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Free YouTube Tool
Free YouTube Comment Scraper
Extract and export comments from any public YouTube video at scale. Bulk scraping, structured data output, and no API key required.
Need bulk scraping or API access? Get the Chrome extension or try TubeHarvest Cloud.
How it works
How the YouTube Comment Scraper Works
No API key setup, no Python scripts, no pagination code. Paste a URL, configure your extraction, and download structured comment data in seconds.
1
Paste one or multiple YouTube URLs
Drop in a single video URL, a channel link, or a playlist. The scraper resolves all of them and queues every video for extraction.
2
Configure extraction settings
Choose whether to include reply threads, set comment limits, pick your export format, and decide if author names should be anonymised.
3
Export structured comment data
Download a clean CSV or JSON file with every field intact: author, text, likes, timestamps, reply depth, and more.
Under the hood
The scraper resolves your YouTube URL, identifies the video ID, and walks through the comment pagination layer automatically. It extracts every public comment and reply thread, normalises the data into a flat table structure, and hands you a clean export. No coding-based scraping knowledge is needed. The entire pipeline runs server-side so you do not need to install dependencies, manage browser automation, or handle rate limits yourself.
No API key needed
Scraping YouTube Comments Without the API
The YouTube Data API was built for developers, not researchers. This tool removes every barrier between you and the comment data you need.
10,000 unit daily quota
The YouTube Data API enforces a hard daily cap of 10,000 quota units. A single commentThreads.list call costs 1 unit, but reply threads, pagination, and video lookups add up fast. Heavy research hits the wall within hours.
API key and OAuth setup
Before you fetch a single comment through the official API, you need a Google Cloud project, API credentials, and OAuth consent configuration. That is 15 to 30 minutes of setup before any data flows.
Pagination code required
The API returns comments in pages of 20 to 100. Fetching a full thread means writing a loop, managing page tokens, and handling nested reply endpoints separately. This tool does all of that for you.
TubeHarvest abstracts the API, the pagination, and the credential setup into a single paste-and-export workflow. You get the same structured data without writing a line of code.
Bulk extraction
Bulk Comment Scraping: Multiple Videos, Channels, and Playlists
Most comment scrapers handle one video at a time. TubeHarvest lets you scrape across an entire channel or playlist in a single batch.
Single video
Paste one URL, get one export
The simplest workflow. Drop in a video URL, scrape every comment and reply, and download a structured CSV. Best for focused research on a single piece of content.
Channel batch
Scrape an entire channel
Paste a channel URL to load the video list. Select the videos worth scraping, then run a batch job. Each video gets its own CSV inside a ZIP download.
Playlist batch
Scrape a full playlist
Drop in a playlist URL and let the scraper resolve every video. Choose which ones to include, then export comment data across the entire set in one go.
Bulk scraping is the feature most competitors gate behind expensive plans. TubeHarvest Cloud Pro includes it by default.
Structured data
YouTube Comment Data Fields You Can Extract
Every export includes the full set of fields below. Structured, consistent, and ready for analysis or machine learning pipelines.
✓
Comment text
The full comment body, including line breaks and emoji. No truncation.
✓
Author name
The display name of the commenter, with optional anonymisation for research exports.
✓
Author channel URL
Direct link to the commenter's YouTube channel for follow-up research.
✓
Published timestamp
ISO 8601 date so you can sort chronologically or measure recency.
✓
Like count
Number of likes on the comment, useful for ranking by community agreement.
✓
Reply count
How many replies sit beneath the comment, signalling discussion depth.
✓
Thread nesting
Whether the row is a top-level comment or a reply, plus the parent author for context.
✓
Author verification
Flags for verified accounts and whether the author is the video creator.
Use cases
What People Do With Scraped YouTube Comments
Comment data becomes valuable the moment it leaves YouTube and enters your workflow. Here is what researchers, marketers, and developers build with it.
Research
Sentiment analysis
Feed structured comment data into NLP pipelines to measure audience sentiment toward products, features, or creators at scale.
Marketing
Market research
Extract the exact words your target audience uses to describe problems and desired outcomes. Use them directly in ad copy and landing pages.
Research
Academic research
Build datasets from public discourse for social science, media studies, or linguistics research with properly structured, timestamped data.
Marketing
Competitor intelligence
Scrape competitor video comments to discover what their audience praises, complains about, and wishes existed.
