1. Download your Twitter archive (Settings > Your account > Download an archive of your data).
2. Unzip to a folder.
3. Right-click this link --> parser.py <-- and select "Save Link as", and save into the folder where you extracted the archive. (Or use wget or curl on that link. Or clone the git repo.)
4. Open a command prompt and change directory into the unzipped folder where you just saved parser.py.
   (Here's how to do that on Windows: Hold shift while right-clicking in the folder. Click on Open PowerShell.)
5. Run parser.py with Python 3. e.g. python parser.py.
   (On Windows: When the command window opens, paste or enter python parser.py at the command prompt.)

If you are having problems please check the issues list to see if it has happened before, and open a new issue otherwise.

The Twitter archive gives you a bunch of data and an HTML file (Your archive.html). Open that file to take a look! It lets you view your tweets in a nice interface. It has some flaws but maybe that's all you need. If so then stop here, you don't need our script.

Flaws of the Twitter archive:

• It shows you tweets you posted with images, but if you click on one of the images to expand it then it takes you to the Twitter website. If you are offline or have deleted your account or twitter.com is down then that won't work.
• The tweets are stored in a complex JSON structure so you can't just copy them into your blog for example.
• The images they give you are smaller than the ones you uploaded. I don't know why they would do this to us.
• DMs are included but don't show you who they are from - many of the user handles aren't included in the archive.
• The links are all obfuscated in a short form using t.co, which hides their origin and redirects traffic to Twitter, giving them analytics. Also they will stop working if t.co goes down.

Our script does the following:

• Converts the tweets to markdown and also HTML, with embedded images, videos and links.
• Replaces t.co URLs with their original versions (the ones that can be found in the archive).
• Copies used images to an output folder, to allow them to be moved to a new home.
• Will query Twitter for the missing user handles (checks with you first).
• Converts DMs (including group DMs) to markdown with embedded media and links, including the handles that we retrieved.
• Outputs lists of followers and following.
• Downloads the original size images (checks with you first).

Some of the functionality requires the requests and imagesize modules. parser.py will offer to install these for you using pip. To avoid that you can install them before running the script.

• https://techcrunch.com/2022/11/21/quit-twitter-better-with-these-free-tools-that-make-archiving-a-breeze/
• https://www.bitsgalore.org/2022/11/20/how-to-preserve-your-personal-twitter-archive
• https://matthiasott.com/notes/converting-your-twitter-archive-to-markdown

If our script doesn't do what you want then maybe a different tool will help:

• https://github.com/Webklex/tbm download Twitter bookmarks incl. download of all media, GUI/search interface via local server
• https://github.com/selfawaresoup/twitter-tools
• https://github.com/roobottom/twitter-archive-to-markdown-files
• https://gist.github.com/divyajyotiuk/9fb29c046e1dfcc8d5683684d7068efe#file-get_twitter_bookmarks_v3-py
• https://archive.alt-text.org/
• https://observablehq.com/@enjalot/twitter-archive-tweets
• https://github.com/woluxwolu/twint
• https://github.com/jarulsamy/Twitter-Archive
• https://sk22.github.io/twitter-archive-browser/
• https://pypi.org/project/pleroma-bot/
• https://github.com/mshea/Parse-Twitter-Archive
• https://github.com/dangoldin/twitter-archive-analysis
• https://fedi.doom.solutions/tumelune/
• https://github.com/mhucka/taupe