The Youtube Video Data Extractor API is a powerful tool that allows developers to extract data from Youtube videos by providing the Video ID or Video URL. This API returns comprehensive information about a video, such as its title, description, view count, likes, dislikes, and comments. This makes it easy for developers to integrate Youtube data into their applications.
With the Youtube Video Data Extractor API, developers can create applications that leverage the massive amount of data available on Youtube. For example, a content aggregator application could use this API to extract video data and display it in a personalized format for users. A video analytics tool could use the API to retrieve data about a specific video, including its performance metrics, engagement rate, and more. Similarly, a social media management tool could use the API to extract data from Youtube videos and provide insights on how to improve engagement on social media channels.
The Youtube Video Data Extractor API uses a RESTful architecture and returns data in JSON format. It is easy to integrate with any programming language or platform that supports HTTP requests. The API is designed to be scalable and can handle a large number of requests simultaneously, making it suitable for applications with high traffic.
In conclusion, the Youtube Video Data Extractor API is a powerful tool that provides developers with easy access to valuable information about Youtube videos. By using this API, developers can create innovative applications that leverage the wealth of data available on Youtube.
It will receive a parameter and provide you with a JSON.
Content Aggregator: The API can be used to extract video data from Youtube and display it in a personalized format for users.
Video Analytics Tool: The API can be used to retrieve data about a specific video, including its performance metrics, engagement rate, and more.
Social Media Management Tool: The API can be used to extract data from Youtube videos and provide insights on how to improve engagement on social media channels.
Marketing Research: The API can be used to extract data about popular video topics, trends, and demographics to inform marketing campaigns.
Video Recommendation Engine: The API can be used to extract data about user behavior and preferences to make personalized video recommendations.
Educational Platform: The API can be used to extract data about video content, such as topic, length, and difficulty level, to inform the creation of educational resources.
Entertainment Platform: The API can be used to extract data about user engagement with specific types of content, such as music or comedy, to inform content creation.
News Aggregator: The API can be used to extract data about breaking news stories and trending topics to provide real-time updates to users.
Video Search Engine: The API can be used to extract data about video content to improve search results and relevance.
Content Curation: The API can be used to extract data about popular video content to inform the curation of content for websites or social media channels.
Basic Plan: 10,000 API Calls. One request per second.
Pro Plan: 50,000 API Calls. One request per second.
Pro Plus Plan: 150,000 API Calls. One request per second.
Premium Plan: 500,000 API Calls. One request per second.
The Extract Data endpoint is a key feature of the Youtube Video Data Extractor API, allowing developers to retrieve comprehensive data about specific videos on the platform. By providing a video ID or URL, this endpoint returns detailed information about the video, including title, description, view count, likes, dislikes, comments, and more. This data is returned in a standardized JSON format, making it easy for developers to integrate with their applications. The Extract Data endpoint is a powerful tool for developers looking to build applications that leverage the vast amount of data available on YouTube, enabling them to create innovative solutions that provide insights and analysis on video content.