ML
Training datasets
Collect labelled comment data for fine-tuning classifiers, spam detectors, or language models on real YouTube discourse.
Marketing
Brand monitoring
Track mentions, complaints, and praise across videos in your niche. Catch reputation signals before they escalate.
Comparison
YouTube Comment Scraper vs Python Scripts vs API
Three ways to get YouTube comment data. This tool is the fastest path to structured exports. Python gives you full customisation. The official API gives you sanctioned access with hard limits.
| TubeHarvest | Python script | YouTube Data API | |
|---|---|---|---|
| Setup time | Under 30 seconds | 30–60 minutes | 15–30 minutes |
| Coding required | None | Python knowledge | API integration |
| API key needed | No | Usually yes | Yes |
| Daily quota limits | No quota | API quota applies | 10,000 units/day |
| Bulk scraping | Channels & playlists | Custom scripting | Manual pagination |
| Reply threads | Included | Extra code needed | Separate endpoint |
| Export format | CSV & JSON | Custom output | JSON (raw) |
| Best for | Speed & ease | Full customisation | Official access |
For most use cases, TubeHarvest gets you from URL to export in under a minute. Use Python when you need custom transformation logic. Use the official API when your project requires sanctioned access and you have engineering resources to manage the integration.
When you need more
When 250 comments is not enough.
The free tool previews one video per day. TubeHarvest unlocks unlimited scraping, channel-level batch exports, and ZIP downloads with full metadata.
- ✓ Scrape unlimited comments per video with Local or Cloud
- ✓ Batch scrape entire channels and playlists with Cloud Pro
- ✓ Export structured CSVs or ZIP bundles with full metadata
- ✓ Anonymize exports by default for safe internal sharing
FAQ
Frequently asked questions about scraping YouTube comments.
How do I scrape YouTube comments for free?
Paste any public YouTube video URL into the tool above and click Scrape comments. The free tier extracts up to 250 comments with full metadata and exports a CSV. No sign-up, no API key, and no code required.
Can I scrape YouTube comments without coding?
Yes. This tool handles the entire extraction pipeline in the browser. You paste a URL, the scraper fetches the comments, and you download a structured CSV. There is no Python, no terminal, and no API configuration involved.
Is scraping YouTube comments legal?
Scraping publicly available YouTube comments for personal research, academic analysis, or business intelligence is generally permissible. TubeHarvest only accesses public data and includes anonymisation by default to support responsible use.
How many comments can I scrape at once?
The free tool on this page extracts up to 250 comments per video per day. TubeHarvest Local and Cloud remove that cap, letting you scrape every comment on a video regardless of thread length.
Can I scrape comments from multiple videos at the same time?
Yes. TubeHarvest Cloud Pro supports batch scraping. Paste a channel or playlist URL, select the videos you want, and export comments from all of them in a single run. Each video gets its own CSV inside a ZIP.
What format does the scraped data come in?
The default export is CSV with columns for author, comment text, like count, reply count, published timestamp, author channel URL, thread type, and verification status. The structure is ready for spreadsheets, databases, or data analysis tools.
Do I need a YouTube API key to scrape comments?
No. TubeHarvest handles extraction without requiring your own API credentials. You skip the Google Cloud setup, the quota management, and the OAuth configuration entirely.
Can I scrape reply threads and nested comments?
Yes. The scraper extracts both top-level comments and their reply threads. Each row in the export is tagged as either a comment or a reply, with the parent author identified so you can reconstruct full conversation threads.
Does this work with YouTube Shorts and live streams?
The scraper works with any public YouTube URL that has a comment section, including standard videos and Shorts. Live stream chat replays are not currently supported, but archived comments on live stream recordings can be scraped.
How is this different from using the YouTube Data API?
The YouTube Data API requires a Google Cloud project, an API key, OAuth setup, and coding to handle pagination. It also enforces a 10,000 unit daily quota. This tool abstracts all of that into a paste-and-export workflow with no quota to manage.
Can I use scraped YouTube comments for sentiment analysis?
Absolutely. The structured CSV output is designed for downstream analysis. Import it into Python, R, or any NLP tool. The like count and reply depth fields add extra signal for weighting sentiment scores.
Can I scrape comments from a private or unlisted video?
No. The scraper only accesses publicly available comments. Private videos and unlisted videos that require a direct link with restricted comment visibility cannot be scraped.
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