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In this constantly changing technological environment, WebRTC has become a game-changer, revolutionizing real-time communication within web browsers. WebRTC (or Web Real-Time Communication) is an open-source project that provides a number of protocols and APIs that enable peer-to-peer communication. This ground-breaking technology has gained enormous appeal due to its simplicity, adaptability, and seamless integration of audio, video, and data-sharing capabilities into online applications. It is estimated that over 4 billion devices worldwide are equipped with WebRTC capabilities. So, let’s dive into why you should think about using WebRTC in your next project and how to find the best WebRTC application development services.

The Advantages of a WebRTC Application

A WebRTC application is the top option for real-time communication solutions because of its many benefits:

1. Easy Browser Integration: WebRTC connects into web browsers without any additional plugins or software installs being required. Users may communicate instantly with one another without any difficulties or obstacles.
2. Peer-to-Peer Excellence: WebRTC allows for direct user-to-user communication, creating peer-to-peer connections. Bypassing middlemen, this leads to quicker and more effective communication.
3. Cross-Platform Compatibility: Including desktops, laptops, smartphones, and tablets, a WebRTC application works flawlessly with a variety of operating systems and gadgets. The accessibility and improved user experiences are ensured by the wide compatibility.
4. Versatile Multimedia Capabilities: WebRTC enables screen sharing, virtual meetings, conferences, and high-quality audio and video communication. Additionally, it allows for real-time data interchange, empowering programmers to design interactive and team-based applications.

Also read: Communication Tools | 5 tips for finding the perfect communication tool for remote teams

WebRTC in Action: Real-Life Applications

WebRTC finds extensive application across diverse domains, revolutionizing communication in numerous industries:

1. Transforming Video Conferencing and Collaboration: WebRTC fuels video conferencing platforms, enabling smooth virtual meetings, remote collaboration, and effortless screen sharing for businesses of all sizes. It eliminates the need for expensive hardware and complex setups, making communication convenient and cost-effective. The global video conferencing market was valued at around $10.6 billion in 2022, and it is projected to exceed $19 billion by 2027, driven by the escalating demand for real-time communication solutions.
2. Enhancing Customer Support and Engagement: WebRTC facilitates live chat and video chat features on customer support portals, enabling real-time interactions between customers and agents. This elevates the quality of support, builds trust, and enhances overall customer satisfaction.
3. Revolutionizing E-Learning and Remote Education: WebRTC has transformed education by enabling virtual classrooms, online tutoring, and interactive learning platforms. Students can engage in face-to-face sessions with teachers, collaborate on projects, and actively participate in live discussions, all from the comfort of their homes.
4. Empowering Telehealth and Telemedicine: WebRTC plays a vital role in telehealth applications, allowing doctors and patients to connect through video consultations, remote diagnosis, and real-time sharing of medical data. This technology has significantly expanded healthcare access and improved patient care, particularly in remote areas. The global telehealth market was valued at $128.12 billion in 2022, and it is expected to reach $504 billion by 2030, driven by the increasing demand for remote healthcare access and convenience.

Also read: 7 Tips To Boost Remote Work Productivity

The Structure and Architecture of a WebRTC Application

Applications for WebRTC follow a systematic architecture with three main parts:

1. User Interface (UI): The user controls and visual components that make it easier to engage with the program are included in the UI layer. Users may start and manage communication sessions using the interface’s buttons, chat boxes, video windows, and other features.
2. Signaling Server: The signaling server serves as a middleman and makes it possible for users to communicate session control messages with one another. Important details concerning connection construction, termination, media capability negotiation, and other communication-related duties are carried in these messages.
3. Peer Connection: Peer connections allow users to connect directly to one another and share data streams like audio and video. It establishes a private, encrypted channel for in-the-moment communication to ensure secrecy.

