WhatsApp Automation - Become a WhatsApp Genius (2023)

Sign up for Twilio, verify your email and phone, set up a WhatsApp sandbox with Python on Heroku, and activate the sandbox by messaging the provided number.

Sign up for MongoDB, create a new project for a WhatsApp automation app using Python, choose the free tier, and configure the project name for easy identification.

Install python 3.10 and set up path access, then install PyCharm Community Edition and configure the interpreter to run a hello world program in the terminal.

Install npm and required packages with the long-term support (lts) version, verify npm, then globally install node one and local channel, and Python packages flask, studio, pymongo, and dns fights.

Create a basic WhatsApp automation bot by wiring a client, Twilio, and a Flask server to receive messages, generate responses, and deploy for WhatsApp testing.

Learn how to fix localtunnel giving random urls by choosing a unique subdomain and handling collisions. Terminate running processes (ctrl+c) to reset and ensure things work properly.

Learn to automate WhatsApp interactions by sending photos, videos, and PDFs as replies and extracting the sender’s number and message text with Python.

Learn to use if-then rules for conditional messaging, such as if the text equals high then respond with hello, and test it for future WhatsApp automation.

Build a WhatsApp bot for a cake shop to automate customer service, guiding users from welcome to ordering and address pages, with input validation and MongoDB-backed user and order tracking.

Configure MongoDB for the project by creating a Bakary database with users and orders collections, then create a database user with read and write access and connect the cluster.

Build the main page of a WhatsApp automation app by connecting to MongoDB with PyMongo, initializing the bakery database, and handling user messages with option-driven responses.

Build and validate the ordering page by handling numeric and non-numeric input, updating the status domain, and sending confirmation messages, mapping numbers to red velvet cake and prompting for address.

Build an address page for a WhatsApp order flow. Send two confirmation messages and insert orders into MongoDB with fields for address, selected cake, and order time.

Enable multiple orders by updating user status after audit and reflecting their ordered status on the order page to streamline repeats.

deploy your whatsapp automation bot to the cloud with heroku by linking a github repository and creating a requirements file and a block file; monitor logs to verify deployment.

Test the deployed WhatsApp bot on Heroku, verify sandbox connectivity, audit logs, and end-to-end order flow from red velvet cake confirmation to delivery within an hour.

Deploy a Flask server to render dot com as a Heroku alternative by signing up, linking GitHub, creating a web service, and configuring the Twilio WhatsApp sandbox to test messaging.

Learn WhatsApp automation via an Android emulator setup, using a modified open-source Automatic app with a server, and demo post requests and automated messaging without paid services.

Install the modified version of automatic, enable auto reply, and grant notification access to read whatsapp messages and reply. Then configure your server and adjust the code for compatibility.

Remove unused video and messaging, implement a reply object, replace transport message with the reply, concatenate messages for automatic sending, and enable invalid certificates and DNS for testing.

Learn how to automate WhatsApp web using Selenium and a Python library to avoid boilerplate, enabling sending and receiving messages with easy updates when the site changes.

Configure Open WME's WhatsApp automation library and connect via the socket client in Python, then scan the QR code to login and explore API methods on port 5000.

Set up the automation library and connect the Python client to the API via a socket, then auto-reply to messages by extracting text and number and sending text or images.

Demonstrates sending local images and media via the library by specifying image paths, organizing into an images directory, and testing with images and videos, including chrome flag use.

Learn how to send stickers and react to messages using the WhatsApp automation library, including message IDs and emoji reactions, and explore the library's features and documentation.

Discover deployment methods for the WhatsApp automation API and Python client, including a Heroku boilerplate with an API key flag and VM or cloud deployments.