---
id: google-cloud-bigquery-datatransfer
version: "3.23.0"
license: Apache-2.0
license_treatment: permissive
maintenance: active
---

# google-cloud-bigquery-datatransfer — Google Cloud Bigquery Datatransfer API client library

License: permissive · Maintenance: active · Popularity: top 1,000 on PyPI

## Install

pip install google-cloud-bigquery-datatransfer
uv add google-cloud-bigquery-datatransfer
poetry add google-cloud-bigquery-datatransfer

## Description

Python Client for BigQuery Data Transfer
========================================

|stable| |pypi| |versions|

`BigQuery Data Transfer`_: Schedule queries or transfer external data from SaaS applications to Google
BigQuery on a regular basis.

- `Client Library Documentation`_
- `Product Documentation`_

.. |stable| image:: https://img.shields.io/badge/support-stable-gold.svg
   :target: https://github.com/googleapis/google-cloud-python/blob/main/README.rst#stability-levels
.. |pypi| image:: https://img.shields.io/pypi/v/google-cloud-bigquery-datatransfer.svg
   :target: https://pypi.org/project/google-cloud-bigquery-datatransfer/
.. |versions| image:: https://img.shields.io/pypi/pyversions/google-cloud-bigquery-datatransfer.svg
   :target: https://pypi.org/project/google-cloud-bigquery-datatransfer/
.. _BigQuery Data Transfer: https://cloud.google.com/bigquery/transfer/
.. _Client Library Documentation: https://cloud.google.com/python/docs/reference/bigquerydatatransfer/latest/summary_overview
.. _Product Documentation:  https://cloud.google.com/bigquery/transfer/

Quick Start
-----------

In order to use this library, you first need to go through the following steps:

1....

## AI interpretation — verify before relying

Python client library for scheduling BigQuery data transfers and importing external data into BigQuery on a regular basis.

Verdict: Production-ready, actively maintained Google Cloud library with no known vulnerabilities and permissive licensing. Stable API, low install friction, and broad Python version support (3.10–3.14) make it suitable for production use. Requires prior GCP setup and authentication configuration.

[View on SkillFed](https://skillfed.io/packages/google-cloud-bigquery-datatransfer) · [View on PyPI](https://pypi.org/project/google-cloud-bigquery-datatransfer/)