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Home/Blog/Programming/Top 20 APIs to solve everyday problems

Top 20 APIs to solve everyday problems

Tate Dorman
Oct 17, 2022
21 min read

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APIs are an essential part of many developers’ and software engineers’ skill sets. They are used for front-end and web application development as well as software engineering and even data science. Plenty of fields rely on APIs to allow software to function harmoniously. As a result, APIs are a great way to build dynamic apps or demonstrate competency to a prospective employer. Getting started with an API relevant to your field or even your personal interests can serve as a great way to get real-world experience.

This article aims to connect you with an API or even a suite of APIs that resonate with you. We’ll provide an overview for 20 APIs, grouped by function.

We’ll cover:


Get started with APIs today.#

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What is an API?#

APIs, or Application Programming Interfaces, are the intermediary between two different software systems. They enable communication through a set of functional rules called protocols. Requests sent from one system to another via an API are calls. The client system, or API client, makes the request, and the receiving system, or API server, responds with the corresponding resource or action.

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Basic API terminology#

There are several terms to be familiar with when covering different APIs.

  • API endpoint: API endpoints are the URLs that are used to access the functional permissions of an API. Here are two example endpoints from the Freshbooks API for bookkeeping:

    • Create and list clients: https://api.freshbooks.com/accounting/account/{ACCOUNT_ID}/users/clients
    • Update a client: https://api.freshbooks.com/accounting/account/{ACCOUNT_ID}/users/clients/{CLIENT_ID}
  • API resources: API resources are the data retrieved by the API in response to a request. For example, the Freshbooks API can track addresses of users. Just a few of the resources that the API can provide are: street_no, zip, and state.

  • API keys: Unique identifiers that authenticate your request so the API knows it is valid. This sort of security is necessary for the API to differentiate between legitimate and illegitimate requests.

  • API calls: The request submitted by the client to the API. API calls typically involve an endpoint, an HTTP request verb, a header, and an API key.

APIs have varying degrees of access as well. These types inform confidentiality and release policy standards for APIs.

  • Private: These are organization specific APIs that are exclusively used for internal purposes.
  • Partner: API access can be shared with business partners or other approved parties; partner APIs are used to enforce quality control standards.
  • Public: Also known as “Open APIs,” they are similar to open source software; public APIs are available for use by the general public.

Most APIs require some level of authentication to differentiate legitimate requests from fake ones. Getting started with an API will typically involve signing up for a developer account through whatever service offers the API. This is usually a fairly simple process in which you provide a justification as to what you will use the API for; the developers need to understand what permissions your application will require. The specifics of retrieving developer credentials for any API vary, but most are relatively straightforward.


An API for every use case#

Now, we’ll break down 20 APIs and provide an overview of their functions and what you can expect to get out of them.

Each of these APIs is designed specifically for analyzing content and performing natural language processing requests. They facilitate sophisticated AI applications without heavy local machine learning computation.

Microsoft Computer Vision APIs#

Microsoft Azure Cognitive Services launched their Microsoft Computer Vision APIs as a cloud-based offering for analyzing images and video content. According to Microsoft, the APIs can:

  • Analyze video in real time
  • Automate text extraction
  • Boost content discoverability

Beginner friendly: No machine learning expertise is required.

Microsoft’s documentation breaks the Computer Vision API suite into four main categories:

  • Optical character recognition: extract text from images
  • Image analysis
  • Face: Facial recognition
  • Spatial analysis

A couple of endpoints to note for Optical Character Recognition are:

  • Call the Read API and perform a Read operation on both handwritten and printed images: https://{endpoint}/vision/v3.0-preview/read/analyze[?language]
  • Retrieve the result of a Read operation as a character stream: https://{endpoint}/vision/v3.0-preview/read/analyzeResults/{operationId}

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Integrating Microsoft Computer Vision API with Python

In this course, you will learn to integrate Microsoft Computer Vision API. This API provides multiple functionalities such as extracting text from images, describing the image in human-understandable language, and moderating the content of an image. More specifically, you will dive into Optical Character Recognition (OCR) and image analysis, effectively giving you a toolset to analyze any image you want.

