itszux/twitter-likes-exporter

Hacky Python scripts for downloading your Twitter likes & converting to HTML

Twitter Likes Exporter

Hacky Python scripts for downloading your Twitter likes and converting to HTML. Includes support for downloading user avatars and image media in tweets. Scrapes tweets using the GraphQL API powering Twitter.com - the equivalent of you scrolling through all your likes in your web browser, only saved locally forever!

Meant to jumpstart you to at least getting your tweets offline from Twitter, if not building something much better!

Setup

Intended for use with Python 3.7. First install requirements:

pip install -r requirements.txt

(It's just requests). Next you'll need to populate the config.json file with credentials needed to match how your web browser gets your likes from Twitter.com:

1. Open up your web browser and ensure the Network web debugging tab is open so you can inspect network requests
2. Navigate to https://twitter.com/<your_user_handle>/likes
3. Look for a network request to an api.twitter.com domain path ending in /Likes
4. From the request headers: a. Copy the Authorization value and save as HEADER_AUTHORIZATION in config.json b. Copy the Cookies value and save as HEADER_COOKIES in config.json c. Copy the x-csrf-token value and save as HEADER_CSRF in config.json
5. Find your Twitter user ID (available in the /Likes request params, or elsewhere) and save as USER_ID in config.json

Download Likes to JSON

By default, liked tweets will be saved to a file liked_tweets.json in this repo's folder path. If you'd like to override this, set new path as OUTPUT_JSON_FILE_PATH in config.json.

Run as follows:

python download_tweets.py

Should provide output like the following:

Starting retrieval of likes for Twitter user 1234...
Fetching likes page: 1...
Fetching likes page: 2...
Fetching likes page: 3...
Done. Likes JSON saved to: liked_tweets.json

The output JSON will be a list of dictionaries like the following:

[
   {
      "tweet_info": {
         "tweet_id": "",
         "tweet_content": "",
         "tweet_media_urls": [
            {
               "type": "video",
               "url": "",
               "url_small": "",
               "video_duration_millis": 22583
            }
         ],
         "entities": {
            "hashtags": [
               {
                  "indices": [5, 10],
                  "text": ""
               }
            ],
            "symbols": [],
            "timestamps": [],
            "urls": [],
            "user_mentions": []
         },
         "tweet_created_at": "Mon Jan 15 15:38:47 +0000 2024",
         "tweet_views": "95715",
         "tweet_favorite_count": 647,
         "tweet_bookmark_count": 10,
         "tweet_reply_count": 403,
         "tweet_retweet_quote_count": 127,
         "is_quote": false,
         "quoted_url": null,
         "is_reply": false,
         "reply_url": null,
         "nsfw": false
      },
      "user_info": {
         "user_id": "",
         "user_handle": "",
         "user_name": "",
         "user_avatar_url": "",
         "user_blue_verified": true
      },
      "interactions": {
         "bookmarked": false,
         "favorited": true,
         "retweeted": false
      }
   }
]

Convert JSON Likes to HTML

If you want your tweets as a local HTML file, you can run the second script to convert the output JSON file from the above step.

NOTE: This will attempt to download all media images and tweet author avatars locally by default to avoid relying on Twitter hosting. You can override this by changing the DOWNLOAD_IMAGES boolean in config.json to false.

1. Be sure the OUTPUT_JSON_FILE_PATH value in config.json is pointing to the output JSON file of your tweets.
2. Run:

python parse_tweets_json_to_html.py

This will download all images (if specified; saved to tweet_likes_html/images) and construct an HTML file at tweet_likes_html/index.html containing all liked tweets.