--- title: Stripe to Mixpanel Data Integration Guide description: Learn how to integrate Stripe with Mixpanel using Google Cloud Functions or AWS Lambda for seamless event tracking. image: https://optiblack.com/hubfs/Optiblack%20Vishal%20Rewari%20Product%20Analytics%20(12).png --- OPTIBLACK - [Services](https://optiblack.com/services) - [Customers](https://optiblack.com/customers) [Book a strategy call](https://optiblack.com/book-a-call) - [Services](https://optiblack.com/services) - [Customers](https://optiblack.com/customers) [Book a strategy call](https://optiblack.com/book-a-call) [Information](https://optiblack.com/insights/tag/information) [mixpanel](https://optiblack.com/insights/tag/mixpanel) Jul 12, 2025, 12:41:24 PM · 4 min read # Stripe to Mixpanel Data Integration Guide ![Aswin Kumar](https://optiblack.com/hubfs/T03B5CKT6HZ-U07FHH1ESR0-561cebd6e111-512.jpeg) Aswin Kumar Optiblack ![move data from stripe to mixpanel](https://optiblack.com/hubfs/Optiblack%20Vishal%20Rewari%20Product%20Analytics%20(12).png) ## **Introduction** This guide demonstrates how to stream events from Stripe webhooks to Mixpanel using a Google Cloud Function or an AWS Lambda function. The setup requires approximately 10-15 minutes and access to a GCP or AWS account with appropriate permissions. ### **Prerequisites** - GCP account with Cloud Functions access or AWS account with Lambda access. - Stripe account with webhook configuration capabilities. - Mixpanel project token for importing data. ## **Approach 1: Using Google Cloud Platform (GCP)** ### **Step 1: Create a Cloud Function** - Navigate to the GCP Console and create a new Cloud Function. - Set the trigger type to **HTTPS**. - Enable **Allow Unauthenticated Invocations** since Stripe will call this function. - The function name (e.g., track-stripe) will appear in the URL (e.g., *https://us-central1-\.cloudfunctions.net/track-stripe*). Use the name chosen during creation. ### **Step 2: Deploy the Code** Use the following Python code to handle Stripe webhook data and send it to Mixpanel `import functions_framework` `import json` `import requests` `import uuid  # Library to generate UUIDs` `@functions_framework.http` `def product(request):` `    req = request.get_json(silent=True)` `   ` `    # Ensure metadata exists and extract distinct_id` `    metadata = req['data']['object'].get('metadata', {})  # Default to empty dict` `    distinct_id = metadata.get('distinct_id', str(uuid.uuid4()))  # Fallback to UUID` `   ` `    # Construct the properties dictionary` `    properties = {` `        '$insert_id': req['id'],` `        '$device_id': distinct_id,  # Use distinct_id or fallback` `        'time': req['created'],` `        'utm_campaign': metadata.get('utm_campaign'),` `        'utm_content': metadata.get('utm_content'),` `        'utm_id': metadata.get('utm_id'),` `        'utm_medium': metadata.get('utm_medium'),` `        'utm_source': metadata.get('utm_source'),` `        'utm_term': metadata.get('utm_term'),` `        **req['data']['object']` `    }` `    properties = {k: v for k, v in properties.items() if v is not None}` `    # Construct the event payload` `    e = {` `        'event': req['type'],` `        'properties': properties` `    }   ` `    # Send the request to Mixpanel` `    resp = requests.post(` `        "https://api.mixpanel.com/import",` `        params={"strict": "1"},` `        headers={` `            "Content-Type": "application/x-ndjson",` `            "User-Agent": "mixpanel-stripe"` `        },` `        auth=(request.args.get('token'), ""),` `        data=json.dumps(e),` `    )` `    print("mixpanel resp", resp)   ` `    # Log the response and return it` `    if resp.status_code != 200:` `        print(f"Mixpanel error: {resp.status_code}, {resp.text}")` `    else:` `        print("Mixpanel event logged successfully")` `   ` `    return resp.json()`   - Create a *requirements.txt* file with the following content: functions-framework==3.\* requests Deploy the function in the GCP Console with the code and requirements.txt. ### **Step 3: Configure Stripe Webhook** - In the Stripe Dashboard, go to **Developers \> Webhooks**. - Add a new webhook and paste the Cloud Function URL with the Mixpanel token (e.g., *https://us-central1-\.cloudfunctions.net/track-stripe?token=\*). - Select all events and save. ### **Step 4: Test the Integration** - Open the Stripe Shell (bottom right corner of the Stripe Dashboard). - Use the stripe trigger command to test an event (e.g., stripe trigger checkout.session.completed). - Check the webhook status and response in the Stripe Webhooks section to confirm success. ## **Approach 2: Using Amazon Web Services (AWS)** ### **Step 1: Create a Lambda Function** - Navigate to the AWS Management Console and create a new Lambda function. - Choose **Python 3.11** as the runtime. - Set up an **API Gateway** trigger with an HTTP endpoint. ### **Step 2: Deploy the Code** Use the following