# TikTok Competitor & Creator Intelligence (`datavaultlabs/tiktok-competitor-intelligence`) Actor

TikTok competitor analysis and creator analytics using public profiles and videos: views, engagement, followers, posting frequency, viral outliers, hashtags and sounds.

- **URL**: https://apify.com/datavaultlabs/tiktok-competitor-intelligence.md
- **Developed by:** [Samuel Huirau Atutahi](https://apify.com/datavaultlabs) (community)
- **Categories:** Social media, Videos, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $20.00 / 1,000 profile intelligences

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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 Competitor & Creator Intelligence

Analyze **public TikTok competitors, creators, brands, and profiles** using structured performance intelligence instead of raw video data alone.

Enter one or more TikTok usernames or public profile URLs and the Actor automatically collects recent profile videos, analyzes their performance, and produces profile-level intelligence plus an optional competitor comparison.

### What you get

For each analyzed video, the Actor can return:

- views
- likes
- comments
- shares
- saves
- reposts
- total engagement
- engagement rate by views
- engagement rate by followers
- views-to-followers ratio
- like, share, and save rates
- hashtags and mentions
- music and sound information
- CTA signals
- sponsorship/ad signals
- viral outlier score

For each profile, it also generates an intelligence summary with:

- follower and following counts
- total profile likes
- video count
- average and median views
- average likes, comments, shares, and saves
- engagement benchmarks
- follower-reach efficiency
- estimated posting frequency
- viral post count
- top hashtags
- top sounds
- CTA frequency
- sponsorship-signal frequency

When two or more profiles are supplied, the Actor adds a structured **competitor comparison** ranking profiles by audience size, median views, engagement, posting frequency, views-to-followers efficiency, and viral performance.

### Input

#### TikTok profiles

Enter TikTok usernames, `@handles`, or public TikTok profile URLs.

Example:

```json
{
  "profiles": ["nike", "adidas"],
  "maxVideosPerProfile": 6,
  "sortMode": "latest",
  "skipPinnedPosts": true
}
```

You can analyze up to 20 profiles per run and up to 30 videos per profile.

#### Video sorting

Choose:

- `latest` — analyze recent profile videos
- `popular` — analyze popular profile videos

Pinned posts can optionally be excluded.

### Output types

The dataset can contain three record types:

#### `video`

One analyzed TikTok video with performance, engagement, reach, content, sound, CTA, sponsorship, and viral-outlier signals.

#### `profile_summary`

One intelligence summary per successfully analyzed TikTok profile.

#### `competitor_comparison`

Generated when at least two profiles are successfully analyzed.

### Pricing

This Actor uses **Pay per event** pricing with platform usage included.

| Event | Price |
|---|---:|
| Profile intelligence | $0.02 per profile |
| Video analysis | $0.008 per video |
| Competitor comparison | $0.05 per comparison |
| Actor start | $0.00005 per run |

Your maximum run cost can be controlled using Apify's spending limit.

### Use cases

- TikTok competitor benchmarking
- creator research
- influencer discovery and evaluation
- content strategy research
- social-media performance analysis
- agency reporting
- viral-content research
- hashtag and sound intelligence
- brand and sponsorship research
- automated dashboards and data pipelines

### Viral outlier scoring

Each video is compared with the median views of the analyzed videos from the same profile.

An `outlierScore` of `2.5`, for example, means the video generated approximately 2.5 times the profile sample's median views.

Videos scoring at least `2.5` are marked as `isViralOutlier: true`.

This makes it easier to identify unusually strong content without relying only on raw follower counts.

### Data availability and limitations

This Actor analyzes **publicly accessible TikTok profile and video data**.

TikTok metrics change continuously, so outputs represent a point-in-time snapshot. Deleted, unavailable, restricted, private, or otherwise inaccessible content may return limited or no results.

Some metadata fields are not present on every TikTok video.

Engagement, viral-outlier, CTA, and sponsorship indicators are analytical signals intended for research and benchmarking. They should not be treated as permanent measurements or legal determinations.

This Actor is not affiliated with or endorsed by TikTok.

# Actor input Schema

## `profiles` (type: `array`):

TikTok usernames, @handles, or public profile URLs.

## `maxVideosPerProfile` (type: `integer`):

Maximum recent videos to analyze per profile.

## `sortMode` (type: `string`):

Analyze latest or popular profile videos.

## `skipPinnedPosts` (type: `boolean`):

Exclude pinned videos from the analysis.

## Actor input object example

```json
{
  "profiles": [
    "nike",
    "adidas"
  ],
  "maxVideosPerProfile": 1,
  "sortMode": "latest",
  "skipPinnedPosts": true
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "profiles": [
        "nike"
    ],
    "maxVideosPerProfile": 1,
    "sortMode": "latest",
    "skipPinnedPosts": true
};

// Run the Actor and wait for it to finish
const run = await client.actor("datavaultlabs/tiktok-competitor-intelligence").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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "profiles": ["nike"],
    "maxVideosPerProfile": 1,
    "sortMode": "latest",
    "skipPinnedPosts": True,
}

# Run the Actor and wait for it to finish
run = client.actor("datavaultlabs/tiktok-competitor-intelligence").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "profiles": [
    "nike"
  ],
  "maxVideosPerProfile": 1,
  "sortMode": "latest",
  "skipPinnedPosts": true
}' |
apify call datavaultlabs/tiktok-competitor-intelligence --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,datavaultlabs/tiktok-competitor-intelligence"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/kXWEaCsTwdjROB0yu/builds/8gWb7pW6eCeGfkjw9/openapi.json