Advanced TikTok Comments Scraper 💬

The TikTok Comments Scraper is a tool designed to extract comments data from TikTok Posts. Simply provide the post link, and this scraper will retrieve:

All the comments from the selected post with the possibility to define max comments 📝.
Detailed information such as:
    Comment text 💬
    Author name 👤
    Author profile URL 🌐
    Author profile image 🖼️
    Published date 📅
    And more additional information 🔍.

Description 💬

🚨 Its power 💪 lies in its ability to scrape comments from not just regular posts, but also images and videos on TikTok 📸🎥.

And the best part? It works even when authentication 🔒 is required to access the content!

How to Use TikTok Comments Scraper? 💬

Using the TikTok Comments Scraper is straightforward! It's designed to be user-friendly and accessible for all skill levels. Here's how you can use it:

Sign up for an account on Apify.
Open the TikTok Comments Scraper on the Apify platform.
Input the TikTok post URL for which you want to scrape comments.
Click the "Start" button and wait for the scraping process to complete.
Download the extracted data in various formats:
    JSON
    CSV
    XML
    Excel
    HTML

Pricing for TikTok Comments Scraper 💰

This scraper operates on a pay-per-month basis. You only pay for the successful results returned by the scraper.

Price: $14.99 per month.

Why scrape TikTok comments? 💬

🚨 Detect and analyze social media trends, uncovering misinformation or harmful content.

📊 Perform market research and gain valuable insights.

🏁 Keep an eye on competitors and their activities.

💬 Measure brand sentiment and monitor changes in customer engagement.

Input for TikTok Comments Scraper 💬

The scraper accepts TikTok post URL as input. Here’s how to structure the input JSON:

{
    "urlPost": "https://www.tiktok.com/@f1/video/7340982506805529889?q=formula&t=1738705270969",
    "maxItems": 60
}

🚨 For best results, provide a post URL containing "/video/" for videos or "/photo" for images.

Output for TikTok Comments Scraper 💬

Here’s an example of the output structure after scraping comments:

{
    "cid": "7462975007728812822",
    "comment_language": "un",
    "create_time": "2025-01-23 06:17:21",
    "digg_count": 1,
    "text": "10/10🔥",
    "user": {
        "nickname": "🏎RACEisLIVE🏎",
        "avatar_thumb_url": "https://p16-sign-va.tiktokcdn.com/tos-maliva-avt-0068/ca650ffa0bea96cf7b2c1318dee655db~c5_100x100.jpg",
        "sec_uid": "MS4wLjABAAAA76p9eTb48t_6pe0k35HJykiQcfaVzjet4KScW2q0-cZAJEq-VXs-jByYM28H5bBi",
        "uid": "7410536748936414241",
        "unique_id": "bassvergiftung"
    },
    "share_info": {
        "desc": "🏎RACEisLIVE🏎’s comment: 10/10🔥",
        "url": "https://m.tiktok.com/v/7462648371363220769.html?_d=eihcbm4k5e8if7&comment_author_id=7410536748936414241&share_comment_id=7462975007728812822"
    }
}

🔥 Fields:

cid: Unique comment ID
text: The comment content
create_time: When the comment was posted
user: Information about the user who made the comment, including:
nickname: The author's nickname
avatar_thumb_url: The author's profile image URL
uid: The author's unique ID
share_info: The URL where the comment can be viewed on TikTok.

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You can even apply sentiment analysis on the comments text we've extracted! 😃📊:

• Sentiment Analysis Text Classification 📈

📫 Support

😊 Leave us a star ⭐ if you are satisfied with the product! 🌍 For any questions, specific needs or issues, please reach out through Apify's platform or via email - Storm_Scraper 🌪️🌩️