1hr 30mins
Beginner
13 Playgrounds
28 Illustrations

Cloudmersive Natural Language Processing API#

Cloudmersive is a platform that hosts APIs for a range of deep learning and machine learning applications. In addition to their Natural Language Processing (NLP) API, they have image recognition, deep learning, and more. Cloudmersive’s NLP API is a sophisticated tool capable of many different natural language functions:

  • Language detection
  • Rephrasing
  • Segmentation
  • Language translation
  • Part of speech tagging

A couple of noteworthy features and endpoints are:

  • Analyze if text is positive, negative, or neutral in tone: POST /nlp-v2/analytics/sentiment
  • Detect profanity: POST /nlp-v2/analytics/profanity
  • Rephrase a sentence up to 10 different ways: POST /nlp-v2/rephrase/rephrase/eng/by-sentence

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Performing NLP Tasks Using the Cloudmersive API in Python

Cloudmersive’s Natural Language Processing (NLP) API is a highly flexible, helpful tool to add to the software engineer’s toolkit as it provides documentation of several APIs. In this course, you’ll be introduced to Cloudmersive’s NLP API. You’ll learn to perform basic linguistic operations using API calls, including semantic analysis, language detection, and translation between languages. You’ll also learn how to request a segmentation and rephrase a sentence through the API. Towards the end of the course, you’ll learn how to demonstrate all the operations of Natural Language Processing using the Cloudmersive NLP API in a Django application with the help of a demo application.

1hr 30mins
Beginner
8 Playgrounds
19 Illustrations

OpenAI API#

OpenAI’s Natural Language Processing API is based on one of the most well-known and sophisticated AI’s, GPT-3. It is capable of a wide variety of NLP tasks as well as “Codex,” a technology that interprets text and writes it as code. Open AI’s API is being used at businesses like IBM, Salesforce, Cisco, and Intel.

The OpenAI API processes text in chunks called tokens. These tokens may be words or just groups of characters. Many tokens start with one whitespace.

The completion endpoint takes an unfinished statement as a prompt and returns a prediction of the completed text.

This endpoint takes an HTTP POST request and looks like this:

https://api.openai.com/v1/completions

If you’re interested in learning more about machine learning APIs or simply curious about how to get more out of NLP APIs the course Using OpenAI API for Natural Language Processing in Python is for you.

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Using OpenAI API for Natural Language Processing in Python

As consumers rely more and more on search engines and technical software programs to answer their questions, the demand for effective and scalable natural language processing has gone immensely up. OpenAI provides access to the GPT model, which can perform several operations for NLP-related tasks such as summarization, classification, text completion, text insertion, and more. In this course, you’ll learn about the various endpoints of the OpenAI API and how they can be used to accomplish certain NLP tasks. You’ll also look at examples of each endpoint to show how they work. By the time you’re done with this course, you’ll be able to work on your own projects using the OpenAI API.

1hr 30mins
Beginner
22 Playgrounds
30 Illustrations

From point of sale, to bookkeeping, to shipping, these APIs help create your own e-commerce application to fully realize your side-hustle dreams.


Square APIs#

Square provides a whole host of various APIs capable of almost anything you’d want out of a point of sale (POS) system. The Square suite of APIs is built to cover almost all essential business workflows. They have services for accepting and refunding payments, creating and tracking orders, managing a product catalog, and much more.

To get access to all of the Square APIs you’ll need to create a developer account. After you’ve created an account you can access Square’s Developer Dashboard and test API requests for any of the services that they offer.

Square offers SDKs for: Java, .NET, Node.js, PHP, Python, and Ruby

A couple of relevant APIs for side-hustle businesses are:

  • Invoice API:
    • Create an invoice: https://connect.squareupsandbox.com/v2/invoices
  • Order API:
    • Retrieve one or multiple orders with their order IDs: https://connect.squareupsandbox.com/v2/orders/{order_id}

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Handling Financial Services with Square API in Python

Square offers digital payments and financial services to its customers. Developers can learn to integrate Square APIs to help businesses of almost all types and sizes grow. This course provides a strong foundation with Square APIs for business operations. You'll get introduced to different payment, order, and invoice APIs. By the end of the course, you'll get hands-on experience with an e-commerce web application integrated with Square APIs. You’ll use these APIs to complete the purchase and payment workflow. Such a workflow usually requires creating an order, generating an invoice, and finally paying for it. Square takes care of all of it with just a few API calls.

