# TikTok Scraper v2 (`dataharvest/tiktok-scraper-v2`) 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/dataharvest/tiktok-scraper-v2.md - **Developed by:** [Alex v](https://apify.com/dataharvest) (community) - **Categories:** Social media - **Stats:** 14 total users, 5 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 - Profiles, Hashtags & Videos 🎵 Scrape TikTok profiles, hashtags, videos and comments with full engagement stats. ### Four modes #### Profiles {"mode": "profile", "usernames": ["cristiano", "khaby.lame"], "maxVideos": 20} #### Hashtags {"mode": "hashtag", "hashtags": ["fyp", "viral"], "maxVideos": 30} #### Search {"mode": "search", "searchQuery": "cooking recipes", "maxVideos": 20} #### Video details {"mode": "video", "videoUrls": ["https://www.tiktok.com/@user/video/123"], "maxComments": 50} ### What you get (profile) - Name, nickname, bio, external link - Followers, following, total likes - Verified status, avatar - List of videos with view counts ### What you get (video) - Author, description, hashtags - Music/sound used - Likes, comments, shares, saves - Optional: comments with authors ### What you get (hashtag) - Total hashtag views - List of top videos - View counts per video ### Use cases - Influencer research and vetting - Competitor content analysis - Trend monitoring by hashtag - Brand sentiment analysis - Social media intelligence # Actor input Schema ## `mode` (type: `string`): What to scrape. ## `usernames` (type: `array`): TikTok usernames without @. ## `hashtags` (type: `array`): Hashtags without #. ## `searchQuery` (type: `string`): Search term. ## `videoUrls` (type: `array`): Direct video URLs. ## `maxVideos` (type: `integer`): Maximum videos. ## `maxComments` (type: `integer`): Comments per video (0=none). ## `minViews` (type: `integer`): Minimum views. ## `minLikes` (type: `integer`): Minimum likes. ## Actor input object example ```json { "mode": "profile", "usernames": [], "hashtags": [], "searchQuery": "", "videoUrls": [], "maxVideos": 20, "maxComments": 0 } ```` # 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("dataharvest/tiktok-scraper-v2").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("dataharvest/tiktok-scraper-v2").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 dataharvest/tiktok-scraper-v2 --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dataharvest/tiktok-scraper-v2", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "TikTok Scraper v2", "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": "2.0", "x-build-id": "zSAhmsAlcAM4K9Gh2" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dataharvest~tiktok-scraper-v2/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dataharvest-tiktok-scraper-v2", "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/dataharvest~tiktok-scraper-v2/runs": { "post": { "operationId": "runs-sync-dataharvest-tiktok-scraper-v2", "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/dataharvest~tiktok-scraper-v2/run-sync": { "post": { "operationId": "run-sync-dataharvest-tiktok-scraper-v2", "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": { "mode": { "title": "Mode", "enum": [ "profile", "hashtag", "search", "video" ], "type": "string", "description": "What to scrape.", "default": "profile" }, "usernames": { "title": "Usernames", "type": "array", "description": "TikTok usernames without @.", "default": [], "items": { "type": "string" } }, "hashtags": { "title": "Hashtags", "type": "array", "description": "Hashtags without #.", "default": [], "items": { "type": "string" } }, "searchQuery": { "title": "Search query", "type": "string", "description": "Search term.", "default": "" }, "videoUrls": { "title": "Video URLs", "type": "array", "description": "Direct video URLs.", "default": [], "items": { "type": "string" } }, "maxVideos": { "title": "Max videos", "type": "integer", "description": "Maximum videos.", "default": 20 }, "maxComments": { "title": "Max comments", "type": "integer", "description": "Comments per video (0=none).", "default": 0 }, "minViews": { "title": "Min views", "type": "integer", "description": "Minimum views." }, "minLikes": { "title": "Min likes", "type": "integer", "description": "Minimum likes." } } }, "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 } } } } } } } } } } ```