Python scripts companion to the book 'Automating Social Media Interactions for Organic Growth using Python.' Covers API, frontend, spreadsheet, and simple automation patterns.
git clone https://github.com/The-School-of-Automation/automation-book-scripts.gitautomation-book-scripts is the official code companion to 'Automating Social Media Interactions for Organic Growth using Python' by The School of Automation. The repository is organized into five focused modules: simple automations, API automations, API reverse automations, frontend automations, and spreadsheet automations. Each folder contains scripts and test data designed to illustrate the techniques taught in the book. Marketers and developers learning social media automation with Python can use these ready-made examples to follow along with the book's lessons and adapt the patterns to their own workflows.
Follow along with book exercises using provided Python scripts and test data
Automate social media interactions via platform APIs
Automate browser-based social media tasks using frontend automation scripts
Manage and process social media data using spreadsheet automation
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/The-School-of-Automation/automation-book-scriptsCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Generate a Python script to automate social media interactions for [COMPANY] in the [INDUSTRY] sector. The script should include functions to [TASK 1], [TASK 2], and [TASK 3]. Ensure it uses the [API] and follows best practices for automation.
# Social Media Automation Script for [COMPANY]
```python
import tweepy
import schedule
import time
# API Keys
CONSUMER_KEY = 'your_consumer_key'
CONSUMER_SECRET = 'your_consumer_secret'
ACCESS_TOKEN = 'your_access_token'
ACCESS_TOKEN_SECRET = 'your_access_token_secret'
# Authenticate to Twitter
auth = tweepy.OAuthHandler(CONSUMER_KEY, CONSUMER_SECRET)
auth.set_access_token(ACCESS_TOKEN, ACCESS_TOKEN_SECRET)
api = tweepy.API(auth)
def tweet_job():
api.update_status('Hello from [COMPANY]! Stay tuned for more updates.')
# Schedule the job every day at 9 AM
schedule.every().day.at('09:00').do(tweet_job)
# Keep the script running
while True:
schedule.run_pending()
time.sleep(1)
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