Moving Google Drive Documents to Postgres using Python

Move your Google Drive documents straight into Postgres using Python and PyAirbyte. In this Technical Explorations episode, Jonny and Tarik from Dataminded show how they ingest internal meeting transcripts (Facts at Breakfast, Learning Over Lunch) from Google Drive into a relational table, ready for querying and AI use cases.

You’ll see how to:

• Configure PyAirbyte to read from a Google Drive folder

• Authenticate with a Google service account (JSON key)

• Convert Airbyte output into a clean pandas DataFrame

• Load the processed data into a Postgres table

• Discuss performance limits, API rate limits, and batching

• Reflect on when PyAirbyte is great for PoCs vs. production setups

We also touch on:

• How many connectors Airbyte offers and what PyAirbyte can reuse

• Trade-offs of code-first ingestion vs. point-and-click UI

• Ideas for the next step: using MindsDB and LLMs to query this knowledge base

👉 Try the demo code yourself (Makefile, Postgres, PyAirbyte setup):
Try it out yourself: https://github.com/datamindedbe/demo-technology-exploration/

🌐 More at www.dataminded.com
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Note: This video is not sponsored or affiliated with Airbyte.