twitter-mastodon-finder

## Github.com/RamenJunkie
## This Script is quick and a little rough
## 
## What is needed, Twitter Dev API Keys: https://developer.twitter.com/en
## An Export of Your Twitter Data from in the Settings Menu, this takes a few days to get
## 
## Place the file following.js from the export in the "Data" folder, into the same folder as this script.
## Run the script.
## Output is an HTML file that can be opened in any browser containing links to every person you follow, with a search for "Mastodon"
## 
## This makes it easy to see if any of the people you follow have tweeted about having a Mastodon account, 
## just conrol+clock each link to open tabs.  No Results means no Masto Tweets, results mean they probbaly have one,
## or they like the band Mastodon.
## 
## Limitation: The API Documentation says it has a limit of 900 Calls per 15 minutes.
##             So this may not work if you follow more than 900 people.
##             You could probably get around this by manually breaking up the following.js file as it's just a long list of data.
## 
## This script will also spit out a list of Usernames at the end that you can copy and paste to a file for record keeping if you want.

import tweepy
import json

url1 = "https://twitter.com/search?q=mastodon%20(from%3A"
url2 = ")&src=typed_query&f=top"

# Twitter credentials for Dev Account
# Sign up here: https://developer.twitter.com/en
consumer_key = ''
consumer_secret = ''
access_token = ''
access_token_secret = ''

twitter_url = "https://twitter.com/i/flow/login"

auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_token_secret)
api = tweepy.API(auth)

with open("following.js") as following:
    users_to_check = following.read()

users_to_check = users_to_check[29:]
users_to_check = json.loads (users_to_check)

user_names = []

for each in users_to_check:
    try:
        user = api.get_user(user_id = each["following"]["accountId"])
    except:
        pass
    else:
        user_names.append(user._json['screen_name'])
        with open("search_links.html", mode = "a") as output:
            output.write(f"<a href='{url1}{user._json['screen_name']}{url2}'>{user._json['screen_name']}</a><br>")

print(user_names)