YouTube Comments Scraper: The Fastest, Cheapest, and Most Reliable YouTube Comments Scraper on Apify

Our YouTube Comments Scraper is the most affordable, efficient, and dependable tool on Apify for scraping YouTube comments. Whether you're analyzing audience engagement, tracking sentiment, or building a comment database, this scraper does all the hard work at a fraction of the cost and in record time. Here's how to get started:

🚀 How to Use:

To begin, you'll need to provide a list of YouTube video URLs for which you want to retrieve the comments. Simply input an array of video URLs and specify the total number of comments you wish to scrape.

Input:

• Start URLs (video_urls): An array of YouTube video URLs you want to scrape comments from.
• Total Comments: Specify how many total comments you’d like to retrieve (across multiple videos, if applicable).

Once your input is set, let our scraper fetch the data!

📊 Data Fields Explained: A Breakdown of Each Column

Here’s a deep dive into the data returned by the scraper:

💬 Comment Identification

• cid: The unique comment ID for each comment.
• replyToCid: If the comment is a reply to another comment, this field will contain the ID of the parent comment.
• type: Whether the data represents a comment or a reply.

📅 Timing Information

• publishedTimeText: The time when the comment was published, formatted as text (e.g., "2 hours ago").

📝 Comment Content

• comment: The actual content of the comment.
• author: The name of the user who wrote the comment.
• authorIsChannelOwner: A boolean field indicating whether the author is the owner of the channel (true/false).

📊 Engagement Metrics

• replyCount: The number of replies this comment has received.
• voteCount: The number of likes or upvotes the comment has received.
• hasCreatorHeart: Indicates whether the channel owner has "hearted" the comment (a special form of approval from the creator).

🎥 Video Details

• videoId: The unique identifier for the YouTube video the comment belongs to.
• pageUrl: The URL of the YouTube video page.
• commentsCount: The total number of comments for the video.

🎥 Video Metadata

• title: The title of the video the comment is associated with.

🔗 Direct Access:

• pageUrl: Direct link to the YouTube video where the comment was posted.

📈 Use Cases:

• Audience Insights: Track how users interact with a video by analyzing comment volume and engagement metrics.
• Sentiment Analysis: Identify trending sentiments by reviewing the content of comments and replies.
• Creator Interaction: Monitor if and how the video creator interacts with their audience through "hearts" or replies.

💡 Key Benefits:

• Automate the extraction of comments from YouTube videos.
• Analyze comment metrics to understand video performance and audience interaction.
• Access detailed comment data that can be integrated into your analysis tools for deeper insights.

By using this scraper, you gain powerful access to YouTube comments, helping you better understand your audience and optimize your content strategies! 🚀