---
id: google-cloud-scheduler
version: "2.20.0"
license: Apache-2.0
license_treatment: permissive
maintenance: active
---

# google-cloud-scheduler — Google Cloud Scheduler API client library

License: permissive · Maintenance: active · Downloads: 1.9M/mo

## What it is and what it does

google-cloud-scheduler is the official Python client library for Google Cloud Scheduler, a managed service that lets you create and manage jobs that run on a regular recurring schedule. It wraps the Cloud Scheduler API, allowing you to programmatically define, trigger, pause, and monitor scheduled tasks without managing cron infrastructure yourself.

The library depends on google-api-core, google-auth, grpcio, proto-plus, and protobuf to handle authentication, gRPC communication, and protocol buffer serialization. It targets modern Python versions (3.10 and later) and is actively maintained by Google. Installation is straightforward via pip, and authentication is handled through standard Google Cloud credential mechanisms.

Use it for:

- Schedule recurring data pipeline jobs (ETL, backups, reports) on Google Cloud without managing cron servers.
- Trigger Pub/Sub messages or HTTP webhooks on a fixed schedule for event-driven workflows.
- Programmatically manage job lifecycle (create, update, pause, delete, run) from Python applications.
- Monitor and list all scheduled jobs in a Google Cloud project for auditing or operational dashboards.
- Integrate job scheduling into multi-cloud or hybrid deployments that use Google Cloud as one component.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Python client library for Google Cloud Scheduler that creates and manages jobs run on a regular recurring schedule.

Yes. This is the official, actively maintained client for Cloud Scheduler with no known vulnerabilities, permissive licensing, and low install friction. Install it if you need to manage scheduled jobs on Google Cloud from Python code; skip it if you only use the Cloud Console or don't use Cloud Scheduler.

## Install

pip install google-cloud-scheduler
uv add google-cloud-scheduler
poetry add google-cloud-scheduler

## Installing google-cloud-scheduler

Before you install: Low friction installation with a wheel distribution. Actively maintained with recent releases; last commit 2026-08-14. Depends on standard Google Cloud libraries (google-api-core, google-auth, grpcio, proto-plus, protobuf).

License in practice: Licensed under Apache-2.0 (permissive), allowing commercial and private use with minimal restrictions beyond attribution and liability disclaimers.

Quickstart:

pip install google-cloud-scheduler

from google.cloud import scheduler_v1

client = scheduler_v1.CloudSchedulerClient()
project = 'your-project-id'
parent = client.common_project_path(project)
jobs = client.list_jobs(request={'parent': parent})

Requires Python >= 3.10. Google Cloud credentials must be configured (via application default credentials, service account key, or GOOGLE_APPLICATION_CREDENTIALS environment variable).

Verify before relying:

- Whether the package supports all Cloud Scheduler job types (HTTP, Pub/Sub, App Engine) or if additional setup is needed for each.
- Performance characteristics when managing large numbers of scheduled jobs.
- Whether timezone handling for job schedules is automatic or requires manual configuration.

## Package facts

- License: Apache-2.0 (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 1.9M/month (top 5,000 on PyPI)
- Known vulnerabilities: none known

## Tags

cloud scheduler python client, google cloud job scheduling, recurring task management gcp, cron job automation google cloud, scheduled job orchestration, cloud scheduler api python, google-cloud, job-scheduling, task-automation

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