# Tiktok Profile Statistics (`shareze001/tiktok-profile-statistics`) Actor

Get the total information of a tiktok user, such as the number of videos, number of fans, number of likes, etc.

- **URL**: https://apify.com/shareze001/tiktok-profile-statistics.md
- **Developed by:** [shareze](https://apify.com/shareze001) (community)
- **Categories:** Developer tools, Integrations
- **Stats:** 29 total users, 0 monthly users, 100.0% runs succeeded, 4 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.99/month + usage

To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period. You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#rental-actors

## 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 Profile Statistics Scraper

This Apify Actor is designed to scrape profile statistics from TikTok. It allows you to retrieve detailed information about a TikTok user's profile, such as follower count, video count, and more.

### How to Use

#### 1. Input Configuration

The Actor requires an input JSON object to define the scraping parameters. The structure of the input is as follows:

```json
{
  "username": "nike"
}
```

- **`username`**: (Required) The TikTok username of the profile you want to scrape. For example, "nike".

#### 2. Output Data

The Actor returns an object containing the statistics of the specified TikTok profile. The structure of the output is as follows:

```json
{
  "videoCount": 100,
  "followerCount": 5000000,
  "followingCount": 50,
  "heartCount": 10000000,
  "friendCount": 0
}
```

- **`videoCount`**: The total number of videos posted by the user.
- **`followerCount`**: The total number of followers the user has.
- **`followingCount`**: The total number of accounts the user is following.
- **`heartCount`**: The total number of likes (hearts) the user has received across all videos.
- **`friendCount`**: The total number of friends the user has.

#### 3. Running the Actor

1. Deploy the Actor on the Apify platform.
2. Provide the input JSON in the Actor's input configuration.
3. Run the Actor to scrape data.
4. The results will be available in the Actor's dataset.

#### 4. Example Use Case

To scrape statistics for the TikTok username "nike":

1. Set the input as:
   ```json
   {
     "username": "nike"
   }
   ```
2. Run the Actor.
3. Retrieve the output dataset containing the profile statistics.

# Actor input Schema

## `username` (type: `string`):

Tiktok username

## Actor input object example

```json
{
  "username": "nike"
}
```

# 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 = {
    "username": "nike"
};

// Run the Actor and wait for it to finish
const run = await client.actor("shareze001/tiktok-profile-statistics").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 = { "username": "nike" }

# Run the Actor and wait for it to finish
run = client.actor("shareze001/tiktok-profile-statistics").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 '{
  "username": "nike"
}' |
apify call shareze001/tiktok-profile-statistics --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,shareze001/tiktok-profile-statistics"
        }
    }
}

```

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/nQjGQrwj9PsgdCZ1T/builds/SV5qlRtwuaefOQf1R/openapi.json