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This guide shows you how to build a pipeline that ingests webhook-triggered Verification data from Sohar into your data warehouse. This pattern is ideal for:
  • Performing analytics or business intelligence on structured API data
  • Creating structured data exports to import into external tools
  • Decoupling real-time webhook handling from downstream ETL
  • Scaling data pipelines efficiently

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Setup

1

Create Credentials

Create a client ID and client secret in the Sohar dashboard.
2

Configure Webhooks

Configure a webhook endpoint to listen for events. Subscribe your endpoint to the verification.updated event.
3

Configure Amazon S3

Configure an Amazon S3 bucket with programmatic write permissions via IAM user or role.
In this guide we reference Amazon S3, but the same process also applies to Google Cloud Storage and similar services.

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Workflow

The diagram below outlines the workflow we will build to transfer Verification data from Sohar to your data warehouse. Data analytics diagram
1

Receive a webhook

2

Call the Get Verification API to fetch JSON data

3

Store that data in Amazon S3

4

Use your ETL/ELT tool to load the data into your warehouse

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Handle Webhook Events

Here’s a basic Express route to receive webhook events from Sohar and save the Verification response to Amazon S3: 
const express = require('express');
const axios = require('axios');
const AWS = require('aws-sdk');

const app = express();
app.use(express.json());

// Configure AWS SDK
AWS.config.update({ region: process.env.AWS_REGION });
const s3 = new AWS.S3();
const BUCKET = process.env.S3_BUCKET_NAME;

app.post('/webhooks', async (req, res) => {
	// Retrieve the verification ID from the request body
	const verificationId = req.body['verificationId'];

	// Generate an access token
	const createTokenResponse = await axios.post(
		'https://api.soharhealth.com/oauth/token',
		{
			client_id: process.env.SOHAR_CLIENT_ID,
			client_secret: process.env.SOHAR_CLIENT_SECRET
		}
	);

	const accessToken = createTokenResponse.data.access_token;

	// Retrieve details of the completed verification
	const getVerificationResponse = await axios.get(
		`https://api.soharhealth.com/v2/verifications/${verificationId}`,
		{
			headers: {
				'Authorization': `Bearer ${accessToken}`
			}
		}
	);

	const verificationData = getVerificationResponse.data;

	// Save to Amazon S3
	const timestamp = new Date().toISOString();
	const folder = timestamp.split('T')[0].replace(/-/g, '/'); // "2025/06/01"
	const key = `sohar-data/${folder}/${verificationId}.json`;

	await s3.putObject({
	  Bucket: BUCKET,
	  Key: key,
	  Body: JSON.stringify(verificationData),
	  ContentType: 'application/json',
	}).promise();

	console.log(`Saved JSON to S3: ${key}`);
	res.status(200).send({ success: true });
});

app.listen(3000, () => console.log(`Listening on port 3000`));

​
Load to the Data Warehouse

Now that data is in S3, you can:
  • Use AWS Glue to crawl and ETL the data into Redshift or Athena
  • Use dbt + dbt-s3 to ELT from S3 into Snowflake or BigQuery
  • Use Airbyte, Fivetran, or custom scripts for downstream ingestion