WebRTC Applications in Action: Examples 

WebRTC has opened the door for creative uses across several industries:

1. Slack: This well-known collaboration tool effortlessly incorporates WebRTC for voice and video conversations, improving efficiency and communication among distant teams.
2. Discord: Discord, a top gaming messaging service, uses WebRTC to make phone and video conversations possible within gaming groups.
3. Google Meet: A popular option for distant meetings and online classes, Google Meet makes use of WebRTC to give high-quality video conferencing and screen-sharing features.

The WebRTC Application Development Process

The WebRTC application development process involves several steps, starting from understanding the basics of WebRTC technology to designing, coding, testing, and deploying the application. This process requires knowledge of web development technologies such as HTML, CSS, and JavaScript, as well as familiarity with WebRTC APIs and protocols. Now let’s learn about these steps a little bit more:

1. Designing the User Interface: Begin by creating an intuitive and user-friendly interface that incorporates essential communication features, such as call initiation, media controls, and chat functionalities.
2. Implementing Signaling Mechanisms: Establish a signaling server or leverage existing WebRTC libraries for efficient signaling. This facilitates session control and communication negotiation between users.
3. Managing Peer Connections: Implement the necessary logic to establish and manage peer connections, including handling Interactive Connectivity Establishment (ICE) protocols for NAT traversal and establishing secure connections through Datagram Transport Layer Security (DTLS).
4. Integrating Media Streams: Utilize WebRTC APIs to handle media streams, including capturing audio/video, encoding/decoding, and real-time transmission between peers.
5. Ensuring Security and Privacy: Implement robust security measures, such as encryption and authentication, to protect user data and ensure privacy during communication.

The WebRTC application development process is an exciting and dynamic journey that empowers developers to create cutting-edge real-time communication solutions. Developers can create powerful and innovative real-time communication applications that enhance user experiences and drive meaningful interactions by following best practices, leveraging the power of WebRTC APIs, and considering important factors such as security and scalability.

Also read: Theta Network: A Decentralized Video Streaming and Content Delivery Network

Mitigating Risks Associated with WebRTC

While WebRTC offers numerous advantages, it is crucial to acknowledge potential risks:

1. Network Limitations: The performance of WebRTC depends on the network environment and may be affected by low bandwidth or unreliable networks.
2. Security Vulnerabilities: Like any communication technology, WebRTC is susceptible to security vulnerabilities, such as unauthorized access, data breaches, and man-in-the-middle attacks. Implementing appropriate security measures is paramount.

Maintenance and Support for a WebRTC Application

To ensure smooth operations and longevity of a WebRTC application, ongoing maintenance and support are essential:

1. Regular Updates: Stay up-to-date with the latest WebRTC releases and apply patches and upgrades to address bugs, security vulnerabilities, and compatibility issues.
2. Monitoring and Analytics: Monitor application performance, analyze usage patterns, and gather user feedback to promptly identify and address potential issues.
3. Technical Support: Provide comprehensive technical support to address user queries, troubleshoot issues, and ensure a seamless user experience.

Conclusion

WebRTC has unleashed a revolution in real-time communication, empowering businesses, educators, and individuals with seamless audio, video, and data-sharing capabilities within web browsers. Its versatility, simplicity, and broad compatibility make it the preferred choice for diverse applications. By understanding the architecture, development process, associated risks, and the importance of maintenance and support, organizations can harness the true power of WebRTC and unlock unparalleled communication experiences. So, are you ready to embrace the extraordinary potential of WebRTC?

This article will discuss about how to use LinkedIn API with step-by-step integration guide and full documentation list. Let’s get started!

Overview of LinkedIn API

LinkedIn, as we all know, is the most popular professional channel for connecting people from various services and sectors. And if you want to access data from LinkedIn, then you need to leverage LinkedIn API. Accessing data and information from LinkedIn is many a time needed for business purposes or for developing advanced applications, and hence LinkedIn public API is useful.

LinkedIn developer API and key functionalities

In this section, we will discuss LinkedIn developer API and its key functionalities. It will help you to answer your query on Does LinkedIn have an API?

