YouTube Comments Scraper

Preview of YouTube comment data you can extract — including comment text, author name, timestamp, and like count.

Loading data...

This is a 3-row preview. You can download the full dataset with 100 free rows below.

Why Use YouTube Comments Scraper?

Extract public comments from any YouTube video and analyze audience feedback at scale. Just provide the video URL — and get clean, structured data with authors, timestamps, and comment text.

This tool is perfect for sentiment analysis, content research, or understanding viewer reactions — no coding or API key required.

Scrape all comments from any YouTube video

Includes usernames, timestamps, likes, and replies

Supports videos in any language or region

Ideal for audience research and trend analysis

Export data in CSV, Excel, or JSON format

How YouTube Comments Scraper Works

Step 1

Enter YouTube URL

Paste the link to the YouTube video from which you want to scrape comments. No API key or login required.

Step 2

Set Preferences

Optionally filter by language, sort order, or number of comments. Our scraper will fetch clean, structured data.

Step 3

Download the Results

Export the full list of comments — including authors, timestamps, likes, and replies — in CSV, Excel, or JSON format.

Why Use Our YouTube Comments Scraper

Our YouTube comments scraper turns public youtube comments into clean, analysis-ready datasets for audience research, sentiment, and content strategy. If you’re wondering how to export all youtube comments, we make it simple—submit video IDs, run, and review structured results.

How this service helps

Modern, resilient collection
Cloud-scaled pipeline with smart retries and throttling to reliably scrape youtube comments across large batches of videos—no manual babysitting.
Rich, well-structured schema
Columns include: id, Title, VideoId, Cid, Author, AuthorChannelId, AuthorAvatarUrl, Comment, VoteCount, ReplyCount, PublishedTime, IsReply, IsVerified, IsCurrentUser, IsCreator, IsArtist, ReplyToCid, Heart.
Speed to insight
Go from raw discussion to actionable findings in minutes—plug the data into your BI, NLP, and research workflows without custom scripts.
Predictable budgets (pay-per-row)
Transparent pricing at $0.001 per row—no subscriptions. Pay only for the rows you actually receive.
Scalable by design
Submit hundreds of video IDs at once, re-run the same preset to refresh datasets, and compare engagement trends over time.
Sharper research & prioritization
Target time windows, focus on replies only, or sort by like counts to surface high-signal threads first.
Easy handoff
Download in common formats for smooth handoff to analysts, clients, and stakeholders when needed.
Public-data, compliance-aware approach
We work with publicly available content; you control downstream use in line with local regulations and platform policies.

Why choose YouTube Comments with RRT

Straightforward “scrape youtube comments” workflows—no devops, no proxies to manage.
Consistent schemas across batches enable clean comparisons between videos and channels.
Easy to schedule repeat runs for trend tracking and longitudinal studies.
Clear pay-per-row economics eliminate subscription lock-ins and simplify cost control.
Fast path for “how to export all youtube comments” use cases—at scale.
Support for large video sets without sacrificing reliability.

That’s why our service will be useful to you.

Use Cases & Industries

Our scraping tool is trusted by professionals across multiple industries to power insights, automation, and decisions.

Market Research

Analyze local businesses, competitors, and trends with real-time location data.

Geospatial Analytics

Plot POIs on maps for logistics, planning, and expansion strategies.

Local SEO & Lead Gen

Scrape target areas for contact data to boost campaigns or outreach.

B2B Sales Intelligence

Find and qualify business leads by category, location, and service area.

Franchise & Retail Planning

Explore underserved regions or locate potential partners and sites.

Consultants & Analysts

Offer insights or build custom data-driven tools for clients.

What You Can Do with YouTube Comments

Our youtube comment scraper turns public youtube comments into a structured dataset for research, strategy, and reporting. We capture: id, Title, VideoId, Cid, Author, AuthorChannelId, AuthorAvatarUrl, Comment, VoteCount, ReplyCount, PublishedTime, IsReply, IsVerified, IsCurrentUser, IsCreator, IsArtist, ReplyToCid, Heart. Use filters such as time ranges (PublishedTime), replies-only (IsReply), or engagement (VoteCount/ReplyCount) to scrape youtube comments exactly as you need.

