Using PyAirbyte

PyAirbyte brings the power of Airbyte to every Python and AI developer.

Installation

pip install airbyte

Quickstarts

• NEW: 1.0 Launch Demo: AI and PyAirbyte
• Basic Demo
• CoinAPI
• GA4
• Shopify
• GitHub
• Postgres (cache)
• RAG With Langchain

Demos

Please check out this YouTube video on how to get started with PyAirbyte!

PyAirbyte API Reference

Please refer to our PyAirbyte API Reference for a full list of classes, methods, and usage examples.

Usage

Data can be extracted from sources and loaded into caches:

import airbyte as ab

source = ab.get_source(
    "source-faker",
    config={"count": 5_000},
    install_if_missing=True,
)
source.check()
source.select_all_streams()
result = source.read()

for name, records in result.streams.items():
    print(f"Stream {name}: {len(list(records))} records")