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The Archives Unleashed Toolkit

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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)
  • 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.


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.

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