Pricing

from $4.99 / 1,000 results

YouTube Comments Scraper: Comment Analytics & Keyword Search

YouTube Comments Scraper: Extract comments by keyword with authors, text, timestamps, likes, replies, and engagement data. Analyze audience sentiment, recurring topics, viewer feedback, and comment trends to support content research, competitor analysis, and YouTube marketing.

Pricing

from $4.99 / 1,000 results

Rating

0.0

(0)

Developer

API Empire

Actor stats

Bookmarked

Total users

Monthly active users

8 days ago

Last modified

Categories

Agents

Videos

Social media

🎯 Videos, Channels & Playlists

targetUrls

Optional

📋 Add YouTube video URLs or 11-char video IDs, CHANNEL URLs (e.g. https://www.youtube.com/@MrBeast or /channel/UC...), or PLAYLIST URLs (e.g. https://www.youtube.com/playlist?list=...). Channels and playlists are auto-detected and expanded to their member videos from the channel's Videos tab / the playlist's video list (capped by Max Videos per Channel/Playlist below); comments are then scraped from every resolved video. (Base key startUrls is still accepted as a fallback.)

Type:array

📊 Max Comments per Video

commentLimit

Optional

🔢 Maximum number of comments to FETCH per video (0 = no limit / all available). This is the fetch budget the engagement/date/keyword filters below then narrow down — filters never make the actor fetch fewer comments, only push fewer rows. (Base key maxComments still works.)

Type:integer

Minimum:0

📑 Comment Sort Order

commentOrder

Optional

⬆️ top — most liked/relevant first (YouTube default). newest — most recent first. (Base key sortOrder still works.)

Type:string

Options:

topnewest

👍 Minimum Likes

minLikes

Optional

🚦 Drop comments with fewer than this many likes (voteCount). Example: minLikes=10 keeps only comments with 10+ likes. Default 0 = no floor. Verified live: a real run drops every low-like comment and keeps only qualifying ones.

Type:integer

Minimum:0

Default:0

↩️ Minimum Reply Count

minReplyCount

Optional

🚦 Drop comments with fewer than this many replies. Example: minReplyCount=2 keeps only comments with 2+ replies. Default 0 = no floor.

Type:integer

Minimum:0

Default:0

📅 Oldest Comment Date

oldestCommentDate

Optional

⏳ Only keep comments published ON OR AFTER this date. Accepts an ABSOLUTE date (e.g. 2026-06-01) OR a RELATIVE shorthand (e.g. '2 weeks', '3 months', '1 year'). Because YouTube's comment API never returns an exact timestamp — only relative text like '2 weeks ago' — the actual comparison date is an ESTIMATE anchored to the run's scrapedAt time; every row carries dateEstimated:true, never presented as exact.

Type:string

📅 Newest / Cutoff Comment Date

newestCommentDate

Optional

⏳ Only keep comments published ON OR BEFORE this date (upper bound — useful to exclude very recent chatter or bound a historical window). Same absolute-or-relative + estimated-date rules as Oldest Comment Date above.

Type:string

🔍 Keyword Search

keywordSearch

Optional

✅ Only keep comments containing AT LEAST ONE of these keywords/phrases (case-insensitive). Leave empty to keep all comments (subject to the other filters). Example: ["love it", "amazing"].

Type:array

🚫 Exclude Keywords

excludeKeywords

Optional

❌ Drop any comment containing ANY of these keywords/phrases (case-insensitive), e.g. spam/profanity terms. Example: ["subscribe to my channel", "http"].

Type:array

📺 Max Videos per Channel

maxVideosPerChannel

Optional

🔢 When a CHANNEL URL is provided, expand at most this many videos from its Videos tab before scraping comments on each. Default 5.

Type:integer

Minimum:0

Default:5

🎞️ Max Videos per Playlist

maxVideosPerPlaylist

Optional

🔢 When a PLAYLIST URL is provided, expand at most this many member videos (0 = all) before scraping comments on each. Default 10.

Type:integer

Minimum:0

Default:10

🧮 Include Per-Video Engagement Rollup

includeVideoRollup

Optional

📈 Emit one extra summary row per video (type="video_rollup") with avgLikesPerComment, replyRatio, and the topComment by likes — computed over ALL comments fetched for that video (independent of the filters above), for at-a-glance brand/community monitoring across many videos. Default on.

Type:boolean

Default:true

🌐 Proxy Settings

proxySettings

Optional

🛡️ Configure proxy settings for scraping. By default, no proxy is used. If you encounter rate limits or blocks, enable Apify Proxy — the actor automatically escalates none → datacenter → residential on a block. (Base key proxyConfiguration still works.)

Type:object

🌍 Comment Language (hl)

commentLanguage

Optional

🈺 Language code passed to YouTube for the comment request (affects relative-time phrasing like 'ago'). Default en-GB. (Base key language still works.)

Type:string

🌎 Comment Region (gl)

commentRegion

Optional

🈺 Region code passed to YouTube for the comment request. Default US. (Base key region still works.)

Type:string

YouTube Comments Scraper With Commenter Lead Enrichment

simpleapi/youtube-comments-scraper

YouTube Comments Scraper extracts comments from any YouTube video, capturing usernames, text, timestamps, likes, replies, and comment IDs. Ideal for sentiment analysis, audience research, trend monitoring, and automating structured YouTube comment data collection at scale

SimpleAPI

YouTube Comments Scraper

scrapier/youtube-comments-scraper

Scrape YouTube video comments easily with the YouTube Comments Scraper. Extract usernames, comment text, timestamps, likes, and replies. Ideal for sentiment analysis, trend tracking, and audience research. Fast, reliable, and customizable for any video or channel URL.

Scrapier

5.0

YouTube Comments & Replies Scraper

scraper-engine/youtube-comments-scraper

YouTube Comments & Replies Scraper extracts comments from any public YouTube video or channel. Gather usernames, timestamps, likes, replies, and full comment text. Ideal for sentiment analysis, audience research, or content insights. Export clean structured data in JSON, CSV, or Excel.

Scraper Engine

301

5.0

Youtube Comments Scraper

scraper_one/youtube-comments-scraper

Extract comments from YouTube videos based on provided video URLs. Retrieve comment text, author info, timestamp, likes, and more. Perfect for audience sentiment analysis, content feedback tracking, and YouTube engagement monitoring.

Scraper One

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YouTube Comments Scraper 📺💬

easyapi/youtube-comments-scraper

Scrape YouTube video comments efficiently with pagination support. Extract comprehensive comment data including text, author, likes, and timestamps for any YouTube video URL.

EasyApi

Youtube Comments Scraper

scrapers-hub/youtube-comments-scraper

YouTube comments scraper to collect comments, replies, and user data from YouTube videos 💬📊 Ideal for sentiment analysis, audience insights, and research. Fast, accurate, and scalable.

Scrapers Hub

YouTube Comments

s-r/youtube-comments

YouTube Comments Scraper

automationagents/youtube-video-comment-scraper

Extract comments from any YouTube video with author, text, and engagement details. Great for audience and sentiment research.

Alex Jordan

YouTube Comment Scraper

myagizm/youtube-comment-scraper

Scrape YouTube video comments — author, text, likes, replies, timestamps. No login, no API key.

MYM

Best Youtube Comments Scraper

scrape-creators/best-youtube-comments-scraper

Scrape YouTube comments fast and at scale. Extract comment text, likes, author info, timestamps, and replies from any video. Export to JSON, CSV. Perfect for sentiment analysis, research, or content strategy. Just $1 per 1,000 comments.