LAGIC
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YouTube Channel Scraper — YouTube | Lagic

Built ForMarketing & Advertising AgenciesMedia & EntertainmentE-commerce

Get a structured list of any YouTube channel's videos, titles, and view counts.

Curated by Lagic·Verified working

Configure Agent

The URL of the YouTube channel to scrape.

The maximum number of videos to scrape.

The order in which to scrape the videos.

Results to deliver

100 credits

This agent actively searches live listings — results may vary. You are only charged for what is delivered, up to this number.

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Pricing

1 credit per result
✓ 30 free credits on signup✓ Refund if 0 results✓ No card required

Sample Data Preview

Video TitleDirect URL to the VideoTotal View CountPublication DateThumbnail Image URL
Sample Text...https://...2942026-04-05https://...
Sample Text...https://...9192026-04-05https://...
...............
Exports as:CSVXLSXJSON

Overview

Extract a list of videos from any YouTube channel, including their titles, view counts, and publication dates. Perfect for analyzing competitor content strategy or tracking your own channel's performance.

Manually compiling data on a YouTube channel's content is time-consuming and prone to errors. This tool automates the process, allowing you to extract a clean, organized list of videos from any public YouTube channel. Simply provide a channel's URL, and the tool will return a list of its videos. You can specify the maximum number of videos to retrieve and sort them by the newest, oldest, or most popular, giving you direct access to the content that matters most for your analysis. ### Who is this for? This tool is designed for marketers, content creators, agencies, and researchers who need to analyze video content strategy without manual data entry. Whether you're benchmarking against competitors, auditing your own channel's history, or researching content trends in a specific niche, this extractor provides the raw data you need. ### What can you do with the data? The extracted data allows you to quickly identify a channel's most successful videos, track their upload frequency, and analyze content patterns over time. You can see which thumbnails and titles correlate with high view counts or build a historical archive of a channel's output. The output is a simple, structured dataset ready for use in spreadsheets, reports, or other analysis tools.

Key Capabilities

  • ✓ Video Title
  • ✓ Direct URL to the Video
  • ✓ Total View Count
  • ✓ Publication Date
  • ✓ Thumbnail Image URL
  • ✓ Analyze a competitor's most popular videos to identify successful content formulas.
  • ✓ Track a brand partner's recent video uploads and their performance metrics.
  • ✓ Create a complete archive of your own channel's videos for a content audit.
  • ✓ Identify a creator's oldest videos to understand the evolution of their content style.
  • ✓ Find underperforming videos on a channel to flag for potential content updates or removal.
  • ✓ Gather data for academic research on video publishing trends within a specific category.
  • ✓ Source video ideas by analyzing a channel's most-viewed content in your niche.

Field Dictionary

How To Run This Extractor

1

Paste the URL of the YouTube channel you want to analyze.

2

Specify the maximum number of videos you want to retrieve.

3

Choose to sort the videos by 'Latest', 'Popular', or 'Oldest'.

4

Run the tool and wait for the extraction to complete.

5

Download the collected video data as a spreadsheet (CSV, Excel) or JSON file.

Frequently Asked Questions

Do I need to know how to code?
No, this tool is operated through a simple interface. You only need the URL of the YouTube channel you want to analyze.
What format will the data be in?
Is it legal to scrape YouTube channel data?
Can I get a list of all videos from a channel with thousands of uploads?
Can this tool extract video comments or transcripts?
How many channels can I scrape at once?
Is this suitable for client work at my agency?
How is this different from just looking at a channel's page?
Can I schedule this tool to run automatically?
How fresh is the data?