https://github.com/dahlitzflorian/python-twitter-bot

Lightweight twitter bot
https://github.com/dahlitzflorian/python-twitter-bot

docker docker-image dockerfile python python-3 python-twitter-bot python3 twitter twitter-bot

Last synced: about 17 hours ago
JSON representation

Lightweight twitter bot

• Host: GitHub
• URL: https://github.com/dahlitzflorian/python-twitter-bot
• Owner: DahlitzFlorian
• License: mit
• Created: 2018-01-01T15:15:33.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2022-12-08T06:35:02.000Z (about 2 years ago)
• Last Synced: 2024-11-11T00:25:06.544Z (about 2 months ago)
• Topics: docker, docker-image, dockerfile, python, python-3, python-twitter-bot, python3, twitter, twitter-bot
• Language: Python
• Size: 12.7 KB
• Stars: 1
• Watchers: 2
• Forks: 1
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# Python Twitter Bot

## Description

A easy build and lightweight twitter bot written in Python. For this project I also created batch-files

to run the script in background and to start it easily globally via the terminal, but I decided not to

publish it in this repo.

Feel free to use it.

## Usage

Simply create some text-file w/ the tweets in it separated by `§§§`. Run the script with:


`twitter-bot.py  `

Given the `example.txt` file containing two sample tweets, you can call

the script as follows:

```bash

$ python twitter-bot.py example.txt 10

```

This will publish both tweets with ten seconds between each.

### Docker

If you want to run it in a Docker container to keep things clean,

please insert your twitter API credentials into the `config.py` file,

write your tweets into the provided `example.txt` file and run the following

two commands:

```bash

$ docker image build -t twitter-bot .

$ docker container run -it --rm --name twitter-bot twitter-bot

```

This will publish the tweets with a delay of ten seconds between each.

## To Do

- provide a way to specify the input file and delay via Docker `ARG`

and `ENV`