## File: README.md # MoneyPrinter V2 [](https://readme.cash/c/d3t49gsk71) [](https://github.com/FujiwaraChoki/MoneyPrinterV2) [](https://www.buymeacoffee.com/fujicodes) [](https://github.com/FujiwaraChoki/MoneyPrinterV2/blob/main/LICENSE) [](https://github.com/FujiwaraChoki/MoneyPrinterV2/issues) [](https://github.com/FujiwaraChoki/MoneyPrinterV2/stargazers) [](https://dsc.gg/fuji-community) An Application that automates the process of making money online. MPV2 (MoneyPrinter Version 2) is, as the name suggests, the second version of the MoneyPrinter project. It is a complete rewrite of the original project, with a focus on a wider range of features and a more modular architecture. > **Note:** MPV2 needs Python 3.12 to function effectively. > Watch the YouTube video [here](https://youtu.be/wAZ_ZSuIqfk) ## Features - [x] Twitter Bot (with CRON Jobs => `scheduler`) - [x] YouTube Shorts Automator (with CRON Jobs => `scheduler`) - [x] Affiliate Marketing (Amazon + Twitter) - [x] Find local businesses & cold outreach ## Versions MoneyPrinter has different versions for multiple languages developed by the community for the community. Here are some known versions: - Chinese: [MoneyPrinterTurbo](https://github.com/harry0703/MoneyPrinterTurbo) If you would like to submit your own version/fork of MoneyPrinter, please open an issue describing the changes you made to the fork. ## Installation > ⚠️ If you are planning to reach out to scraped businesses per E-Mail, please first install the [Go Programming Language](https://golang.org/). ```bash git clone https://github.com/FujiwaraChoki/MoneyPrinterV2.git cd MoneyPrinterV2 # Copy Example Configuration and fill out values in config.json cp config.example.json config.json # Create a virtual environment python -m venv venv # Activate the virtual environment - Windows .\venv\Scripts\activate # Activate the virtual environment - Unix source venv/bin/activate # Install the requirements pip install -r requirements.txt ``` ## Usage ```bash # Run the application python src/main.py ``` ## Documentation All relevant documents can be found [here](docs/). ## Scripts For easier usage, there are some scripts in the `scripts` directory that can be used to directly access the core functionality of MPV2 without the need for user interaction. All scripts need to be run from the root directory of the project, e.g. `bash scripts/upload_video.sh`. ## Contributing Please read [CONTRIBUTING.md](CONTRIBUTING.md) for details on our code of conduct, and the process for submitting pull requests to us. Check out [docs/Roadmap.md](docs/Roadmap.md) for a list of features that need to be implemented. ## Code of Conduct Please read [CODE_OF_CONDUCT.md](CODE_OF_CONDUCT.md) for details on our code of conduct, and the process for submitting pull requests to us. ## License MoneyPrinterV2 is licensed under `Affero General Public License v3.0`. See [LICENSE](LICENSE) for more information. ## Acknowledgments - [KittenTTS](https://github.com/KittenML/KittenTTS) - [gpt4free](https://github.com/xtekky/gpt4free) ## Disclaimer This project is for educational purposes only. The author will not be responsible for any misuse of the information provided. All the information on this website is published in good faith and for general information purposes only. The author does not make any warranties about the completeness, reliability, and accuracy of this information. Any action you take upon the information you find on this website (FujiwaraChoki/MoneyPrinterV2) is strictly at your own risk. The author will not be liable for any losses and/or damages in connection with the use of our website. --- ## File: docs/AffiliateMarketing.md # AFM This class is responsible for the Affiliate Marketing part of MPV2. It uses Ollama (as all other classes) as its way to utilize the power of LLMs, in this case, to generate tweets, based on information about an **Amazon Product**. MPV2 will scrape the page of the product, and save the **product title**, and **product features**, thus having enough information to be able to create a pitch for the product, and post it on Twitter. ## Relevant Configuration In your `config.json`, you need the following attributes filled out, so that the bot can function correctly. ```json { "firefox_profile": "The path to your Firefox profile (used to log in to Twitter)", "headless": true, "ollama_base_url": "http://127.0.0.1:11434", "threads": 4 } ``` ## Roadmap