How to Retrieve Replies to a Specific TikTok Comment ID

As TikTok's global influence continues to grow, it has evolved beyond a simple short video platform into a hub for information dissemination and user interaction. The comment section often holds valuable insights into user opinions, emotional trends, and behavioral patterns. In particular, the reply thread of a specific comment can reveal how content spreads through the community and how audiences react to it.

This article provides a step-by-step guide to retrieving all replies to a TikTok comment using two methods:

  • Method 1: Build your own Python-based web scraper

  • Method 2: Use the LuckData TikTok API for a quick, no-code solution

We’ll also discuss technical and compliance considerations to help you collect TikTok data effectively and safely.

1. Build Your Own Web Scraper to Collect TikTok Comment Replies

Web scraping offers flexibility and full control over the data collection process. You can customize request logic, concurrency strategy, data cleaning steps, and more. However, this also requires more technical expertise and ongoing maintenance.

1.1 Set Up Your Environment and Dependencies

We’ll use aiohttp and asyncio to perform asynchronous HTTP requests and improve scraping efficiency.

pip install aiohttp asyncio

1.2 Asynchronously Fetch TikTok Reply Data

The example below shows how to use a comment ID to retrieve paginated reply data:

import aiohttp

import asyncio

async def fetch_reply_page(video_id, comment_id, cursor, session):

url = f"https://www.tiktok.com/api/comment/list/reply/"

params = {

"aweme_id": video_id,

"comment_id": comment_id,

"cursor": cursor,

"count": 20

}

headers = {

"User-Agent": "Mozilla/5.0",

"Referer": f"https://www.tiktok.com/"

}

async with session.get(url, headers=headers, params=params) as response:

return await response.json()

async def scrape_all_replies(video_id, comment_id):

replies = []

cursor = 0

async with aiohttp.ClientSession() as session:

while True:

data = await fetch_reply_page(video_id, comment_id, cursor, session)

page_replies = data.get('comments', [])

replies.extend(page_replies)

if not data.get('has_more'):

break

cursor = data.get('cursor', cursor + 20)

return replies

# Example usage:

# asyncio.run(scrape_all_replies("7093219391759764782", "7093219663211053829"))

1.3 Dealing with Complex Pages and Authentication

TikTok limits API access for unauthenticated users. If you encounter issues like 403 errors or CAPTCHA prompts, consider the following:

  • Use simulated login (e.g., Selenium + exporting cookies)

  • Set up a dynamic proxy pool to bypass IP restrictions

  • Regularly change your User-Agent and Referer headers

2. Quickly Get Replies Using the LuckData API

If you’d prefer not to deal with complex structures and anti-scraping tactics, you can use LuckData’s TikTok API service. It abstracts common data retrieval logic so you can focus on your core business.

2.1 Sample Code for Quick Integration

LuckData offers a simple HTTP interface to fetch replies to a given comment:

import requests

headers = {

'X-Luckdata-Api-Key': 'your_key_here'

}

params = {

'count': 10,

'cursor': 0,

'video_id': '7093219391759764782',

'comment_id': '7093219663211053829'

}

response = requests.get(

'https://luckdata.io/api/tiktok-api/gqJ8UsGWZJ2p',

headers=headers,

params=params

)

data = response.json()

print(data)

This API returns structured JSON, including fields such as username, reply content, timestamp, and likes.

2.2 API Response Fields

LuckData’s reply data includes rich fields like:

  • user_id: Unique user ID

  • username: Nickname

  • text: Reply content

  • create_time: Timestamp

  • like_count: Number of likes

  • reply_id: Reply ID (can be used to fetch nested replies)

These fields can support various applications like:

  • Sentiment analysis

  • Behavioral modeling

  • Comment classification

  • Trend tracking

2.3 Benefits of Using LuckData

  • No coding required: Ideal for non-technical users

  • Free to start: 50 free calls per month

  • No infrastructure management: Built-in residential IPs ensure stable access

  • Pay-per-success: Calls only count when data is successfully retrieved

  • Comprehensive TikTok data support: Comments, videos, users, challenges, ads, and more

3. Real-World Use Cases

Replies to TikTok comments are valuable in both academic and commercial contexts:

3.1 Brand Reputation Monitoring

Brands can mine replies to identify feedback or recurring complaints. For example, replies to “How’s the quality of these pants?” often reveal genuine user experience.

3.2 Public Opinion Trend Analysis

Analyze replies to a top comment on a trending video to understand shifts in audience sentiment.

3.3 Content Aggregation and Repurposing

Find the most engaged reply threads to identify hot topics and guide new content creation.

4. Legal and Technical Considerations

When collecting TikTok data, keep the following in mind:

4.1 Stay Legal and Compliant

TikTok prohibits unauthorized mass data scraping, especially for commercial use. Be sure to:

  • Read and follow TikTok’s Terms of Service

  • Avoid collecting personal or sensitive data

  • Use authorized services (like LuckData) for commercial applications

4.2 Proxy and Geo-Restriction Issues

TikTok enforces content and access restrictions based on location. When scraping:

  • Use dynamic residential proxies (e.g., built-in with LuckData)

  • Add retry and IP rotation mechanisms

4.3 Performance Optimization for Large Data Sets

For large-scale scraping, consider:

  • Asynchronous programming for concurrency

  • Rate-limiting to avoid being blocked

  • Caching previously collected data to prevent duplication

5. FAQ

Q: Can I get second-level replies (replies to replies)?
A: Yes, LuckData supports fetching replies using reply_id, but TikTok may limit the depth of nested threads.

Q: Are the APIs stable? Do they change often?
A: Scrapers require constant maintenance, but LuckData maintains and updates the API so you don’t have to worry about instability.

Q: Should I use a scraper or the API?

Method

Best For

Pros

Cons

Custom Scraper

Developers

Flexible, low-cost

Complex, high maintenance, prone to breakage

LuckData API

Analysts, marketers

Fast, stable, maintenance-free

API limits, may require subscription

6. Conclusion: Choose the Best Fit for You

Getting TikTok comment replies isn’t difficult — it’s about choosing the right tool for your needs:

  • If you're a technical user, build your own scraper for full control and customization

  • If you prioritize ease and reliability, LuckData’s API offers the fastest route, especially for businesses and non-coders

Whether you're a brand owner, data analyst, researcher, or developer, TikTok comment replies can offer valuable insights. With the right approach, TikTok data becomes a powerful asset.

Articles related to APIs :