Move your data from HTTP File (REST) with your free account
Capture data from HTTP File (REST) and deliver it to your destinations using Estuary's pre-built connectors. Build pipelines for real-time, incremental, or batch data movement based on connector capabilities.
- <100ms to batch
- 200+ connectors
- Managed data pipelines
HTTP File (REST) connector details
The HTTP File capture connector in Estuary captures data from files hosted at HTTP endpoints and loads it into Estuary collections. It automatically detects supported file formats and compression methods in most cases, making it useful for ingesting externally hosted datasets, exports, logs, and other file-based data.
- Capture files directly from HTTP or HTTPS URLs
- Supports Avro, CSV, JSON, Protobuf, and W3C Extended Log formats
- Supports ZIP, GZIP, and ZSTD compression
- Automatic file format and compression detection
- Custom parser configuration for formats such as CSV when automatic detection needs to be overridden
- Capture from multiple HTTP URLs within a single capture task using multiple bindings
- Optional username/password authentication and custom HTTP headers for protected endpoints
The HTTP endpoint must support HEAD requests and return a Last-Modified header so the connector can identify changes to the hosted file.
How to connect HTTP File (REST) to your destination in 3 easy steps
- 1
Connect HTTP File (REST) as your data source
Securely connect HTTP File (REST) and choose the objects, tables, or collections you need to sync.
- 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
Deliver to your destination
Continuously or periodically deliver your data to the destination you choose, based on the capabilities and configuration of your pipeline.
Trusted by data teams worldwide
All data connections are fully encrypted in transit and at rest. Estuary also supports private cloud and BYOC deployments for maximum security and compliance.
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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. Capture data from HTTP File (REST) using the cadence supported by the connector, then transform and deliver it to the destinations your team uses.
- Connect HTTP File (REST) to warehouses, databases, data lakes, search platforms, and event systems through Estuary-supported destinations.
- Capture once and reuse HTTP File (REST) data across transformations and multiple downstream destinations without rebuilding source extraction.
See where you can send HTTP File (REST) data:
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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 |
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