Here are some features that are planned for the future: - [ ] Scrape more information about the product, to be able to create a more detailed pitch. - [ ] Join online communities related to the product, and post a pitch (with a link to the product) there. - [ ] Reply to tweets that are related to the product, with a pitch for the product. --- ## File: docs/Configuration.md # Configuration All your configurations will be in a file in the root directory, called `config.json`, which is a copy of `config.example.json`. You can change the values in `config.json` to your liking. ## Values - `verbose`: `boolean` - If `true`, the application will print out more information. - `firefox_profile`: `string` - The path to your Firefox profile. This is used to use your Social Media Accounts without having to log in every time you run the application. - `headless`: `boolean` - If `true`, the application will run in headless mode. This means that the browser will not be visible. - `ollama_base_url`: `string` - Base URL of your local Ollama server (default: `http://127.0.0.1:11434`). - `ollama_model`: `string` - Ollama model to use for text generation (e.g. `llama3.2:3b`). If empty, the app queries Ollama at startup and lets you pick from the available models interactively. - `twitter_language`: `string` - The language that will be used to generate & post tweets. - `nanobanana2_api_base_url`: `string` - Nano Banana 2 API base URL (default: `https://generativelanguage.googleapis.com/v1beta`). - `nanobanana2_api_key`: `string` - API key for Nano Banana 2 (Gemini image API). If empty, MPV2 falls back to environment variable `GEMINI_API_KEY`. - `nanobanana2_model`: `string` - Nano Banana 2 model name (default: `gemini-3.1-flash-image-preview`). - `nanobanana2_aspect_ratio`: `string` - Aspect ratio for generated images (default: `9:16`). - `threads`: `number` - The amount of threads that will be used to execute operations, e.g. writing to a file using MoviePy. - `is_for_kids`: `boolean` - If `true`, the application will upload the video to YouTube Shorts as a video for kids. - `google_maps_scraper`: `string` - The URL to the Google Maps scraper. This will be used to scrape Google Maps for local businesses. It is recommended to use the default value. - `zip_url`: `string` - The URL to the ZIP file that contains the to be used Songs for the YouTube Shorts Automater. - `email`: `object`: - `smtp_server`: `string` - Your SMTP server. - `smtp_port`: `number` - The port of your SMTP server. - `username`: `string` - Your email address. - `password`: `string` - Your email password. - `google_maps_scraper_niche`: `string` - The niche you want to scrape Google Maps for. - `scraper_timeout`: `number` - The timeout for the Google Maps scraper. - `outreach_message_subject`: `string` - The subject of your outreach message. `{{COMPANY_NAME}}` will be replaced with the company name. - `outreach_message_body_file`: `string` - The file that contains the body of your outreach message, should be HTML. `{{COMPANY_NAME}}` will be replaced with the company name. - `stt_provider`: `string` - Provider for subtitle transcription. Default is `local_whisper`. Options: * `local_whisper` * `third_party_assemblyai` - `whisper_model`: `string` - Whisper model for local transcription (for example `base`, `small`, `medium`, `large-v3`). - `whisper_device`: `string` - Device for local Whisper (`auto`, `cpu`, `cuda`). - `whisper_compute_type`: `string` - Compute type for local Whisper (`int8`, `float16`, etc.). - `assembly_ai_api_key`: `string` - Your Assembly AI API key. Get yours from [here](https://www.assemblyai.com/app/). - `tts_voice`: `string` - Voice for KittenTTS text-to-speech. Default is `Jasper`. Options: `Bella`, `Jasper`, `Luna`, `Bruno`, `Rosie`, `Hugo`, `Kiki`, `Leo`. - `font`: `string` - The font that will be used to generate images. This should be a `.ttf` file in the `fonts/` directory. - `imagemagick_path`: `string` - The path to the ImageMagick binary. This is used by MoviePy to manipulate images. Install ImageMagick from [here](https://imagemagick.org/script/download.php) and set the path to the `magick.exe` on Windows, or on Linux/MacOS the path to `convert` (usually /usr/bin/convert). - `script_sentence_length`: `number` - The number of sentences in the generated video script (default: `4`). - `post_bridge`: `object`: - `enabled`: `boolean` - Enables Post Bridge cross-posting after