Getting Started with PyAirbyte | Airbyte Documentation (original) (raw)
- 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")