• Installation
  1. PIP Installation
  2. Source Code Download
• Usage
• Core Features
• Functioning

This project can be installed on to your device via different mechanisms, these mechanisms are listed below in the order of ease.

1. PIP Installs Packages aka PIP Installation

   $ pip install git https://www.github.com/justfoolingaround/fast-yt-search
   

2. Source Code Download

   $ git clone https://www.github.com/justfoolingaround/fast-yt-search
   

   Given that you have git installed, you can clone the repository from GitHub. If you do not have or want to deal with installation of git, you can simply download the repository using this link.

   After the repository is downloaded and placed in an appropriate directory, you can use setup.py to proceed with the installation.

   $ pip install .
   

Additional information: You must have Python installed and in PATH to use this project properly. Your Python executable may be py or python or python3. Only Python 3.6 and higher versions are supported by the project.

import httpx # requests is also supported, httpx is better.

import ytsearch

headers = {
    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/80.0.3987.149 Safari/537.36"
}

# We're going to be using a PC user-agent to get full functionality.

client = httpx.Client(headers=headers)

for estimated_results, component in ytsearch.search(client, "Rick Astley - Never Gonna Give You Up"):
    print(component)

# This is going to get the first page, now for the fully filtered **all** results.

for estimated_results, component in ytsearch.search(client, "Rick Astley - Never Gonna Give You Up", content_type=ytsearch.filters.ContentType.VIDEO, keep_searching=True):
    print(component)

• Devastatingly powerful, can search any YouTube content limitlessly and effortlessly.
• Supports search filters, and you can pile them up.
• Easy API reference, just import n' use.
• No external dependency required for installation. Session clients of libraries similar to python-requests or httpx will work.
• User controlled API client context and user-agent.
• Gives you whatever you see based on your settings.
  • For PC user agents, it will give you those moving thumbnails, namely rich thumbnails.
• High efficiency code.
• Supports autocomplete, with the option to set with a video context.
• Gives the highest possible images for thumbnails and channel profile images.

This project functions similarly to your YouTube client, you give it a query, it'll run a search. If you scroll down, it'll give you the illusion of infinite scroll.

Except, this project is faster. It doesn't load anything other than what is required.