Abstract
Example Airflow DAGs is an open-source Digital Marketing & SEO project. Example DAGs using hooks and operators from Airflow Plugins. These DAGs focus on pulling data from various systems and putting them into Amazon Redshift, with S3 as a staging store. These represent the simplest implementation of an "ETL" workflow and can either be used "out-of-the-box" or extended to add additional custom logic. It is built using Python, Selenium. The complete source code is publicly available on GitHub under the Apache License 2.0, making it a useful reference for students building a Digital Marketing & SEO mini project or final-year project.
1. Introduction
These DAGs focus on pulling data from various systems and putting them into Amazon Redshift, with S3 as a staging store. These represent the simplest implementation of an "ETL" workflow and can either be used "out-of-the-box" or extended to add additional custom logic.
2. Objective
Example DAGs using hooks and operators from Airflow Plugins
This project demonstrates how Python, Selenium can be applied to a real-world Digital Marketing & SEO problem.
4. Technology Stack
5. System Requirements
General requirements for this technology stack — check the README for exact versions.
- Python 3.8 or later
- pip / virtualenv for dependencies
- VS Code, PyCharm or Jupyter Notebook
- Git (to clone the repository)
6. Installation & Setup
git clone https://github.com/airflow-plugins/Example-Airflow-DAGs.git
cd Example-Airflow-DAGsFull setup instructions are in the project README.
7. Future Enhancements
Suggested extensions you can add to make this your own project.
- Export reports to Google Sheets or PDF
- Schedule weekly automated reports
- Add competitor comparison
8. Viva / Review Questions
Common questions examiners ask for projects in this domain.
- Which marketing or SEO problem does this tool solve?
- Which data sources or APIs does it use (Search Console, Analytics, social platforms)?
- Which metrics or KPIs does it report and how are they calculated?
- How could the output help a business make decisions?
- How would you schedule it to run automatically?
9. Source Code & License
This project is developed by airflow-plugins and published on GitHub under the Apache License 2.0. Please follow the license terms and credit the original author when you use or modify this code.
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