Python code to handle Stripe webhook data and send it to Mixpanel. Save this as lambda\_function.py. `import` json import requests def lambda\_handler(event, context):     # Parse the incoming event (Stripe webhook data)     # event is the raw HTTP request body from Stripe     req = json.loads(event\['body'\]) if isinstance(event.get('body'), str) else event         # Extract the event type from the Stripe event     event\_type = req.get('type', 'unknown\_event')         # Get the customer ID or use a fallback distinct\_id (e.g., charge ID)     customer\_id = req.get('data', {}).get('object', {}).get('customer')     distinct\_id = customer\_id if customer\_id else req.get('data', {}).get('object', {}).get('id', 'default\_user\_' + req.get('id', 'unknown'))         e = {         'event': event\_type,         'properties': {             '$insert\_id': req.get('id', ''),             'distinct\_id': distinct\_id,  # Use charge ID or default if customer is null             '$device\_id': distinct\_id,   # Optional, for device tracking             'time': req.get('created', ''),             \*\*req.get('data', {}).get('object', {})         }     }         resp = requests.post(         "https://api.mixpanel.com/import",         params={"strict": "1"},         headers={             "Content-Type": "application/x-ndjson",             "User-Agent": "mixpanel-stripe"         },         auth=(event.get('queryStringParameters', {}).get('token'), ""),         data=json.dumps(e),     )     return resp.json()     - Install dependencies locally using ***pip install requests -t*** . in the project folder containing *lambda\_function.py*. - Zip the entire folder including *lambda\_function.py* and the installed requests package, then upload the ZIP to Lambda. ### **Step 3: Configure API Gateway** - After deployment, copy the function URL from the AWS Lambda console (e.g., it will be in the format *https://\.lambda-url.\.on.aws* ). - Note: The URL is unique to the deployed function; copy the specific URL provided after deployment. ### **Step 4: Configure Stripe Webhook** - In the Stripe Dashboard, add a new webhook. - Use the copied API Gateway URL (*https://\.lambda-url.\.on.aws/?token=\*) with the Mixpanel token. - Select all events and save. ### **Step 5: Test the Integration** - Open the Stripe Shell and use stripe trigger checkout.session.completed. - Verify the webhook status and response in the Stripe Webhooks section. ## **Viewing Data in Mixpanel Dashboard** - Log in to the Mixpanel dashboard. - Go to events. - Filter by event type or distinct\_id to confirm Stripe data. ![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdfqvAZhp_zE855uYVTDlCMajrGLslX32lyLpVpLJvz6yEtNxomaZwfkWuri36QFmXpBFOyhT6zNiA6rbAQPLgmQ9lvOYp22N110bDfeI2Rm3ViQY9Gy-__V2p8m6E4CmAxP_Kluw?key=RC8aCnb6oT2m0f0aTqYlgw) ![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXciIL_ZvOz5vxqJ5gx3gqn8E86d64qyeWEasPGKoJgrBm0fVcKQrzdAqdRP2Vo9GlKTnip72L4ajhIQXBPVC3bHKDwPVPKm67Z0VzYtrCVh_GFS0b5Z-EDcaSk7zFVXaMTpp45MEQ?key=RC8aCnb6oT2m0f0aTqYlgw) ## **Troubleshooting** - Ensure the Mixpanel token matches in the webhook URL. - Check logs in CloudWatch for Lambda or GCP Cloud Functions for errors. - Confirm network access and API limits. ## **Conclusion** A working Stripe to Mixpanel integration is now set up using GCP or AWS. Adjust the code for additional transformations as needed. ![Aswin Kumar](https://optiblack.com/hubfs/T03B5CKT6HZ-U07FHH1ESR0-561cebd6e111-512.jpeg) Aswin Kumar Tech @ Optiblack [#Information](https://optiblack.com/insights/tag/information) [#mixpanel](https://optiblack.com/insights/tag/mixpanel) / Keep reading ## More from Optiblack [![From Zero to a Multi-Region Analytics Backbone: How OptiBlack Built Scrut's Entire Data Platform](https://optiblack.com/hubfs/Optiblack%20Vishal%20Rewari%20Product%20Analytics%20(12)-3.png) Case Studies From Zero to a Multi-Region Analytics Backbone: How OptiBlack Built Scrut's Entire Data Platform](https://optiblack.com/insights/from-zero-to-a-multi-region-analytics-backbone-how-optiblack-built-scruts-entire-data-platform) [![AI in Geographic Segmentation: Key Use Cases](https://optiblack.com/hubfs/Optiblack%20Vishal%20Rewari%20Product%20Analytics%20(11)-4.png) Information AI in Geographic Segmentation: Key Use Cases](https://optiblack.com/insights/ai-geographic-segmentation-key-use-cases) [![RealBooks Selects Optiblack as Strategic Analytics Partner to Build Modern Data Stack for Real Estate Investors](https://optiblack.com/hubfs/Optiblack%20Vishal%20Rewari%20Product%20Analytics%20(11)-3.png) News RealBooks Selects Optiblack as Strategic Analytics Partner to Build Modern Data Stack for Real Estate Investors](https://optiblack.com/insights/realbooks-selects-optiblack-as-strategic-analytics-partner-to-build-modern-data-stack-for-real-estate-investors) / 15-minute exploration call ## Turn these insights into revenue. 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