# Tiktok User Profile Scraper (No Cookie) (`datadoping/tiktok-user-profile-scraper`) Actor Extract bulk TikTok profile data using a fast, reliable API scraper. Access accurate user information including bio, followers, following, and stats in real time. No pre-built databases, no login required. Built for speed, scalability, and clean structured output. - **URL**: https://apify.com/datadoping/tiktok-user-profile-scraper.md - **Developed by:** [Data Doping](https://apify.com/datadoping) (community) - **Categories:** Social media, Developer tools, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.20 / 1,000 profiles 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 ## TikTok Profile Scraper Extract public TikTok profile data at scale using usernames (unique IDs). This Apify actor is built for teams that need reliable TikTok profile metadata for lead generation, competitor research, influencer discovery, and social media analytics. ### Why Use This TikTok Profile Scraper - Scrape **public TikTok profile information** without manual copy-paste. - Input one or many usernames in a single run. - Export structured JSON for automation pipelines. - Includes core growth metrics such as followers, following, likes, and video count. - Works well for SEO research, creator monitoring, and market intelligence workflows. ### Input The actor expects one required field: - `uniqueId` (array of strings): List of TikTok usernames / unique IDs (one per line in Apify UI). #### Input Example ```json { "uniqueId": [ "tiktok", "nike", "therock" ] } ```` #### Backward Compatibility The actor also accepts `usernames` in code for compatibility with older runs, but `uniqueId` is the official and recommended input key. ### Output Each dataset item contains merged TikTok profile + stats fields for one username. Common fields include: - `uniqueId` - TikTok username - `nickname` - display name - `signature` - bio text - `verified` - verification status - `privateAccount` - whether profile is private - `avatarLarger` - profile image URL - `videoCount` - total published videos - `followerCount` - followers - `followingCount` - following - `heartCount` - total likes #### Output Example ```json { "uniqueId": "nike", "nickname": "Nike", "signature": "Have a Nike Day", "verified": true, "privateAccount": false, "avatarLarger": "https://p16-sign-va.tiktokcdn.com/...", "videoCount": 780, "followerCount": 5020466, "followingCount": 180, "heartCount": 18443294 } ``` If a profile request fails, the actor stores an error item in the dataset: ```json { "error": "❌ Error for " } ``` ### How To Use 1. Open the actor on Apify. 2. Add one or more TikTok usernames into `uniqueId`. 3. Start the run. 4. Download results from the dataset in JSON, CSV, Excel, or via API. ### Typical Use Cases - TikTok influencer research - TikTok account audit and benchmarking - Competitor profile tracking - Social media reporting dashboards - Creator database enrichment ### Performance Notes - The actor processes 500 profiles per minute for faster throughput. - It retries temporary provider-side 5xx errors automatically. - Existing dataset items are respected, so resumed runs continue from the next index. ### Responsible Data Use Use this actor only for lawful and ethical processing of publicly available data.\ Respect platform policies and applicable privacy/data-protection regulations in your jurisdiction. # Actor input Schema ## `uniqueId` (type: `array`): List of TikTok usernames/uniqueId to scrape. Enter one username/uniqueId per line. ## Actor input object example ```json { "uniqueId": [ "tiktok" ] } ``` # 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 = { "uniqueId": [ "tiktok" ] }; // Run the Actor and wait for it to finish const run = await client.actor("datadoping/tiktok-user-profile-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 = { "uniqueId": ["tiktok"] } # Run the Actor and wait for it to finish run = client.actor("datadoping/tiktok-user-profile-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 '{ "uniqueId": [ "tiktok" ] }' | apify call datadoping/tiktok-user-profile-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=datadoping/tiktok-user-profile-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Tiktok User Profile Scraper (No Cookie)", "description": "Extract bulk TikTok profile data using a fast, reliable API scraper. Access accurate user information including bio, followers, following, and stats in real time. No pre-built databases, no login required. Built for speed, scalability, and clean structured output.", "version": "0.0", "x-build-id": "dolykU1vO97IubwWf" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/datadoping~tiktok-user-profile-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-datadoping-tiktok-user-profile-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/datadoping~tiktok-user-profile-scraper/runs": { "post": { "operationId": "runs-sync-datadoping-tiktok-user-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/datadoping~tiktok-user-profile-scraper/run-sync": { "post": { "operationId": "run-sync-datadoping-tiktok-user-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "uniqueId" ], "properties": { "uniqueId": { "title": "TikTok Usernames or Unique ID", "type": "array", "description": "List of TikTok usernames/uniqueId to scrape. Enter one username/uniqueId per line.", "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```