Youtube Comments API
Extract YouTube comment data including text, like counts, reply threads, and author info for sentiment analysis and audience research.
Python | 1 | import requests |
| 2 | |
| 3 | root = "https://ensembledata.com/apis" |
| 4 | endpoint = "/youtube/video/comments" |
| 5 | params = { |
| 6 | "id": "cKkb5tperxc", |
| 7 | "cursor": "", |
| 8 | "token": "YOUR-TOKEN-HERE" |
| 9 | } |
| 10 | |
| 11 | res = requests.get(root+endpoint, params=params) |
| 12 | print(res.json()) |
| 13 |
Why Developer Teams Use Our API
Full Comment Threads
Retrieve replies alongside top-level comments to reconstruct entire discussions under a video.
Sentiment Analysis Ready
Comment text arrives clean and structured, ready to feed into NLP or sentiment tools.
Brand Mention Tracking
Filter extracted comment text for keywords to catch mentions of your brand or product.
Bulk Export for Popular Videos
Paginate through thousands of comments on a viral video without hitting a hard cap.
Audience Feedback at Scale
Understand what viewers actually think instead of relying on the like-to-dislike ratio alone.
No Quota Restrictions
Skip YouTube Data API comment quota limits that slow down large-scale collection.
Scrape Youtube Data Effortlessly
Retrieve comment sections in bulk with our YouTube comments API, useful for understanding audience sentiment, tracking feedback, and building research datasets.
Like Count Ranking
Sort YouTube comments by like count to surface the most agreed-with opinions.
Author Channel Data
See which channels are commenting on a video to spot engaged repeat viewers.
Discussion Trend Tracking
Poll a video's comments over time to watch how audience sentiment shifts.
Youtube Scraping Features
Get a clear picture of how audiences feel about any YouTube video or channel by analyzing comment data at scale.
- Sort comments by like count or recency, matching the two sort options YouTube itself offers.
- Flag pinned comments and creator replies separately from ordinary audience comments.
- Reconstruct nested reply threads under top-level comments for full conversation context.
- Paginate through thousands of comments on a viral video without hitting a hard cap.
- Skip YouTube Data API comment quota limits that slow down large-scale collection.
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Contact usFrequently Asked Questions
It returns comment text, author information, like counts, and reply threads for a given YouTube video.
Yes, the endpoint paginates through all publicly visible comments, so you can collect the full comment section even on popular videos.
Yes, comment text and metadata are commonly fed into sentiment analysis or NLP pipelines to understand audience reaction to a video.
Yes, replies are included, letting you reconstruct full comment conversations.
Yes, a sort parameter lets you choose between top comments, ranked by likes, and most recent, matching the two sort options YouTube itself offers.
Yes, both a pinned flag and an author-is-channel-owner flag are included on each comment, useful for separating creator responses from audience comments.
No, this endpoint covers standard video comments only; live chat replay data isn't included and would need to be captured during the stream itself.
Either works; pass the video ID directly or the full watch URL and the endpoint resolves it the same way.
Yes, many customers pull comment text at scale and filter it for brand keywords to monitor mentions and community sentiment.