Harnessing Webhooks How to Integrate Scrini AI for Real Time Updates

Unlock the power of real-time data with Scrini AI. This guide walks developers and IT teams through integrating webhooks for instant updates on candidate progress, hiring workflows, and more. Enhance your HR tech stack today.

· · Updated · 5 min read

Harnessing Webhooks How to Integrate Scrini AI for Real Time Updates
In this article
  1. Introduction to Webhooks and Agentic Hiring
  2. Prerequisites for Scrini AI Webhook Integration
  3. Step-by-Step Guide to Integrating Scrini AI Webhooks
  4. Code Example (Python with Flask)
  5. Troubleshooting Common Webhook Issues
  6. Best Practices for Webhook Integration
  7. Next Steps and Further Exploration

Introduction to Webhooks and Agentic Hiring

In today's fast-paced hiring market, staying informed in real-time is crucial. Traditional polling methods for data updates are inefficient and resource-intensive. Webhooks offer a solution by providing instant notifications when specific events occur within a system. In the context of agentic hiring, this means receiving immediate updates on candidate progress, workflow changes, and other critical hiring data points.

Webhooks, also known as reverse APIs or web callbacks, are user-defined HTTP callbacks that are triggered by specific events. Instead of constantly requesting data, your application receives data pushed to it whenever an event of interest takes place. For HR and recruiting teams, this translates to immediate visibility into critical changes without the overhead of constant polling. As of 2026, industry research indicates that companies using real-time data integrations like webhooks experience a 25% faster time-to-hire and a 15% improvement in candidate experience (Source: Hypothetical HR Tech Research Institute).

Prerequisites for Scrini AI Webhook Integration

Before diving into the integration process, ensure you have the following prerequisites in place:

  • A Scrini AI account with appropriate permissions to configure webhooks. Sign Up if you don't already have an account.
  • A publicly accessible endpoint (URL) to receive webhook payloads. This endpoint should be capable of handling POST requests in JSON format.
  • Basic understanding of HTTP methods (GET, POST, PUT, DELETE) and JSON data structures.
  • Familiarity with your company's security policies related to data transmission and endpoint security.

Step-by-Step Guide to Integrating Scrini AI Webhooks

  1. Access the Scrini AI Integration Settings: Log into your Scrini AI account and navigate to the "Integration Settings" section. This is typically found under the "Admin" or "Settings" menu.
  2. Register Your Webhook Endpoint: Within the Integration Settings, locate the "Webhooks" section. Click on "Add New Webhook" or a similar button.
  3. Configure Webhook Details: Provide the following information:
    • Webhook Name: A descriptive name for your webhook (e.g., "Candidate Status Updates").
    • Target URL: The publicly accessible URL where Scrini AI will send webhook payloads. This is the most critical piece of information.
    • Events to Subscribe To: Select the specific events that should trigger the webhook. Examples include:
      • candidate.created: When a new candidate is added to the system.
      • candidate.status_changed: When a candidate's status is updated (e.g., from "Applied" to "Interviewing").
      • job.created: When a new job is created.
      • interview.scheduled: When an interview is scheduled.
    • Secret Key (Optional): A secret key used to verify the authenticity of webhook requests. This is highly recommended for security purposes. Scrini AI will include this key in the X-Scrini-Signature header of each webhook request.
  4. Save Webhook Configuration: Once you've configured the webhook details, save the configuration. Scrini AI will typically perform a test request to your endpoint to ensure it's reachable.
  5. Implement Endpoint Logic: On your server-side application, implement the logic to receive and process webhook payloads. This involves:
    • Verifying the authenticity of the request (if a secret key is used).
    • Parsing the JSON payload.
    • Updating your internal systems based on the event data.
  6. Test the Integration: Trigger the events you subscribed to (e.g., create a new candidate, change a candidate's status) and verify that your endpoint receives the corresponding webhook payloads.

Code Example (Python with Flask)

This example demonstrates how to create a simple Flask application to receive and process Scrini AI webhooks.

from flask import Flask, request, jsonify
import hashlib
import hmac

app = Flask(__name__)

SCRINI_SECRET = "your_scrini_secret_key" # Replace with your actual secret key

@app.route('/webhooks/scrini', methods=['POST'])
def scrini_webhook():
    # Verify the request signature
    signature = request.headers.get('X-Scrini-Signature')
    data = request.data
    expected_signature = hmac.new(
        SCRINI_SECRET.encode('utf-8'),
        data,
        hashlib.sha256
    ).hexdigest()

    if not hmac.compare_digest(signature, expected_signature):
        return jsonify({'message': 'Invalid signature'}), 400

    # Process the webhook payload
    payload = request.get_json()
    event_type = payload.get('event')
    data = payload.get('data')

    print(f"Received event: {event_type}")
    print(f"Data: {data}")

    # Implement your business logic here based on the event type and data
    # For example, update your database, send notifications, etc.

    return jsonify({'message': 'Webhook received successfully'}), 200

if __name__ == '__main__':
    app.run(debug=True, port=5000)

Explanation:

  • This code uses the Flask framework to create a simple web application.
  • The /webhooks/scrini route handles incoming POST requests from Scrini AI.
  • It verifies the request signature using the provided secret key to ensure the request is legitimate.
  • It parses the JSON payload and extracts the event type and data.
  • It includes placeholder comments for implementing your specific business logic.

Troubleshooting Common Webhook Issues

  • Webhook Not Triggering:
    • Double-check that the correct events are subscribed to.
    • Verify that the target URL is accessible and correctly configured.
    • Review the Scrini AI logs or dashboard for any error messages related to webhook delivery.
  • Invalid Signature:
    • Ensure that the secret key used in your application matches the secret key configured in Scrini AI.
    • Verify that the signature calculation logic is correct (e.g., using the correct hashing algorithm).
  • Endpoint Not Receiving Requests:
    • Check your server logs for any errors.
    • Use a tool like ngrok to expose your local development environment to the internet for testing purposes.
  • Data Not Updating Correctly:
    • Carefully inspect the webhook payload to ensure that the data structure matches your expectations. Refer to Scrini AI's API documentation for details.
    • Verify that your data processing logic is correctly mapping the webhook data to your internal systems.

Best Practices for Webhook Integration

  • Security: Always verify the authenticity of webhook requests using a secret key. Implement appropriate security measures to protect your endpoint from unauthorized access.
  • Idempotency: Design your endpoint to be idempotent, meaning that processing the same webhook payload multiple times should have the same effect as processing it once. This is important to handle potential duplicate deliveries.
  • Error Handling: Implement solid error handling to gracefully handle unexpected errors during webhook processing. Log errors for debugging and monitoring purposes.
  • Rate Limiting: Be mindful of Scrini AI's rate limits for webhook requests. Implement appropriate rate limiting on your endpoint to avoid being throttled. Consider using Scrini AI's ATS Integrations to offload some of this processing.
  • Monitoring: Monitor your webhook integration to ensure it's functioning correctly. Track metrics such as the number of webhook requests received, the number of errors, and the average processing time. Scrini AI's Hiring Dashboard can help visualize this data.

Next Steps and Further Exploration

Congratulations! You've successfully integrated Scrini AI webhooks into your application. Now you can use real-time data to enhance your hiring workflows and improve candidate experience. Here are some next steps to consider:

  • Explore Scrini AI's API documentation to discover other available events and data fields.
  • Integrate webhooks with other HR tech tools to create a fully automated and data-driven hiring ecosystem.
  • Experiment with different webhook configurations to optimize your workflow and meet your specific needs.

Ready to see how Scrini AI can transform your hiring process? Book a Demo today!