Use our TikTok profiles dataset to extract business and non-business information from complete public profiles and filter by account name, followers, create date, or engagement score. You may purchase the entire dataset or a customized subset depending on your needs. Popular use cases include sentiment analysis, brand monitoring, influencer marketing, and more. The TikTok dataset includes all major data points: timestamp, account name, nickname, bio,average engagement score, creation date, is_verified,l ikes, followers, external link in bio, and more. Get your TikTok dataset today!

Comprehensive database of TikTok creators with detailed analytics, engagement metrics, and LIVE performance tracking

TikTok-10M Dataset

  Dataset Description

TikTok-10M is a large-scale dataset containing 10 million short-form posts from TikTok, designed for video understanding, multimodal learning, and social media content analysis. The dataset was curated to bridge the gap between academic video datasets and actual user-generated content, providing researchers with authentic patterns and characteristics of modern short-form video content that dominates social media platforms.… See the full description on the dataset page: https://huggingface.co/datasets/The-data-company/TikTok-10M.

In the first half of 2024, TikTok received 2,606 law enforcement agency requests for user information from Malaysia. Indonesia ranked second with 778 user data requests. The global number of user data requests via governments during that period amounted to 8,516 requests in total.

TikTok is developing into a key platform for news, advertising, politics, online shopping, and entertainment in Germany, with over 20 million monthly users. Especially among young people, TikTok plays an increasing role in their information environment. We provide a human-coded dataset of over 4,000 TikTok videos from German-speaking news outlets from 2023. The coding includes descriptive variables of the videos (e.g., visual style, text overlays, and audio presence) and theory-derived concepts from the journalism sciences (e.g., news values).

This dataset consists of every second video published in 2023 by major news outlets active on TikTok from Germany, Austria, and Switzerland. The data collection was facilitated with the official TikTok API in January 2024. The manual coding took place between September 2024 and December 2024. For a detailed description of the data collection, validation, annotation and descriptive analysis, please refer to [Forthcoming dataset paper publication].

# TikTok Data

This directory contains data analysis results from TikTok video and comment data. The analysis is split into different time frames (hour and day) and further categorized by topics, children presence, and comments.

## Directory Structure

```
tiktok-hour/
├── hour/
│ ├── share_count.csv # Distribution of share counts
│ ├── digg_count.csv # Distribution of like counts
│ ├── comment_count.csv # Distribution of comment counts
│ ├── play_count.csv # Distribution of play/view counts
│ ├── create_time_count.csv # Distribution of video creation timestamps from createTime attribute
| ├── id_timestamp_count.csv # Distribution of video creation timestamps from ID (included videos with error message)
│ ├── location_created_count.csv # Distribution of video creation locations
│ ├── createtime_location_created.csv # Joint distribution of creation time and location
│ ├── topics/
│ │ ├── topic_desc.parquet # Topic descriptions with video counts
│ │ ├── [topic_id]/
│ │ │ ├── play_count_dist.csv # Play count distribution for videos in this topic
│ │ │ └── location_created_dist.csv # Creation location distribution for videos in this topic
│ │
│ └── [country_name]/ # Country-specific directory
│ └── [engagement_type]_count.csv # Engagement distribution for the specific country
│
├── day/
│ ├── share_count.csv # Distribution of share counts (24-hour data)
│ ├── digg_count.csv # Distribution of like counts (24-hour data)
│ ├── comment_count.csv # Distribution of comment counts (24-hour data)
│ ├── play_count.csv # Distribution of play/view counts (24-hour data)
│ ├── create_time_count.csv # Distribution of video creation timestamps from createTime attribute (24-hour data)
| ├── id_timestamp_count.csv # Distribution of video creation timestamps from ID (included videos with error message) (24 hour data)
│ ├── location_created_count.csv # Distribution of video creation locations (24-hour data)
│ ├── createtime_location_created.csv # Joint distribution of creation time and location (24-hour data)
│ ├── children/
│ │ ├── play_count_dist.csv # Play count distribution for videos with children
│ │ ├── country_share_videos_with_children.csv # Percentage of videos with children by country
│ │ └── [country_name]/
│ │ └── play_count_dist.csv # Play count distribution for videos with children in specific country
│ │
│ ├── comments/
│ │ ├── comment_language_counts.csv # Distribution of comment languages
│ │ └── create_time_dist.csv # Distribution of comment creation times
│ │
│ └── [country_name]/ # Country-specific directory
│ └── [engagement_type]_count.csv # Engagement distribution for the specific country
```

## File Descriptions

### Engagement Distribution Files

- **share_count.csv**: Distribution of the number of shares per video
- **digg_count.csv**: Distribution of the number of likes (diggs) per video
- **comment_count.csv**: Distribution of the number of comments per video
- **play_count.csv**: Distribution of the number of plays/views per video

### Time and Location Files

- **create_time_count.csv**: Distribution of video creation timestamps
- **id_timestamp_count.csv**: Distribution of video creation timestamps from ID (included videos with error message)
- **location_created_count.csv**: Distribution of locations where videos were created
- **createtime_location_created.csv**: Joint distribution of creation time and location

### Topic-Related Files

- **topic_desc.parquet**: Topic descriptions along with the count of videos in each topic
- **play_count_dist.csv** (in topic directories): Distribution of play counts for videos in a specific topic
- **location_created_dist.csv** (in topic directories): Distribution of creation locations for videos in a specific topic

