# TikTok Comment Replies Scraper - Reply Threads (`seemuapps/tiktok-comment-replies-scraper`) Actor

Scrape the replies under TikTok comments: every reply's text, likes, date and author, linked to its parent comment. Paste video links or shared comment links.

- **URL**: https://apify.com/seemuapps/tiktok-comment-replies-scraper.md
- **Developed by:** [Seemu Scraping](https://apify.com/seemuapps) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 replies

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?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## TikTok Comment Replies Scraper - Reply Threads

Scrape the replies under TikTok comments. Paste video links and get every reply's text, likes, date and author, each linked to the comment it answers. Or paste a shared comment link to grab the replies to just that one comment. No login needed.

### What you get

One row per reply with:

- **Reply**: text, likes, date, language, and whether the video's creator liked it
- **Reply author**: username, display name, user ID, profile URL, avatar, verified flag
- **Thread context**: whether the reply answers another reply, and the ID of that reply
- **Parent comment**: ID, text, author, likes, date and total reply count
- **Video**: video ID and URL

### Use cases

- **Audience and sentiment research**: the real discussion on TikTok happens in reply threads, not top-level comments
- **Lead generation**: find people asking "where did you buy this?" or "how much?" under product videos
- **Community management**: export conversations under your own videos to answer questions you missed
- **Brand monitoring**: see how people respond to complaints or mentions of your brand
- **Content ideas**: mine heated debates and frequently asked follow-up questions

### How to use

1. Paste TikTok video URLs, short links (vm.tiktok.com) or video IDs, one per line. You can also paste a shared comment link (it contains `share_comment_id`) to scrape that comment's replies only
2. Choose how many top-level comments to scan per video, the max replies per comment, and optionally a minimum reply count to focus on the busiest threads
3. Set **Max replies in total** (0 = no limit)
4. Run the actor. Replies appear in the **Dataset** tab, ready to export to CSV, Excel or Google Sheets

### Output example

```json
{
  "replyId": "7689738732086592263",
  "text": "no one cares",
  "createdAt": "2026-09-25T18:15:30.000Z",
  "likes": 55,
  "likedByCreator": false,
  "isReplyToReply": true,
  "authorUsername": "nabalis",
  "authorProfileUrl": "https://www.tiktok.com/@nabalis",
  "parentCommentId": "7689535922711429894",
  "parentCommentText": "I'm Muslim",
  "parentCommentAuthor": "example_user",
  "parentReplyCount": 70,
  "videoId": "7689510970292489502"
}
```

### Pricing

Pay per event:

- **Reply**: per reply saved to the dataset
- **Comments page**: per page of top-level comments scanned (about 20-30 comments)
- **Reply thread page**: per page of replies loaded (up to 50 replies)

Comments without replies are never fetched. Free Apify plans get up to 50 replies per run (3 runs a day). Upgrade to a paid plan to remove these limits.

### FAQ

**Does it also scrape top-level comments?** Each reply row carries its parent comment's text, author and likes. To export every top-level comment of a video, use a TikTok comments scraper.

**Why do I see fewer replies than TikTok's counter?** TikTok's reply count includes deleted and hidden replies, which can't be retrieved.

# Actor input Schema

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

TikTok video URLs, short links (vm.tiktok.com), video IDs, or shared comment links (to scrape one comment's replies only).

## `maxCommentsPerVideo` (type: `integer`):

How many top-level comments to scan per video, most relevant first. Replies are scraped for each comment that has them. 0 = all comments.

## `maxRepliesPerComment` (type: `integer`):

Stop after this many replies in one comment thread. 0 = all replies.

## `minReplies` (type: `integer`):

Skip comments with fewer replies than this. Raise it to focus on the busiest conversations.

## `maxItems` (type: `integer`):

Stop the run after this many replies. 0 = no limit.

## Actor input object example

```json
{
  "videoUrls": [
    "https://www.tiktok.com/@khaby.lame/video/7689510970292489502"
  ],
  "maxCommentsPerVideo": 100,
  "maxRepliesPerComment": 100,
  "minReplies": 1,
  "maxItems": 1000
}
```

# Actor output Schema

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

One row per reply: text, likes, date, likedByCreator, language, author username / nickname / user ID / profile URL, whether it answers another reply, plus the parent comment's ID, text, author, likes and reply count, and the video ID and URL.

# 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 = {
    "videoUrls": [
        "https://www.tiktok.com/@khaby.lame/video/7689510970292489502"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("seemuapps/tiktok-comment-replies-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 = { "videoUrls": ["https://www.tiktok.com/@khaby.lame/video/7689510970292489502"] }

# Run the Actor and wait for it to finish
run = client.actor("seemuapps/tiktok-comment-replies-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 '{
  "videoUrls": [
    "https://www.tiktok.com/@khaby.lame/video/7689510970292489502"
  ]
}' |
apify call seemuapps/tiktok-comment-replies-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,seemuapps/tiktok-comment-replies-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/87W8CeOqAnKESRM6u/builds/1sqPK4VfDPIlMKj8D/openapi.json