No-code pipeline · Webhook → PostgreSQL

Send data from Webhook to PostgreSQL

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From Webhook to PostgreSQL: managed, scheduled, no code.

Kondado replicates Webhook payloads to PostgreSQL on a configurable schedule, automatically parsing JSON requests into structured tables with fields including request IDs, timestamps, and raw body content for immediate SQL analysis.

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Send Webhook Data to PostgreSQL Automatically

Kondado provides a direct integration that enables you to capture event-driven data from your applications and store it in PostgreSQL without writing a single line of code. Simply configure your Webhook data source to start receiving payloads at a dedicated endpoint, authenticate your PostgreSQL destination, and select the specific pipelines you need. The platform automatically handles data parsing, schema management, and loading on your chosen schedule, transforming raw JSON payloads into queryable database records ready for analysis.

Once your event data lands in PostgreSQL, you can run complex analytical queries, correlate Webhook events with CRM or sales data from other sources, and build custom dashboards using tools like Power BI or Looker Studio. This automated workflow supports near-real-time data capture while leveraging PostgreSQL’s advanced indexing and query capabilities to deliver actionable insights that drive smarter business decisions and operational efficiency.

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Available Pipelines

The Post raw JSON pipeline captures every incoming Webhook request with complete fidelity, storing the __kdd_request_body field containing your raw JSON payload alongside __kdd_request_id and __kdd_request_unix_timestamp for precise tracking. This enables you to log user interactions, payment notifications, or form submissions directly into PostgreSQL where you can parse nested JSON structures using native JSONB operators. Data teams can then join these event logs with customer databases or transactional systems to create comprehensive audit trails, trigger downstream workflows, or feed cleaned datasets into visualization tools like Power BI for stakeholder reporting.

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Replicated to PostgreSQL

Webhook data available for PostgreSQL

Tables Kondado writes into your PostgreSQL, on a schedule you control.

available pipeline

extractable fields

PostgreSQL

Destination

Available integrations

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.

See all available data → Send Webhook to PostgreSQL →

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How to send Webhook data to PostgreSQL

Sync data automatically — no code, no manual exports.

Connect Your Webhook Data Source

Create a new Webhook data source in Kondado to generate a unique endpoint URL where your applications can send JSON payloads, then copy the provided URL into your source system configuration.

Configure PostgreSQL Destination

Enter your PostgreSQL connection details including host, database name, and credentials to establish the destination where your Webhook data will be stored and organized.

Select Pipelines and Schedule

Choose the Post raw JSON pipeline and define your replication frequency, selecting from intervals such as 5 minutes, 15 minutes, or hourly to match your data freshness requirements.

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Send data from Webhook to other destinations

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Choose a tool to visualize your Webhook data

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 sending Webhook data to PostgreSQL automatically

How does Webhook to PostgreSQL replication work on Kondado? ▼

Instead of pulling data, Kondado provides a unique URL endpoint where your applications send Webhook payloads. Once received, the platform automatically parses the JSON structure and loads it into your PostgreSQL database on your configured schedule, handling all schema mapping without requiring manual intervention.

What specific fields are included in the Post raw JSON pipeline? ▼

The pipeline stores __kdd_request_id for unique identification, __kdd_request_unix_timestamp for precise event timing, and __kdd_request_body containing the complete raw JSON payload. These fields enable you to reconstruct exact event sequences and parse custom data structures using PostgreSQL's JSON functions.

How often does Kondado update Webhook data in PostgreSQL? ▼

You can configure replication to run every 5 minutes, 15 minutes, hourly, or daily depending on your analytical needs. This flexible scheduling ensures your database reflects recent events without overwhelming your infrastructure with constant updates.

Can I combine Webhook event data with other data sources in PostgreSQL? ▼

Yes, once Webhook data resides in PostgreSQL, you can perform SQL joins with data replicated from other sources like CRM systems, advertising platforms, or e-commerce databases. This unified approach enables comprehensive cross-channel analysis using your preferred visualization tools such as Looker Studio or Power BI.

What format is Webhook data stored in within PostgreSQL? ▼

The raw payload arrives as JSON within the __kdd_request_body field, while metadata fields use standard PostgreSQL data types like text and bigint. This hybrid structure preserves the original event data while allowing efficient querying and indexing of timestamp and ID fields.

Do I need to create database tables manually before replicating Webhook data? ▼

No, Kondado automatically generates the necessary database structures in your PostgreSQL database when you activate the pipeline. The platform manages schema creation and updates based on the incoming Webhook payload structure, eliminating manual database administration tasks.

How do I query JSON data from Webhooks once it is in PostgreSQL? ▼

You can use PostgreSQL's native JSONB operators and functions to extract specific values from the __kdd_request_body field, filter events based on nested properties, or aggregate data across multiple requests. This capability allows you to transform raw event streams into structured datasets ready for reporting in Google Sheets or other analytics platforms.

Try out all the features for free for 14 days

Related on Kondado

Try out all the features for free for 14 days