Search Youtube Video and Get Video info

Related tags

Deep Learningyoutubeyoutube-search
Overview

PyYouTube

Get Video Data from YouTube link

Installation

pip install PyYouTube

How to use it ?

Get Videos Data

from pyyoutube import Data
yt = Data("https://youtu.be/HhHzCfrqsoE")
print(yt.data)
Example Results 
{
  "id": "HhHzCfrqsoE",
  "title": "How To Create MongoDB Database  Url",
  "thumbnails": "https://i.ytimg.com/vi/HhHzCfrqsoE/hqdefault.jpg?sqp=-oaymwEiCKgBEF5IWvKriqkDFQgBFQAAAAAYASUAAMhCPQCAokN4AQ==\\u0026rs=AOn4CLBOkJZAdEpYxQOVdaUxFHdbThH_DQ",
  "views": "91",
  "likes": "11",
  "dislikes": "No",
  "publishdate": "2021-08-04",
  "category": "Howto \\u0026 Style",
  "channel_name": "Ln Technical",
  "subscriber": "1.15K subscribers"
}

Search Videos

Get videos link

from pyyoutube import Search
yt = Search("ln technical")
print(yt.videos)
Example Results 
['https://youtu.be/jEnlga0hYyY', 'https://youtu.be/jEnlga0hYyY', 'https://youtu.be/Fxj5ZpaNq24', 'https://youtu.be/bAyh6FU01ho', 'https://youtu.be/DPCN3abXmsc', 'https://youtu.be/ros6m2BBI84', 'https://youtu.be/jEnlga0hYyY', 'https://youtu.be/hbtfaAx4bBE', 'https://youtu.be/qvBt04Q60Mg', 'https://youtu.be/1T3rAZH4rmw']

Get Video Data

from pyyoutube import Search ,Data 
yt = Search("ln technical" , limit = 2).videos
for vid in yt:
  res = Data(vid).data
  print(res)
Example Results 
[
  {
    "id": "jEnlga0hYyY",
    "title": "Tutorial 1 - History of Infor ERP LN",
    "thumbnails": "https://i.ytimg.com/vi/jEnlga0hYyY/hqdefault.jpg?sqp=-oaymwEiCKgBEF5IWvKriqkDFQgBFQAAAAAYASUAAMhCPQCAokN4AQ==\\u0026rs=AOn4CLC9vnXpG2XmDpNfwZHEBMdo8GVf-A",
    "views": "9957",
    "likes": "80",
    "dislikes": "1",
    "publishdate": "2017-11-07",
    "category": "Education",
    "channel_name": "Infor LN Technical Trainer",
    "subscriber": "935 subscribers"
  },
  {
    "id": "jEnlga0hYyY",
    "title": "Tutorial 1 - History of Infor ERP LN",
    "thumbnails": "https://i.ytimg.com/vi/jEnlga0hYyY/hqdefault.jpg?sqp=-oaymwEiCKgBEF5IWvKriqkDFQgBFQAAAAAYASUAAMhCPQCAokN4AQ==\\u0026rs=AOn4CLC9vnXpG2XmDpNfwZHEBMdo8GVf-A",
    "views": "9957",
    "likes": "80",
    "dislikes": "1",
    "publishdate": "2017-11-07",
    "category": "Education",
    "channel_name": "Infor LN Technical Trainer",
    "subscriber": "935 subscribers"
  }
]

Search Limits Video

from pyyoutube import Search ,Data 
yt = Search("ln technical", limit = 3).videos
print(yt)

Example Result

['https://youtu.be/jEnlga0hYyY', 'https://youtu.be/jEnlga0hYyY', 'https://youtu.be/Fxj5ZpaNq24']

License

Copyright (c) 2021 Lntechnical

This repository is licensed under the MIT license.
You might also like...
UpChecker is a simple opensource project to host it fast on your server and check is server up, view statistic, get messages if it is down. UpChecker - just run file and use project easy

UpChecker UpChecker is a simple opensource project to host it fast on your server and check is server up, view statistic, get messages if it is down.