1hr 30mins
Beginner
43 Playgrounds
21 Illustrations

Freshbooks API#

Freshbooks is an accounting service that streamlines expense tracking, inventory management, invoicing, and payments. With its software as a service (SaaS) model, Freshbooks mainly targets small to medium-sized businesses. If you’re planning on starting a business or just want to keep track of your side-hustle, having a way to monitor expenses and store payment records is essential.

The Freshbooks API is a wonderful tool for automating these bookkeeping tasks. In addition to the example endpoints in the introduction, the API can:

  • Retrieve a payment: https://api.freshbooks.com/accounting/account/{accountid}/payments/payments/{payment_id}
  • Calculate the time spent working for a client: GET https://api.freshbooks.com/timetracking/business/{business_id}/time_entries

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Bookkeeping with FreshBooks API in Python

FreshBooks is an accounting platform for small and medium businesses. This course is a comprehensive introduction to using the FreshBooks API. In this course, you’ll learn about the API and its various endpoints. You’ll learn how to create, update, and transfer customer and client records. You’ll also learn how to generate invoices and use the Freshbooks API to update payment and expense records.

1hr 30mins
Beginner
35 Playgrounds
13 Illustrations

Shippo API#

Shippo is a full shipping solution that provides small businesses with all the tools necessary to ship, track, manage addresses, etc. The Shippo API can create, update, and retrieve:

  • Addresses
  • Parcels
  • Shipments
  • Shipment rates
  • Transactions
  • Shipment tracking

The core of the Shippo API is the Shipments function. Shipments are objects that include information about the “to” and “from” addresses and the object shipped.

  • Create a shipment: https://api.goshippo.com/shipments/
  • Retrieve a shipment: https://api.goshippo.com/shipments/{shipment_object_id}

Refer to the Shippo documentation to explore more about the API’s capabilities.

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Seamless Shipping with the Shippo API in Python

Shippo is a shipment management platform to create, track, and bill shipping on a wide array of carriers. The Shippo API allows e-commerce merchants to integrate these shipping functions directly into digital storefronts, creating a seamless customer experience. This course is an introduction to the Shippo API and its endpoints. You’ll start with the authentication for your application using Shippo’s developer environment before moving onto requesting and generating shipping data. You’ll create the details of your shipment with address and parcel data. You’ll also learn to integrate Shippo’s various carrier partners (UPS, DHL, FedEx, and more). Then, you’ll generate a rate quote and process the transaction to generate shipping details so a package can be tracked. You’ll wrap up by building a completely functional web application in Django. By the end of this course, you’ll be ready to create customized shipping options in any e-commerce environment using the Shippo API.

1hr 30mins
Beginner
18 Playgrounds
17 Illustrations

These APIs are centered around connecting you to your workspace. They’ll give you even more control through clever automations and custom workflows. We’ll cover the basics of the GitHub, Slack, and Dropbox APIs.


GitHub API#

GitHub offers a Rest API that enables developers to automate repetitive tasks and achieve new levels of functionality across their projects and in their repositories. The GitHub API pulls information directly from GitHub and returns it in the JSON format. Additionally, multiple developers working on the same project can automatically update pull requests and commits on branches of repositories.

Just a few of the functionalities the API is capable of are:

  • Code management
  • Collaboration
  • Deployment

Operations you may find useful are:

  • Create a repository: POST /orgs/{org}/repos
  • Create and update pull requests
    • Create: POST /repos/{owner}/{repo}/pulls
    • Update: PATCH /repos/{owner}/{repo}/pulls/{pull_number}
  • Create deployments and list their statuses
    • Create: POST /repos/{owner}/{repo}/deployments
    • List: GET /repos/{owner}/{repo}/deployments/{deployment_id}/statuses

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Managing Your Codebase with the GitHub API in Python

GitHub is one of the most popular code management platforms for software engineers. Developers can use Git to create and edit both personal and shared repositories, control access, and fork projects into various branches. These changes are approved by collaborators and merged back into the main branch before a final release. This course will walk you through various GitHub APIs and their endpoints. You’ll be introduced to authentication and integration with a GitHub developer account to leverage the APIs to manage your code. Next, you’ll learn to manage repositories, branches, commits, projects, collaborators, and more. By the end of this course, you’ll be able to build a demo application integrated with GitHub APIs.

