Skip to content
/ autolike Public

Automatically like any given Facebook URL if the user is logged in.

Notifications You must be signed in to change notification settings

arsho/autolike

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

19 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

AutoLike

Version Python Size

Automatically like any given Facebook URL if the user is logged in. The facebook(url, run_time) method takes a Facebook URL and run time in seconds. It will return a dictionary with status, message, url, like and time attribute. If the status has "success" value then the program is successfully completed.

DO NOT MISUSE IT FOR DISTURBING INDIVIDUALS.

The current version is tested on Windows 11, Windows 10, and Windows 8.

Requirement

Login to Facebook using your default browser and turn on the keyboard shortcuts in Facebook:

  1. Click your profile picture in the top right of Facebook.
  2. Click Display and accessibility, then Keyboard.
  3. Click On below Use single-character keyboard shortcuts.

Installation

autolike only supports Python 3. Install it using pip.

$ pip install autolike

Example

To use (with caution), simply do:

import autolike
url = "https://www.facebook.com/" # any Facebook URL
run_time = 30 # time in seconds
like_result_dict = autolike.facebook_autolike(url, run_time)
print(like_result_dict)

Demonstration video: https://youtu.be/OLQNz0mbJg4

Development

You can build the code by yourself in any Windows 8/8.1/10/11 machine that has Python 3 installed. For development purpose we recommend to use a virtual environment.

$ python -m venv venv --clear
$ venv\Scripts\activate
$ pip install -r requirements.txt
$ python autolike\__init__.py

Contribute

Create Github Pull Request https://github.com/arsho/autolike/pulls

If you have suggestion use GitHub issue system or send a message in Facebook https://www.facebook.com/ars.shovon.

About

Automatically like any given Facebook URL if the user is logged in.

Topics

Resources

Stars

Watchers

Forks

Languages