Python Django Tutorial: Extract Job Data from PDF and Other Websites to Populate Database

Published: 14 February 2021
on channel: Skolo Online
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#django #python #webapp
Complete Python Django Tutorial: Extract Job Data from PDF and Other Websites to Populate Database
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Django Project Website
https://www.djangoproject.com/
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Video Timestamps:
00:01:56 Discussing the focus of this video and what we are going to cover
00:04:30 Discussing the two different methods and techniques that we are going to cover
00:11:01 Revised Jobs model and the new Category and Company classes
00:23:53 Extracting information from the website and pdf document
00:27:14 Python PyPDF2 library parsing through a PDF document
00:28:25 Going through the code for downloading the PDF document from the internet using wget and command line inside of Python
00:35:18 Write the code to use PyPDF2 to open and read the PDF document we just downloaded
00:41:31 Web scrapping for the document links we need
00:55:50 Download all the available PDF documents at once
01:02:50 Parse the PDF document to extract the job data from the documents
01:31:47 Summarise the code for extracting Job data from the PDF document
01:34:44 Extracting and print out the job data from a single PDF document
01:52:45 Replace printing job data on the command line with saving it directly in to the Django database
01:58:21 VERY IMPORTANT Highlight some issues with the code we resolved, check this timestamp if you are experiencing errors with the model files
02:04:41 Testing the code for adding Job data from the PDF documents in to the database
02:15:17 Run through all the files at once extracting data
02:19:09 Website scrapping code for getting Job data
02:29:08 Test the code for web scrapping - print data on command line
02:33:50 Extract data from webpage and add it to database instead of printing on command line
02:42:02 Test the code we just built for web scrapping
02:46:02 Fix the issue of replicating job data, remove duplicates from lists
02:49:22 Add code to sort the job data in to different categories, before the data is added to the database
02:59:26 Go through HTML for the Job list page - for displaying Job data in our website
03:01:49 Add new job-list view function
03:05:33 Add the new URLS in the urls file
03:08:31 Add the view function for the job-detail HTML page
03:12:02 Create and add the job-detail html page
03:19:14 Testing our app, first look at the results of our data scrapping, sorting out teething problems
03:28:23 Have a look at our website with the job list page and job detailed page
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