mohashrafy / arblocker Goto Github PK

Have you ever encountered a Tweet that smells like stink? In my case, I usually dream about blocking all those hundreds of people who liked that Tweet. These Tweets are usually posted by special accounts, and are promoted by other special accounts, such as the accounts served as the governments' propaganda.

Silencing the opposite voice isn't something to encourage, but sometimes our mental heath is more important.

In order to run this script on behalf of your account, you need to set up a few things first. If you already have a Twitter Developer account, continue from step 3:

1. Visit Twitter Developer Platform and submit your information to access the Developer Portal.
2. Then, go ahead and create an App inside a Project, and save API Key and API Secret values.
3. Go to User authentication settings section at the Settings page of your App.
4. Enable OAuth 1.0a, check Read and Write permissions, and put something random (like localhost) for callback urls.
5. Go to Keys and tokens section of your App and generate Access Token and Secret.

Now, it's sufficient to pass these information as environment variables and run the code:

• API_KEY: The API Key obtained in the previous section
• API_SECRET: The API Secret obtained in the previous section
• ACCESS_TOKEN: The Access Token obtained in the previous section
• ACCESS_TOKEN_SECRET: The Access Token Secret obtained in the previous section
• TWEET_ID: The ID of the Tweet you want all accounts who liked it to be blocked. This can be obtained from a Tweet's URL, i.e. twitter.com/username/status/<ID>

You can create a .env file containing NAME=VALUE lines for your environment variables.

Finally, install the dependencies and run the code:

git clone https://github.com/alitoufighi/arzeshi-block.git
cd arzeshi-block
pip install -r requirements.txt
python main.py

Note that Twitter allows you to perform a limited number of API calls with this free account. This script will wait in case of reaching the rate limit. Hence, it may take a long time if you're running it against a viral Tweet.