Quickly gather complete YouTube comments with this tool! π Simply drop in video URLs, max comments & receive all the data in a neat JSON format π, including comment content π¬, like counts π, and commenter details π§β. Itβs like having a personal assistant to fetch YouTube data for analysis! π»
The YouTube Comments Scraper is a powerful tool designed to extract detailed data from YouTube comments on videos. By providing the video URL, you can retrieve the following:
1Comment ID π¬ 2Comment Content π 3Publish Date ποΈ 4Channel ID πΊ 5Channel Display Name π€ 6Channel Avatar Thumbnail πΌοΈ 7Like Count π 8Reply Count π 9Verification Status β 10User Status (Current, Creator, Artist) π 11Comment URL π
This scraper allows you to collect key data points from YouTube video comments based on the video URL, with the option to specify the number of comments to retrieve.
Enter Data: Provide the YouTube video URL, specify the maximum number of comments, and start the scraping process.
Start Scraping: Click the "Start" button to begin the scraping process. The tool will retrieve comments based on the provided video URL and criteria.
Download Your Data: After the extraction is complete, you can download the results in various formats such as JSON, CSV, XML, HTML Table, etc.
Scraping YouTube comments is useful for:
1Audience Insights π 2Market Research π 3Content Analysis π 4Sentiment Analysis π‘
This scraper operates on a subscription basis at a cost of $9.90/month.
If you're interested in other YouTube or Facebook scraping solutions, check out these related tools:
To use the YouTube Comments Scraper, provide a JSON object with the following parameters:
1{ 2 "video_url": "https://www.youtube.com/watch?v=XVO3zsHdvio", 3 "max_items": 200 4}
The YouTube Comments Scraper will extract the following information for each comment:
1{ 2 "comment_id": "UgzFyNYivVpL-BTxucl4AaABAg", 3 "content": "\ud83d\udcbb DEVELOPERS, I'M HIRING! Apply here: https://forms.gle/NbLaQNwAE6d9kkWs7
\ud83d\ude80 Wanna start a business with AI Agents? Go here: https://www.skool.com/new-society", 4 "published_time": "1 month ago (edited)", 5 "channel_id": "UCPGrgwfbkjTIgPoOh2q1BAg", 6 "display_name": "@DavidOndrej", 7 "avatar_thumbnail_url": "https://yt3.ggpht.com/Ksq0cOgKhbOuQMtIAjJlmrHSIDNbqmLtwosJNUZUuEZwNR3bc_W8l8Ve_xulQNidyb7dxqffyYI=s88-c-k-c0x00ffffff-no-rj", 8 "like_count": "43", 9 "reply_count": "19", 10 "is_verified": false, 11 "is_current_user": false, 12 "is_creator": true, 13 "is_artist": false 14}
π Leave us a βββββ if you are satisfied with the product! π For any questions, specific needs, or issues, please reach out through Apify's platform or via email Storm_Scraper πͺοΈπ©οΈ
Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.
No. This is a no-code tool β just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.
It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.
Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.
You can use the Try Now button on this page to go to the scraper. Youβll be guided to input a search term and get structured results. No setup needed!