Webhook
SOURCE

Webhook

Capture and process data from any webhook endpoint into GlassFlow with the Webhook Source Connector. Stream data in real time for efficient transformation

Webhook

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Overview

Webhook Source Connector

The Webhook Source Connector allows you to capture data from any external webhook and bring it into GlassFlow for real-time processing, transformation, and integration.
Whether it's data from forms, third-party services, or event-driven triggers, this connector enables seamless data flow from external systems directly into your GlassFlow pipelines.

Key Features

  • Real-Time Data Capture: Instantly capture data from incoming webhook requests and start processing in real time.
  • Wide Compatibility: Works with any webhook-supported service or custom application, offering broad integration capabilities.
  • Efficient Data Processing: Automatically transform and route incoming webhook data into your workflows without manual intervention.
  • Customizable Payload Handling: Customize how data is parsed and mapped, ensuring it fits your pipeline requirements.
  • Secure and Reliable: Ensures secure data transmission with encrypted connections and guarantees reliable data delivery.

Use Cases

  • Event-Driven Automation: Capture event data from external services and trigger automated workflows in GlassFlow.
  • Real-Time Analytics: Feed data from webhooks into analytics platforms or data warehouses for live reporting.
  • Cross-System Integration: Use webhooks to integrate disparate systems into your data ecosystem, ensuring seamless connectivity.

With the Webhook Source Connector, GlassFlow makes it easy to capture and process real-time data from external webhooks, enabling efficient automation and integration across your business systems.

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Supported by our users

Do not listen to us. Listen to them.

  • GlassFlow team managed to turn my scattered thoughts regarding the data streaming into a Python masterpiece.
    ⁠Anurag Roy@Doorlabs
  • Creating a data pipeline with GlassFlow is incredibly straightforward
    ⁠Swapnil Gupta@Deloitte
  • I am fed up with overcomplicated event-based pipelines. Finally a team that will make my life easier.
    Philippe Brule@aboutphilippe
  • Love the way they team tackles the complexity of building and sharing streaming pipelines.
    Rakesh Kaswan@KaswanRakesh
  • As a Python dev starting with data streaming, you should absolutely give Glassflow a try.
    ⁠Dinesh Marimuthu@Bilthouse
  • Something is cooking here! Super excited to test your solution.
    Joash Xu@joashxu
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