Building Twitter Bot With Python and Tweepy - Python Project

Learn to create a Twitter developer account, obtain the API access token, and set up two accounts for control and testing, then create the app.

Create a Twitter app from the dashboard, enter a name and description (website optional), generate read/write access tokens, securely manage the four keys, and regenerate them after the course.

Install tweepy with pip for Python 3.7, set up a project folder, and create a bot file; import tweepy to verify installation and prepare token and key for next lesson.

Authenticate with consumer keys and access tokens, create an API object, and update Twitter status using Tweepy by performing read and write operations.

Build an auto-reply Twitter bot with Python and Tweepy that replies to tweets containing a specific hashtag and tagging our account, and can read tweets, like, and automate comments.

Explore using the Twitter API with Tweepy to fetch the mentions timeline, inspect tweet text and hashtags, and build logic to reply to targeted tweets.

Iterate through tweets with a for loop, filter by a hashtag using lowercase text, print or reply to new tweets, and track the last replied tweet to avoid duplicates.

Learn how to store and access the last seen id to fetch tweets after that id, enable extended mode, and update the stored id as you reply to tweets.

Build a python twitter bot with tweepy that stores tweet ideas, replies to tweets in order by reversing fetch results, and updates status with a tagged user every 15 seconds.

Format a reply function and test the bot by looping every few seconds, using last seen to avoid duplicates, then read, reply to, and like new tweets.

Automate Twitter engagement with auto retweet, auto like, and auto reply for mentions containing a hashtag, using the create favorite and destroy favorite methods.

Deploy your twitter bot on pythonanywhere, compare free and paid plans, sign up, manage files via the dashboard and console, and install dependencies with pip.

Deploy a Twitter bot with Python and Tweepy while testing during deployment, troubleshoot pip install issues with --user or a virtual environment, and run timed tweets before hosting online.

Automate Twitter engagement by selecting a hashtag, fetching the latest tweets, and retweeting and liking them with Python and Tweepy.

Implement robust error handling for your Twitter bot using try and except, with exception handling, add deliberate delays between actions, and test tweeting, timelines, mentions, and hashtag filters with Tweepy.

Celebrate completing this course as you unlock new skills in building a Twitter bot with Python and Tweepy, and explore bonus lectures and discounts.

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