The London Stage Database team will be retiring the Legacy Search on May 1, 2025. Please take a moment before that date to reproduce any pre-2021 searches and export any resulting datasets you may wish to preserve for future use. We are making this change in order to free up computational resources for new features and data, currently in development with support from the National Endowment for the Humanities. Watch this space for more updates and, coming soon, new ways to keep up with the latest project developments!

Data Downloads

You can use any of these file formats to analyze and visualize the results that interest you. All of these file types are designed to be human-readable and can be opened in a text editor, such as Notepad or TextEdit. XML and JSON are best equipped for storing relational data of the kind used in the London Stage Database, so exporting to and using one of these file formats will allow you to retain, access, and work with the most information from your results. CSV files are easier for users with less technical training to work with, as they can be opened and manipulated in spreadsheet software like Google Sheets or Microsoft Excel. However, CSV files are tabular rather than relational, so they do not represent the complexity of the data objects and relations as fully.

Export the Full Dataset

  • SQL: Structured Query Language
  • JSON: JavaScript Object Notation: a data-interchange format that stores data objects as text
  • XML: eXtensible Markup Language, a markup language similar to HTML. Data is represented as text wrapped within tags
  • CSV: Comma Separated Values, a tabular data file format in which values are delimited using the comma character

Data for individual events can be exported from the relevant Event page.