Connect Webhook to Looker: Dashboards in Minutes

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Webhook
Looker

Visualize Webhook Data in Looker

Visualizing your Webhook data in Looker starts with Kondado’s direct connection that eliminates complex technical setup and intermediate databases. Our platform receives data automatically whenever your applications send it through the Webhook data source, then formats everything for immediate analysis in your visualization tool. You choose how often to refresh your reports, whether every five minutes or daily, ensuring your team always sees current information without manual exports. Marketing teams can track campaign events as they happen, while operations teams monitor business processes without waiting for batch updates. The entire process requires no coding knowledge, making advanced analytics accessible to everyone in your organization.

Kondado provides a direct Via Kondado connection between Webhook and Looker, allowing business teams to replicate data on a configurable schedule and build visual reports without writing code or managing databases.

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 event sent through your Webhook connection and transform raw JSON payloads into actionable business intelligence within Looker. Track request timestamps alongside unique identifiers to monitor system performance and identify peak usage periods. Operations managers can visualize incoming transaction volumes while marketing analysts examine request bodies to understand customer behavior trends. The __kdd_request_body field contains complete JSON data that you can parse within Looker to create detailed reports on specific events, orders, or user actions. This flexibility allows SMBs to centralize scattered application data into unified reports that drive daily operations.

Try out all the features for free for 14 days

Webhook data available in Looker

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 Looker

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

1
Connect Webhook Data Source

Create a new Webhook data source in Kondado to receive your unique endpoint URL for configuring in your sending application.

2
Select Looker Destination

Choose Looker as your visualization destination to establish the Via Kondado connection that delivers formatted data directly without intermediate storage.

3
Build Dashboards and Configure Refresh

Design your custom reports in Looker using the Post raw JSON pipeline, then set your preferred update frequency to keep visualizations current on a configurable schedule.

Access Webhook data in Looker 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

Hundreds of data-driven companies trust Kondado
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Frequently Asked Questions (FAQ)

Answers about visualizing Webhook data in Looker automatically

How do I set up a Webhook data source in Kondado to send data to Looker?
Start by creating a new data source in your Kondado account and selecting Webhook as the type. You will receive a unique URL endpoint to configure in your sending application, which will automatically push data to Kondado without requiring any coding or API management. Once connected, select Looker as your destination to begin visualizing incoming events immediately.
What types of dashboards can I build with Webhook data in Looker?
You can create operational monitoring dashboards showing request volumes and timestamps, or analytical reports parsing JSON payloads to track specific business events like orders or signups. Many teams also build alerts dashboards that highlight unusual patterns in incoming data frequency or content structure.
How often does Webhook data update in Looker reports?
Kondado processes incoming Webhook events immediately and updates your Looker reports on a configurable schedule that you control. Choose refresh intervals ranging from every five minutes for near-real-time monitoring to daily updates for periodic business reviews.
What specific KPIs should I track when visualizing Webhook events?
Monitor the total number of requests per hour to identify traffic patterns, track the distribution of request timestamps to spot peak activity periods, and analyze JSON body content to count specific event types like purchases or form submissions. These metrics help operations teams allocate resources and marketing teams measure campaign effectiveness.
Are there pre-built report templates available for Webhook data in Looker?
Kondado does not provide pre-built report templates for this connection, allowing you complete flexibility to design custom dashboards that match your specific business requirements. You can build reports focusing on the exact JSON fields and metrics that matter most to your team.
Can I share Webhook dashboards with team members who don't have Kondado access?
Yes, once your data flows into Looker, you can distribute reports using Looker's native sharing features, including scheduled email delivery and embedded analytics. Recipients view the visualizations directly in Looker without needing separate Kondado credentials or understanding the underlying data replication process.
What business decisions can I make with Webhook data visualized in Looker?
Operations managers use these dashboards to determine server capacity needs based on incoming request volumes, while marketing teams optimize campaign timing by analyzing when users most frequently trigger events. Product teams can also identify feature adoption patterns by parsing the JSON request bodies to see which user actions occur most often.
Do I need a database to store Webhook data before connecting to Looker?
No, Kondado's Via Kondado connection eliminates the need for intermediate databases or complex storage setup between your Webhook source and Looker. The platform handles data formatting and delivery directly, so you can start building visualizations immediately without infrastructure management.

Try out all the features for free for 14 days