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Tiktok Comment Scraper

Try for free

Collect comments and replies from public TikTok posts in a clean, ready-to-use dataset. Supports video posts, photo posts, multiple URLs per run, and short links.

Pricing

from $0.40 / 1,000 results

Rating

5.0

(1)

Developer

Rush

Actor stats

Bookmarked

Total users

Monthly active users

7 days ago

Last modified

Categories

Social media

Agents

Comment ID

commentId

Required

Unique identifier of the comment

Type:string

Comment Text

text

Required

The comment text content

Type:string

Created At

createTime

Required

When the comment was posted (ISO 8601)

Type:string | null

Likes

likeCount

Required

Number of likes on the comment

Type:integer

Reply Count

replyCount

Required

Number of replies to this comment

Type:integer

Is Pinned

isPinned

Required

Whether the comment is pinned by the post author

Type:boolean

Liked by Author

isAuthorLiked

Required

Whether the post author liked this comment

Type:boolean

User ID

userId

Required

Unique identifier of the comment author

Type:string

Username

username

Required

TikTok username of the comment author

Type:string

Nickname

nickname

Required

Display name of the comment author

Type:string

Avatar URL

avatarUrl

Required

URL of the comment author's profile picture

Type:string

Profile URL

profileUrl

Required

URL of the comment author's TikTok profile

Type:string

Is Verified

isVerified

Required

Whether the comment author is verified

Type:boolean

Parent Comment ID

parentCommentId

Required

ID of the parent comment (null for top-level comments)

Type:string | null

Is Reply

isReply

Required

Whether this is a reply to another comment

Type:boolean

Post ID

videoId

Required

ID of the source TikTok post

Type:string

Post URL

videoUrl

Required

URL of the source TikTok post

Type:string

Collected At

collectedAt

Required

When this data was collected (ISO 8601)

Type:string

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Extract TikTok video comments with comprehensive metadata including user profiles, engagement metrics, and reply information. Perfect for sentiment analysis, audience research, and content feedback analysis. Supports pagination for large-scale data collection.