1. LinkedIn Open API has a protocol that defines the 14 resource methods. Each of the resource methods has its interfaces which are standardized and with the required semantics
2. In LinkedIn API integration, there is a Rest.li protocol which is for supporting query parameters and resource keys
3. In addition to your query on Does LinkedIn have an open API, yes it does and one of the key concepts is the LinkedIn API client libraries which are kept to construct API requests easily.

Also read: How to use the Zoom API; a step-by-step integration guide and documentation list

How to use LinkedIn API – step-by-step integration guide

In this section, we will check the detailed steps on how to use LinkedIn API. 

1. For LinkedIn API access, OAuth 2.0 is used for user authorization and user authentication
2. There are two types of LinkedIn rest API authorization flows – Member Authorization which is a 3-legged OAuth and Application Authorization which is a 2-legged OAuth
3. The first important concept of LinkedIn data API integration is to establish the input and output data formats using the following code : Content-Type: application/json and in JSON format
4. The next important step is to generate a LinkedIn API key or token with Postman. You need to visit the LinkedIn developer portal and click the “Auth” tab to find out the client id and client secret key.
5. Next under the OAuth 2.0 settings, you need to add the callback URLs – https://oauth.pstmn.io/v1/callback and https://oauth.pstmn.io/v1/browser-callback 
6. Then fork the collections and fork the environments under each collection
7. The environment variables Client id and the Client secret are then entered 
8. Each collection title must be opened to check its Authorization tab. Click on the “Get new access token” button to authenticate the LinkedIn API connections, and select the grant type and the callback URL. Then specify the Authorization URL and access token URL. Use the environment variables as filled in. Define the scope as per the sample : {rw_ads,r_basicprofile,w_organization_social,w_member_social,rw_organization_admin}
9. When the grant type is Authorization Code, the client authentication code is Send client credentials in body and when the grant type is Client credentials, the client authentication code is Send as Basic Auth header
10.  The Authorization or authentication needs to be identified in the next step and allowed or permitted 
11. In the next step, the developer LinkedIn API key or access token will be displayed and you must select the “Use token” button to set it up
12. Input and output data formats are a must to be set in JSON format, using the following HTTP content type Content-Type: application/json 
13. The field projection controls need to be set up to determine the display of an entity’s data while responding to an API request. Some fields within the projections may not be required and can be eliminated. The projections are defined using &fields= as the query parameter and then mentioning the names of the fields expected to be returned by separating via commas. 
14. API calls need to be made by breaking them up into multiple page results. And this is required when there are a large number of entities to be returned via the API calls. Start and count are the query parameters that help paginate through the API calls’ results. The query is to mention the “start” value as 0 and the “count” value as N. For the next page, the “start” value is mentioned as N, keeping the count value the same, and it goes on. The details of the codes are mentioned in here.  A sample request:

GET https://api.linkedin.com/v2/{service}

1. Query tunneling is essential for LinkedIn rest API assessment. It is used for resolving requests – some requests are with Body and some without Body. 

• For requests without Body, the steps are:

1. 1. 1. The request needs to be changed from GET to POST.
      2. Add the X-HTTP-Method-Override header, using the original HTTP method (-H “X-HTTP-Method-Override: GET”).
      3. Add the Content-Type header (-H “Content-Type: application/x-www-form-urlencoded”).
      4. Move the query string to the body of the request
      5. Sample code: Copy

curl -X GET ‘https://api.linkedin.com/v2/organizationalEntityAcls?q=roleAssignee&projection=(elements*(organizationalTarget~))’ \

-H ‘Authorization: Bearer redacted’

• For requests with Body, the steps are:
  1. The request type needs to be changed from PUT to POST if the original request type was PUT. If the original request type was POST, keep it as POST.
  2. Add the X-HTTP-Method-Override header using the original HTTP method -H ‘X-HTTP-Method-Override: POST’ for POSTs or -H ‘X-HTTP-Method-Override: PUT’ for PUTs.
  3. Add the Content-Type header -H ‘Content-Type: multipart/mixed; boundary=xyz’. 
  4. Sample code: curl -X POST ‘https://api.linkedin.com/v2/adCreativesV2?ids=List(47770196)’ \