Extract Data - Endpoint Features
| Object | Description |
|---|---|
id |
[Required] Video ID or Video URL. For example: iiADhChRriM or https://www.youtube.com/watch?v=iiADhChRriM |
{"author":{"avatar":[{"url":"https:\/\/yt3.ggpht.com\/i7rEsOTx2EsFQdZ1vlY93XQSS78PJh3XNT-ZRqS5T5x7jhyGdXMdDwVTHhrL1loChe_PXsZ5ew=s32-c-k-c0x00ffffff-no-rj","width":32,"height":32},{"url":"https:\/\/yt3.ggpht.com\/i7rEsOTx2EsFQdZ1vlY93XQSS78PJh3XNT-ZRqS5T5x7jhyGdXMdDwVTHhrL1loChe_PXsZ5ew=s48-c-k-c0x00ffffff-no-rj","width":48,"height":48},{"url":"https:\/\/yt3.ggpht.com\/i7rEsOTx2EsFQdZ1vlY93XQSS78PJh3XNT-ZRqS5T5x7jhyGdXMdDwVTHhrL1loChe_PXsZ5ew=s76-c-k-c0x00ffffff-no-rj","width":76,"height":76},{"url":"https:\/\/yt3.ggpht.com\/i7rEsOTx2EsFQdZ1vlY93XQSS78PJh3XNT-ZRqS5T5x7jhyGdXMdDwVTHhrL1loChe_PXsZ5ew=s100-c-k-c0x00ffffff-no-rj","width":100,"height":100},{"url":"https:\/\/yt3.ggpht.com\/i7rEsOTx2EsFQdZ1vlY93XQSS78PJh3XNT-ZRqS5T5x7jhyGdXMdDwVTHhrL1loChe_PXsZ5ew=s176-c-k-c0x00ffffff-no-rj","width":176,"height":176},{"url":"https:\/\/yt3.ggpht.com\/i7rEsOTx2EsFQdZ1vlY93XQSS78PJh3XNT-ZRqS5T5x7jhyGdXMdDwVTHhrL1loChe_PXsZ5ew=s512-c-k-c0x00ffffff-no-rj","width":512,"height":512}],"badges":[],"canonicalBaseUrl":"\/channel\/UCgQ0TS5W3yn2X48ng8F8DRQ","channelId":"UCgQ0TS5W3yn2X48ng8F8DRQ","isVerified":false,"stats":{"subscribers":9220,"subscribersText":"9.22K"},"title":"Marc Colcer"},"cards":null,"description":"In today's episode, the co-founder of DeGods & y00ts, Frank DeGods, comes onto the podcast for Part 1 of the Season III launch. We talk about when Season III is launching, what they've learned over the last year and a half, his thoughts on the current state of the NFT ecosystem, what they're pursuing with the DePoints and what we can expect in the future of DeGods, y00ts, and $DUST.\n\nBrought to you by: \nHello Moon - Solana data infrastructure. Explore Solana DeFi & NFTs. Build with Solana\u2019s most powerful developer tools.\nT: https:\/\/twitter.com\/HelloMoon_IO\nW: HelloMoon.IO\n\nRoast Umber Coffee: 30% off with coupon code \"Marc30\" at https:\/\/www.RoastUmber.com\n\nI: https:\/\/www.Instagram.com\/MarcColcer\nT: https:\/\/www.Twitter.com\/MarcColcer\nE: [email protected]\n\nT: https:\/\/www.Twitter.com\/FrankDeGods\nT: https:\/\/www.Twitter.com\/DeGodsNFT\nT: https\/\/www.Twitter.com\/y00tsNFT\nW: delabs.xyz\n\n*For Full Transparency: Marc is compensated by the NFT project for his time for editing, recording and clipping the podcast*","endScreen":null,"isLiveContent":null,"keywords":["NFT","Solana","Sol","Magic Eden","Marc","Colcer","Marc Colcer Podcast","NFTs","WAGMI","Liberty Square","Sekrit","Balloonsville","Derugging","Derug","Rug","solanaberries","BVDCats","BVD","Cats","RPC Nodes","Validators","Blockchain","liberty square","sekrit","Dust","Dust Labs","y00ts","DeGods","Frank","Kevin DeGods","YORD","Pudgy Penguins","Luca Netz","Open Sea","ETH","Defi","nft borrowing","lending","Oogy","NBA Top Shot","claynosaurz","IP","okay bears","metatope","polygon","OWLPHA","Poly","SolCasino","asset dash","vanta","Frank Degods","Season III","SZN III"],"lengthSeconds":7800,"musics":null,"publishedDate":"2023-08-01","stats":{"comments":116,"likes":629,"views":35628},"superTitle":null,"thumbnails":[{"quality":"maxresdefault","url":"https:\/\/i.ytimg.com\/vi\/3O-Mbdu5FSQ\/maxresdefault.jpg","width":1280,"height":720},{"quality":"sddefault","url":"https:\/\/i.ytimg.com\/vi\/3O-Mbdu5FSQ\/sddefault.jpg","width":640,"height":480},{"quality":"high","url":"https:\/\/i.ytimg.com\/vi\/3O-Mbdu5FSQ\/hqdefault.jpg","width":480,"height":360},{"quality":"medium","url":"https:\/\/i.ytimg.com\/vi\/3O-Mbdu5FSQ\/mqdefault.jpg","width":320,"height":180},{"quality":"default","url":"https:\/\/i.ytimg.com\/vi\/3O-Mbdu5FSQ\/default.jpg","width":120,"height":90},{"quality":"start","url":"https:\/\/i.ytimg.com\/vi\/3O-Mbdu5FSQ\/1.jpg","width":120,"height":90},{"quality":"middle","url":"https:\/\/i.ytimg.com\/vi\/3O-Mbdu5FSQ\/2.jpg","width":120,"height":90},{"quality":"end","url":"https:\/\/i.ytimg.com\/vi\/3O-Mbdu5FSQ\/3.jpg","width":120,"height":90}],"title":"DeGods Season III, Pt. 1 w\/ Frank DeGods - (NFT Founder Series)","type":"scheduled","videoId":"3O-Mbdu5FSQ"}
curl --location --request GET 'https://zylalabs.com/api/1883/youtube+video+data+extractor+api/1578/extract+data?id=https://www.youtube.com/watch?v=iiADhChRriM' --header 'Authorization: Bearer YOUR_API_KEY'
| Header | Description |
|---|---|
Authorization
|
[Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed. |
No long-term commitment. Upgrade, downgrade, or cancel anytime. Free Trial includes up to 50 requests.