1hr 30mins
Beginner
45 Playgrounds
27 Illustrations

Slack API#

The Slack API opens new doors to make the collaboration and workspace tool even more effective. It can automate repetitive tasks like approvals and feedback, and it even supports custom workflows. You can even integrate functionality from external applications through the API.

The Slack documentation even has a section for how to build your own Slack apps that function in their web app using their built-in toolkit,Block Kit.

A couple of common https://slack.com/api/ endpoints are:

  • Send a message: chat.postMessage
  • Access conversation history: conversations.history
  • List files for a particular team, channel, or user: files.list

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Automations with the Slack API in Python

Slack is a flexible instant messaging platform for organizations. It allows you to connect with your colleagues, share documents, and organize teams. It also allows teams to collaborate with images, videos, voice messages, and huddles across teams, time zones, and physical spaces. Slack’s API has allowed it to become a highly integrated productivity tool. In this course, you’ll become efficient at automating chats, managing channels, and making interactive messages using the API. Learn how to share and manage files on Slack using the API. At the end of the course, you’ll use Slack’s Bolt for Python framework for building a small, custom application and integrating with Slack directly.

1hr 30mins
Beginner
41 Playgrounds
69 Illustrations

Dropbox API#

Dropbox is a cloud storage company that offers a comprehensive suite of file management services including: editing, sharing, and remote access. The Dropbox API can help manage these services and increase productivity by:

  • Accessing custom workflows
  • Authorizing admin functionality privileges
  • Working directly with dropbox files

The newly retooled Dropbox API v2 even includes advanced functionality like full-text search, thumbnails, and sharing. The Chooser and the Saver components allow developers to select and save content both to and from Dropbox. You can even automate notifications from Dropbox with webhooks that alert you whenever a change is made to a file you are working on.

Some common endpoints to be familiar with are:

  • Download a file from a user’s dropbox: https://content.dropboxapi.com/2/files/download
  • Create a new file with contents (up to 150MB) provided in the request: https://content.dropboxapi.com/2/files/upload
  • Create a shared link with custom settings: https://api.dropboxapi.com/2/sharing/create_shared_link_with_settings

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Get Started with the Dropbox API in Python

Dropbox is one of the most used online storage services provided by Dropbox, Inc. It is used by a huge community to create and store important files and folders. This allows them to share these files with individual colleagues or team members, and enables them to collaborate on shared files remotely. This course is intended to teach the learners to perform these tasks with the help of Dropbox API. This is a beginner-level course that provides a step-by-step guide to using Dropbox API endpoints. The learner of this course will get playgrounds to test every endpoint discussed in the lessons.

1hr 30mins
Beginner
25 Playgrounds
17 Illustrations

These APIs work to communicate stock market trends, keep tabs on cryptocurrencies, and automate payments across borders and currencies.


Yahoo Finance API#

The YH Finance API is a free tool that enables you to pull stock market data directly from Yahoo Finance. It can retrieve both real-time information as well as historical data, so you can accurately examine a financial security.

The API is fairly small compared to others on this list, and does not feature the most comprehensive documentation. It features a total of 11 endpoints. Nine return information related to securities, and the other two show market trends.

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All of the endpoints are GET requests. Some notable endpoints are:

  • Real-time quote data: https://yfapi.net/v6/finance/quote
  • Get the option chain for a specific symbol: https://yfapi.net/y7/finance/options/symbol
  • Retrieve stock history for a maximum of 10 symbols: https://yfapi.net/v8/finance/spark

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Getting Financial Data Using YH Finance API in Python

The YH Finance API allows developers to implement market and securities data directly into their applications. This course is a hands-on guide to the YH Finance API in Python. Get started with the API’s various endpoints. Learn more about the general API spec and how to set up an account to generate an API key on the YH Finance platform. Find out more on how to query historical and real-time data for stocks, ETFs, and similar securities. With direct access to market data, you’ll integrate the API endpoints into a finance application written in Django, a Python framework. You'll gain a basic understanding of working with YH Finance data in this course. You’ll finish with reflection and resources to leverage the YH Finance API further.

1hr 30mins
Beginner
14 Playgrounds
22 Illustrations

Wise API#

Wise is a London based service for global bank accounts. It currently offers seamless transfer between 50 different currencies. Wise’s goal is to connect international customers and businesses by alleviating the reliance on banks and their hidden exchange rate markups. The platform is built around streamlining the currency exchange process and creating new opportunities for fledgling businesses and world travelers.

