ytscrape: One Python Interface for YouTube Data — No Browser, No API Key
What if you could collect YouTube search results, videos, channels, comments, replies, and transcripts through one Python interface? No browser automation. No Selenium. No Playwright. No YouTube API key. Just Python and HTTP. ytscrape is an open-source Python library designed to make collecting YouTube data simple, fast, and consistent. 🚀 Get started GitHub: https://github.com/vsmutok/ytscrape…
ytscrape is a Python library designed to simplify the process of collecting various types of YouTube data through a single interface. It allows users to access search results, videos, channels, comments, replies, and transcripts without the need for browser automation, Selenium, Playwright, or a YouTube API key. The library is built around the idea that accessing different types of YouTube data should be straightforward and consistent.
To get started with ytscrape, users can install the library via pip and import the YouTube class. Once imported, they can use the with YouTube () as yt: statement to access different parts of YouTube data. For example, they can search for videos by using yt.search("python", max_results=10) and print the title and URL of each video. The library also provides methods to access video metadata, channel metadata, comments, replies, and transcripts.
The simplicity of the ytscrape library is one of its key features. It offers a single client that can be used to access multiple types of YouTube data, making it easy to combine different operations into a single pipeline. For instance, a user can build a dataset of Python-related YouTube videos by combining the search and video methods.
The library is designed for data collection and provides a consistent interface for accessing various YouTube data types, making it a valuable tool for anyone working with YouTube data in Python.
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