python_automation

🥈Silver

Python scripts that automate digital marketing and lead generation tasks, including email scraping, email generation, customer list building, and forum data extraction.

830Updated 2mo ago

Intermediate30min to implementmarketing

Saves ~45 min per use

Quick InstallView Source

git clone https://github.com/yesblogger/python_automation.git

Works with:

Claude

Overview

About This Skill

python_automation is a collection of Python scripts designed to automate repetitive digital marketing and lead generation workflows. The repository includes modules for scraping emails using both the Requests library and Selenium, generating outreach emails, building customer lists, and extracting data from forums. These tools are built for marketers and growth professionals who need to streamline prospecting and data collection tasks. All scripts are written in Python and licensed under MIT.

Use Cases

Scrape email addresses from websites using Requests or Selenium

Automatically generate outreach or marketing emails

Build and maintain customer or prospect lists

Extract user data and leads from online forums

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/yesblogger/python_automation

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Create a Python script to automate the following digital marketing task for [COMPANY]: [TASK]. The script should use [TOOLS] and process [DATA] from [SOURCE]. Include error handling and logging features. Provide the complete script with comments explaining each section.

Example Output

```python
# Digital Marketing Automation Script for [COMPANY]
# Task: Automate social media post scheduling
# Tools: Python, Facebook Graph API, CSV
# Data: Social media posts from marketing_calendar.csv
# Source: Local file system

import csv
import requests
import logging

# Configure logging
logging.basicConfig(filename='marketing_automation.log', level=logging.INFO)

# Facebook API credentials
ACCESS_TOKEN = '[ACCESS_TOKEN]'
PAGE_ID = '[PAGE_ID]'

# Read posts from CSV
def read_posts(file_path):
    with open(file_path, mode='r') as file:
        reader = csv.DictReader(file)
        return [row for row in reader]

# Post to Facebook
def post_to_facebook(message, scheduled_time):
    url = f'https://graph.facebook.com/v12.0/{PAGE_ID}/feed'
    params = {
        'message': message,
        'published': 'false',
        'scheduled_published_time': scheduled_time,
        'access_token': ACCESS_TOKEN
    }
    response = requests.post(url, params=params)
    return response.json()

# Main automation function
def automate_posts(file_path):
    posts = read_posts(file_path)
    for post in posts:
        try:
            result = post_to_facebook(post['message'], post['scheduled_time'])
            logging.info(f'Posted to Facebook: {result}')
        except Exception as e:
            logging.error(f'Error posting to Facebook: {str(e)}')

# Run automation
if __name__ == '__main__':
    automate_posts('marketing_calendar.csv')
```