Social Media : Master Social Media Automation with Python

Learn to automate WhatsApp messaging with Python, including sending text or image messages to individuals or groups, and scheduling messages to send later.

This lecture introduces the WhatsApp automation toolkit, shows how to install it with pip in a Jupyter notebook, and imports the library to prepare sending messages.

Log into WhatsApp Web to enable automation, then schedule a message by receiver number, message text, and a precise hour and minute for delivery.

Automate WhatsApp messaging with Python by scheduling messages, setting delays in seconds, and optionally closing the tab after sending, using receiver number, hour, minute, and message content.

Send an image to a contact using a Python method, specifying the receiver's number, image path, and an optional caption, with speed of internet affecting delivery.

Learn to send and schedule messages to a WhatsApp group using an invite link and admin access, via pywhatkit, for automated group messaging.

Learn to automate WhatsApp image sharing with Python by sending pictures to groups with captions using a group link and the pilot library.

Explore how pivot kit retrieves information, plays YouTube videos, runs Google searches, and automates WhatsApp messaging—plus a glimpse of Gmail automation.

Automate email sending with Python using the Gmail server to mail reports, with attachments, subject, recipient, sender, and message body.

Learn how to automate emails with a Gmail account using SMTP lib, including creating a new email file, importing mime components, and preparing multipart messages for attachments.

Link a Gmail account to an SMTP library by configuring email and app password, enabling start TLS, and logging in to the SMTP host smtp dot gmail on port 587.

Learn to build a mime multipart email in python, set from, to, subject, and body, and send it via SMTP. Explore attaching files to your messages.

Attach files to emails using python's smtp library by opening the file, creating a mime attachment, and sending with a customized subject; explore scheduling and future YouTube analytics automation.

Discover a new module that teaches scheduling in Python using the scheduling library to automate function execution at specific times, like every few minutes, hours, or days.

Install and import the schedule library with pip, combine it with the time library, and practice scheduling tasks in notebooks using the documentation.

Learn to schedule a python function that prints hello world every two seconds and set up automation to send an email every ten seconds, using schedule.run_pending.

Schedule emails with Python using a generic scheduler that supports seconds, minutes, hours, days, and specific times, and implement a mail scheduler with SMTP to automate messages.

Automate your YouTube channel data by creating an API key to fetch channel, playlists, and video metrics, including likes, views, and comments, and download customizable reports in csv or pdf.

Generate a YouTube api key by creating a project, enabling the YouTube data api v3 library, and creating credentials, then copy and securely delete the key.

Learn to fetch and present YouTube channel information using Python, including retrieving channel ID, API key, and stats like views, subscribers, video count, and description.

Learn to fetch YouTube playlist data via API, retrieving playlist titles and total video counts by querying playlist info and iterating through items.

Install the Python dash YouTube library with pip, import the API class, and instantiate it with your YouTube channel API key to automate YouTube tasks.

Learn how to store and iterate playlist data in Python, print each playlist name and total number of videos, and prepare to fetch details for a specific video.

Learn to fetch playlist items by playlist ID, extract video IDs, and retrieve video data by ID to parse the video title, total views, total likes, and total comments.

Display video data by printing the title and view counts, like and comment counts; fetch videos by id from YouTube channels and playlists; and automate email reporting on a schedule.

Fetch all video titles, views, likes, comments, and links from your YouTube channel playlists using the api, then store the results in report.csv with pandas.

Create a pandas dataframe with columns for video title, views, likes, comments, and video link, then loop over API results to populate metrics.

Learn to extract YouTube video data with python, build a data frame, and generate a csv report with video titles, total counts, total likes, total comments, and video links.

Learn how to automate Facebook posts, photos, and comments by reading a YouTube report CSV and scheduling uploads to your Facebook page.

Learn to automate Facebook with the Facebook SDK, a wrapper around Graph API. Install via pip, import the library, create a Facebook object, and prepare an access token.

Create a business app as page admin, obtain a page access token via Graph API Explorer, and extend it to two months to automate posting with the Facebook Graph API.

Post a hello world to a sciences Facebook page using the Facebook SDK and Graph API, capturing the post ID to manage future actions such as commenting, liking, or deleting.

Master posting a photo with a caption on a Facebook page, fetch posts by ID, and read post details like create time, caption, and combined page and post IDs.

Learn to comment on a Facebook post via the graph api by setting the parent object, using the comment connection, and specifying the message, while handling permissions.

Learn to automate Facebook interactions with Python by liking and deleting posts, then post video titles and links from a YouTube report file, scaling to multiple posts.

Develop a python script that reads a CSV of video titles and links with pandas and posts each title and link to the Facebook feed, with a short delay.

Celebrate completing social media automation with Python course; gain practical insights across AI, ML, statistics and data science, and share your honest feedback to help future learners.