💬 YouTube Comments Scraper

🚀 Collect comments and replies from YouTube videos in minutes. Paste video URLs and export comment text, authors, likes, timestamps, and reply threads. Optional AI sentiment analysis. No coding, no YouTube API key.

🕒 Last updated: 2026-04-23 · 📊 15+ fields per comment · 💬 Replies included · 🤖 AI sentiment · 🚫 No auth required

The YouTube Comments Scraper collects comment data from any public YouTube video, returning 15+ fields per comment: author name, comment text, like count, reply count, timestamp, and full reply threads. Optional AI enhancement adds sentiment analysis and topic categorization. Runs support up to 1,000,000 comments on a paid plan.

The Actor accepts video URLs and supports configurable reply depth, per-comment reply limits, and optional AI-powered sentiment analysis.

🎯 Target Audience	💡 Primary Use Cases
Content creators, marketers, brand teams, social media analysts, product teams, academic researchers	Audience feedback analysis, sentiment tracking, community monitoring, content research, competitor analysis

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📋 What the YouTube Comments Scraper does

Video URL input with reply and AI options:

• 🔗 Video URL input. Paste one or more YouTube video URLs.
• 💬 Reply threads. Include nested replies with configurable depth.
• 🔢 Reply limits. Control max replies per top-level comment.
• 🤖 AI enhancement. Optional sentiment analysis and topic categorization.

Each comment record includes author name, author channel URL, comment text, like count, reply count, timestamp, and (when replies enabled) nested reply array with the same fields.

💡 Why it matters: reading through thousands of YouTube comments manually is slow and tedious. This Actor exports structured comment data at scale, ready for sentiment analysis, community feedback reports, or content strategy insights.

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🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough showing how to go from sign-up to a downloaded dataset.

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⚙️ Input

Input	Type	Default	Behavior
startUrls	array	[]	YouTube video URLs.
maxItems	integer	10	Max comments. Free: limited. Paid: up to 1,000,000.
includeReplies	boolean	false	Include reply threads.
maxRepliesPerComment	integer	10	Max replies per top-level comment.
aiEnhancement	boolean	false	Add AI sentiment analysis and topic tags.

Example: top comments from a video with replies.

{
    "startUrls": ["https://www.youtube.com/watch?v=dQw4w9WgXcQ"],
    "maxItems": 100,
    "includeReplies": true,
    "maxRepliesPerComment": 5
}

Example: comments with AI sentiment analysis.

{
    "startUrls": ["https://www.youtube.com/watch?v=abc123"],
    "maxItems": 50,
    "aiEnhancement": true
}

⚠️ Good to Know: some videos have comments disabled. The Actor reports this and moves to the next URL. AI enhancement requires additional processing time per comment.

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📊 Output

Each comment record contains 15+ fields. Download the dataset as CSV, Excel, JSON, or XML.

🧾 Schema

Field	Type	Example
👤 author	string	"TechFan42"
🔗 authorChannelUrl	string	"https://www.youtube.com/@TechFan42"
📝 text	string	"This video changed my perspective on AI."
👍 likeCount	number	234
💬 replyCount	number	12
📅 timestamp	string	"2 weeks ago"
🎬 videoUrl	string	"https://www.youtube.com/watch?v=..."
💬 replies	array | null	[{ author, text, likeCount, timestamp }]
🤖 sentiment	string | null	"positive"
🏷️ topics	array | null	["AI", "technology"]
🕒 scrapedAt	ISO 8601	"2026-04-16T00:00:00.000Z"

📦 Sample records

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✨ Why choose this Actor

	Capability
💬	Full comment threads. Top-level comments plus nested reply threads.
🤖	AI sentiment analysis. Optional sentiment and topic categorization.
👍	Engagement data. Like count and reply count per comment.
👤	Author profiles. Name and channel URL per commenter.
🔢	Configurable reply depth. Control how many replies to fetch per comment.
⚡	Scalable. From 10-comment samples to full video comment archives.
🚫	No authentication. No YouTube API key needed.

📊 YouTube comments contain direct audience feedback, sentiment signals, and community discussion. Structured access to this data powers every content strategy, audience analysis, and brand monitoring workflow.

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📈 How it compares to alternatives

Approach	Cost	Coverage	AI sentiment	Replies	Setup
⭐ YouTube Comments Scraper (this Actor)	$5 free credit, then pay-per-use	Any public video	Optional	Yes, configurable	⚡ 2 min
YouTube Data API	Free (10K quota/day)	Full	No	Yes	⏳ Hours (API key)
Manual reading	Free	Manual	No	Manual	🕒 Hours

Pick this Actor when you want YouTube comment data with optional sentiment analysis, without managing API quotas.

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🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the YouTube Comments Scraper page on the Apify Store.
3. 🎯 Set input. Paste video URLs. Enable replies and/or AI enhancement.
4. 🚀 Run it. Click Start and let the Actor collect your data.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

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💼 Business use cases

📊 Content Strategy Analyze audience feedback on your videos Track sentiment trends across uploads Identify frequently asked questions Study which topics drive engagement	🏢 Brand & Marketing Monitor brand mentions in video comments Track competitor video reception Identify influencer comment engagement Build audience sentiment reports
🎓 Research & Analysis Build comment datasets for NLP research Study community discourse patterns Analyze comment-to-view ratios Track toxicity and moderation trends	🛠️ Product Teams Collect user feedback on product videos Track feature requests in comments Monitor tutorial video effectiveness Build voice-of-customer databases

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🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🎓 Research and academia Empirical datasets for papers, thesis work, and coursework Longitudinal studies tracking changes across snapshots Reproducible research with cited, versioned data pulls Classroom exercises on data analysis and ethical scraping	🎨 Personal and creative Side projects, portfolio demos, and indie app launches Data visualizations, dashboards, and infographics Content research for bloggers, YouTubers, and podcasters Hobbyist collections and personal trackers
🤝 Non-profit and civic Transparency reporting and accountability projects Advocacy campaigns backed by public-interest data Community-run databases for local issues Investigative journalism on public records	🧪 Experimentation Prototype AI and machine-learning pipelines with real data Validate product-market hypotheses before engineering spend Train small domain-specific models on niche corpora Test dashboard concepts with live input

🤖 Ask an AI assistant about this scraper

Open a ready-to-send prompt about this ParseForge actor in the AI of your choice:

• 💬 ChatGPT
• 🧠 Claude
• 🔍 Perplexity
• 🅒 Copilot

❓ Frequently Asked Questions

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🔌 Automating YouTube Comments Scraper

• 🟢 Node.js. Install the apify-client NPM package.
• 🐍 Python. Use the apify-client PyPI package.
• 📚 See the Apify API documentation for full details.

The Apify Schedules feature lets you trigger this Actor on any cron interval.

🔌 Integrate with any app

• Make - Automate workflows
• Zapier - Connect 5,000+ apps
• Slack - Get notifications
• Airbyte - Data pipelines
• GitHub - Trigger from commits
• Google Drive - Export to Sheets

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🔗 Recommended Actors

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• 🐦 X.com Tweets Scraper - Tweet data and metrics
• 📱 Reddit Posts Scraper - Reddit posts

💡 Pro Tip: browse the complete ParseForge collection for more video and social scrapers.

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🆘 Need Help? Open our contact form to request a new scraper, propose a custom data project, or report an issue.

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⚠️ Disclaimer: this Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by YouTube, Google LLC, or Alphabet Inc. All trademarks mentioned are the property of their respective owners. Only publicly available comment data is collected.