Tooling that automates your social media interactions to “farm” Likes, Comments, and Followers on Instagram Implemented in Python using the Selenium module.
Table of contents
- How to install and run InstaPy
- Externals and additionals tools
- Running InstaPy on Docker
- Documentation of all Instapy's features
pip install instapy
Important: depending on your system, make sure to use
You can put in your account details now by passing the username and password parameters to the
InstaPy() function in your quickstart script, like so:
Or you can pass them using the Command Line Interface (CLI).
If you've used InstaPy before installing it by pip, you have to move your old data to the new workspace folder for once. Read how to do this here.
To run InstaPy, you'll need to run the quickstart script you've just downloaded.
python quickstart.py -- or python quickstart.py --username abc --password 123
InstaPy will now open a browser window and start working.
If want InstaPy to run in the background pass the
--headless-browseroption when running from the CLI
Or add the
headless_browser=Trueparameter to the
pip install instapy -U
InstaPy Dashboard is an Open Source project developed by @converge to visualize Instagram accounts progress and real-time InstaPy logs on the browser.
All information on how to use InstaPy with Docker can be found in the instapy-docker repository.
A list of all features of InstaPy can be found here.
Do you need help ?
Do you want to support us ?
Help build InstaPy!
Check out this short guide on how to start contributing!.
This project exists thanks to all the people who contribute. [Contribute].
Thank you to all our backers!
Support this project by becoming a sponsor. Your logo will show up here with a link to your website. [Become a sponsor]
Disclaimer: Please Note that this is a research project. I am by no means responsible for any usage of this tool. Use on your own behalf. I'm also not responsible if your accounts get banned due to extensive use of this tool.