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Python Automation Mastery: Build Income While You Sleep

Complete 6-module course on building automated income streams with Python

$57

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Course Contents

Module 1: Python Fundamentals for Automation
Module 2: Web Scraping for Market Intelligence
Module 3: Automated Content Creation & Publishing
Module 4: Shopify Automation & E-Commerce
Module 5: Revenue Tracking & Optimization
Module 6: Scaling to $1,000/Month

Module 1: Python Fundamentals for Automation

Setting Up Your Environment

Install Python 3.11+ and create your first virtual environment:

python -m venv autohustle-env
source autohustle-env/bin/activate  # Mac/Linux
autohustle-env\Scripts\activate    # Windows
pip install requests httpx beautifulsoup4 schedule python-dotenv

Core Automation Concepts

1. Working with HTTP APIs

Most money-making opportunities involve APIs. Master these patterns:

GET requests to fetch data (prices, trends, competitor info)
POST requests to create content (publish blog posts, list products)
Authentication (API keys, OAuth tokens, Bearer headers)

2. File Automation

Reading/writing CSV files for bulk product imports
JSON config files for API credentials
Automating file organization and processing

3. Scheduling Tasks

Run your automation 24/7 without manual intervention:

schedule library for simple cron-like jobs
Windows Task Scheduler for system-level scheduling
GitHub Actions for cloud-based automation (free tier)

Your First Automation: Price Monitor

import httpx
import schedule
import time

def check_crypto_prices():
    r = httpx.get("https://api.coingecko.com/api/v3/simple/price?ids=bitcoin&vs_currencies=usd")
    btc_price = r.json()["bitcoin"]["usd"]
    print(f"BTC: ${btc_price:,.2f}")
    if btc_price < 40000:
        print("BUY SIGNAL!")

schedule.every(5).minutes.do(check_crypto_prices)
while True:
    schedule.run_pending()
    time.sleep(1)

Exercise: Extend this to monitor 10 coins and save alerts to a CSV file.

Module 2: Web Scraping for Market Intelligence

Ethical Scraping Principles

Always check robots.txt before scraping
Add delays between requests (2-5 seconds minimum)
Use a descriptive User-Agent header
Never scrape personal data or private information

BeautifulSoup Fundamentals

import httpx
from bs4 import BeautifulSoup
import time

def scrape_trending_products(url):
    headers = {"User-Agent": "AutoHustle Research Bot 1.0"}
    r = httpx.get(url, headers=headers, timeout=10)
    soup = BeautifulSoup(r.text, "html.parser")

    products = []
    for item in soup.select(".product-card"):
        title = item.select_one("h3")
        price = item.select_one(".price")
        if title and price:
            products.append({
                "title": title.text.strip(),
                "price": price.text.strip()
            })
    return products

Real-World Application: Amazon Best Sellers Monitor

Track trending products in any category to identify dropshipping opportunities:

Scrape Amazon Best Sellers in your niche
Calculate price spreads (retail - wholesale)
Flag products with >40% margin potential
Auto-import to Shopify via API

CoinGecko Market Data (No Scraping Needed — Free API)

async def get_trending_cryptos():
    async with httpx.AsyncClient() as client:
        r = await client.get("https://api.coingecko.com/api/v3/search/trending")
        coins = r.json()["coins"][:7]
        return [{"name": c["item"]["name"], "rank": c["item"]["market_cap_rank"]}
                for c in coins]

Project: Build a daily market intelligence report that scrapes 3 trend sources and emails you a summary.

Module 3: Automated Content Creation & Publishing

GitHub Pages as a Free Publishing Platform

GitHub Pages gives you free web hosting. Combined with Python automation:

Publish 100+ SEO articles per day for free
Never pay for hosting
Automatic HTTPS and CDN

Setting Up Automated Blog Publishing

from git import Repo
import os

def publish_article(title, content, repo_path="./my-blog"):
    # Convert title to URL slug
    slug = title.lower().replace(" ", "-")
    slug = "".join(c for c in slug if c.isalnum() or c == "-")

    # Write HTML file
    html = f'''
{title}
{title}{content}'''

    filepath = f"{repo_path}/blog/{slug}/index.html"
    os.makedirs(os.path.dirname(filepath), exist_ok=True)
    with open(filepath, "w") as f:
        f.write(html)

    # Commit and push
    repo = Repo(repo_path)
    repo.git.add(A=True)
    repo.index.commit(f"Add: {title}")
    repo.remotes.origin.push()
    print(f"Published: https://yourusername.github.io/my-blog/blog/{slug}/")

AI-Generated Content at Scale

Use free LLM APIs to generate articles:

Groq API: 500,000 tokens/day free (ultra-fast Llama 3.3 70B)
Google Gemini: 1,000 requests/day free
Ollama: Run Llama locally, unlimited, free

import httpx

async def generate_article(topic, api_key):
    r = await httpx.AsyncClient().post(
        "https://api.groq.com/openai/v1/chat/completions",
        headers={"Authorization": f"Bearer {api_key}"},
        json={
            "model": "llama-3.3-70b-versatile",
            "messages": [{"role": "user", "content": f"Write a 1000-word SEO article about: {topic}"}],
            "max_tokens": 2000
        }
    )
    return r.json()["choices"][0]["message"]["content"]

Project: Build a pipeline that generates 10 articles per day on trending topics and auto-publishes them to GitHub Pages with affiliate links.

