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YouTube Video Comments & Replies — iPhone 17 Pro Review

Export the comments and replies under a YouTube product review for sentiment analysis and audience feedback, here the viral HTX Studio review of the iPhone 17 Pro. Each row has the comment text, author name and channel link, likes, reply count, pinned and creator-heart flags and an estimated post date, ready for CSV or Excel.

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💬 YouTube Comments Scraper
💬 YouTube Comments Scraperdata_minds/youtube-comments-scraper
Type
👤 Author
💬 Comment
🕒 Posted
+4 fields
Text
Number
Boolean
List
Object

Input

🔗 YouTube Video URLs(required):https://www.youtube.com/watch?v=zC7IIJCz8Dw
🔢 Max comments per video:20
🔃 Sort comments by:TOP_COMMENTS
↩️ Include replies:true
🔁 Max replies per comment:1
🗣️ Language code (hl):en

Output fields

Type
👤 Author
💬 Comment
🕒 Posted
👍 Likes
↩️ Replies
📌 Pinned
🎬 Video

How it works

Sign up on Apify or log in

The 💬 YouTube Comments Scraper Actor is ready to run with the inputs already set for "YouTube Video Comments & Replies — iPhone 17 Pro Review". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "YouTube Video Comments & Replies — iPhone 17 Pro Review" task

The 💬 YouTube Comments Scraper Actor will start running based on the input automatically. You can also change all the input fields, like 🔗 youtube video urls, 🔢 max comments per video, and more, to match your specific use case.

Receive the "YouTube Video Comments & Replies — iPhone 17 Pro Review" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as type, 👤 author, 💬 comment, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "YouTube Video Comments & Replies — iPhone 17 Pro Review" task via API.

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