Mastering Salesforce Integration: A Comprehensive Guide to APIs with Apex and Aura Component Examples

Himanshu Varshney
Senior Salesforce Developer
January 11, 2024

SFApexExampleApi

REST API

Purpose: Used for accessing resources in any format (XML, JSON, etc.) over HTTP with a wide range of functionalities.

Example in Apex:

HttpRequest req = new HttpRequest();
req.setEndpoint('https://yourinstance.salesforce.com/services/data/vXX.0/sobjects/Account/');
req.setMethod('GET');
Http http = new Http();
HTTPResponse res = http.send(req);

Example in Aura Components:

action.setParams({
  "request": req
});


SOAP API

Purpose: Primarily used for integrating with enterprise systems, supporting XML-based messaging.

Example in Apex: Apex does not natively consume SOAP; it's typically used on the external system to call into Salesforce.


Bulk API

Purpose: Optimized for loading large sets of data asynchronously. It's efficient for querying large datasets.

Example in Apex:

AsyncApexJob a = [SELECT Id, Status, NumberOfErrors, JobItemsProcessed,
                  TotalJobItems, CreatedBy.Email
                  FROM AsyncApexJob WHERE Id = :jobID];


Metadata API

Purpose: Used for managing customization and building tools that can manage the metadata model, not the data itself.

Example in Apex: Typically used via tools like ANT migration tool, not directly accessible in Apex.


Streaming API

Purpose: Useful for receiving notifications for changes to Salesforce data (in near real-time).

Example in Aura Components: Aura Components can subscribe to a channel to receive notifications.

$A.get("e.empApi:subscribe").setParams({
    channel: '/event/My_Event__e',
    replayId: -1
}).fire();


Tooling API

Purpose: Allows you to build custom development tools or apps for Salesforce platforms. It provides endpoints for describing, querying, and modifying your metadata.

Example in Apex:

HttpRequest req = new HttpRequest();
req.setEndpoint(URL.getSalesforceBaseUrl().toExternalForm()+'/services/data/vXX.0/tooling/query?q=Select+Id,Name+From+ApexClass');
req.setMethod('GET');


Chatter REST API

Purpose: Used for accessing Salesforce Chatter feeds and social data such as users, groups, followers, and files.

Example in Apex:

ConnectApi.FeedItem fi = ConnectApi.ChatterFeeds.postFeedItem(null, ConnectApi.FeedType.News, 'me', 'Hello World', null);


UI API

Purpose: Lets you build UI for viewing Salesforce data, loading records, and saving changes back to the server.

Example in Aura Components:

var action = component.get("c.getRecord");
action.setParams({ recordId : component.get("v.recordId") });


Analytics API

Purpose: Used for running reports and accessing analytics data.

Example in Apex: Not typically used directly in Apex; more for external systems.


Composite API

- **Purpose**: Allows you to combine multiple requests into a single call.
- **Example in Apex**:
  ```apex
  HttpRequest req = new HttpRequest();
  req.setEndpoint('https://yourinstance.salesforce.com/services/data/vXX.0/composite/');
  req.setMethod('POST');

Each API serves a specific purpose and offers different capabilities. Apex and Aura Components can leverage these APIs to create powerful, integrated Salesforce applications. The examples provided demonstrate basic usage and would need to be adapted to your specific requirements.

Share this article:
View all articles

Related Articles

Choosing the Right Data Sources for Training AI Chatbots featured image
December 12, 2025
If your AI chatbot sounds generic, gives wrong answers, or feels unreliable, the problem is probably not the model. It is the data behind it. In this article, you will see why choosing the right data sources matters more than any tool or framework. We walk through what data your chatbot should actually learn from, which sources help it sound accurate and confident, which ones quietly break performance, and how to use your existing knowledge without creating constant maintenance work. If you want a chatbot that truly reflects how your business works, this is where you need to start.
Lead Qualification Made Easy with AI Voice Assistants featured image
December 11, 2025
If your sales team is spending hours chasing leads that never convert, this is for you. Most businesses do not have a lead problem, they have a qualification problem. In this article, you will see how AI voice assistants handle the first conversation, ask the right questions, and surface only the leads worth your team’s time. You will learn how voice AI actually works, where it fits into real sales workflows, and why companies using it respond faster, close more deals, and stop wasting effort on unqualified prospects. If you want your leads filtered before they ever reach sales, keep reading.
The Automation Impact on Response Time and Conversions Is Bigger Than Most Businesses Realize featured image
December 9, 2025
This blog explains how response time has become one of the strongest predictors of conversions and why most businesses lose revenue not from poor marketing, but from slow follow up. It highlights how automation eliminates the delays that humans cannot avoid, ensuring immediate engagement across chat, voice, and form submissions. The post shows how automated systems capture intent at its peak, create consistent customer experiences, and significantly increase conversion rates by closing the gap between inquiry and response. Automation does not just improve speed. It transforms how the entire pipeline operates.

Unlock the Full Power of AI-Driven Transformation

Schedule a Demo

See how Anablock can automate and scale your business with AI.

Book Now

Start a Voice Call

Talk directly with our AI experts and get real-time guidance.

Call Now

Send us a Message

Summarize this page content with AI