Audience Research & Sentiment

Map recurring themes and emotions in youtube comments to understand what viewers love or dislike. Track shifts in tone after product launches, content changes, or PR events.

Content Strategy & Topic Discovery

Mine Comment, VoteCount and ReplyCount to find high-signal topics, FAQs, and objections. Turn repeated pain points into scripts, descriptions, and on-page content.

Competitive Benchmarking

Compare engagement patterns across videos/channels using Title, VideoId and AuthorChannelId. Identify which formats spark the most replies and which topics sustain discussion.

Campaign Tracking & Before/After

Use PublishedTime windows to measure the lift in comment volume, positivity, and questions during a campaign. Re-run the same preset to create clean, comparable time series.

Moderation & Community Health

Spot volatile threads early by sorting on VoteCount and ReplyCount. Filter IsReply to analyze discussion depth and identify helpful contributors or potential issues.

Creator Insights & Personalization

Leverage IsCreator/IsVerified/IsArtist to separate creator posts and official responses from general chatter, refining how you attribute and analyze conversations.

NLP, Topic Modeling & Embeddings

Feed Comment text into clustering, topic modeling, or embeddings to quantify themes at scale. Build dashboards that trend issues and opportunities across multiple videos.

Exports & Integrations

Hand off results in common formats (CSV/Excel/JSON) or push into your BI, research notebooks, or warehouse. Stable IDs (Cid, VideoId) make joining and deduping straightforward.

Compliance & Responsible Use

We provide publicly available content in a structured format. Use it responsibly, respect platform policies and regional regulations, and honor opt-out requests.

Use our data in ways even we haven’t imagined — plug it into your workflows, mix with any tools, and turn hours into minutes. Save time and money with our service.

Pricing Calculator

No subscriptions. No plans. Pay only for what you use.

Affordable data extraction — just $0.001 per row!

Typical tasks:

20k Google Maps rows ≈ $20
100k YouTube comments ≈ $100
250k Reddit comments ≈ $250

Each row includes platform-specific fields — e.g. Maps (name, phone, website, address), YouTube (text, author, likes), Reddit (title/text, author, score), and so on.

Rows:

Price:

Estimated scraping time: a few seconds

Safe payments via Stripe

Why Choose Red Rock Tech?

Fast Delivery

Download your data instantly — no waiting or emails.

Accurate Geodata

Each row includes precise coordinates and full address.

Transparent Pricing

No subscriptions, pay only for the data you need.

Smart Filters

Narrow down results by city, category, or country.

Ready to Use

Export in CSV or JSON format, perfect for devs & analysts.

Verified Results

We clean and verify all data before delivery.

Frequently
Asked
Questions

id, Title, VideoId, Cid, Author, AuthorChannelId, AuthorAvatarUrl, Comment, VoteCount, ReplyCount, PublishedTime, IsReply, IsVerified, IsCurrentUser, IsCreator, IsArtist, ReplyToCid, Heart.

Provide video URLs or VideoIds. You can batch multiple videos in one run to scrape youtube comments at scale.

Yes. Use min_comment_date/time windows, set a minimum like threshold, and cap maximum comments and replies per video to control volume.

No. Configure everything in a guided UI—paste video IDs, set filters, run, and download structured results.

CSV, XLSX, JSON.

Absolutely. Our youtube comment scraper outputs clean datasets ready for NLP, dashboards, and competitor/content analysis.

No subscriptions — you pay per row of returned comments.

We work with publicly available youtube comments. Use results responsibly and follow platform policies and regional regulations.

Explore Other Scrapers

YouTube Video Scraper

Collect video metadata (title, description, tags, views, likes, publish date, duration) to track performance and research competitors.

YouTube Channel Scraper

Extract channel profile, stats, links, and recent uploads for influencer vetting and competitor monitoring.

TikTok Comments Scraper

Analyze comment threads on TikTok to compare audience tone and topics across platforms.

Ready to Get Started?

Launch your first scrape in seconds. No sign-up loops. No subscriptions. Just precise data — when you need it.