode is 'profile'. ## `hashtags` (type: `array`): Hashtags to scrape (without #). Used when mode is 'hashtag'. ## `searchQuery` (type: `string`): Search term for TikTok. Used when mode is 'search'. ## `maxVideos` (type: `integer`): Maximum number of videos to scrape per profile/hashtag. ## `includeComments` (type: `boolean`): Also scrape comments for each video. ## `maxComments` (type: `integer`): Maximum number of comments per video (if enabled). ## Actor input object example ```json { "mode": "profile", "usernames": [ "cristiano", "khaby.lame", "charlidamelio" ], "hashtags": [ "travel", "food", "funny" ], "searchQuery": "funny cats", "maxVideos": 20, "includeComments": false, "maxComments": 10 } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("dizzying_teeth/tiktok-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 = {} # Run the Actor and wait for it to finish run = client.actor("dizzying_teeth/tiktok-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 '{}' | apify call dizzying_teeth/tiktok-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dizzying_teeth/tiktok-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "TikTok Scraper", "description": "Scrape TikTok profiles, hashtags and search results. Extract followers, likes, video stats, comments and more. Supports 3 modes: profile, hashtag and search. No API key needed.", "version": "1.0", "x-build-id": "InNAQFoc3LIGMHdEW" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dizzying_teeth~tiktok-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dizzying_teeth-tiktok-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/dizzying_teeth~tiktok-scraper/runs": { "post": { "operationId": "runs-sync-dizzying_teeth-tiktok-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/dizzying_teeth~tiktok-scraper/run-sync": { "post": { "operationId": "run-sync-dizzying_teeth-tiktok-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": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "profile", "hashtag", "search" ], "type": "string", "description": "What to scrape: user profiles, hashtags, or search results.", "default": "profile" }, "usernames": { "title": "Usernames", "type": "array", "description": "TikTok usernames to scrape (without @). Used when mode is 'profile'.", "default": [], "items": { "type": "string" } }, "hashtags": { "title": "Hashtags", "type": "array", "description": "Hashtags to scrape (without #). Used when mode is 'hashtag'.", "default": [], "items": { "type": "string" } }, "searchQuery": { "title": "Search query", "type": "string", "description": "Search term for TikTok. Used when mode is 'search'.", "default": "" }, "maxVideos": { "title": "Max videos", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of videos to scrape per profile/hashtag.", "default": 20 }, "includeComments": { "title": "Include comments", "type": "boolean", "description": "Also scrape comments for each video.", "default": false }, "maxComments": { "title": "Max comments per video", "minimum": 1, "maximum": 50, "type": "integer", "description": "Maximum number of comments per video (if enabled).", "default": 10 } } }, "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 } } } } } } } } } } ```