Tweet Archivist

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System Requirements

Tweet Archivist requires Windows 10.

Using Tweet Archivist

When you first launch Tweet Archivist, you must log in to Twitter with your Twitter credentials. Upon doing so, Twitter sends a code to Tweet Archivist Deskop, which it uses to perform Twitter searches on your behalf.

The key aspect to Tweet Archivist is using Twitter Search. To learn more about creating Twitter Searches, read the documentation on search operators. Once you know what you want to search, simply enter it into Tweet Archivist textbox.  Tweet Archivist will pull as many results as it can for that search. Also, note that the search will only go back in time for a set amount, usually around 3-4 weeks. You can't get at tweets through Twitter Search that are older.

Once you have started a search, Tweet Archivist will continue to monitor that search term while you leave it open, refreshing itself based on an interval you configure. You can save the results from your search and reopen it at a later time. Once you save the results to your file system, Tweet Archivist will automatically save any new tweets that come in, so you only need to click save one time. If you would like to perform a different search, you will need to click "Reset" and enter a new term. 

If your search term has lots of Twitter traffic, you will probably want to leave Tweet Archivist running, because there is a chance you will miss some tweets. For example, let's say you do a search, save the results, close Tweet Archivist and then reopen that search the next day.  If there have been more than 1500 tweets since the last time you ran the search, there will be a gap in your archive.

If you would like to see the Twitter homepage for a user of a given tweet, you can click their avatar, which will launch a browser that takes you to the person's Twitter homepage. You can also go right to the tweet itself by clicking the data hyperlink.

Data Analysis

Tweet Archivist allows you to see three charts: tweet volume over time, top users and a language breakdown.

For deeper data analysis, there are two options.

The first option is to export Tweet Archivist data to Excel.  When you click Export To Excel, Tweet Archivist will create a tab delimited text file which you can then open in Excel. Double-clicking the file won't open Excel; you will have to launch Excel and then open the text file from within Excel by looking for the file type .txt. You will then be prompted to import the file; just accept all the defaults and you should be good to go.

The second option is to do something with the .json file that is the default way Tweet Archivist saves files. Any programmer savvy with JSON should be able to party on it pretty easily.  It contains all kinds of interesting metadata.


You can adjust the polling frequency in the settings dialog. Also, you can disable Tweet Archivist from auto-updating an archive by making the tool read-only in the settings.