-H ‘Authorization: Bearer redacted’ \

-H ‘Content-Type: application/json’ \

-H ‘X-Restli-Protocol-Version: 2.0.0’ \

-H ‘X-RestLi-Method:  BATCH_PARTIAL_UPDATE’ \

–data ‘{“entities”: {“47770196”: {“patch”: {“$set”: {“status”: “ACTIVE”}}}}}’

1. Query tunneling is essential for LinkedIn rest API assessment. It is used for resolving requests – some requests are with Body and some without Body. 
2. LinkedIn API requests are governed by rate limits to limit the maximum number of calls in 24 hours. There are two kinds of LinkedIn API limits – Application and Member.
   1. Application LinkedIn API rate limit – used to set the total number of calls made by an application daily
   2. Member LinkedIn API rate limit – used to set the total number of calls made by a member for each application daily
3. Several request methods can be used as part of LinkedIn API integration. Some examples are 
   1. GET
   2. GET
   3. GET
   4. POST https://api.linkedin.com/v2/{service}/{Request Body}
   5. PUT https://api.linkedin.com/v2/{service}/{Request Body}
   6. PUT https://api.linkedin.com/v2/{service}/{Request Body}
   7. POST https://api.linkedin.com/v2/{service}/{Request Body}
   8. POST https://api.linkedin.com/v2/{service}/{Request Body}
4. LinkedIn search API can be used to search keywords, companies, locations, industries, and so on.

LinkedIn API documentation references

Let us now find out the LinkedIn API documentation references.

1. For getting access to LinkedIn API, here is the link.
2. For authentication overview, the link for the LinkedIn API tutorial is here.
3. To generate the LinkedIn API access token, the LinkedIn developer API documentation link is here.
4. To find out details on the developer portal tools, check out the link.
5. The link for the LinkedIn API docs on API concepts, data formats, field projections, paginations, request methods, etc. is here.
6. If you want to check the LinkedIn API clients then the LinkedIn Rest API documentation link is here.
7. The link for sample applications can be checked in the link here.
8. The best practices for integrating LinkedIn API can be checked in the link.

Also read: How To Use Notion API a step-by-step Integration Guide and Full Documentation List

LinkedIn API examples

In this section, we will check the LinkedIn API examples or sample codes using various types of APIs like Python, PHP, JavaScript, etc.

How to use LinkedIn API Python

There are two ways to use LinkedIn API Python to fetch profile data. One is getting permission from the profile using LinkedIn Python API to extract data into your application which is free and available. The second way is fetching profile data with access to approved developers using a paid subscription, an answer to your question on how to use LinkedIn API in Python.

Use the sample code of Python LinkedIn API to receive the data profile, here is the link

LI_AUTH_URL = ‘https://www.linkedin.com/oauth/v2/authorization’

url = requests.Request(‘GET’, LI_AUTH_URL,

params={

‘response_type’: ‘code’,

‘client_id’: LINKEDIN_CLIENT_ID,

‘redirect_uri’: LINKEDIN_REDIRECT_URI,

‘state’: secrets.token_hex(8).upper(),

‘scope’: ‘%20’.join([‘r_liteprofile’, ‘r_emailaddress’, ‘w_member_social’]),

}).prepare().url

return url

How to use LinkedIn API NPM

As a first step in using LinkedIn API NPM, you need to understand that there are 3 types of methods.

1. Single entity
2. Multiple entities
3. Mutations

Then comes scrollers as part of LinkedIn API node JS or NPM for easy navigation of pages, the sample code is below.

