# TikTok Comments - What Your Audience Actually Thinks (`reapx/tiktok-comments`) Actor

"What do people actually think of this video?" Get every TikTok comment and reply with authors, likes and timestamps, so you can read the room instead of guessing.

- **URL**: https://apify.com/reapx/tiktok-comments.md
- **Developed by:** [Tarek Etman](https://apify.com/reapx) (community)
- **Categories:** Social media, Marketing, For creators
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.40 / 1,000 tiktok comment record delivereds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

![reapX - the record of what changed](https://reapx.dev/reapx.gif)

## TikTok Comments - What The Audience Really Thinks

> "The nested replies are where the real reaction is, and every tool I try drops them."

Comment scrapers truncate nested threads, so the sentiment reported in client decks is only the shallow top-level half. Pull complete comment threads with author details, nested replies, timestamps, sentiment classification, and comment quality flags.

### ⬇️ Input

Set target video links or creator handles and specify output volume filters.

| Field | Type | Description |
|---|---|---|
| `videoUrl` | String | Target TikTok video URL or profile handle. |
| `maxComments` | Integer | Maximum comment records to extract per run. Default: `25`. |

### ⬆️ Output

Each comment item emits a structured JSON record containing full thread text, author details, and computed sentiment fields:

- `sentimentMix`: Calculated sentiment classification (`positive`, `neutral`, `negative`).
- `topThemes`: Extracted main topic clusters discussed in comment replies.
- `commentQualitySignal`: Signal flagging automated engagement pod activity vs organic replies.
- `commentId`: Unique TikTok comment identifier (stable per-row key).
- `awemeId`: TikTok video identifier associated with comment thread.
- `text`: Full text body of comment.
- `authorUsername`: TikTok handle of commenter.
- `likeCount`: Number of likes received on comment.
- `replyCount`: Number of nested replies attached.
- `parentId`: Parent comment ID for nested thread replies.

```json
{
  "sentimentMix": "positive",
  "topThemes": ["pricing inquiries", "feature requests"],
  "commentQualitySignal": "Clean - Organic Commenter Mix",
  "commentId": "7318596324200385825_1",
  "awemeId": "7318596324200385825",
  "text": "Where can I buy this exact shade?",
  "authorUsername": "beautyfan24",
  "likeCount": 142,
  "replyCount": 12,
  "parentId": "0"
}
```

### How it works

1. Connects to TikTok video endpoints over HTTP without browser automation.
2. Parses comment threads, nested replies, author details, and timestamps.
3. Computes `sentimentMix`, `topThemes`, and `commentQualitySignal` signals across thread cohorts.
4. Validates each dataset item against schema definitions before emitting output.

### ❓ FAQ

#### Are nested replies included in the extraction?

Yes. Unlike tools that drop nested replies, this actor captures complete thread trees including child reply records.

#### Do I need a TikTok login session?

No login or session cookies are required. Extraction operates on publicly visible web endpoints.

### 💬 Your feedback

Need custom comment topic clustering or sentiment analysis? Contact us at reapxdev@proton.me.

***

reapx · reapx.dev · reapxdev@proton.me

# Actor input Schema

## `videoUrl` (type: `string`):

Paste the TikTok video link, or a creator handle to read their recent videos. The comments come back with who wrote them, when, and how many likes each one got.

## `videoUrls` (type: `array`):

Paste as many TikTok video links as you want - one per line. Every comment comes back tagged with the video it came from.

## `maxComments` (type: `integer`):

How many comments come back. Ask for more when you want the whole reaction rather than the loudest few.

## `proxyConfiguration` (type: `object`):

How the run reaches the platform. The default is already the route that works for this source, so leave it alone unless you have a reason to change it.

## Actor input object example

```json
{
  "videoUrl": "https://www.tiktok.com/@scout2026",
  "videoUrls": [],
  "maxComments": 25,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# 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 = {
    "videoUrl": "https://www.tiktok.com/@scout2026",
    "videoUrls": [],
    "maxComments": 25,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("reapx/tiktok-comments").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 = {
    "videoUrl": "https://www.tiktok.com/@scout2026",
    "videoUrls": [],
    "maxComments": 25,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("reapx/tiktok-comments").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 '{
  "videoUrl": "https://www.tiktok.com/@scout2026",
  "videoUrls": [],
  "maxComments": 25,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call reapx/tiktok-comments --silent --output-dataset

```

## MCP server setup

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

```

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/eW5MtZOkH8o9IlFAq/builds/D55Y9Mxu6MNUY3HvA/openapi.json