Connect Webhook to Data Studio: Dashboards in Minutes

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Webhook
Data Studio

Visualize Webhook Data in Data Studio

How to visualize Webhook data in Data Studio? Start by connecting your Webhook endpoint to Kondado to capture incoming JSON payloads automatically. Once configured, your data flows directly into Data Studio where you can build interactive reports without writing any code. Business teams can monitor incoming events, track request patterns, and analyze payload contents through intuitive charts and scorecards. Whether you are tracking form submissions, payment notifications, or application events, turning raw Webhook data into visual insights helps you respond faster to business opportunities and make data-driven decisions with confidence.

Kondado captures Webhook payloads automatically and replicates them to Data Studio on a configurable schedule, enabling near-real-time monitoring of incoming data without intermediate databases or technical setup.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

With the Post raw JSON pipeline, you can capture every incoming Webhook request including the request ID, timestamp, and full JSON body directly in Data Studio. This allows marketing teams to visualize lead form submissions as they arrive, while operations teams can monitor system events and error logs through automated dashboards. By transforming raw JSON payloads into readable charts, you gain immediate visibility into transaction volumes, user activity trends, and application health metrics. The __kdd_request_body field lets you parse specific JSON attributes for detailed analysis, while the timestamp field helps you identify peak activity periods and response times across your business operations.

Try out all the features for free for 14 days

Webhook data available in Data Studio

1
available pipeline
4
extractable fields

Available integrations

Integration Description
Post raw JSON This table includes fields such as __kdd_request_id, __kdd_request_unix_timestamp, and __kdd_request_body, enabling the logging of requests and their data in JSON format.
Post raw JSON
This table includes fields such as __kdd_request_id, __kdd_request_unix_timestamp, and __kdd_request_body, enabling the logging of requests and their data in JSON format.

Try out all the features for free for 14 days

How to create Webhook dashboards in Data Studio

Visualize your data automatically — no spreadsheet exports or custom scripts.

1
Connect Webhook as data source

Generate a unique endpoint URL in your Webhook data source settings and configure it in your application to start capturing JSON payloads automatically.

2
Select Data Studio destination

Select Looker Studio as your destination to send parsed Webhook data directly into your reporting environment without intermediate storage.

3
Build dashboards and configure refresh

Create custom reports using the Post raw JSON pipeline fields and configure your preferred update frequency to keep visualizations current with automated data refreshes.

Access Webhook data in Data Studio and combine it with dozens of other data sources

If the source you want is not listed, drop us a chat message. We love to add new sources!

Visualize Webhook data in other BI tools

If the software you need is not listed, drop us a messagem. You can use almost every tool

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Frequently Asked Questions (FAQ)

Answers about visualizing Webhook data in Data Studio automatically

How do I connect my Webhook endpoint to Kondado for Data Studio visualization?
Access your Webhook data source settings in Kondado to generate a unique endpoint URL that you will configure in your source application. Once the endpoint receives data, select Looker Studio as your destination to begin building reports immediately.
What types of dashboards can I build with Webhook data in Data Studio?
You can create event monitoring dashboards showing incoming request volumes, lead capture reports displaying form submission trends, or system health trackers analyzing error rates from your JSON payloads. These custom reports help teams visualize operational data without technical assistance.
How often does Webhook data update in my Data Studio reports?
Kondado replicates data on a configurable schedule, allowing you to choose update frequencies ranging from every 5 minutes to daily intervals based on your business needs. This keeps your dashboards current without manual refreshes or complex scheduling.
Which KPIs should I track when visualizing Webhook data?
Monitor request volume trends to identify traffic patterns, track response timestamps to measure system latency, and analyze JSON payload contents to count specific event types like completed purchases or form submissions. These metrics provide actionable insights for operations and marketing teams.
Are there pre-built report templates available for Webhook data in Data Studio?
While pre-built templates are not available for this source, you can easily create custom dashboards using the Post raw JSON pipeline fields. Build charts that parse the __kdd_request_body field for specific business events and use the timestamp field to track activity over time.
Can I share Webhook dashboards with my team members?
Yes, once your reports are built in Looker Studio, you can share them with colleagues through standard sharing features, allowing stakeholders to view live data without accessing your Kondado account. This enables collaborative decision-making across marketing, operations, and executive teams.
Can I send Webhook data to other tools besides Data Studio?
Absolutely, Kondado allows you to replicate Webhook data to multiple destinations including Power BI, Google Sheets, BigQuery, or PostgreSQL for different analysis needs. You can configure several destinations simultaneously from the same Webhook source.

Try out all the features for free for 14 days