// index scroller

let companiesScroller = client.search.searchCompanies(); 

let companies = await companiesScroller.scrollNext(); // returns first page with 10 results

companies = await companiesScroller.scrollNext(); // next page

companies = await companiesScroller.scrollBack(); // previous page

// overriding skip and limit

companiesScroller = client.search.searchCompanies({ skip: 100, limit: 1 }); 

companies = await companiesScroller.scrollNext(); // returns first page with 1 results

companies = await companiesScroller.scrollNext(); // next page

companies = await companiesScroller.scrollBack(); // previous page

// overriding createdBefore for time scroller

const twoDaysAgo = moment().subtract(2, ‘days’).toDate();

let messagesScroller = client.message.getMessages({

conversationId: CONVERSATION_ID,

createdBefore: twoDaysAgo

});

messages = await companiesScroller.scrollNext();

How to use PHP LinkedIn API

Here are some examples of how to use PHP LinkedIn API

You can use the method setAccessToken()for setting the token and the LinkedIn share API PHP example is

$client->setAccessToken($accessToken);

PHP LinkedIn API example for API calls:

$profile = $client->api(

‘ENDPOINT’,

[‘parameter name’ => ‘its value here’],

‘HTTP method like GET for example’

);

PHP LinkedIn API tutorial contains sample codes for setting LinekdIn API request headers as below:

$client->setApiHeaders([

‘Content-Type’ => ‘application/json’,

‘x-li-format’ => ‘json’,

‘X-Restli-Protocol-Version’ => ‘2.0.0’, // use protocol v2

‘x-li-src’ => ‘msdk’ // set a src header to “msdk” to mimic a mobile SDK

]);

How to use LinkedIn API Angular

To use LinkedIn API Angular, the installation code is $ npm install angular-linkedin-sdk

As specified in the URL

Now coming to the LinkedIn API AngularJS tutorial, a sample code for usage us 

import { BrowserModule } from ‘@angular/platform-browser’;

import { NgModule } from ‘@angular/core’;

import { AppComponent } from ‘./app.component’;

// Import the library

import { LinkedInSdkModule } from ‘angular-linkedin-sdk’;

@NgModule({

declarations: [

AppComponent

],

imports: [

BrowserModule, 

// Specify your library as an import

LinkedInSdkModule

],

providers: [

// Inject apiKey and, optionally, authorize to integrate with LinkedIN official API

{ provide: ‘apiKey’, useValue: ‘YOUR_API_KEY’ },

{ provide: ‘authorize’, useValue: ‘true/false’ }, // OPTIONAL by default: false

{ provide: ‘isServer’, useValue: ‘true/false’ }  // OPTIONAL by default: false

],

bootstrap: [AppComponent]

})

export class AppModule { }

How to use LinkedIn iOS API

As a first step to using LinkedIn iOS API, it is essential to create two keys – Client ID and Client Secret. Next is to access the LinkedIn API token using OAuth. An authorized request needs to be made using the LinkedIn API access token to get the profile URL. A button is displayed, and clicking on it opens the profile in Safari.

On the website, need to access the My Applications area and find out the Create Application button. All the data needs to be filled up as soon as the form appears for creating the application. 

How to use LinkedIn API Javascript

Here are some examples of how to use LinkedIn API javascript

A sample code using LinkedIn login API javascript for a simple API request

const { RestliClient } = require(‘linkedin-api-client’);

const restliClient = new RestliClient();

restliClient.get({

resourcePath: ‘/me’,

accessToken: <THREE_LEGGED_ACCESS_TOKEN>

}).then(response => {

const profile = response.data;

});

A sample code using rest API linkedin in javascript for a finder API request

const { RestliClient } = require(‘linkedin-api-client’);

const restliClient = new RestliClient();

restliClient.finder({

resourcePath: ‘/adAccounts’,

finderName: ‘search’,

queryParams: {

search: {

status: {

values: [‘ACTIVE’, ‘DRAFT’]

},

reference: {

values: [‘urn:li:organization:123’]

},

test: true

}

},

versionString: ‘202212’,

accessToken: <THREE_LEGGED_ACCESS_TOKEN>

}).then(response => {

const adAccounts = response.data.elements;

const total = response.data.paging.total;

});

Link is here.

