Script with Confluence API

This course is part of Confluence Automation, AI & Advanced Workflows Specialization

Instructor: ansrsource instructors

What you'll learn

Design Python workflows to extract governance-critical content labeled "Risk" from Confluence via REST API
Implement pagination and rate-limit-aware optimization to reduce API usage while maintaining data completeness
Build production-ready automation workflows that export Confluence data to structured JSON for compliance reporting

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

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Assessments

4 assignments¹

AI Graded see disclaimer

Taught in English

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This course is part of the Confluence Automation, AI & Advanced Workflows Specialization

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There are 2 modules in this course

This intermediate-to-advanced course is designed for IT managers, technical professionals, and automation practitioners who want to build reliable, scalable integrations with Confluence using the REST API. Learners focus on designing a Python-based workflow that extracts governance-critical content labeled "Risk" from Confluence and exports it into structured JSON for reporting and dashboard use cases.

Through practical, scenario-driven lessons, learners move beyond basic API calls to evaluate script performance, apply pagination, and use rate-limit-aware optimization strategies that reduce API usage while preserving data completeness. By the end of the course, learners can design production-ready automation workflows that support governance, compliance, and reporting needs in real enterprise environments.

This lesson establishes the foundation for automated governance reporting by walking you through Confluence REST API fundamentals and the /content endpoint. You will focus on authentic API usage, filtering by labels, and structuring responses for downstream dashboards.

What's included

2 videos1 reading2 assignments

This lesson focuses on evaluating and optimizing Confluence API scripts for real-world scale. Learners analyze runtime behavior, identify inefficiencies, and apply pagination and rate-limit strategies to reduce API calls while preserving data integrity. The lesson emphasizes decision-making, tradeoffs, and documentation practices required for production-ready automation.