YouTube Comments - Comments & Replies avatar

YouTube Comments - Comments & Replies

Pricing

$0.50 / 1,000 comment results

Go to Apify Store
YouTube Comments - Comments & Replies

YouTube Comments - Comments & Replies

Extract public YouTube comments and optional replies as clean rows with success-only pay-per-result billing.

Pricing

$0.50 / 1,000 comment results

Rating

0.0

(0)

Developer

Bin Bin

Bin Bin

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

3 days ago

Last modified

Share

YouTube Comments

Turn public YouTube video URLs into clean comment and reply rows for research, moderation analysis, VOC work, or API workflows.

Input

  • urls: 1–20 YouTube video URLs or IDs.
  • maxComments: maximum delivered comment/reply rows per video, up to 1000.
  • includeReplies: include available replies as separate rows.
  • sortBy: TOP_COMMENTS or NEWEST_FIRST.

Output

Each delivered row includes video ID, comment ID, optional parent comment ID, reply flag, author fields, clean text, likes and published-time text. Replies are linked to their parent comment instead of being mixed into one text blob.

Billing

PPE event: comment-result.

Each comment or reply is charged only after that row is successfully written to the dataset. A hard video-level failure produces one diagnostic FAILED row and no PPE event. The Actor code does not add a separate start charge.

Scope

This Actor focuses only on the job video URL → comments/replies. It does not fetch transcripts, search YouTube, or download media.

Reliability and cost controls

  • maxComments limits each video; maxTotalResults limits the whole run (default 1,000, maximum 10,000).
  • Temporary provider failures are retried once. If a later page or reply expansion fails, already collected comments remain usable and the run reports a partial warning.
  • Comment/reply rows are charged only after storage. Failed inputs, skipped inputs, warnings and retry attempts are free.

Family recipes

Pair Comments with Transcript for content-and-response analysis, or with Channel Videos/Search/Playlist/Shorts to build a source list before collecting reactions.