The Extract Data endpoint returns comprehensive information about a YouTube video, including the title, description, view count, likes, dislikes, comments, and author details. This data is structured in a standardized JSON format for easy integration.
Key fields in the response data include "title," "description," "viewCount," "likeCount," "dislikeCount," "commentCount," and "author." Each field provides specific insights into the video's performance and engagement.
The response data is organized in a JSON structure, with nested objects for complex data. For example, the "author" field contains details like "avatar" images and "name," while engagement metrics are presented as separate fields for clarity.
The Extract Data endpoint provides information on video metrics (views, likes, dislikes), content details (title, description), and user engagement (comments). This allows developers to analyze video performance comprehensively.
Users can customize their data requests by providing either a Video ID or a Video URL as parameters. This flexibility allows for targeted data extraction based on specific videos of interest.
The data is sourced directly from YouTube's platform, ensuring that the information retrieved is accurate and up-to-date. The API leverages YouTube's public data for reliable insights.
Typical use cases include building content aggregators, video analytics tools, and social media management platforms. Developers can use the data to enhance user engagement and provide insights into video performance.
Users can utilize the returned data to analyze video performance, track engagement metrics, and inform content strategies. For instance, a marketing team can assess which videos generate the most likes and comments to refine their campaigns.
Please have a look at our Refund Policy: https://zylalabs.com/terms#refund
To obtain your API key, you first need to sign in to your account and subscribe to the API you want to use. Once subscribed, go to your Profile, open the Subscription section, and select the specific API. Your API key will be available there and can be used to authenticate your requests.
You can’t switch APIs during the free trial. If you subscribe to a different API, your trial will end and the new subscription will start as a paid plan.
If you don’t cancel before the 7th day, your free trial will end automatically and your subscription will switch to a paid plan under the same plan you originally subscribed to, meaning you will be charged and gain access to the API calls included in that plan.
The free trial ends when you reach 50 API requests or after 7 days, whichever comes first.
No, the free trial is available only once, so we recommend using it on the API that interests you the most. Most of our APIs offer a free trial, but some may not include this option.
Yes, we offer a 7-day free trial that allows you to make up to 50 API calls at no cost, so you can test our APIs without any commitment.
Zyla API Hub is like a big store for APIs, where you can find thousands of them all in one place. We also offer dedicated support and real-time monitoring of all APIs. Once you sign up, you can pick and choose which APIs you want to use. Just remember, each API needs its own subscription. But if you subscribe to multiple ones, you'll use the same key for all of them, making things easier for you.
Service Level:
93%
Response Time:
4,280ms
Service Level:
100%
Response Time:
55ms
Service Level:
100%
Response Time:
369ms
Service Level:
100%
Response Time:
58ms
Service Level:
100%
Response Time:
307ms
Service Level:
100%
Response Time:
11,754ms
Service Level:
100%
Response Time:
682ms
Service Level:
100%
Response Time:
2,807ms
Service Level:
100%
Response Time:
94ms
Service Level:
100%
Response Time:
1,838ms