tinderapi 1.0.6

Tinder API - You don't need to hold your phone anymore to submit tinder likes

Tinder API Reverse Engineering

Tinder API is a library that helps you deal with tinder without using the browser also in future version it will have an AI class that will help you train/test your model with simple steps

Installation

Use the package manager tinder-api to install foobar.

pip install tinderapi

The Purpose Of The Library

Create an AI Model that decide a binary choice 1 = Like and 0 = Dislike based on a database created using tinder database. This library will create a database using SQLite by delaut called Tinder.db were all the data will be stored

To prepare your database for training you can use scave.py

from tinderapi import Scavenger
import json

ACCOUNT = json.loads(open('account.json', 'r').read())

scavenger = Scavenger('Photos', ACCOUNT['telegram_bot_access_token'], ACCOUNT['chat_id'])

When scave.py is running you'll receive one picture for a random user and you'll get 3 choices (like, dislike and next)

• Like: change like stat in the DB to 1
• Dislike: change like stat in the DB to -1
• Next: get the next picture (if it's the last photo it will skip the user)

Usage

Change Tinder X-AUTH-TOKEN and create a Telegram Bot to receive LIVE Update in account.json

• tinder_auth: open google chrome devtool and search into request headers for x-auth-token

• telegram_bot_access_token: create a bot using bot father https://web.telegram.org/z/#93372553

• chat_id: send a message to the bot and check your is in api.telegram.org/bot{your_access_token}/getUpdates

• group_id: create a group and add the bot to it you'll find the group_id in api.telegram.org/bot{your_access_token}/getUpdates (it's always a negative number)

{
  "tinder_auth": "cb10ca8b-xxxx-xxxx-xxxx",
  "telegram_bot_access_token": "51xxx83571:xxxxxxxxxxxxxxx",
  "chat_id": 543xxxxxxx,
  "group_id": -718xxxxxx
}

Example

import time
from tinderapi import Tinder, TinderProfile, TinderDB, Telegram
import random
import json

ACCOUNT = json.loads(open('account.json', 'r').read())

AUTH_TOKEN = ACCOUNT['tinder_auth']
DB = TinderDB()


def liker():
    while True:
        TinderAcc = Tinder(AUTH_TOKEN)
        telegram = Telegram(telegram_key=ACCOUNT['telegram_bot_access_token'], chat_id=ACCOUNT['group_id'])
        matches = TinderAcc.get_potential_matches(verbose=False)
        if matches == -1:
            break
        elif matches == 2:
            telegram.sendMessage('Timeout waiting 5 min')
            time.sleep(60 * 5)
        else:
            for potential_match in matches:
                profile = TinderProfile(potential_match, AUTH_TOKEN, save_pics=True)
                print(profile.getAll())
                profile.like() # for dislike profile.dislike()
                telegram.sendPhoto(f'{profile.name} - {profile.birth_date.split("-")[0]} - {profile.distance_km} KM',
                                   f'Photos/{profile.id}')
                DB.insert_into_table(profile)

                time.sleep(random.randint(1, 4))

        print('Searching New Matches...')
        telegram.sendMessage('Searching for new matches...')


if __name__ == '__main__':
    liker()

To-Do

• Add TensorFlow simplfied classes for Tinder
• Finish first Ai Model
• Host The app on a Django server
• much more

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

License

MIT