successful YouTube uploads. - `api_key`: `string` - Your Post Bridge API key. If empty, MPV2 falls back to `POST_BRIDGE_API_KEY`. - `platforms`: `string[]` - Platforms to target. Supported values in v1 are `tiktok` and `instagram`. - `account_ids`: `number[]` - Optional fixed Post Bridge account IDs to avoid account-selection prompts. - `auto_crosspost`: `boolean` - If `true`, cross-post automatically after a successful YouTube upload. If `false`, interactive runs ask and cron runs skip. ## Example ```json { "verbose": true, "firefox_profile": "", "headless": false, "ollama_base_url": "http://127.0.0.1:11434", "ollama_model": "", "twitter_language": "English", "nanobanana2_api_base_url": "https://generativelanguage.googleapis.com/v1beta", "nanobanana2_api_key": "", "nanobanana2_model": "gemini-3.1-flash-image-preview", "nanobanana2_aspect_ratio": "9:16", "threads": 2, "zip_url": "", "is_for_kids": false, "google_maps_scraper": "https://github.com/gosom/google-maps-scraper/archive/refs/tags/v0.9.7.zip", "email": { "smtp_server": "smtp.gmail.com", "smtp_port": 587, "username": "", "password": "" }, "google_maps_scraper_niche": "", "scraper_timeout": 300, "outreach_message_subject": "I have a question...", "outreach_message_body_file": "outreach_message.html", "stt_provider": "local_whisper", "whisper_model": "base", "whisper_device": "auto", "whisper_compute_type": "int8", "assembly_ai_api_key": "", "tts_voice": "Jasper", "font": "bold_font.ttf", "imagemagick_path": "Path to magick.exe or on linux/macOS just /usr/bin/convert", "script_sentence_length": 4, "post_bridge": { "enabled": false, "api_key": "", "platforms": ["tiktok", "instagram"], "account_ids": [], "auto_crosspost": false } } ``` ## Environment Variable Fallbacks - `GEMINI_API_KEY`: used when `nanobanana2_api_key` is empty. - `POST_BRIDGE_API_KEY`: used when `post_bridge.api_key` is empty. Example: ```bash export GEMINI_API_KEY="your_api_key_here" export POST_BRIDGE_API_KEY="your_post_bridge_api_key_here" ``` See [PostBridge.md](./PostBridge.md) for the full Post Bridge setup and behavior details. --- ## File: docs/Roadmap.md # MPV2 Roadmap This document outlines the features that need to be implemented in MPV2. ## Features - [ ] Automated Cold Calling - [ ] Item Flipping (such as sneakers) - [ ] Create a Short based on long-form content - [ ] Subtitles for Shorts ## Adding a new feature If you want to add a new feature to MPV2, please create a new issue and label it with `enhancement`. After that, create a new branch and start working on the feature. Once you are done, create a pull request and assign it to the issue you created earlier. ## Contributing Please read [CONTRIBUTING.md](CONTRIBUTING.md) for details on our code of conduct, and the process for submitting pull requests to us. --- ## File: docs/TwitterBot.md # Twitter Bot This bot is designed to automate the process of growing a Twitter account. Once you created a new account, provide the path to the Firefox Profile and the bot will start posting tweets based on the subject you provided during the account creation. ## Relevant Configuration In your `config.json`, you need the following attributes filled out, so that the bot can function correctly. ```json { "twitter_language": "Any Language, formatting doesn't matter", "headless": true, "llm": "The Large Language Model you want to use, check Configuration.md for more information", } ``` --- ## File: docs/YouTube.md # YouTube Shorts Automater MPV2 uses a similar implementation of V1 (see [MPV1](https://github.com/FujiwaraChoki/MoneyPrinter)), to generate Video-Files and upload them to YouTube Shorts. In contrast to V1, V2 uses AI generated images as the visuals for the video, instead of using stock footage. This makes the videos more unique and less likely to be flagged by YouTube. V2 also supports music right from the get-go. ## Relevant Configuration In your `config.json`, you need the following attributes filled out, so that the bot can function correctly. ```json { "firefox_profile": "The path to your Firefox profile (used to log in to YouTube)", "headless": true, "llm": "The Large Language Model you want to use to generate the video script.", "image_model": "What AI Model you want to use to generate images.", "threads": 4, "is_for_kids": true } ``` ## Roadmap Here are some features that are planned for the future: - [ ] Subtitles (using either AssemblyAI or locally assembling them)