The Ultimate Guide to GitHub REST API

• March 10th, 2022

GitHub REST API | Hevo Data

Behind every prominent app in today’s market, there is an enterprise system that fetches information from the Cloud or Servers with one or many REST APIs. Today, REST APIs are the medium to make an organization’s assets consumable and productive through third-party applications. With APIs, organizations are able to monetize their core assets by allowing the development of new services on top of the existing ones or streamlining the existing processes. GitHub REST API is one such solution that is playing a major role by acting as a catalyst that allows end-users to easily fetch, consume, or extract data from any repository on GitHub effectively.

In this article, you will learn what REST APIs are and how GitHub REST API is leveraged to load and extract data with API calls.

Table of Contents

Prerequisites

  • A very basic understanding of GitHub.

What is GitHub?

Acquired by Microsoft, GitHub is a web-based collaboration service for developers across the world. It is the centralized location for sharing codes, distributing data, and collaborating on different projects. GitHub offers features like forking, pull requests, issues, and more that allow users to specify, discuss, and review changes with their teams more effectively. Due to GitHub’s wider capabilities, it is not only considered a code hosting platform but also a development interface that allows users to plan, develop, and track the evolution of projects.

Key Benefits of GitHub

GitHub is the home for a wide range of open-source projects where the source code is freely available online that can be redistributed and modified later according to your needs. However, it is not limited to open-source or not-for-profit projects. GitHub is equally popular among organizations to host and collaborate on private projects. There are numerous features like branching, forking, and more to allow users to collaborate with minimal hassles. While forking enables users to copy others’ repositories and modify them according to their needs, branching allows working on different versions of a repository at a time when users want to experiment with diverse methods for the same project.

In a nutshell, GitHub is a platform that satisfies all the document requirements, allows users to collaborate on independent streams, review each other’s work in progress, resolve conflicts, and work in teams to achieve more remarkable results.

Simplify GitHub ETL with Hevo’s No-code Data Pipeline

A fully managed No-code Data Pipeline platform like Hevo Data helps you integrate and load data from 100+ Different Sources (40+ Free Data Sources like GitHub) to a Data Warehouse or Destination of your choice in real-time in an effortless manner. Hevo with its minimal learning curve can be set up in just a few minutes allowing the users to load data without having to compromise performance.

It helps transfer data from GitHub to a destination of your choice for free. Its strong integration with umpteenth sources allows users to bring in data of different kinds in a smooth fashion without having to code a single line. 

Get Started with Hevo for free

Check out some of the cool features of Hevo:

  • Completely Automated: The Hevo platform can be set up in just a few minutes and requires minimal maintenance.
  • Connectors: Hevo supports 100+ Integrations to SaaS platforms like GitHub, files, Databases, analytics, and BI tools. It supports various destinations including Google BigQuery, Amazon Redshift, Snowflake, Firebolt Data Warehouses; Amazon S3 Data Lakes; and MySQL, SQL Server, TokuDB, DynamoDB, PostgreSQL Databases to name a few.  
  • Real-Time Data Transfer: Hevo provides real-time data migration, so you can have analysis-ready data always.
  • 100% Complete & Accurate Data Transfer: Hevo’s robust infrastructure ensures reliable data transfer with zero data loss.
  • Scalable Infrastructure: Hevo has in-built integrations for 100+ sources (including 40+ free sources) such as GitHub, that can help you scale your data infrastructure as required.
  • 24/7 Live Support: The Hevo Team is available round the clock to extend exceptional support to you through chat, email, and support calls.
  • Schema Management: Hevo takes away the tedious task of schema management & automatically detects the schema of incoming data and maps it to the destination schema.
  • Live Monitoring: Hevo allows you to monitor the data flow so you can check where your data is at a particular point in time.
Sign up here for a 14-day Free Trial!

What is REST API?

API (Application Programming Interface) allows one software to talk with other software by sharing a set of data and functionalities among applications. However, REST API (Representational State Transfer) is currently an essential aspect of the modern Web World as it connects more applications with fewer resources due to its superior design and architecture.

REST is an architecture to enables developers to create APIs that standardize how information is shared across the web. REST API creates an object of the data requested by clients and sends objects’ values in response to requests. Since REST defines an architectural approach for communication between client and server, it eliminates the need for wider bandwidths to allow the transfer of information and make an application more suitable for the Internet. Today, the REST architectural schema is commonly applied to design most of the APIs for modern web applications.

To make APIs RESTful in nature, end-users should follow a set of constraints while developing them. Those constraints are:

  • Uniform interface
  • Statelessness
  • Layered system
  • Decoupled service
  • Cache

1) Uniform Interface

The uniform interface constraints ensure that the detailed internal implementation in the server for managing resources should not be visible to clients. It is a key constraint that distinguishes between REST APIs and Non-REST APIs.

2) Statelessness

It ensures that all client-server interactions are stateless. The history of recent HTTP requests made by a client should not be stored on the server. One client can send multiple requests to the server, but each request should be independent.

3) Layered System

The REST architecture should be built of multiple layers. There should be no connection between layers. Because of the isolation between layers, the calls and responses go through different layers. This allows new commands to be added without impacting previous commands and their functionality.

4) Decoupled Service

The decoupling of client-server shows the isolation between client and server. While a service listens to requests and has multiple capabilities, any request made by consumers is either accepted or rejected by the server.

5) Cache

Caching ensures performance improvement and scalability. The same server can be accessed by multiple clients simultaneously requesting the same source, so it is essential that these responses can be cached to avoid unnecessary processing.

Key Benefits of REST APIs

REST API (server) can be consumed by a vast range of applications (client) like Web browsers, Desktop applications, Mobile Applications, IoT devices, and more since REST APIs integrate systems without the need for higher computation.