How to use LinkedIn API integration with Laravel

Let’s now try to check some sample examples of how to use LinkedIn API integration with Laravel. The sample code for communicating with LinkedIn API using json is as follows:

$body = array(

‘comment’ => ‘Testing the linkedin API!’,

‘visibility’ => array(‘code’ => ‘anyone’)

);

LinkedIn::post(‘v1/people/~/shares’, array(‘json’=>$body));

LinkedIn::post(‘v1/people/~/shares’, array(‘body’=>json_encode($body)));

To understand the response data type, here is the sample code.

// By setter

LinkedIn::setResponseDataType(‘simple_xml’);

// Set format for just one request

LinkedIn::get(‘v1/people/~:(firstName,lastName)’, array(‘response_data_type’=>’psr7’));

How to use LinkedIn Java API example

LinkedIn Java API example as mentioned in the link is as below, used for accessing the token

VersionedLinkedInClient client = new DefaultVersionedLinkedInClient(Version.DEFAULT_VERSION);

LinkedInClient.AccessToken accessToken = client.obtainUserAccessToken(clientId, clientSecret, redirectURI, code);

The sample code for creating LinkedIn share is as below:

VersionedPostConnection postConnection = 

new VersionedPostConnection(new DefaultLinkedInClient(authToken));

Distribution distribution = new Distribution(Distribution.FeedDistribution.MAIN_FEED);

String commentary = “Message here”

Post post = new Post(ownerURN, commentary, distribution, Post.LifecycleState.PUBLISHED,

Post.Visibility.PUBLIC);

String articleLink = “https://www.example.com/1234”;

String title = “title”;

String description = “description”;

PostUtils.fillArticleContent(post, articleLink, imageURN, title, description);

URN postURN = postConnection.createPost(post);

LinkedIn API pricing

Now comes the question is LinkedIn API free? The basic plan is free but there are different LinkedIn API pricing plans. The standard LinkedIn API code is USD 59 per month and allows access to 500 profiles. The LinkedIn API cost for the premium plan is USD 499 per month and allows access to 10,000 profiles.

Also read: How to use Slack API; a step-by-step integration guide and full documentation list

Most used LinkedIn APIs

In this last section, we will discuss in brief the most used LinkedIn APIs and their respective links.

LinkedIn Ads API

The LinkedIn Ads API helps to access AD forms, AD campaigns, and AD analytics, here is the link. LinkedIn jobs API

LinkedIn Jobs API is used for authorizing third parties to post jobs on behalf of customers, link is here.

LinkedIn Sales Navigator API

The LinkedIn sales navigator API is used to establish the connection between the LinkedIn members and external vendor ids, please refer to the link.

LinkedIn Profile API

The LinkedIn profile API is used to return the profile of a LinkedIn member and other details as per the privacy settings, here is the link.

LinkedIn Learning API

LinkedIn learning API is used for accessing the learning content and technical training guides, which can be checked from the link.

LinkedIn Messaging API

LinkedIn messaging API or communication API help in sending invitations and messages to existing connections, the link is here.

LinkedIn Recruiter API

The LinkedIn recruiter API posts and manages basic and advanced jobs on the website.

LinkedIn Post API

LinkedIn post API is used to create and retrieve both organic and sponsored posts, the link is here.

LinkedIn Inmail API

LinkedIn Inmail API is used to send emails to the connections via the website.

LinkedIn OAuth API

LinkedIn OAuth API is used for user and API authentication, the link for details.

LinkedIn Groups API

Using LinkedIn groups API, you can connect to millions of groups within the website, the details are available in the link.

LinkedIn API Test Console

The LinkedIn API test console is used to capture test results, logs, and debugging, to check to Visit the link.

LinkedIn API Company Search

LinkedIn API company search is used to find companies using the keywords, location, industrial sector, and other criteria. Details to be checked in here.

LinkedIn Ad Analytics API

Using LinkedIn Ad Analytics API, one can check the insights and performance of campaigns on LinkedIn. Check the link for details.

LinkedIn Conversion API

LinkedIn conversion API is used to check how many prospect customers earned through ads and campaigns. Check details in the link.