Stream into HTTP Webhook with your free account

Deliver data from databases, SaaS apps, APIs, files, and streaming systems into HTTP Webhook using Estuary's pre-built connectors. Run pipelines from real-time streaming to scheduled batch based on connector capabilities.

<100ms to batch
200+ connectors
Managed data pipelines

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01. Select a source02. Transform in-flight03. Deliver to HTTP Webhook

HTTP Webhook connector details

The HTTP Webhook materialization connector in Estuary delivers data from Estuary collections directly to a specified HTTP endpoint. It is useful for sending pipeline data to custom applications, APIs, automation services, and other systems that can receive HTTP requests.

Sends Estuary collection data directly to HTTP endpoints
Configurable base endpoint URL for the destination server or service
Configurable relative path for each binding, allowing different collections to be routed to different webhook paths
Custom HTTP headers for authentication, routing, or other endpoint-specific requirements
Multiple Estuary collections can be delivered through a single materialization using separate bindings
Works with any server or service capable of accepting HTTP requests
Supports continuous delivery from real-time or batch Estuary pipelines

Each binding specifies the Estuary collection to materialize and the relative path where its data should be sent. Custom headers can also be included in HTTP requests when required by the receiving service.

For more details about the HTTP Webhook connector, check out the documentation page.

How to connect your data source to HTTP Webhook in 3 easy steps

1
Connect your data source
Select from more than 100 supported databases and SaaS platforms including PostgreSQL, MySQL, SQL Server, MongoDB, and Kafka.
2
Prepare and transform your data
Apply transformations and schema mapping as data moves whether you are streaming in real time or loading in batches.
3
Sync to HTTP Webhook
Continuously or periodically deliver data into your destination with support for change data capture and reliable delivery for accurate insights.

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HIGH THROUGHPUT

Distributed, event-driven architecture scales for demanding data workloads.

DURABLE COLLECTIONS

Store data as it moves so you can transform, replay, and deliver it downstream.

FLEXIBLE LATENCY

From <100ms CDC and real-time streaming to scheduled batch, depending on connector capabilities.

From <100ms to batch

Estuary supports CDC, real-time streaming, incremental syncs, and scheduled batch across its connector ecosystem. Bring data from databases, SaaS apps, APIs, files, and event streams into HTTP Webhook, with capture and delivery cadence based on connector capabilities and pipeline configuration.

Connect data from operational databases, SaaS applications, APIs, files, and streaming systems to HTTP Webhook through Estuary.
Transform and route data through Estuary collections before delivering it to HTTP Webhook.

See what you can connect to HTTP Webhook:

Search for any source

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Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.

Feature Comparison

	Estuary	Batch ELT/ETL	DIY Python	Kafka
Price	$	$$-$$$$	$-$$$$	$-$$$$
Latency	<100ms to scheduled	5min+	Varies	<100ms
Ease	Analysts can manage	Analysts can manage	Data Engineer	Senior Data Engineer
Scale
Maintenance Effort	Low	Medium	High	High