Stream data from GitHub to Apache Kafka
Sync your GitHub data with Apache Kafka in minutes using Estuary Flow for real-time, no-code integration and seamless data pipelines.
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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 Flow 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.

Apache Kafka connector details
The Apache Kafka materialization connector publishes data from Estuary Flow collections to Kafka topics, enabling downstream systems to consume real-time streams of structured, reliable data.
- Continuous streaming: Streams collection updates to Kafka topics in real-time for event-driven architectures and analytics pipelines.
- Flexible message encoding: Supports both Avro (with schema registry) and JSON formats, giving teams flexibility in serialization strategy.
- Secure authentication: Compatible with SASL/PLAIN, SCRAM-SHA-256, and SCRAM-SHA-512 authentication methods, along with TLS encryption.
- Scalable configuration: Allows you to define topic partitions and replication factors for performance and redundancy.
- Schema registry support: Seamlessly integrates with Confluent Cloud or self-hosted schema registries for Avro schema management.
- At-least-once delivery: Ensures reliable message delivery with future support planned for exactly-once semantics.
💡 Tip: When connecting to Confluent Cloud, use the PLAIN SASL mechanism and provide your schema registry key and secret for authentication.
How to integrate GitHub with Apache Kafka in 3 simple steps using Estuary Flow
Connect GitHub as Your Real-Time Data Source
Set up a real-time source connector for GitHub in minutes. Estuary captures change data (CDC), events, or snapshots — no custom pipelines, agents or manual configs needed.
Configure Apache Kafka as Your Target
Choose Apache Kafka as your target system. Estuary intelligently maps schemas, supports both batch and streaming loads, and adapts to schema changes automatically.
Deploy and Monitor Your End-to-End Data Pipeline
Launch your pipeline and monitor it from a single UI. Estuary Flow guarantees exactly-once delivery, handles backfills and replays, and scales with your data — without engineering overhead.
Estuary Flow in action
See how to build end-to-end pipelines using no-code connectors in minutes. Estuary Flow does the rest.
Why Estuary Flow is the best choice for data integration
Estuary Flow combines the most real-time, streaming change data capture (CDC), and batch connectors together into a unified modern data pipeline:

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Frequently Asked Questions
- Set Up Capture: In Estuary Flow, go to Sources, click + NEW CAPTURE, and select the GitHub connector.
- Enter Details: Add your GitHub connection details and click SAVE AND PUBLISH.
- Materialize Data: Go to Destinations, choose your target system, link the GitHub capture, and publish.
What is GitHub?
How do I Transfer Data from GitHub?
What are the pricing options for Estuary Flow?
Estuary offers competitive and transparent pricing, with a free tier that includes 2 connector instances and up to 10 GB of data transfer per month. Explore our pricing options to see which plan fits your data integration needs.
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