Meet the Bloggers Making Full-Time Incomes Using Just Prompts and Python

import requests
import json
from datetime import datetime, timedelta

# Note: In 2025, you'd likely use a more sophisticated, authenticated Google Trends API client.
# This is a conceptual example.

def get_trending_searches(country_code='US', limit=5):
    """Fetches top trending daily searches."""
    # This is a simplified conceptual URL. Actual Google Trends API would differ.
    api_url = f"https://api.trends.google.com/daily-searches?geo={country_code}&limit={limit}"
    
    try:
        response = requests.get(api_url)
        response.raise_for_status() # Raise an HTTPError for bad responses (4xx or 5xx)
        data = response.json()
        
        trending_topics = []
        if 'trends' in data: # Assuming a 'trends' key in the response
            for item in data['trends']:
                trending_topics.append({
                    "title": item.get('title'),
                    "traffic": item.get('traffic'), # Estimated traffic
                    "url": item.get('url') # Link to the Google Trends page for more info
                })
        return trending_topics
    except requests.exceptions.RequestException as e:
        print(f"Error fetching trending searches: {e}")
        return []

if __name__ == "__main__":
    trends = get_trending_searches(country_code='US', limit=3)
    print("--- Top 3 Daily Trending Searches (Conceptual) ---")
    if trends:
        for i, trend in enumerate(trends):
            print(f"{i+1}. {trend['title']} (Traffic: {trend['traffic']})")
            print(f"   More info: {trend['url']}")
    else:
        print("No trends found or an error occurred.")

import os
# from langchain.llms import OpenAI # In 2025, you'd use a more specific GPT-5 client
# from langchain.prompts import PromptTemplate
# from langchain.chains import LLMChain

# For demonstration, we'll simulate an API call
def generate_article_section(topic, keywords, section_title, tone="informative", word_count=200):
    """
    Simulates generating a blog section using an AI model like GPT-5.
    In a real scenario, this would involve LangChain for prompt templating
    and API calls.
    """
    # Replace with your actual GPT-5 API client initialization
    # llm = OpenAI(api_key=os.environ.get("GPT5_API_KEY")) 

    # Conceptual prompt for the AI
    prompt_template = f"""
    You are an expert technical blogger. Write an informative and engaging section for a blog post.

    Blog Post Topic: {topic}
    Target Keywords: {', '.join(keywords)}
    Section Title: {section_title}
    Tone: {tone}
    Word Count Target: approximately {word_count} words.

    Focus on clarity, practical insights, and SEO best practices. Ensure the content flows logically.
    """
    
    # Simulate API call and response
    print(f"\n--- Sending prompt to AI for '{section_title}' ---")
    print(f"PROMPT:\n{prompt_template}")
    
    simulated_response = f"""
    ## {section_title}

    In the rapidly evolving world of {topic.lower()}, staying ahead means embracing new paradigms. Our focus on {keywords[0]} reveals a critical shift towards efficiency and scalability. For instance, the latest advancements in AI-driven {keywords[1]} are not just theoretical; they are delivering tangible results for solo creators aiming to maximize their output.

    Consider the implications for content creators. No longer constrained by manual keyword analysis or the laborious process of drafting lengthy articles, these tools allow for unprecedented levels of automation. This newfound freedom empowers bloggers to diversify their content streams, explore new niches, and, crucially, focus on the strategic elements that truly drive monetization. It’s about working smarter, not harder.
    """
    return simulated_response.strip()

if __name__ == "__main__":
    blog_topic = "The Future of AI in Content Creation"
    target_keywords = ["AI content automation", "scalable blogging", "prompt engineering"]
    
    introduction = generate_article_section(
        blog_topic, target_keywords, "Introduction: Redefining Content Production", tone="energetic", word_count=150
    )
    print(introduction)
    
    # You would repeat this for multiple sections, then combine them.

import requests
import json
import base64 # For image handling, if needed

# In 2025, you might use a more robust library or a dedicated SDK.
# This example uses the WordPress REST API, which is more modern than XML-RPC for many cases.

def create_wordpress_post(title, content, categories, tags, status='publish', username='your_user', password='your_app_password', site_url='https://yourblog.com/wp-json/wp/v2/'):
    """
    Creates a new post on a WordPress site via its REST API.
    Requires Application Passwords enabled on your WordPress site.
    """
    
    headers = {
        'Content-Type': 'application/json',
        'Authorization': 'Basic ' + base64.b64encode(f"{username}:{password}".encode()).decode('utf-8')
    }
    
    data = {
        'title': title,
        'content': content,
        'status': status,
        'categories': categories, # List of category IDs
        'tags': tags              # List of tag IDs
        # 'featured_media': media_id # If uploading images separately
    }
    
    post_url = f"{site_url}posts"
    
    try:
        response = requests.post(post_url, headers=headers, data=json.dumps(data))
        response.raise_for_status() 
        post_info = response.json()
        print(f"Successfully created post: '{post_info.get('title', {}).get('rendered')}'")
        print(f"View here: {post_info.get('link')}")
        return post_info
    except requests.exceptions.RequestException as e:
        print(f"Error creating WordPress post: {e}")
        if response.status_code == 401:
            print("Authentication failed. Check your username and Application Password.")
        elif response.status_code == 403:
            print("Permission denied. Check user roles or API settings.")
        print(f"Response: {response.text}")
        return None

if __name__ == "__main__":
    # Note: Replace with your actual WordPress details and category/tag IDs
    # Find category/tag IDs by inspecting their URLs or using the WP REST API endpoints:
    # /wp-json/wp/v2/categories and /wp-json/wp/v2/tags
    
    # Placeholder IDs for demonstration
    example_category_id = 1 # e.g., 'Automation' category ID
    example_tag_ids = [2, 3] # e.g., 'AI', 'Monetization' tag IDs

    new_post_title = "Automating Your Blog for 2025: A Practical Guide"
    new_post_content = """
    <p>This post was fully generated and published using prompts and Python!</p>
    <p>The future of content creation is here, enabling solo creators to scale their efforts like never before. With tools like GPT-5 and custom Python scripts, the barrier to entry for high-volume, high-quality content production has dramatically lowered. Embrace automation, and unlock new levels of productivity and profit.</p>
    <p>Remember to always review AI-generated content for accuracy and brand voice before publishing.</p>
    """

    # Ensure you set these environment variables or replace with actual values for testing
    # os.environ['WP_USER'] = 'your_wordpress_username'
    # os.environ['WP_APP_PASS'] = 'your_wordpress_application_password'
    # os.environ['WP_SITE_URL'] = 'https://yourblog.com/wp-json/wp/v2/'

    # post = create_wordpress_post(
    #     new_post_title,
    #     new_post_content,
    #     [example_category_id],
    #     example_tag_ids,
    #     username=os.environ.get('WP_USER'),
    #     password=os.environ.get('WP_APP_PASS'),
    #     site_url=os.environ.get('WP_SITE_URL')
    # )

    print("\n--- Conceptual WordPress Post Creation ---")
    print(f"Title: {new_post_title}")
    print(f"Content: {new_post_content[:150]}...")
    print(f"Categories: {example_category_id}")
    print(f"Tags: {example_tag_ids}")
    print("\n(Actual API call would happen here with valid credentials)")
    print("Example: Successfully created post: 'Automating Your Blog for 2025: A Practical Guide'")
    print("Example: View here: https://yourblog.com/automating-your-blog-for-2025/")