Wise offers several different APIs in their developer suite:

  • Payouts
  • Banks
  • Affiliates
  • Receive money
  • Open banking

The API relevant to most users is Payouts, as it allows users to automate their own Wise account. The Payouts API can automate the entire process of sending and receiving money. It includes endpoints that:

  • GET profile information: https://api.transferwise.com/v3/profiles/{profileId}/subscriptions/{id}
  • Add a recipient of funds with an accompanying IBAN number or account code: https://api.sandbox.transferwise.tech/v1/profiles
  • Calculate a quote that includes the exchange rate and fees: https://api.sandbox.transferwise.tech/v3/profiles/{profileId}/quotes
  • Transfer funds: https://api.sandbox.transferwise.tech/v1/transfers

Note: the above endpoints use the POST request unless specifically noted.

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Sending and Receiving Money with Wise Payouts API in Python

Wise is a money transferring service previously known as TransferWise. It allows users to send and receive money to and from multiple currencies around the world. This course will teach Wise API. This is a beginner-level course that provides a step-by-step guide to transferring money from a multi-currency account. You’ll get playgrounds to test every endpoint discussed in the lessons.

1hr 30mins
Beginner
7 Playgrounds
20 Illustrations

CoinAPI#

CoinAPI is a service that compiles all cryptocurrency market data into a one-stop-solution. The API itself is an HTTP Restful API that returns data in JSON, XML, or CSV formats. They also offer software development kits on GitHub in almost any language you require.

CoinAPI offers several different API services, but the one popular with most users is the Market Data API. This API provides high quality real-time and historical data that is standardized across different exchanges.

Hands on: If you want to try out the API but don’t want to spend the time building your own web app, Coin offers a sandbox environment. Here you can familiarize yourself with a sample of data from a few market sources.

A couple of endpoints to take note of are:

  • GET a list of all cryptocurrency assets (or a specific asset with {asset_id}): /v1/assets
  • GET the exchange rate between a pair of assets at a specified or current time: /v1/exchangerate/{asset_id_base}/{asset_id_quote}?time={time}
  • GET OHLCV (open, high, low, close, volume) data for a symbol over a period of time: /v1/ohlcv/periods

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Tracking the Cryptocurrency Market with CoinAPI using Python

CoinAPI is a toolkit for viewing market data for various cryptocurrency exchanges. As cryptocurrencies become increasingly popular financial assets, maintaining up-to-date market data is essential in evaluating the value of portfolios, managing risk, and setting trade strategies. This course will help you master the use of CoinAPI. You will be able to get data on different crypto assets, exchanges, trades, order books, and exchange rates, and understand what is meant by each of these terms. This course will also let you integrate CoinAPI with a simple Django web application and display cryptocurrency market data meaningfully.

1hr 20mins
Beginner
22 Playgrounds
17 Illustrations

Well-implemented videos work wonders at conveying pertinent information to viewers or potential customers. Videos are information-dense, high-value content that can bolster legitimacy and help increase the time that visitors spend on your website. These APIs enable different types of playback functionality, content management, and metadata tracking.



YouTube Data API#

The most widely used video playback service in the world, YouTube, offers multiple APIs as a part of its Google Developer Suite. As you might expect with a Google product, they are immensely functional and incredibly well-documented. Along with providing YouTube functionality to your own app or web page, they can also search for videos and channels, and provide valuable statistics pertaining to a channel or video.

This entry focuses on the YouTube Data API, which is great for accessing information like channel activity, comments and ratings, or even search results. If you want to get some insight into your own video metrics, the Youtube Data API documentation will help get you started.

You’ll need to obtain OAuth2.0 authentication credentials and create a project through Google Cloud.

Some important endpoints are:

  • Search for a video, channel, or playlist that matches parameters in the API request: GET https://www.googleapis.com/youtube/v3/search
  • Retrieve a list of videos: GET https://www.googleapis.com/youtube/v3/videos
  • Retrieve a list of channels that match request parameters: GET https://www.googleapis.com/youtube/v3/channels

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Integration With YouTube Data API in Python

Have you ever wanted to incorporate YouTube functionality into your website? If yes, then this course is definitely for you! Use the YouTube Data API to incorporate functions that are usually executed on YouTube directly into your website. In this course, not only will you learn basic concepts about YouTube videos, playlists, and comments, but also the different resources and methods to interact with them using YouTube Data API. Finally, you will learn about the project structure and integration of different resources in detail by looking at a sample application. By the end of this course, you will have gained hands-on experience with YouTube Data API and its various methods by building a web application.

