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apache-airflow-providers-zendesk

Provider package apache-airflow-providers-zendesk for Apache Airflow

With conditionsPyPI MonitoringReleased May 2026181.3K downloads / moApache-2.0Pure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — apache_airflow_providers_zendesk-4.12.0-py3-none-any.whl
v4.12.0 · released 2026-05-23 · Python >=3.10 · 3 runtime deps: apache-airflow, apache-airflow-providers-common-compat, zenpy

Yes, if you run Apache Airflow and need to integrate Zendesk into your orchestration workflows. The package is actively maintained, carries no known vulnerabilities, uses Apache-2.0 permissive license, and has low install friction. It is production-stable and part of the official Airflow provider ecosystem.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires apache-airflow >=2.11.0 and Python >=3.10
  • Low install friction as a pure-Python wheel.
  • Actively maintained by Apache Airflow with recent releases; requires apache-airflow >=2.11.0 and zenpy >=2.0.40.

License · maintenance · safety

Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most production environments.

last release 2026-05-23 (83 days) · last repo commit 2026-08-14 · 46,490 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 181,256 downloads/mo, #10,131 on PyPI

Verify before relying

pip install apache-airflow-providers-zendesk

from airflow.providers.zendesk import operators
# Use Zendesk operators in your DAG tasks
  • Specific operators and hooks available in this version beyond the Zendesk API integration layer
  • Whether this provider supports Zendesk's full API surface or a subset of endpoints
Same gist for agents: .md · .json

What it is and what it does

This is an Apache Airflow provider package that bridges Airflow orchestration with Zendesk's customer support platform. It supplies operators and hooks that let you build Airflow DAGs to automate tasks involving Zendesk resources. The package wraps zenpy to handle Zendesk API communication and integrates with Airflow's task execution model, so you can schedule and monitor Zendesk operations as part of larger data pipelines.

The package is part of the official Apache Airflow provider ecosystem, maintained alongside Airflow itself. It requires apache-airflow >=2.11.0, apache-airflow-providers-common-compat >=1.8.0, and zenpy >=2.0.40. Installation is straightforward via pip, and it supports Python 3.10, 3.11, 3.12, 3.13, 3.14.

Use it for

  • Automate ticket operations in Zendesk triggered by events in other systems within an Airflow DAG
  • Orchestrate bulk operations on Zendesk resources as part of a scheduled data workflow
  • Sync Zendesk support data with data warehouses or analytics platforms via Airflow pipelines
  • Monitor Zendesk and trigger downstream tasks based on support platform events

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, if you run Apache Airflow and need to integrate Zendesk into your orchestration workflows.

The package is actively maintained, carries no known vulnerabilities, uses Apache-2.0 permissive license, and has low install friction. It is production-stable and part of the official Airflow provider ecosystem.

Install

apache-airflow-providers-zendesk on PyPI

Before you install

Low install friction as a pure-Python wheel. Actively maintained by Apache Airflow with recent releases; requires apache-airflow >=2.11.0 and zenpy >=2.0.40.

Requires apache-airflow >=2.11.0 and Python >=3.10

License in practice

Apache-2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most production environments.

Quickstart

pip install apache-airflow-providers-zendesk

from airflow.providers.zendesk import operators
# Use Zendesk operators in your DAG tasks

Verify before relying

  • Specific operators and hooks available in this version beyond the Zendesk API integration layer
  • Whether this provider supports Zendesk's full API surface or a subset of endpoints

Package facts

LicenseApache-2.0 permissive
Python supportSupports the current Python release >=3.10
Install frictionLow. Pure-Python wheel
Runtime dependencies
3 packages
apache-airflowapache-airflow-providers-common-compatzenpy
MaintenanceActively maintained 83 days since the last release
Last repo commit
First released
Downloads181,256 / month, #10,131 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 5 - Production/StableEnvironment :: ConsoleEnvironment :: Web EnvironmentFramework :: Apache AirflowFramework :: Apache Airflow :: ProviderIntended Audience :: DevelopersIntended Audience :: System AdministratorsProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: System :: Monitoring

Evidence: apache_airflow_providers_zendesk-4.12.0-py3-none-any.whl

Tags

Capabilities
airflow zendesk integrationzendesk operator airflowairflow provider zendeskzendesk api orchestrationairflow zendesk taskszendesk workflow automation
Topics
airflow-providerzendesk-integrationworkflow-orchestration
PyPI keywords
airflow-providerzendeskairflowintegration

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See also apache-airflow-providers-apache-iceberg · apache-airflow-providers-asana · apache-airflow-providers-informatica · apache-airflow-providers-mongo · apache-airflow-providers-sendgrid · apache-airflow-providers-apache-beam · apache-airflow-providers-alibaba · apache-airflow-providers-samba · apache-airflow-providers-vespa · apache-airflow-providers-jenkins