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Scrape Top TikTok Comments and Replies

Get the most-liked comments of any TikTok video, with their top replies: text, likes, date, language, mentions and the commenter's profile, plus the video on every row. Swap in your own video links, or add profiles, hashtags or keywords, and run it on demand, on a schedule or through the API. Export as JSON, CSV or Excel, or send to Google Sheets, Zapier, Make and n8n.

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TikTok Comments Scraper
TikTok Comments Scrapercalm_builder/tiktok-comments-scraper
Type
Avatar
Commenter
Comment
+12 fields
Text
Number
Boolean
List
Object

Input

Video links:https://www.tiktok.com/@gordonramsayofficial/video/7229884545150061851
Maximum comments per video:100
Maximum replies per comment:5
Comment order:mostLiked

Output fields

Type
Avatar
Commenter
Comment
Likes
Replies
Posted
Pinned
Liked by creator
By creator
Language
Video by
Video link
Comment ID
Reply to
Commenter profile

How it works

Sign up on Apify or log in

The TikTok Comments Scraper Actor is ready to run with the inputs already set for "Scrape Top TikTok Comments and Replies". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Scrape Top TikTok Comments and Replies" task

The TikTok Comments Scraper Actor will start running based on the input automatically. You can also change all the input fields, like video links, maximum comments per video, and more, to match your specific use case.

Receive the "Scrape Top TikTok Comments and Replies" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as type, avatar, commenter, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Scrape Top TikTok Comments and Replies" task via API.

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Integrate "Scrape Top TikTok Comments and Replies" into your workflow

Connect "Scrape Top TikTok Comments and Replies" with 100+ integrations, or run it via API or MCP.

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