AI Powered RPA Bot : AutoPilot Affiliate Marketing By Python

Install Python and Java, set up Bot City Studio, and create accounts on digits to 24 application, ChatGPT, Blogger, and Nvidia to automate the project.

Learn to set up and orchestrate automation with Bot City, building Python-based RPA workflows using Studio, computer vision element recognition, and a suite of plugins for popular services.

Install Bot City Studio by downloading the SDK, extracting the zip, launching the jar with Java Launcher, and configuring your account, server, and runner.

Learn how to set up a DigiStore24 account as an affiliate, navigate the dashboard and marketplace, choose products to promote, and generate affiliate links automatically.

Set up a ChatGPT account by signing up with Google, entering the verification code, and upgrading to ChatGPT Plus for faster responses, plugins, and model options.

Set up a blogger account on blogger.com by logging in with Gmail, create a blog and post, customize the theme, and configure search engine and robots settings for SEO readiness.

Set up your invideo.io account with Google and learn to create YouTube shorts using prompts that generate video, voiceover, subtitles, background music, and manage history and eyestalk options.

Create and customize a YouTube channel for affiliate marketing, switch accounts, set basic info and branding, upload shorts, apply a logo and watermark, and tailor descriptions for audience reach.

Explore why this crash course is essential for building automation, covering Port City and Chettipatti basics, Python fundamentals, and Bot City desktop and web autopilot bot concepts.

Create a desktop bot from a template using Bot City Studio and Python, install cookie cutter, generate a project skeleton, and run bot.py to automate UI tasks with computer vision.

Create a desktop automation bot in Python by inheriting from the desktop bot class, implementing action, opening calculator, performing multiplication, and reading the result from the clipboard.

Explore web automation with Bot City Web in Python, set up a Chrome driver, create a template project, and use XPath to click pricing and read community edition details.

Build a Python class based web bot to automate an end-to-end e-commerce flow with Bot City, including category selection, product scraping, add-to-cart, JS dialogue handling, and order placement.

Learn to use the Bot City files plugin to monitor the downloads folder, wait for files, and zip or unzip files and folders in Python automations.

Enable custom instructions in ChatGPT’s beta features to tailor responses with your data. Specify what the model should know about you and how to respond within a 1500-character limit.

Configure ChatGPT to respond exclusively in json, delivering a structured parseable format. Use custom instructions and python parsing to automate data extraction.

Create a Python-based audio interface that converts text to speech and captures microphone input to convert speech to text using Google Speech Recognition, powered by Pyttsx3 and SpeechRecognition.

Explore the project architecture, download the resource folder, and study the python code flow across modules. Learn key folders, drivers and lib, plus requirements.txt and the bot prompts file.

Learn to run a Python-powered rpa bot for daily research in the DG store 24 app. Automate selecting fitness and health products, and extract data for seo-ready content.

Automate the user login flow for the store 24 application using a Python RPA bot, detailing web and desktop components, a credentials map, and type keys to log in.

Automate product search and data map creation with a python-based rpa bot, extracting image, description, and affiliate link from a category page into a hash map.

Execute and validate the rpa workflow by fetching digit store 24 affiliate product data and building a category and product hash map with link, image, and description.

Learn to configure ChatGPT custom instructions to deliver json-formatted responses for Python automation, with code blocks, a one-time setup, and application to all new chats.

Structure prompts effectively for content creation with ChatGPT, using blogger prompts and YouTube prompts, and json output, to generate blog posts and scripts while avoiding affiliate marketing.

Automate creating a new chat for every product using Chat Deputy with GPT-4 options, API key authentication, and a Bot City desktop bot to manage sessions.

Automate content creation with ChatGPT prompts to generate blog articles and YouTube scripts, convert responses to JSON, and organize data in a hashmap for easy retrieval.

Learn to read and extract a bot-generated JSON response by automating prompt execution, waiting for regeneration, scrolling to locate copy code, and capturing clipboard content for downstream processing.

Configure the one-time blogger setup in Edge browser to enable the AI powered bot to create blog posts using templates from the Blogger dashboard on a Windows VM.

Learn to design and implement blog post templates for AI-powered bots. Include HTML templates, affiliate links, disclosures, image handling, and SEO keywords to automate content and sales pages.

Explore how the block_template class reads article templates and drives blog post creation with desktop automation to set titles, edit html, apply labels, and publish posts.

Update the article template with product data—link, image, keywords, and blog article—then automate blog post and YouTube script generation using ChatGPT outputs, with clipboard-based replacements.

Run the Python script to execute and validate an automatically generated blog post, verify content creation and new category labeling, and preview affiliate links, YouTube shorts, and bot-driven promotion.

Set up the InVideo browser on a Windows VM to automate creating YouTube shorts for your affiliate product, configure Edge downloads, and optimize prompts for a one-time setup.

Explores building and running the invideo class, wiring desktop bot and bot files plugin with an audio handler to generate a YouTube short via a prompt template.

Automate video generation and download using a prompt-driven template in the video app, coordinating UI clicks, waits, and export to mp4 for YouTube shorts.

Execute the bot to automatically generate YouTube videos from ChatGPT scripts, validate the end-to-end video pipeline with Nvidia AI, and download the completed files for YouTube uploads.

Set up the YouTube studio browser in a Windows VM and automate uploading YouTube shorts using the create button, while organizing videos on the content tab for easy tracking.

Demonstrate the video upload flow from the UI, including selecting files, pasting the file path, editing the title, adding hashtags and description with affiliate and blog links, and publishing publicly.

Discover how a Python YouTube uploader class handles video uploads to YouTube Studio. Learn how it constructs titles with hashtags, includes affiliate links, and manages file paths for seamless uploads.

Execute the complete bot to fetch a product, create content, generate blog posts, and upload two YouTube videos while validating the workflow and optimizing for search.

Focus affiliate marketing by running your bot 3 to 4 times a day with 2 to 3 hour gaps, dividing niche products into groups to optimize YouTube shorts views.

Analyze how your automated content performs for affiliate marketing, use human checks to identify popular niches, and tune your bot to produce more in-demand content, boosting visibility and sales.

Explore how to create an AI powered bot that automates the complete affiliate marketing process and learn strategies to promote eye catching content to a wider audience.