Yan 4 Apr 7, 2022
Code I use to automatically update my videos' metadata on YouTube

mCodingYouTube This repository contains the code I use to automatically update my videos' metadata on YouTube, including: titles, descriptions, tags,

James Murphy 19 Oct 7, 2022
AI assistant built in python.the features are it can display time,say weather,open-google,youtube,instagram.

AI assistant built in python.the features are it can display time,say weather,open-google,youtube,instagram.

AK-Shanmugananthan 1 Nov 29, 2021
The PASS dataset: pretrained models and how to get the data - PASS: Pictures without humAns for Self-Supervised Pretraining
The PASS dataset: pretrained models and how to get the data - PASS: Pictures without humAns for Self-Supervised Pretraining

The PASS dataset: pretrained models and how to get the data - PASS: Pictures without humAns for Self-Supervised Pretraining

Yuki M. Asano 249 Dec 22, 2022
Get the partition that a file belongs and the percentage of space that consumes

tinos_eisai_sy Get the partition that a file belongs and the percentage of space that consumes (works only with OSes that use the df command) tinos_ei

Konstantinos Patronas 6 Jan 24, 2022
People log into different sites every day to get information and browse through these sites one by one

HyperLink People log into different sites every day to get information and browse through these sites one by one. And they are exposed to advertisemen

null 0 Feb 17, 2022
Scripts and a shader to get you started on setting up an exported Koikatsu character in Blender.
Scripts and a shader to get you started on setting up an exported Koikatsu character in Blender.

KK Blender Shader Pack A plugin and a shader to get you started with setting up an exported Koikatsu character in Blender. The plugin is a Blender add

null 166 Jan 1, 2023
Automatically measure the facial Width-To-Height ratio and get facial analysis results provided by Microsoft Azure

fwhr-calc-website This project is to automatically measure the facial Width-To-Height ratio and get facial analysis results provided by Microsoft Azur

SoohyunPark 1 Feb 7, 2022
Hack Camera, Microphone, Location, Clipboard With Just a Link. Also, Get Many Details About Victim's Device. And So On...
Hack Camera, Microphone, Location, Clipboard With Just a Link. Also, Get Many Details About Victim's Device. And So On...

An Automated Tool to Hack Victim's Camera, Microphone, Location, Clipboard. Has 2 Extra Features. Version 1.1 Update Fixed Some Major Bugs Data Saving

ToxicNoob 36 Jan 7, 2023
Comments
  • Error

    Error

    Traceback (most recent call last): File "E:/Youtube_info/get_info.py", line 6, in data = Data("https://youtu.be/"+line.strip()).data() File "C:\Python37\lib\site-packages\py_youtube\pyyoutube.py", line 247, in data "duration":duration, NameError: name 'duration' is not defined

    bug 
    opened by JacondaMarsi 4
Releases(1.1.7)
Owner
lokaman chendekar
Student learning more ............
lokaman chendekar
GitHub Repository https://pypi.org/project/PyYouTube
An official source code for "Augmentation-Free Self-Supervised Learning on Graphs"

Augmentation-Free Self-Supervised Learning on Graphs An official source code for Augmentation-Free Self-Supervised Learning on Graphs paper, accepted

Namkyeong Lee 59 Dec 01, 2022
Plug and play transformer you can find network structure and official complete code by clicking List

Plug-and-play Module Plug and play transformer you can find network structure and official complete code by clicking List The following is to quickly

8 Mar 27, 2022
On Size-Oriented Long-Tailed Graph Classification of Graph Neural Networks

On Size-Oriented Long-Tailed Graph Classification of Graph Neural Networks We provide the code (in PyTorch) and datasets for our paper "On Size-Orient

Zemin Liu 4 Jun 18, 2022
EDCNN: Edge enhancement-based Densely Connected Network with Compound Loss for Low-Dose CT Denoising

EDCNN: Edge enhancement-based Densely Connected Network with Compound Loss for Low-Dose CT Denoising By Tengfei Liang, Yi Jin, Yidong Li, Tao Wang. Th

workingcoder 115 Jan 05, 2023
An index of recommendation algorithms that are based on Graph Neural Networks.

