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Airbyte

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Airbyte is a data integration platform with a source-available core and connectors for moving data into warehouses and data lakes.

Screenshot of Airbyte website

Airbyte is a comprehensive, data integration platform with a source-available core that simplifies extracting and loading data from supported sources to supported destinations.

Key Features:

  • Data Connectors - Ingest data from APIs, databases, SaaS tools, and files into warehouses and lakes.
  • CDC Replication - Stream changes in real-time with change data capture for low-latency pipelines.
  • AI Agent Engine - Power AI agents with direct connectors and a replicated context store.
  • Parallel Processing - Run pipelines concurrently without cross-client performance impact.
  • Schema Management - Handle schema changes automatically with built-in normalization.
  • Self-Hosted or Cloud - Deploy on your infrastructure or use Airbyte Cloud for managed pipelines.

Whether you're a data engineer, analytics team, or AI developer, Airbyte provides the infrastructure layer to move and transform data reliably at scale.

Licensing: The platform core uses Elastic License 2.0. Connectors and other components may have different licenses.

Web scraping workflow

How to use Airbyte in a web scraping pipeline

Airbyte moves data between configured sources and destinations through connectors. It can transport records already produced by a scraper into an analytical destination without making the collection stage itself an Airbyte responsibility.

A practical workflow

  1. A separate scraper writes normalized records into a database, API or file source supported by the selected connector.
  2. Configure an Airbyte connection with the required streams, destination and synchronization behavior.
  3. Load the replicated records into a warehouse or lake, where downstream transformations build the dataset used for analysis.

When it fits

Use it when a scraping application already stores useful records but consumers need them in another data platform. Check the exact source and destination connector capabilities before relying on incremental behavior or schema propagation.

Boundaries

A connector catalog does not imply support for scraping any website. Browser rendering, extraction rules and collection pacing remain separate. Define identity, deletion and refresh semantics at both ends, and distinguish the hosted service from self-managed components when planning deployment and credentials.

Categories:
Features:
ETL PipelineSource AvailableSelf-HostedManaged CloudReal-Time StreamingConcurrency ControlData Connectors

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Repository

airbytehq/airbyte

  • Stars

    22.2K
  • Forks

    5.4K
  • Last commit

    2026-10-15
  • License

    Elastic-2.0
  • Language

    Python

Metrics recorded 2026-10-16

Repository details

License source: Repository license file

View Repository

Frequently asked questions

What is Airbyte used for?

Airbyte replicates data from sources to destinations through connectors. Configure a source, destination and connection to select streams and run syncs. Available connectors and sync behavior depend on the specific integration and deployment.

Sources (checked ): Airbyte platform

Is Airbyte ETL or ELT?

Airbyte primarily handles extraction and loading into a destination, fitting an ELT workflow where transformation occurs after loading. Downstream transformations depend on the tools configured for your pipeline.

Sources (checked ): Airbyte platform; Airbyte ELT protocol

Is Airbyte free or paid?

Airbyte Core can be run on your own infrastructure without a software subscription, subject to its license. Managed and enterprise offerings have separate plans and usage charges. Include infrastructure and connector-related costs when comparing deployment options.

Sources (checked ): Airbyte platform; Airbyte pricing; Airbyte license FAQ

Is Airbyte open-source?

Airbyte’s components have different licenses. Core is source-available under Elastic License 2.0, which restricts offering the software to third parties as a managed service. Consult the license of the exact component or connector instead of applying one open-source label to the whole platform.

Sources (checked ): Airbyte license FAQ

How does Airbyte compare to Fivetran?

Both products replicate data through connectors. Airbyte offers self-managed and managed deployments; Fivetran provides managed data integration services. Compare the actual source and destination connectors, sync behavior, deployment responsibilities and pricing for your workload.

Sources (checked ): Airbyte platform; Fivetran documentation; Airbyte pricing

What is the difference between Airbyte and Airflow?

Airbyte moves data through configured connector syncs. Airflow schedules and coordinates tasks, which can include invoking an Airbyte sync alongside other processing. They can perform complementary roles in a data pipeline.

Sources (checked ): Airbyte platform; Airflow documentation

Sources

github.com

Source-available licensing checked against the published project license on 2026-10-01; cloud and commercial terms are separate.