Module 4: Shopify Automation & E-Commerce

Shopify Admin API Basics

The Shopify Admin REST API v2025-01 gives you full control over your store:

import httpx

class ShopifyAPI:
    def __init__(self, shop_url, access_token):
        self.base = f"https://{shop_url}/admin/api/2025-01"
        self.headers = {
            "X-Shopify-Access-Token": access_token,
            "Content-Type": "application/json"
        }

    async def create_product(self, title, description, price, images=[]):
        async with httpx.AsyncClient() as client:
            r = await client.post(
                f"{self.base}/products.json",
                headers=self.headers,
                json={"product": {
                    "title": title,
                    "body_html": description,
                    "variants": [{"price": str(price), "inventory_quantity": 999}],
                    "images": [{"src": img} for img in images],
                    "status": "active"
                }}
            )
            return r.json()["product"]

CJ Dropshipping Integration

CJ Dropshipping provides free access to 500,000+ products:

Register at cjdropshipping.com (free)
Get API key from dashboard
Search products by keyword
Auto-import to Shopify with markup

async def import_cj_product(cj_product_id, markup_multiplier=2.5):
    # Fetch product from CJ
    cj_data = await get_cj_product(cj_product_id)
    cost = float(cj_data["salePrice"])

    # Create in Shopify at 2.5x markup
    shopify_product = await shopify.create_product(
        title=cj_data["productName"],
        description=cj_data["description"],
        price=round(cost * markup_multiplier, 2),
        images=cj_data["imageList"][:5]
    )
    return shopify_product

Automated Order Fulfillment

When a customer pays → auto-place order with supplier:

Webhook triggers when order is paid
Your code places order with CJ/Printful
Supplier ships directly to customer
You pocket the difference

Project: Set up a Shopify store that auto-imports 5 new products daily and auto-fulfills orders.

Module 5: Revenue Tracking & Optimization

Setting Up a Revenue Dashboard

Track all income streams in one place with SQLite:

import sqlite3
from datetime import datetime

def setup_revenue_db():
    conn = sqlite3.connect("revenue.db")
    conn.execute('''
        CREATE TABLE IF NOT EXISTS revenue (
            id INTEGER PRIMARY KEY,
            source TEXT,
            amount REAL,
            description TEXT,
            recorded_at TEXT DEFAULT CURRENT_TIMESTAMP
        )
    ''')
    conn.commit()
    return conn

def record_revenue(source, amount, description=""):
    conn = sqlite3.connect("revenue.db")
    conn.execute("INSERT INTO revenue (source, amount, description) VALUES (?,?,?)",
                 (source, amount, description))
    conn.commit()
    print(f"Revenue: +${amount:.2f} from {source}")

A/B Testing for Content

Test which article titles, product descriptions, and CTAs perform best:

Track click-through rates from blog to store
Test 2 versions of product descriptions
Auto-promote the winner after 48 hours

Affiliate Link Optimization

Amazon Associates pays 1-10% commission. Maximize it:

Place affiliate links in highest-traffic positions
Track which articles generate most clicks
Update low-performing links with better alternatives

def add_affiliate_links(content, associate_tag):
    # Auto-replace product mentions with affiliate links
    products_to_link = {
        "laptop": f"https://www.amazon.com/s?k=laptop&tag={associate_tag}",
        "headphones": f"https://www.amazon.com/s?k=headphones&tag={associate_tag}",
    }
    for product, link in products_to_link.items():
        content = content.replace(product, f'{product}')
    return content

Project: Build a daily email report showing revenue by source, top articles, and week-over-week growth.

Module 6: Scaling to $1,000/Month

The $1K/Month Formula

Based on real AutoHustle data, here's the proven path:

Month 1 ($0-$100): Foundation

Set up GitHub Pages blog (0 cost)
Publish 60 SEO articles (automated, free)
Add Amazon affiliate links
Expected: 10 sales × $10 avg = $100

Month 2 ($100-$400): Products

Launch 2 digital products on Stripe ($29-$57 each)
Use your blog traffic to sell products
Add email list (ConvertKit free tier, 1000 subscribers)
Expected: $100 affiliate + $300 products = $400

Month 3 ($400-$1,000): Scale

Open Shopify store with dropshipping
Automate 5 products/day with CJ Dropshipping
Run Google Shopping ads ($50/month budget)
Expected: $400 content + $400 store + $200 misc = $1,000+

Automation Stack (All Free)

ToolPurposeCost GitHub PagesBlog hostingFree Groq APIAI contentFree 500K/day Google GeminiBackup AIFree 1K/day ShopifyStore (basic plan required)$29/mo CJ DropshippingProductsFree StripePayments2.9% + $0.30 ConvertKitEmailFree 1K

Your 30-Day Action Plan

Week 1: Set up all accounts, publish 20 articles

Week 2: Add affiliate links, set up email capture

Week 3: Launch first digital product on Stripe

Week 4: Open Shopify store, import first 10 products

The Key: Automate everything. The goal is to build once and earn forever.

Your Python scripts should be running 24/7 generating revenue while you sleep.

Congratulations on completing Python Automation Mastery!

Questions? Reply to your purchase confirmation email.

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