Skip to content
Switch branches/tags

Latest commit


Git stats


Failed to load latest commit information.
Latest commit message
Commit time

The Archives Unleashed Toolkit

codecov Maven Central Javadoc Scaladoc UserDocs LICENSE Contribution Guidelines

The Archives Unleashed Toolkit is an open-source platform for analyzing web archives built on Apache Spark, which provides powerful tools for analytics and data processing. The Toolkit is part of the Archives Unleashed Project.

Learn more about the Toolkit and how to use it by visiting our comprehensive documentation.

The following two articles provide an overview of the project:


  • Java 11
  • Python 3.7.3+ (PySpark)
  • Scala 2.12+
  • Apache Spark 3.0.0+

More information on setting up dependencies can be found here.


Clone the repo:

git clone

You can then build The Archives Unleashed Toolkit.

mvn clean install


The Toolkit can be used to submit a variety of extraction jobs with spark-submit, as well used as a library via spark-submit, pyspark, or in your own application. More information on using the Toolkit can be found here.

Citing Archives Unleashed

How to cite the Archives Unleashed Toolkit or Cloud in your research:

Nick Ruest, Jimmy Lin, Ian Milligan, and Samantha Fritz. 2020. The Archives Unleashed Project: Technology, Process, and Community to Improve Scholarly Access to Web Archives. In Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020 (JCDL '20). Association for Computing Machinery, New York, NY, USA, 157–166. DOI:

Your citations help to further the recognition of using open-source tools for scientific inquiry, assists in growing the web archiving community, and acknowledges the efforts of contributors to this project.


Licensed under the Apache License, Version 2.0.


This work is primarily supported by the Andrew W. Mellon Foundation. Other financial and in-kind support comes from the Social Sciences and Humanities Research Council, Compute Canada, the Ontario Ministry of Research, Innovation, and Science, York University Libraries, Start Smart Labs, and the Faculty of Arts and David R. Cheriton School of Computer Science at the University of Waterloo.

Any opinions, findings, and conclusions or recommendations expressed are those of the researchers and do not necessarily reflect the views of the sponsors.