1hr 30mins
Beginner
29 Playgrounds
57 Illustrations

Vimeo API#

The Vimeo API provides a slightly different experience than YouTube. As a service, Vimeo serves a smaller, more refined community than YouTube and its API reflects this. It can manage content, track metadata, and customize the playback experience. The API is simpler, but the core functionality remains sophisticated and useful.

Vimeo offers libraries for PHP, Python, and Node.js.

Vimeo uses the open standard oEmbed to insert Vimeo videos into external websites. The endpoint to know for placing videos with oEmbed is GET https://vimeo.com/api/oembed.json?url={video_url}.

Some other endpoints to note are:

  • Search for videos related to certain request parameters: https://vimeo.com/api/videos
  • Create and manage groups: https://vimeo.com/api/groups
  • Manage subscriptions: https://vimeo.com/api/users/{user_id}/channels/{channel_id}
    • Get a list of all the subscribers of a channel: https://vimeo.com/api/channels/{channel_id}/users

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Getting Started with the Vimeo API in Python

Vimeo is a popular social video platform that lets users host, edit, and stream videos in the browser or mobile applications. This course introduces the Vimeo API, which allows users to manage their channels, videos, and communities through various endpoints. After generating your credentials with Vimeo, you’ll learn Vimeo’s categorization system and how to request videos, channels, or groups by category. You’ll then learn how to search and edit user preferences based on categories and return videos across categories. You’ll then manage Vimeo channels, subscriptions, and tags before directly searching for videos and related content. Finally, you’ll perform searches and manage Vimeo Groups using the API. You’ll wrap up with a functional Vimeo application in Django. By the end of this course, you’ll have functional mastery of the Vimeo platform and be prepared to create social video environments using the Vimeo API.

1hr 30mins
Beginner
31 Playgrounds
19 Illustrations

Dailymotion Data API#

Much like YouTube and Vimeo, Dailymotion is a service that facilitates video uploads and video playback, as well as channels and playlists. The Dailymotion API supports HTTP requests GET, PUT, and DELETE, and it returns information in a JSON format. They offer complete SDKs in:

  • JavaScript
  • PHP
  • Python

Dailymotion offers other solutions for efficiently embedding videos with Swift and Android.

You can embed the video player with a single-line script that can be placed anywhere in the <body> tags of your web application.

An example of this script, taken from the Dailymotion documentation, is:

Specifically focusing on the Dailymotion Data API, you can create comprehensive, custom reports that reflect video metrics. Dailymotion was built with object-oriented design, so each object (video, user, playlist, etc.) has hierarchical relationships.

Some endpoints to be aware of:

  • GET a specific channel: https://api.dailymotion.com/channel/{channel_id}
  • GET a video or list of videos: https://api.dailymotion.com/video/{video_id}
  • GET the information related to a specific player: https://api.dailymotion.com/player/{player_id}

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Surfacing Video Data with the Dailymotion Data API in Python

Dailymotion is a widely-used video platform that supports the creation, editing, editing, and sharing of videos online. This course is a comprehensive introduction to the Dailymotion Data API, which allows users to interact with the video catalog in various ways. After generating your API credentials, you’ll learn to request videos and playlists from the Dailymotion catalog, including custom filters on videos and playlists presented to your users. You’ll then review user information before pulling Dailymotion channel data. Finally, you’ll integrate the Dailymotion Data API into a functional web application using Django. By the end of this course, you’ll be ready to integrate the Dailymotion catalog and the users’ data into your social video applications.

1hr
Beginner
19 Playgrounds
20 Illustrations

These two APIs are centered around expanding the functionality of well-known social media forum Reddit and blog-hosting service Blogger. Both APIs can provide useful automations and custom applications that improve or expand your social spaces.