It uses the most prominent transfer protocol of the Internet called HTTP protocol for interaction between client and server by using JSON or XML file format. Ideally, all APIs will have documentation to describe how to communicate with the endpoints/end users, but as REST APIs standardize the interactions, they can be used to achieve exceptional development goals.

What is the Need for GitHub REST API Integration?

Most organizations are now automating their workflows and REST APIs are one of the widely used interfaces that allow developers to manage applications and services. GitHub REST API Integration allows Developers to automate their development workflow by creating and managing repositories, branches, issues, requests, etc.

Also, you can connect your GitHub account with other applications, platforms, or services using GitHub REST APIs.

Using GitHub REST APIs

GitHub REST APIs allow users to communicate with GitHub and extract the desired information effectively by using an authenticated access token. With GitHub REST APIs, you can easily create and manage repositories, issues, branches, and more, with only a few lines of code. This eliminates the manual process of leveraging the user interface, especially when working with large projects.

GitHub REST API also allows users to authenticate with respect to the username to access repositories that are not publicly available. 

To generate a new token for authentication of GitHub REST APIs,

  • Step 1: Log in to the GitHub Account.
  • Step 2: Go to Settings >> Developer settings >> Personal access tokens.
  • Step 3: Then, click on generate a new token.
  • Step 4: Confirm the user password to continue.
  • Step 5: Add a description to the token.
  • Step 6: Under the select scopes option, check all the boxes.
  • Step 7: Finally, click on generate a new token.

How to Load and Extract Data using GitHub REST APIs?

Here, you’ll use CURL (command-line tool and library) to load data into GitHub and extract data from GitHub using the GitHub REST API. However, you can use several third-party libraries that support the programming language you prefer.

You can use the Base URL https://api.GitHub.com to obtain all the accessible API links that can be changed along with the respective keywords to access specific information.

To start, just run the command in your command prompt/terminal:

curl https://api.GitHub.com

You will be able to see a list of API URLs to perform different tasks.

GitHub REST API: API URLS | Hevo Data
Image Source

1) Loading the Data

Usually, when a user wants to load the data into GitHub, it is always needed to log in to the GitHub website and create a repository. By using the GitHub REST API, the process becomes much simpler, where a user can automate the entire process in a few lines of code.

Create a Repository using the GitHub API

$ curl -i -H "Authorization: token ghp_16C7e42F292c6912E7710c838347Ae178B4a" 
    -d '{ 
        "name": "blog", 
        "auto_init": true, 
        "private": true, 
        "gitignore_template": "nanoc" 
      }' 
    https://api.github.com/user/repos

The above command creates a new repository. The new repository will be named “Blog” and will be set to private. 

2) Extracting the Data

Similarly, Data Extraction also becomes way more straightforward with GitHub REST APIs. The following commands allow users to create, manage, fetch, and control the public and private repositories on GitHub.

Get the User Profile

# GET /users/defunkt
$ curl https://api.github.com/users/defunkt

> {
>   "login": "defunkt",
>   "id": 2,
>   "node_id": "MDQ6VXNlcjI=",
>   "avatar_url": "https://avatars.githubusercontent.com/u/2?v=4",
>   "gravatar_id": "",
>   "url": "https://api.github.com/users/defunkt",
>   "html_url": "https://github.com/defunkt",
>   ...
> }

The above example shows the client request via HTTP and the output of the respective user profile data in JSON format. Unauthenticated clients can make 60 requests per hour. To get more requests per hour, authentication is a must. 

Get Repository Details of an Organization

$ curl -i https://api.github.com/users/octocat/repos

This command returns the repository details of an organization. In the above command, ‘orgs’ is the keyword for accessing the organization, ‘octo-org’ is the organization name, and ‘repos’ is the keyword for all the repositories the organization has.

List Repositories of Another User 

$ curl -i https://api.github.com/users/octocat/repos

This command returns all the repositories of a user. Here ‘octocat’ is the user name.

List Repositories of an Authenticated User 

$ curl -i -H "Authorization: token ghp_16C7e42F292c6912E7710c838347Ae178B4a"  https://api.github.com/user/repos

To access the repository of an authenticated user, provide the token in the command. 

Get Issues under one Organization

$ curl -i -H "Authorization: token ghp_16C7e42F292c6912E7710c838347Ae178B4a" 
    https://api.github.com/orgs/rails/issues

This is how you leverage GitHub REST APIs to seamlessly import and export data.

Conclusion

In a rapidly changing world, with REST APIs, developers are creating applications that are robust in nature. The objective of REST API is to couple services that follow specific web standards that are development-friendly, and flexible enough to use for any external applications. Since GitHub REST APIs satisfy these objectives, developers can increase productivity and develop web services to automate interaction with GitHub.

In case you want to export data from a source of your choices such as GitHub and REST APIs into your desired Database/destination then Hevo Data is the right choice for you! 

Visit our Website to Explore Hevo

Hevo Data provides its users with a simpler platform for integrating data from 100+ Data sources such as GitHub & REST APIs for Analysis. It is a No-code Data Pipeline that can help you combine data from multiple sources. You can use it to transfer data from multiple data sources into your Data Warehouse, Database, or a destination of your choice. It helps transfer data from GitHub & REST APIs to a destination of your choice for free. It provides you with a consistent and reliable solution to managing data in real-time, ensuring that you always have Analysis-ready data in your desired destination.

Want to take Hevo for a spin? Sign Up for a 14-day free trial and experience the feature-rich Hevo suite first hand. You can also have a look at our unbeatable pricing that will help you choose the right plan for your business needs!

Share your experience of learning about GitHub REST API. Tell us in the comments below!

No-code Data Pipeline for GitHub