Monitor Typeform Submission Webhook Handlers for Researchers
As a researcher relying on Typeform or Jotform for data collection, consistent data flow is paramount. Ensure your backend webhook handlers reliably process every new submission, preventing lost survey responses and data delays.
The problem
Researchers often use Typeform or Jotform for critical data collection, triggering webhooks to push responses into databases, analytics tools, or custom processing scripts. If your webhook receiver script or serverless function silently fails due to an API change, server hiccup, or unexpected data format, valuable survey responses could be lost or unprocessed. This can skew research results, delay analysis, and force costly manual data recovery, undermining the integrity and timeline of your entire project.
Imagine conducting a time-sensitive survey where hundreds of responses are expected daily. If your custom webhook handler, responsible for archiving these responses in a secure data lake and triggering follow-up emails, stops working, you might only discover the problem after a significant data gap appears. Manually checking logs or API endpoints for new submissions is inefficient and reactive. Proactive monitoring ensures every piece of data is captured instantly, safeguarding your research integrity and accelerating your insights.
How Heartfly solves it
Concrete example
from flask import Flask, request
import requests
import os
app = Flask(__name__)
@app.route('/typeform-webhook', methods=['POST'])
def handle_typeform_submission():
data = request.json
# Process data: save to DB, trigger analysis, etc.
print("Received Typeform submission:", data['form_id'])
# Ping Heartfly after successful processing
HEARTFLY_UUID = os.environ.get("HEARTFLY_TYPEFORM_UUID")
requests.get(f"https://heartfly.com/api/v1/pings/{HEARTFLY_UUID}")
return "OK", 200