Maximize Your Twitter Follower Count with a Powerful Twitter Bot

Get quality Twitter followers based on your profile and your liking. Best of all, you can unfollow them automatically too without lifting a finger.

Aliasgar Merchant
4 min readMay 7, 2023


If you paid lots of money to companies like Owlead to get some followers; you are in luck. This post will show you exactly how to get the same followers without spending a penny.


You will need some basic knowledge of git and python. Don’t worry, there will not be much of coding, but you need to know some basics to follow along.


Twitter is a powerful platform to reach out to a vast audience and grow your business or personal brand. However, it can be a time-consuming task to follow and unfollow accounts on Twitter. This is where Twitter bots come into the picture. Twitter bots are automated programs that can handle repetitive tasks such as following and unfollowing accounts. In this post, I will walk you through how to use a Twitter bot to facilitate followers and following.

Bot’s Expertise

Twitter-Bot-Follower is a python-based bot that can automate the process of following and unfollowing accounts on Twitter. This bot uses the Tweepy library, which is a python wrapper for the Twitter API, to authenticate and interact with Twitter.

The bot can search for accounts based on certain criteria such as the number of followers, keywords in the bio, and follow or unfollow these accounts automatically.

How to use bot for your account

To use this bot for your own Twitter account, follow the steps below:

→ Clone this repository to your local machine.

git clone && cd twitter-bot

→ Create a Twitter developer account and obtain API keys and access tokens. You can do this by following the instructions in Twitter’s developer documentation

→ Create a config.ini file and add your credentials to it.

consumer_key = xxxxxxxxxxxxxxxxxxxx
consumer_secret = xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
access_token = xxxxxxxxxxxxxxxxxxxx-xxxxxxxxxxxxxxxxxxxx
access_secret = xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx

→ You can simply run the bot through your local computer. If you are feeling brave, you can run it through services like — Digital Ocean, PythonAnywhere, etc.

Run the bot locally

→ Install python libraries

pip3 install -r requirements.txt

→ Run python script


Run the bot on Digital Ocean

→ Create a new droplet on Digital Ocean and SSH into it.

→ Install git if it is not already installed

sudo apt-get update
sudo apt-get install git

→ Clone the code from the repository

git clone

→ Install the necessary dependencies for your python code. You can use the following command to install them

sudo apt-get update && sudo apt-get install -y python3-pip python3-venv

→ Create a new virtual environment for your Python code

python3 -m venv myenv

→ Activate the virtual environment using the following command

source myenv/bin/activate

→ Install any necessary Python packages using pip

pip3 install -r requirements.txt

→ Create a new systemd service file for your Python code. You can use the following command to create a new service file

sudo nano /etc/systemd/system/my_service.service

→ In the service file, add the following lines to specify the location of your Python script and virtual environment:

Description=Twitter Bot Service



Replace /path/to/your/repo with the path to your cloned repository.

→ Save and close the file

→ Reload systemd to read the new service file

sudo systemctl daemon-reload

→ Start the service

sudo systemctl start my_service

→ Check the status of the service to ensure it is running

sudo systemctl status my_service

→ If everything is working correctly, enable the service to start automatically on boot

sudo systemctl enable my_service

Your python script is ready to run while you are away!

Next Steps

The bot performs all functions as intended. However, to make this bot a power house, I would love to implement some additional features.

You can track new features of the bot under this to do list. If you have any rocking ideas or some improvement suggestions, feel free to open a new issue in the repo.



Aliasgar Merchant

Novice astrophysicist in Cosmos. Building the next revolution of BFT consensus with CometBFT. I write about Blockchain related concepts.