Move your data from GitHub with your free account

Capture data from GitHub 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
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01. Move from GitHub02. Transform in-flight03. Select a destination

GitHub connector details

The GitHub connector continuously captures repository and organization data from GitHub into Estuary collections using the GitHub REST API, enabling right-time visibility across code, collaboration, and DevOps activities.

Comprehensive coverage: Captures a wide range of GitHub resources including commits, pull requests, issues, workflows, releases, stargazers, and more, spanning both batch and incremental data.
Right-time synchronization: Continuously ingests new commits, issues, and discussions as they occur, providing developers and data teams with an up-to-date view of repository activity.
Flexible authentication: Supports OAuth2 for secure browser-based access or Personal Access Tokens (PATs) for command-line or managed integration setups.
Granular configuration: Allows selective repository capture, branch-level filtering, and adjustable page sizes for large projects.
Scalable for enterprise teams: Efficiently handles multi-repository or organization-wide synchronization while respecting GitHub API rate limits.
Schema-aligned structure: Each GitHub resource maps to a separate data collection, simplifying downstream analysis, metrics tracking, or data lake ingestion.

💡 Tip: For organizations with many repositories, use wildcard patterns (like org/*) to automatically capture all repositories under one organization, ensuring comprehensive and future-proof coverage of your GitHub data.

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

How to connect GitHub to your destination in 3 easy steps

1
Connect GitHub as your data source
Securely connect GitHub 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.

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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 GitHub using the cadence supported by the connector, then transform and deliver it to the destinations your team uses.

Connect GitHub to warehouses, databases, data lakes, search platforms, and event systems through Estuary-supported destinations.
Capture once and reuse GitHub data across transformations and multiple downstream destinations without rebuilding source extraction.

See where you can send GitHub data:

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Details

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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