Scrape YouTube titles, views, likes, comments & subscriber data without API limits. BrowserAct’s no-code workflow exports clean CSV/JSON. Free 1,000 credits.
Hey there, data explorer! 👋 Are you looking to unlock the secrets hidden within YouTube's massive ocean of videos? Maybe you're a content creator trying to understand what makes videos go viral, a marketer researching competitor strategies, or a researcher digging into public sentiment. Whatever your goal, one thing is clear: YouTube data is incredibly valuable.
YouTube isn't just the world's largest video platform; it's a colossal repository of market trends, consumer behavior, and cultural shifts. As of 2025, YouTube boasts over 2.7 billion monthly active users globally , making it the second-largest social media platform after Facebook The sheer volume of content is staggering, with over 500 hours of video uploaded every single minute, Imagine having insights into video view counts, audience engagement (likes, comments), subscriber growth, and even what people are saying in the comments section. This kind of information is crucial for optimizing your content strategy, understanding your niche, and staying ahead in the competitive digital landscape.
However, trying to manually collect this data is like trying to empty an ocean with a teacup. It's inefficient, time-consuming, and frankly, impossible on a large scale. That's where automation comes in.
The need for automated YouTube data solutions is evident across various industries. Tools designed to scrape YouTube data, such as channel names, video likes, view counts, and subscriber numbers, serve as powerful alternatives to the official YouTube API. While the API offers structured access, it often comes with strict rate limits, usage quotas, and can be complex to implement for non-developers. This has fueled a significant market for third-party scraping tools. For instance, some popular YouTube scrapers boast user bases in the tens of thousands (e.g., one well-known tool has over 31,000 users), clearly demonstrating the high demand for efficient and flexible ways to access YouTube data. This demand isn't just from tech-savvy developers; it's from everyday users who need practical solutions to gather insights.
This is where BrowserAct steps in as your ultimate automated YouTube data analyst. Imagine an AI-powered web scraper and automation tool that's 1000 credits free for everyone, designed to simplify complex data extraction. BrowserAct allows you to extract Youtube data like chatting, simulating human browsing behavior on any website without needing to write a single line of code. Think of it as having a tireless assistant who can navigate YouTube exactly like you would, but at lightning speed and without getting tired.
BrowserAct empowers you to scrape a wide array of publicly available data efficiently. You can scrape instantly or automate entire workflows simply by using natural language prompts, building powerful data collection tools and scheduling tasks with remarkable ease, no matter the complexity of your data needs. This means you can easily capture:
What truly sets BrowserAct apart is its incredible customizability. You're not limited to predefined templates. You can precisely tailor your data extraction operations to target specific channels, videos, keywords, or even entire playlists. This means you get exactly the data you need, formatted how you want it, for your unique analytical purposes.
Ready to turn raw YouTube data into actionable insights? With BrowserAct, it's as easy as 1-2-3. Forget complex coding or battling API limits. Here’s how you can build your own YouTube data insight system:
Here is what you will get with 3 steps in a few minutes
First, tell BrowserAct what you're interested in. Do you want data from a specific video, a channel, or search results for a particular keyword?
Tap Create button to name your workflows and start to build it
Name your platform and input our login credentials
Descripe the extraction like a chatting in your first Node "Visit Page_1"
Eg:
visit this page https://www.youtube.com/watch?v=VNxpGWD5ABg
Describe in the second Node "Extract Data_1"
Eg:
Extract from first 20 comments: Comment Text, Author Name, Timestamp, Comment Likes Count, Comment Replies Count. Format: Timestamp as "YYYY-MM-DD HH:MM:SS UTC", Likes Count and Replies Count as numbers only, missing data as "N/A". Skip comments: that are empty or marked as unavailable.
The final step is to get your data in a usable format so you can start uncovering trends and making informed decisions.
Configuration Rules:
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There are several compelling reasons why BrowserAct should be your go-to tool for YouTube data extraction:
YouTube is more than just entertainment; it's a powerful data source waiting to be leveraged. In 2024, YouTube generated over $36 billion in advertising revenue, underscoring its immense commercial power. [3][4] Users spend an average of 48.7 minutes per day on the platform, and over 1 billion hours of content are watched daily on TV screens alone. [5][6] These numbers highlight the vast audience and engagement you can tap into.
BrowserAct provides you with the key to unlock this treasure trove. By automating the extraction of critical YouTube data, you can:
Don't let valuable insights slip through your fingers. Start using BrowserAct today to gain a significant competitive advantage, empower your content strategy, and truly understand the pulse of the world's largest video platform. The data is there; now it's time to seize it!
Youtube scraper