Advanced Python Twitter Bot: Schedule Daily Posts from Django Web App Scrapping Data

Описание: #twitterbot #python #webapp
Advanced Python Twitter Bot: Schedule Daily Posts from Django Web App Scrapping Data
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Django Project Website
https://www.djangoproject.com/

Tweepy Documentation Website:
https://docs.tweepy.org/en/latest/ins...

Scheduling Python Library
https://pypi.org/project/schedule/
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Video Timestamps:
00:02:08 Steps we will be covering in this lecture
00:06:57 How to get your API keys from twitter
00:14:35 Virtual Machine (VPS) discussion, how to get a digital ocean droplet for your twitter bot
00:17:16 Set up python development environment, folders, etc
00:27:52 Create Hello World Twitte Bit code, minimal requirements to use the Tweepy Library with Twitte API
00:34:12 Tweepy documentation reference for the API object, listing all available methods
00:36:56 Testing our first API code, printing tweets from your timeline and other public timelines
00:39:51 Check your API access limits
00:42:08 How to save the data you get from twitter in a Json file
00:47:48 How to send a text-only tweet and image tweet
00:51:20 How to include an emoji inside a tweet
01:01:26 Add a tweet with an image
01:02:59 How to transfer an image (or any file) from your personal computer to the VPS (Droplet)
01:07:16 Code for sending a tweet with an image
01:12:50 Discussing the second part of this lecture - how to apply what we have learned to tweet our JOB data from Django app
01:15:20 Building the scrapper for job websites to get the data we need for the tweets
01:17:16 Explore the URL Shortening service we will be using, create an an account to get started
01:29:20 Install BeautifulSoup and Requests
01:36:45 Get data from our PDF documents to use in Job tweets
01:43:17 Use job data in JSON format to create a tweet string, data clean up
01:50:13 Python main file - code fo sending tweets with job data
01:51:54 Create function to grab popular hashtags from Twitter API, based on you region - or any region by inputing longitude/latitude
02:02:52 Discuss the final tweet function and how we add hashtags to our tweets, while ensuring the string length is less that 160 characters
02:13:16 Using the Python Schedule Library to schedule code to run at specific times, we will use this to schedule our tweets
02:23:12 Test out our functions
02:25:35 Run the code to send out job tweets for our project

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