Tiktok Data

About this API

The TikTok Data API is a powerful and versatile tool designed to provide developers, marketers, and data analysts with structured access to public data from the TikTok platform. This API serves as a gateway to a vast repository of information, including user profiles, video feeds, post metrics, comments, and trend data. Whether you are building a social media analytics dashboard, an influencer discovery platform, or a trend-spotting application, this API provides the essential, real-time data you need. It abstracts away the complexities of scraping and data normalization, delivering clean JSON-formatted information and allowing you to focus on building data-driven features and insightful applications.

Key Features

• Comprehensive User Insights: Access detailed public profile information for any TikTok user, including their bio, follower and following counts, total likes, and video count. Retrieve a user's complete video feed and lists of their followers or the accounts they follow.
• In-Depth Post Data: Fetch granular details for any specific video post. This includes core metadata like the video description and music used, as well as key performance indicators such as like count, comment count, share count, and view count.
• Interaction & Community Analysis: Go beyond simple metrics by retrieving the actual comments on any given video post. This allows for sentiment analysis, community engagement tracking, and identifying key user feedback.
• Hashtag & Trend Tracking: Obtain detailed information and video feeds associated with any hashtag, enabling robust campaign tracking and niche market analysis. Access the latest trending content on TikTok to stay ahead of viral phenomena.
• Music & Sound Analytics: Look up data on specific music tracks or sounds used on the platform. Retrieve a feed of all videos that use a particular sound, a key feature for understanding how trends are amplified through audio.
• Powerful Search & Discovery: Perform platform-wide searches for users or posts based on keywords. This is ideal for identifying influencers, monitoring brand mentions, or discovering content within a specific vertical.

Use Cases

Scenario 1: Build a Competitor Analysis & Performance Dashboard

• Situation: A digital marketing agency needs to track the TikTok performance of its clients and benchmark them against key competitors.
• Implementation: The agency develops an internal dashboard. The backend regularly calls the /user/info endpoint for their clients and a list of competitor usernames to fetch daily follower counts and total likes. It also calls the /user/feed endpoint to gather metrics (likes, comments, shares) for the last 30 videos. This data is then visualized in charts to compare follower growth rates, average video engagement, and content strategy effectiveness, providing actionable insights for client reports.

Scenario 2: Create an Influencer Discovery & Vetting Platform

• Situation: A direct-to-consumer brand wants to find and vet authentic influencers for a new product launch campaign in the "fitness" niche.
• Implementation: The brand uses a tool built on the API. The tool first uses the /search/users endpoint with the keyword "fitness trainer." For each promising result, it calls /user/info to filter for accounts with a follower count between 50,000 and 500,000. To vet authenticity, it then calls /post/comments on their recent videos to perform sentiment analysis and check for genuine engagement. Finally, it pulls their latest videos via /user/feed to ensure their content aligns with the brand's image before initiating outreach.

Scenario 3: Develop a Viral Trend Spotting Tool for Content Creators

• Situation: A media company wants to create content that capitalizes on emerging TikTok trends to maximize reach and engagement.
• Implementation: They build an application that acts as a trend aggregator. The app's backend calls the /trending endpoint every hour to fetch the current top-performing videos. It also queries the /music/feed for the most popular sounds identified from these trending videos. The results are displayed in a simple, curated interface, showing the trending video, its associated sound, and the relevant hashtag. This allows their creative team to quickly understand what is becoming popular and produce relevant content immediately.

How it Works: Endpoints & Response

This API leverages a set of clearly defined endpoints to retrieve specific types of TikTok data. By providing a target identifier, such as a username or post ID, you can get detailed, structured information.

To get a user's profile, you would call this endpoint with the user's unique username (e.g., username=therock). The API returns a richly structured JSON object. The response typically contains a main data object which includes a user object with fields like id, uniqueId, nickname, signature, and avatarThumb. It also includes a stats object that provides key metrics like followerCount, followingCount, heartCount (total likes received), and videoCount. This clean, key-value structure allows developers to effortlessly parse the response and integrate specific data points, such as a profile picture or follower count, directly into their application's UI or database.