Scrape all Youtube Shorts data for given channels. What you'll get: Title, URL, Length, UploadDate, Keywords ViewCount, CommentCount, LikeCount And much more! If you'd like to see more information please contact me at AceEngineer1992@gmail.com
Simple and effective youtube shorts data scraper. Best scrapers for your use case - contact: AceEngineer1992@gmail.com.
To use this app:
@gordonramsay
, @BBCNews
The actor should immediately start producing output from the selected channels.
Sample outputs:
1[ 2 { 3 "channelDisplayName": "All-In Podcast", 4 "channelHandle": "@allin", 5 "channelId": "UCESLZhusAkFfsNsApnjF_Cg", 6 "channelUrl": "https://www.youtube.com/@allin", 7 "channelSubscriberCount": 809000, 8 "channelShortsCount": 148, 9 "id": "ennSJ8uk1QU", 10 "date": "2025-04-04T23:21:10Z", 11 "title": "Antonio Gracias Breaks Down SHOCKING Immigration Data 🤯", 12 "description": "Subscribe to All-In: https://www.youtube.com/@allin?sub_confirmation=1\n\nFull episode: https://youtu.be/OjhA9p3ZXW0\n\nFollow the besties: \nhttps://x.com/chamath\nhttps://x.com/Jason\nhttps://x.com/DavidSacks\nhttps://x.com/friedberg\n\nFollow on X:\nhttps://x.com/theallinpod\n\nFollow on Instagram:\nhttps://www.instagram.com/theallinpod\n\nFollow on TikTok:\nhttps://www.tiktok.com/@theallinpod\n\nFollow on LinkedIn: \nhttps://www.linkedin.com/company/allinpod\n\nIntro Music Credit:\nhttps://rb.gy/tppkzl\nhttps://x.com/yung_spielburg\n\nIntro Video Credit:\nhttps://x.com/TheZachEffect\n\n#allin #tech #news", 13 "keywords": [ 14 "chamath", 15 "david sacks", 16 "david friedberg", 17 "jason calacanis", 18 "all in podcast", 19 "tech", 20 "news", 21 "politics", 22 "big tech", 23 "antitrust", 24 "election", 25 "covid", 26 "quarantine", 27 "stocks", 28 "stock market", 29 "tech stocks", 30 "palihapitiya", 31 "government" 32 ], 33 "lengthSeconds": 100, 34 "shortsURL": "https://www.youtube.com/shorts/ennSJ8uk1QU", 35 "videoURL": "https://www.youtube.com/watch?v=ennSJ8uk1QU", 36 "thumbnailUrl": "https://i.ytimg.com/vi/ennSJ8uk1QU/default.jpg", 37 "likes": 237, 38 "commentCount": 10, 39 "viewCount": 5383 40 }, 41 { 42 "channelDisplayName": "All-In Podcast", 43 "channelHandle": "@allin", 44 "channelId": "UCESLZhusAkFfsNsApnjF_Cg", 45 "channelUrl": "https://www.youtube.com/@allin", 46 "channelSubscriberCount": 809000, 47 "channelShortsCount": 148, 48 "id": "j2zvPf0SyHU", 49 "date": "2025-04-04T19:43:18Z", 50 "title": "Chamath's Three Takeaways from Liberation Day 🇺🇸", 51 "description": "Subscribe to All-In: https://www.youtube.com/@allin?sub_confirmation=1\n\nFull episode: https://youtu.be/OjhA9p3ZXW0\n\nFollow the besties: \nhttps://x.com/chamath\nhttps://x.com/Jason\nhttps://x.com/DavidSacks\nhttps://x.com/friedberg\n\nFollow on X:\nhttps://x.com/theallinpod\n\nFollow on Instagram:\nhttps://www.instagram.com/theallinpod\n\nFollow on TikTok:\nhttps://www.tiktok.com/@theallinpod\n\nFollow on LinkedIn: \nhttps://www.linkedin.com/company/allinpod\n\nIntro Music Credit:\nhttps://rb.gy/tppkzl\nhttps://x.com/yung_spielburg\n\nIntro Video Credit:\nhttps://x.com/TheZachEffect\n\n#allin #tech #news", 52 "keywords": [ 53 "chamath", 54 "david sacks", 55 "david friedberg", 56 "jason calacanis", 57 "all in podcast", 58 "tech", 59 "news", 60 "politics", 61 "big tech", 62 "antitrust", 63 "election", 64 "covid", 65 "quarantine", 66 "stocks", 67 "stock market", 68 "tech stocks", 69 "palihapitiya", 70 "government" 71 ], 72 "lengthSeconds": 60, 73 "shortsURL": "https://www.youtube.com/shorts/j2zvPf0SyHU", 74 "videoURL": "https://www.youtube.com/watch?v=j2zvPf0SyHU", 75 "thumbnailUrl": "https://i.ytimg.com/vi/j2zvPf0SyHU/default.jpg", 76 "likes": 1001, 77 "commentCount": 72, 78 "viewCount": 45169 79 } 80]
If you encounter issues or have questions, please reach out to me at aceengineer1992@gmail.com
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 — 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. You’ll be guided to input a search term and get structured results. No setup needed!