### Children-Related Files

- **play_count_dist.csv** (in children directory): Distribution of play counts for videos that contain children
- **country_share_videos_with_children.csv**: Percentage of videos with children by country
- **play_count_dist.csv** (in country subdirectories): Distribution of play counts for videos with children in specific countries

### Comment-Related Files

- **comment_language_counts.csv**: Distribution of languages used in comments
- **create_time_dist.csv**: Distribution of comment creation times

### Country-Specific Files

- **[engagement_type]_count.csv**: Distribution of engagement metrics (share, digg, comment, play) for videos from specific countries

## Data Collection Methodology

This data is collected from TikTok videos with the following characteristics:
- Hour data: Videos created during hour 19 (7 PM)
- Day data: Videos created at minute 42 of each hour across a 24-hour period
- Child detection: Videos with children are identified using our classifier

Identify fastest-growing Database Management Software keywords on TikTok Shop. Analyze trending scores to identify the most relevant search terms and stay ahead of market trends for your store.

As of February 2025, the United States was the region with the largest TikTok audience by far, with almost ****** million users engaging with the popular social video platform. Indonesia followed, with around ***** million TikTok users. Brazil came in third, with almost ***** million users on TikTok watching short-videos. From Reels to Shorts: social short video takes the internet Between 2021 and 2022 some of the most popular social media platforms have been adding short-video features on the heels of TikTok’s popularity. YouTube Shorts, which rolled out to the global market in June 2021, reached *** billion monthly active logged-in users in 2023. In comparison, Instagram’s short-video format Reels, which launched in August 2020, presented a higher view rate than regular videos on the platform between June 2021 and June 2022, as well as a higher likes rate than other content types on Instagram. TikTok business model TikTok is owned by the Beijing-based ByteDance, along with the short-video app Douyin (TikTok’s version for the Chinese market), video platform Xigua, and popular news app Toutiao. While the products intended for domestic market consumption operate in the Chinese digital ecosystem and have a plurality of established monetization methods such as a live-shopping events hosted by famous influencers, TikTok’s main revenue stream comes from online advertising. In 2022, TikTok was estimated to have generated around **** billion U.S. dollars worldwide via online advertising.

Our TikTok Influencer Dataset provides comprehensive insights into influencer profiles, audience engagement, and market impact. This dataset is ideal for brands, marketers, and researchers looking to identify top-performing influencers, analyze engagement metrics, and optimize influencer marketing strategies on TikTok.

Key Features:

  Influencer Profiles: Access detailed influencer data, including profile name, bio, profile picture, and direct profile URL.
  Follower & Engagement Metrics: Track key performance indicators such as follower count, engagement rate, and interaction levels.
  Monetization Insights: Analyze influencer earnings with Gross Merchandise Value (GMV) and currency details.
  Category & Niche Segmentation: Identify influencers based on their associated product categories to match brand campaigns with relevant audiences.
  Contact Information: Retrieve available influencer email addresses for direct outreach and collaboration.


Use Cases:

  Influencer Discovery & Marketing: Find high-performing TikTok influencers for brand partnerships and sponsored campaigns.
  Competitive Analysis: Compare influencer engagement rates and audience reach to optimize marketing strategies.
  Market Research & Trend Analysis: Identify emerging influencers and track content trends within different product categories.
  Performance Benchmarking: Evaluate influencer success based on GMV, engagement rate, and follower growth.
  Lead Generation & Outreach: Use available contact details to connect with influencers for collaborations and brand promotions.



  Our TikTok Influencer Dataset is available in multiple formats (JSON, CSV, Excel) and can be delivered via 
  API, cloud storage (AWS, Google Cloud, Azure), or direct download. 
  Gain valuable insights into the TikTok influencer landscape and enhance your marketing strategies with high-quality, structured data.

Viral content trends and hashtag mentions reflecting consumer brand engagement

TIK TOK DATA

Auto-generated structured data of TikTok Ads Field Reference from table Available options

Background: COVID-related misinformation is prevalent online, including on social media. The purpose of this study was to explore factors associated with user engagement with COVID-related misinformation on the social media platform, TikTok. Methods: A sample of TikTok videos associated with the hashtag #coronavirus were downloaded on September 20, 2020. Misinformation was evaluated on a scale (low, medium, high) using a codebook developed by experts in infectious diseases. Multivariable modeling was used to evaluate factors associated with number of views and presence of user comments indicating intention to change behavior. Results: 166 TikTok videos were identified. Moderate misinformation was present in 36 (22%) videos, and high-level misinformation was present in 11 (7%). After controlling for characteristics and content, videos containing moderate misinformation were less likely to generate a user response indicating intended behavior change. By contrast, videos containing high-le..., ,

TikTok has risen through the ranks to become the 5th most popular social media network worldwide.

Auto-generated structured data of TikTok Ads Field Reference from table Fields

Viral content trends and cultural insights from TikTok providing early indicators of consumer behavior shifts for institutional investment research.

In January 2022, video sharing app TikTok had over ***** million daily active users via Android devices worldwide, up from ***** million DAU in December 2021. TikTok is one of the most downloaded apps in the Google Play store.

This dataset contains the predicted prices of the asset TIKTOK USA over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

TikTok invests $3.76 billion in Thailand's data hosting, boosting infrastructure and aligning with global tech strategies.

These TikTok user statistics tell the whole story of the new social media giant and give you some insights into the app's future.