Creator teams
Audience insight
Export comments from launch videos, tutorials, or community posts in video form, then group repeated questions, complaints, and feature requests with the source video attached.
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This YouTube comments scraper collects visible comment rows and video-level details from one or more YouTube video URLs, then exports them to CSV. Import the workflow into the UScraper local desktop app to capture titles, views, publish dates, channels, subscriber text, descriptions, comment authors, comment text, likes, video URLs, and video IDs without building against the YouTube Data API.
CSV
14
Multi-URL
Loaded comments
Not required
At a glance
Comment context in every row
Each exported comment carries the source video's title, view count, date, creator, subscriber text, description, comment count, URL, and video ID so analysts do not have to join files later.
Built for video URL batches
The Navigate block accepts multiple YouTube URLs and the Loop Continue blocks advance the workflow after each video, whether comments were found or the fallback branch had to export video-only fields.
Local desktop workflow
The template writes to your configured save folder in the desktop app. Your URL list and CSV remain local unless you add a separate sharing, upload, or sync step.
Ready for analysis
Use the CSV for audience research, sentiment tagging, moderation review, competitor monitoring, creator reporting, or lightweight AI enrichment.
Who this is for
Creator teams
Audience insight
Export comments from launch videos, tutorials, or community posts in video form, then group repeated questions, complaints, and feature requests with the source video attached.
Marketing analysts
Campaign review
Compare creator videos, sponsored content, and competitor uploads by comment text, visible likes, view count, publish date, and channel metadata.
Researchers
Qualitative coding
Collect public comment samples with repeatable CSV structure before anonymization, labeling, deduplication, or downstream text analysis.
For adjacent YouTube workflows, pair this page with the YouTube Comments Scraper, YouTube Scraper, and YouTube Transcript Scraper. You can also browse the full UScraper template library or install the desktop app from the download page.
How to use
Paste video URLs
Replace the sample Navigate URLs with the YouTube videos you want to review. The workflow is already wired for a multi-input loop, so each URL can become part of one appended CSV.
Confirm the export path
Structured Export writes youtube-details-comments-scraper.csv with headers and append mode enabled. Change the save location before running client, channel, or campaign batches.
Run the load sequence
UScraper sets a large browser window, navigates, waits for the watch page, caches video metadata, pauses the player, handles common consent prompts, scrolls down three times, and expands visible comment text.
Open the output
Review row counts, spot-check a few video IDs, and confirm whether fallback video-only rows appeared for videos with blocked, disabled, or unloaded comments.
Output preview
The export keeps one row per loaded top-level comment when YouTube renders comment threads. Video metadata repeats on each row so a spreadsheet, database import, or AI classifier can work from a single file. When comments are unavailable, the fallback branch writes one row scoped to the page body with blank comment fields.
| title | youtuber | view | author | comment | comment_likes | video_id |
|---|---|---|---|---|---|---|
| Product launch walkthrough | Automation Lab | 24,183 views | Jordan Lee | This answered the pricing question I had. | 18 | WOuzDxHdz6I |
| Customer story interview | Maya Research | 8,492 views | Alex Chen | Can you share the template used in the demo? | 7 | Vjayaft_1Pc |
| Webinar replay | Growth Ops Weekly | 41,020 views | abc123fallback |
youtube-details-comments-scraper.csvColumn
title
Video title from YouTube metadata or the visible H1.
Column
view
Visible or metadata-backed view count text.
Column
date
Publish date from metadata, scripts, or visible watch-page text.
Column
thumbs_up
Visible like label for the video when exposed.
Column
youtuber
Creator or channel name.
Column
subscribers
Visible subscriber count text when YouTube renders it.
Column
description
Video description or short description text.
Column
comment_count
Visible comment count parsed from the comments header.
Column
author
Comment author display name.
Column
comment_date
Visible comment publish label.
Column
comment
Loaded top-level comment text.
Column
comment_likes
Visible like count for the comment.
Column
video_url
Current YouTube video URL.
Column
video_id
Video ID parsed from the URL.
YouTube comments and video metadata can be publicly visible, but automated collection may still be restricted by YouTube terms, robots rules, copyright, privacy law, and local regulations. Do not bypass login, age gates, CAPTCHA, or private access controls, and get legal review before using exports commercially.
Before you run
Operational guardrails for YouTube comment exports
Avoid aggressive repeated runs
YouTube may slow, block, or challenge automated sessions based on traffic volume, IP reputation, browser state, region, and account requirements. Keep batches modest and pause when verification appears.
Selectors can need maintenance
The workflow depends on YouTube watch-page and comment-thread markup. Empty author fields, blank comments, or missing counts usually mean the page layout changed, comments were disabled, or a gate prevented loading.
Use the right access path
For sanctioned, quota-backed production integrations, compare the official YouTube Data API video and comment endpoints. Use this desktop template only where it fits your legal, privacy, and platform-compliance review.
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Available on Windows 10+ and macOS 12+ · Need help? [email protected]