An index of recommendation algorithms that are based on Graph Neural Networks.

FIB LAB, Tsinghua University 564 Jan 07, 2023
The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".

Kernelized-HRM Jiashuo Liu, Zheyuan Hu The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization"[1]. This repo contains the cod

Liu Jiashuo 8 Nov 20, 2022
Code for the paper "Training GANs with Stronger Augmentations via Contrastive Discriminator" (ICLR 2021)

Training GANs with Stronger Augmentations via Contrastive Discriminator (ICLR 2021) This repository contains the code for reproducing the paper: Train

Jongheon Jeong 174 Dec 29, 2022
Implementation for the IJCAI2021 work "Beyond the Spectrum: Detecting Deepfakes via Re-synthesis"

Beyond the Spectrum Implementation for the IJCAI2021 work "Beyond the Spectrum: Detecting Deepfakes via Re-synthesis" by Yang He, Ning Yu, Margret Keu

Yang He 27 Jan 07, 2023
Official repository for Few-shot Image Generation via Cross-domain Correspondence (CVPR '21)

Few-shot Image Generation via Cross-domain Correspondence Utkarsh Ojha, Yijun Li, Jingwan Lu, Alexei A. Efros, Yong Jae Lee, Eli Shechtman, Richard Zh

Utkarsh Ojha 251 Dec 11, 2022
Official repository for Natural Image Matting via Guided Contextual Attention

GCA-Matting: Natural Image Matting via Guided Contextual Attention The source codes and models of Natural Image Matting via Guided Contextual Attentio

Li Yaoyi 349 Dec 26, 2022
A framework to train language models to learn invariant representations.

Invariant Language Modeling Implementation of the training for invariant language models. Motivation Modern pretrained language models are critical co

6 Nov 16, 2022
Pomodoro timer that acknowledges the inexorable, infinite passage of time

Pomodouroboros Most pomodoro trackers assume you're going to start them. But time and tide wait for no one - the great pomodoro of the cosmos is cold

Glyph 66 Dec 13, 2022
The materials used in the SaxonJS tutorial presented at Declarative Amsterdam, 2021

SaxonJS-Tutorial-2021, version 1.0.4 Last updated on 4 November, 2021. Table of contents Background Prerequisites Starting a web server Running a Java

Saxonica 11 Oct 23, 2022
InsCLR: Improving Instance Retrieval with Self-Supervision

InsCLR: Improving Instance Retrieval with Self-Supervision This is an official PyTorch implementation of the InsCLR paper. Download Dataset Dataset Im

Zelu Deng 25 Aug 30, 2022
EMNLP'2021: Simple Entity-centric Questions Challenge Dense Retrievers

EntityQuestions This repository contains the EntityQuestions dataset as well as code to evaluate retrieval results from the the paper Simple Entity-ce

Princeton Natural Language Processing 119 Sep 28, 2022
Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!

Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!

Peter Lin 6.5k Jan 04, 2023
PECOS - Prediction for Enormous and Correlated Spaces

PECOS - Predictions for Enormous and Correlated Output Spaces PECOS is a versatile and modular machine learning (ML) framework for fast learning and i

Amazon 387 Jan 04, 2023
Python scripts for performing stereo depth estimation using the MobileStereoNet model in Tensorflow Lite.

TFLite-MobileStereoNet Python scripts for performing stereo depth estimation using the MobileStereoNet model in Tensorflow Lite. Stereo depth estimati

Ibai Gorordo 4 Feb 14, 2022
Official repository of Semantic Image Matting

Semantic Image Matting This is the official repository of Semantic Image Matting (CVPR2021). Overview Natural image matting separates the foreground f

192 Dec 29, 2022
docTR by Mindee (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.

docTR by Mindee (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.

Mindee 1.5k Jan 01, 2023