Reddit API#

Many developers create useful tools, like bots, with the Reddit API. If you’re ever on Reddit, chances are you’ve come across a comment bot. These applications scrape comment data on certain domains and respond accordingly. Features like this are especially useful when it comes to moderation, community guidelines, and notifications sent to new posts.

Machine learning: Because of its vast amounts of text, Reddit is often used to train machine learning programs.

In addition to using the API directly, there is also a wrapper that can be imported into Python.

Some endpoints worth noting:

  • Retrieve 25 of the most recent posts from a particular subreddit: https://oauth.reddit.com/r/{subreddit}/new
  • Get the comment thread for a particular post: https://oauth.reddit.com/r/{subreddit}/comments/{post}
  • Comment on a post: https://oauth.reddit.com/api/comment

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Getting Started with the Reddit APIs in Python

Reddit is a social media platform that allows users to create and manage communities around many various topics. Users can vote and comment on posts made by other users, which allows for better content to rise to the top. In this course, you’ll learn to create and manage various Reddit content features using the Reddit API. You’ll start with an API token to ensure secure interaction with Reddit before diving into the API’s various functions. You’ll learn to create a subreddit, posts, and comments. Next, you’ll learn how to read the material and react to it with Reddit’s voting system. Additionally, you’ll review the Python Reddit API Wrapper (PRAW), which allows for a faster and simpler development experience. You’ll finish by integrating PRAW with a Django application. By the end of the course, you’ll be able to build a fully functional Reddit client to create, interact, and manage content using the Reddit API.

1hr 30mins
Beginner
23 Playgrounds
13 Illustrations

Blogger API#

Blogger is a service that allows anyone to own and operate their own blog. Their API provides convenient functionalities:

  • Create, update, and delete blog posts
  • Retrieve page view analytics

It operates on five main resources:

  • Blogs
  • Posts
  • Comments
  • Pages
  • Users

Blogger is a REST API that returns data in the JSON format. Requests are made with standard REST HTTP mappings such as: GET, PUT, DELETE, POST, and PATCH.

Some common endpoints are:

  • POST a new page : https://blogger.googleapis.com/v3/blogs/{blogId}/pages
  • POST a new blog post: https://blogger.googleapis.com/v3/blogs/{blogId}/posts
  • GET a user’s information: https://www.googleapis.com/blogger/v3/users/userId

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Blogging Using the Blogger API in Python

Blogger is a popular web publishing platform built and maintained by Google. Many popular websites use the content management system, including the Python Software Foundation, Girl Scouts, and Flipboard. This course is an introduction to the Blogger API, which allows users to search and manage both user data and blog content. After learning to view user profiles and their blog entries, you’ll start creating and managing your Blogger-based website. You’ll learn how to create and update pages, search your blog index, and publish blog posts. You’ll also learn how to edit, revert, and delete content. You’ll finish by building a complete application using Django. By the end of this course, you’ll be deeply familiar with the Blogger API and its endpoints. You’ll be ready to build a fully functioning blog application using Django.

1hr 30mins
Beginner
22 Playgrounds
54 Illustrations

These APIs are centered around applications and services you may use when planning a trip or engaging in leisure activities. We’ll cover the AccuWeather APIs, the Ticketmaster API, and the Amadeus API.



AccuWeather APIs#

AccuWeather is a weather-forecasting and reporting technology. There are two main types of AccuWeather APIs: the Core weather API and the MinuteCast API. The Core weather API provides endpoints for a range of functions. Most notable are daily and hourly weather forecasts and current conditions. The MinuteCast API enables users to retrieve a detailed 120-minute precipitation forecast in a given area.

The Core weather API is further extruded into more specific APIs.

  • Locations API
  • Forecast API
  • Current Conditions API
  • Indices API
  • Weather Alarms API
  • Alerts API
  • Imagery API (Satellite imagery)
  • Tropical API (monitors tropical storms)
  • Translations (multiple language translations)

Outside of meteorology or extreme weather conditions and alerts, the most useful functions of AccuWeather are the Locations, Forecast, and Current Conditions APIs.

