# TikTok Creator & Trend Scraper (`zackmiel/tiktok-creator-trend-scraper`) Actor

Collects TikTok creator metrics and post-level social listening and trend data.

- **URL**: https://apify.com/zackmiel/tiktok-creator-trend-scraper.md
- **Developed by:** [Zack Miel](https://apify.com/zackmiel) (community)
- **Categories:**
- **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 results

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/actors/running/actors-in-store.md#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 Creator & Trend Scraper

Extract deep analytics, engagement rates, and trend data from TikTok profiles and hashtags at scale. Designed specifically for social listening, e-commerce trend tracking, and influencer discovery.

### 🚀 Why use this scraper?

Unlike standard scrapers that only pull vanity metrics, this Actor automatically calculates true engagement rates and extracts granular post-level data (like exact Audio Track IDs and bookmark counts) so you can reverse-engineer viral trends.

- **Creator Intelligence:** Automatically calculates engagement rates based on lifetime likes and followers.
- **Trend Tracking:** Extracts views, shares, comments, and bookmarks for hashtag searches (e.g., `#ecommerce`).
- **Audio Discovery:** Pulls the specific Audio Track ID and title to identify trending sounds before they peak.
- **Fast & Cost-Effective:** Optimized Playwright extraction designed to run quickly on Pay-Per-Event pricing.

### 🎯 Ideal Use Cases

- **E-commerce Brands:** Monitor competitor video ad copy and trending hashtags.
- **Marketing Agencies:** Discover high-engagement, micro-influencers for brand deals.
- **Data Analysts:** Track the virality lifecycle of specific sounds or challenges.

### 🛠 Input Configuration

The scraper accepts profiles, hashtags, or direct search queries.

- **Profiles:** Array of TikTok usernames (e.g., `zeyd.tiktok`).
- **Hashtags:** Array of hashtags without the '#' (e.g., `ecommerce`).
- **Max Posts Per Target:** Limit the number of videos scraped per profile/hashtag to control your costs.

### 📊 Sample Output

The Actor pushes structured data directly to the Apify Dataset in JSON, CSV, or Excel formats.

````json
{
  "recordType": "creator",
  "sourceType": "profile",
  "username": "zeyd.tiktok",
  "followers": 18400,
  "likes": 99400,
  "videos": 16,
  "engagementRate": 33.76,
  "engagementRateBasis": "average_lifetime_likes_per_video_divided_by_followers",
  "scrapedAt": "2026-08-29T23:41:41.322Z"
}

# Actor input Schema

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

TikTok usernames or full profile URLs.
## `hashtags` (type: `array`):

Hashtags with or without the leading #, or full TikTok hashtag URLs.
## `searchQueries` (type: `array`):

Free-text queries to search on TikTok.
## `maxPostsPerTarget` (type: `integer`):

Maximum number of post records collected for each profile, hashtag, or search query.

## Actor input object example

```json
{
  "profiles": [],
  "hashtags": [],
  "searchQueries": [],
  "maxPostsPerTarget": 5
}
````

# Actor output Schema

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

Structured creator and post records stored in the Actor's default dataset.

# 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 = {};

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

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("zackmiel/tiktok-creator-trend-scraper").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 '{}' |
apify call zackmiel/tiktok-creator-trend-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,zackmiel/tiktok-creator-trend-scraper"
        }
    }
}

```

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/P2Ws7bOynmd8UTa6b/builds/8o7o8CGcgBB6bR9Qa/openapi.json