[YouTube] Fetch Comments
The [YouTube] Fetch Comments block retrieves comments from a specified YouTube video and makes them available for use in downstream workflow steps.
Retrieve comments from any YouTube video
The [YouTube] Fetch Comments block retrieves comments from a specified YouTube video and makes them available for use in downstream workflow steps. You provide a YouTube video URL, choose how many pages of comments to fetch (between 1 and 5 pages), and select whether the output should be formatted as plain markdown text or structured JSON. The block then collects comments and stores them in a variable of your choosing.
Each comment in the output includes fields such as the comment text, author name, author profile link, author image, publish date, number of likes, number of replies, a direct link to the comment, and a unique comment ID. This structured data gives downstream blocks a complete picture of each comment and its engagement metrics.
This block fits into workflows that involve analyzing audience sentiment, summarizing viewer feedback, moderating content, or generating reports based on YouTube engagement. It can be paired with AI analysis blocks to classify or summarize comments, or with data export blocks to log comment data for further processing.
What you can build
Real-world workflows powered by the [YouTube] Fetch Comments block.
Audience Sentiment Analysis
Fetch comments from a YouTube video and pass them to an AI block to classify viewer sentiment as positive, negative, or neutral.
Comment Moderation Workflow
Retrieve comments and use an AI block to flag potentially harmful or policy-violating content for human review.
Video Feedback Summarization
Pull comments from a video and generate a concise summary of viewer feedback to inform content creators.
Competitor Content Research
Collect comments from competitor videos to identify common viewer questions, complaints, or requests.
Engagement Metrics Reporting
Extract comment data including likes and reply counts to build engagement reports for a given video.
FAQ Generation from Comments
Fetch viewer comments and use an AI block to identify recurring questions, then generate a structured FAQ document.
Ready to add [YouTube] Fetch Comments to your workflow?
Get Started FreeCommon questions about [YouTube] Fetch Comments
What are the required parameters for this block?
The only required parameter is the YouTube video URL. You can also optionally specify a destination variable to store the output, choose an export format (text or JSON), and set the maximum number of pages to fetch, which ranges from 1 to 5.
What does the block return for each comment?
Each comment in the output includes the comment ID, a direct link to the comment, the published date, the comment text, the number of likes, the number of replies, the author's name, the author's profile link, and the author's profile image URL.
What is the difference between the text and JSON export types?
Selecting 'text' produces a markdown-formatted string of the comments, while selecting 'json' produces structured comment data as a JSON array. JSON is better suited for workflows that need to process individual comment fields, while text may be more convenient for passing directly to an AI or display block.
How many comments can this block retrieve?
The block paginates through comments and supports fetching between 1 and 5 pages of results, as controlled by the limitPages parameter.
What kinds of workflows commonly use this block?
This block is commonly used in workflows involving sentiment analysis, content moderation, viewer feedback summarization, competitor research, and engagement reporting. It is typically paired with AI analysis blocks or data export blocks that process the retrieved comment data.
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Add [YouTube] Fetch Comments to your workflow
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