TikTok Comment Exporter: How to Export and Analyze TikTok Comments

TikTok comments are a goldmine of unfiltered audience feedback. They tell you what people actually think about a product, a trend, or a creator in ways that polished metrics like view counts never will. But TikTok does not give you any way to export or download comments from its app. If you want to analyze comments at scale, you need a TikTok comment exporter.

This guide covers why you would want to export TikTok comments, the data you get, and two ways to do it: a free browser tool and the programmatic API approach.

Why export TikTok comments?

Here are the most common use cases:

Sentiment analysis

Want to know how people feel about your brand, a competitor, or a product launch? Export the comments from relevant videos and run them through a sentiment analysis pipeline. You will get a clear read on positive, negative, and neutral sentiment that no dashboard metric can provide.

Content ideas

TikTok comments are full of questions, requests, and suggestions. Export comments from your top-performing videos and look for patterns. What are people asking for? What confuses them? What do they want more of? These are direct content ideas from your audience.

Competitor research

Export comments from competitor videos to understand their audience’s pain points, complaints, and praise. This gives you positioning insights you cannot get any other way.

Brand monitoring

Track how your brand is mentioned in comments across TikTok. Export comments from videos that mention your brand or product and monitor sentiment over time.

Influencer vetting

Before partnering with a creator, export comments from their recent videos. Are the comments genuine or full of bot-like responses? Do their followers actually engage with the content? Comment quality tells you more about an influencer’s audience than follower count.

Academic research

Researchers studying social media behavior, content virality, or online discourse need comment data in structured formats for analysis. Exporting to CSV or JSON makes it possible to run statistical analysis, NLP, and other research workflows.

What data do you get from exported TikTok comments?

Each exported comment includes:

Method 1: Use the free TikTok comment exporter tool

The fastest way to export TikTok comments is with the free TikTok Comments Tool on CreatorCrawl. No sign-up required for basic usage.

1. Go to creatorcrawl.com/free-tools/tiktok-comments
2. Paste a TikTok video URL
3. Click export
4. Download the results as JSON or copy them directly

This is perfect for one-off exports when you just need comments from a single video.

Method 2: Export TikTok comments with the API

For recurring exports, bulk analysis, or integration into your own tools, use the CreatorCrawl API.

Setup

1. Sign up for CreatorCrawl (250 free credits, no card required)
2. Generate an API key from your dashboard

Basic comment export

Python:

import requests

API_KEY = "your_api_key_here"
BASE_URL = "https://api.creatorcrawl.com/v1"

video_url = "https://www.tiktok.com/@charlidamelio/video/7321456789012345678"

response = requests.get(
    f"{BASE_URL}/tiktok/video/comments",
    params={"url": video_url},
    headers={"x-api-key": API_KEY}
)

data = response.json()
print(f"Total comments: {data['total']}")

for comment in data["comments"]:
    print(f"@{comment['user']['unique_id']}: {comment['text']}")
    print(f"  Likes: {comment['digg_count']} | Replies: {comment['reply_comment_total']}")

JavaScript:

const API_KEY = 'your_api_key_here'
const BASE_URL = 'https://api.creatorcrawl.com/v1'

const videoUrl = 'https://www.tiktok.com/@charlidamelio/video/7321456789012345678'

const response = await fetch(
  `${BASE_URL}/tiktok/video/comments?url=${encodeURIComponent(videoUrl)}`,
  { headers: { 'x-api-key': API_KEY } }
)

const data = await response.json()
console.log(`Total comments: ${data.total}`)

for (const comment of data.comments) {
  console.log(`@${comment.user.unique_id}: ${comment.text}`)
  console.log(`  Likes: ${comment.digg_count} | Replies: ${comment.reply_comment_total}`)
}

Export all comments with pagination

Most videos have more comments than a single API call returns. Use the cursor to paginate through all of them:

def export_all_comments(video_url):
    all_comments = []
    cursor = None

    while True:
        params = {"url": video_url}
        if cursor:
            params["cursor"] = cursor

        response = requests.get(
            f"{BASE_URL}/tiktok/video/comments",
            params=params,
            headers={"x-api-key": API_KEY}
        )

        data = response.json()
        comments = data.get("comments", [])
        all_comments.extend(comments)

        print(f"Fetched {len(all_comments)} of {data.get('total', '?')} comments")

        if not data.get("has_more"):
            break
        cursor = data.get("cursor")

    return all_comments

comments = export_all_comments(
    "https://www.tiktok.com/@charlidamelio/video/7321456789012345678"
)
print(f"Exported {len(comments)} total comments")

Save to CSV

Export your comments to a CSV file for analysis in Excel, Google Sheets, or a data tool:

import csv

def save_comments_to_csv(comments, filename="comments.csv"):
    with open(filename, "w", newline="", encoding="utf-8") as f:
        writer = csv.writer(f)
        writer.writerow([
            "username", "nickname", "comment", "likes",
            "replies", "timestamp", "pinned", "liked_by_author", "language"
        ])

        for comment in comments:
            writer.writerow([
                comment["user"]["unique_id"],
                comment["user"]["nickname"],
                comment["text"],
                comment["digg_count"],
                comment["reply_comment_total"],
                comment["create_time"],
                comment["author_pin"],
                comment["is_author_digged"],
                comment["comment_language"],
            ])

    print(f"Saved {len(comments)} comments to {filename}")

save_comments_to_csv(comments)

Tips for analyzing exported TikTok comments

Look at pinned and author-liked comments first

Pinned comments and comments liked by the video author are signals of what the creator considers important. Filter for author_pin == True and is_author_digged == True to surface these.

Sort by like count for top reactions

The most-liked comments represent the strongest audience reactions. Sort your export by digg_count descending to find the comments that resonated most.

Filter by language

If you are analyzing a specific market, filter comments by the comment_language field. This is especially useful for creators with global audiences.

Track reply threads

Comments with high reply_comment_total values indicate topics that sparked conversation. These are often the most valuable for understanding audience opinions.

Run basic sentiment at scale

Export comments from multiple videos and use a simple sentiment library (like TextBlob for Python or Sentiment for Node.js) to score each comment. Aggregate scores give you a sentiment trend over time.

from textblob import TextBlob

positive, negative, neutral = 0, 0, 0

for comment in comments:
    sentiment = TextBlob(comment["text"]).sentiment.polarity
    if sentiment > 0.1:
        positive += 1
    elif sentiment < -0.1:
        negative += 1
    else:
        neutral += 1

total = len(comments)
print(f"Positive: {positive/total*100:.1f}%")
print(f"Negative: {negative/total*100:.1f}%")
print(f"Neutral: {neutral/total*100:.1f}%")

Next steps

Now that you can export and analyze TikTok comments:

• Try the free tool at TikTok Comments Exporter
• Read the API reference for the comments endpoint
• Explore more comment use cases in the TikTok comments guide

Get started with 250 free credits and start exporting TikTok comments today.