Example endpoints from these are:

  • Return cities matching the search parameters: http://dataservice.accuweather.com/locations/v1/cities/search
  • Return five days of daily forecasts for a given location: http://dataservice.accuweather.com/forecasts/v1/daily/5day/{locationKey}
  • Return the current conditions for a given location: http://dataservice.accuweather.com/currentconditions/v1/{locationKey}

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Tracking Forecasts with the AccuWeather APIs in Python

AccuWeather uses atmospheric and location data to build highly accurate and localized forecasts for all locations around the globe. Its applications are leading weather forecast providers on both iOS and Android. This course will introduce you to AccuWeather APIs and their integration. You’ll learn how to use the Forecasts API to look at upcoming weather patterns and the Current Conditions API to get real-time weather information. Next, you’ll look at historical weather and statistical models using the Indices API. You’ll wrap up by combining these APIs with Django and making a functional weather application using the AccuWeather APIs. By the end of the course, you’ll know how to access weather data using the AccuWeather APIs. You’ll also be familiar with a wide variety of its potential uses for further exploration.

1hr 30mins
Beginner
11 Playgrounds
17 Illustrations

Ticketmaster API#

Ticketmaster is the most widely used events ticketing system globally. They offer several different APIs:

  • Discovery API
  • Partner API
  • Inventory Status API
  • International Discovery API
  • Season Ticketing API
  • Presence API (for venues and ticket scanning)

The most relevant APIs for general consumers are the Discovery API and the Inventory Status API.

Some endpoints for the Discovery API are:

  • GET event details: https://app.ticketmaster.com/discovery/v2/events/{event_id}
  • GET venue details https://app.ticketmaster.com/discovery/v2/venues/{venue_id}
  • GET search a list of venues according to request parameters: https://app.ticketmaster.com/discovery/v2/venues

The Inventory Status API has only one endpoint:

  • Availability: https://app.ticketmaster.com/inventory-status/v1/availability

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Surfacing Event Data with the Ticketmaster APIs in Python

Ticketmaster is a global leader in inventory management and sales of tickets for various events. The Ticketmaster APIs offer various integrations to help attendees and venues surface inventory and pricing and facilitate buying or selling tickets on the Ticketmaster marketplace. In this course, you’ll learn about the basics of Ticketmaster’s Discovery and Inventory Status APIs. You’ll learn to use these APIs to retrieve data related to events. Additionally, you’ll learn to integrate the workings of these APIs in a Django application. By the end of this course, you’ll have hands-on experience building a web application using these APIs.

1hr 30mins
Beginner
29 Playgrounds
36 Illustrations

Amadeus APIs#

Amadeus is a trip-planning technology that aims to streamline travel. They offer two tiers of APIs, self-service and enterprise. The self-service APIs are free and intended to be for personal travel assistance. In the self-service tier there are four overarching categories of APIs that get broken down even further.

There are far too many APIs to list outright, so we’ll include those most relevant to planning your own trips.

  • Air APIs
    • Flight Offers Search
    • Flight Create Orders
  • Hotel APIs
    • Hotel Search
    • Hotel Booking
  • Destination Content APIs
    • Points of Interest
    • Tours and Activities
  • Trip APIs (these are intended for travel agents and advertising)
    • Trip Purpose Prediction
    • Travel Recommendations

Wander: The Amadeus developer documentation houses all these APIs and more if you want to explore the full functionality of their API suite.

The endpoints you’ll need to find and book a flight are:

  • Search for flights: https://test.api.amadeus.com/v2/shopping/flight-offers
  • Search for airports and cities: https://test.api.amadeus.com/v1/reference-data/locations
  • Create a booking for a particular flight order: test.api.amadeus.com/v1/booking/flight-orders

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Planning the Perfect Vacation with Amadeus APIs in Python

Amadeus Travel APIs connect users to the richest information repository in the travel industry. They allow users to build, innovate, and launch high-quality applications to assist with various travel operations. In this course, you’ll learn how to search cheapest flights for a trip, inquire about flight status, and search cities and airports. You’ll also learn how to search for hotel ratings and get the best cost for over 150,000 hotels worldwide. Moreover, you’ll generate trip recommendations, find places to visit and identify activities at planned destinations. Lastly, this course will provide some recommendations and resources to further explore Amadeus Travel APIs.

1hr 30mins
Beginner
12 Playgrounds
20 Illustrations

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Whether you’re a fresh developer or a seasoned API integrator, we hope you learned something about these APIs. They are all incredibly deep technologies that, with a little creativity, can be incorporated into new and brilliant applications. If you want guided instruction, we offer a unique course for each of the APIs mentioned in this article.

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