![]() Send a request to the HackerNews RSS feed, get the items listed, then return the XML data.txt file return save_function(article_list) except Exception as e: print('The scraping job failed. We’ll now add some quick HTML to begin styling: # base.html # append my "article_list" with each "article" object article_list.append(article) print('Finished scraping the articles') # after the loop, dump my saved objects into a. To register our template files, we’ll add our templates directory to the Django settings: # settings.py TEMPLATES =, # new. Next, we’ll create our template directory, base HTML template, and homepage template: $ mkdir templates & touch templates/base.html & touch templates/home.html class HomePageView(generic.ListView): template_name = 'home.html' Now we’re able to make our view: # django_web_scraping_example/views.py from django.shortcuts import render from django.views import generic # Create your views here. The above is a generic view being imported from the views.py file we’re going to create in the main project directory $ touch views.py views import HomePageView # new urlpatterns = # urls.py from ntrib import admin from django.urls import path, include from. We’ll now create a URL in urls.py that we’ll pass our future view to. ![]() Note: All library dependencies are listed in the Pipfile/ Pipfile.lock.ĭjango project running at localhost:8000. lxml - If you’re using a virtual environment.A text editor (I use Visual Studio Code).Instead, it will be geared toward a “Hello World” approach, followed by displaying scraped content on our web app. This article will not serve as a top-to-bottom Django guide. The goal of this project is to create something scalable, similar to an aggregator. This will give us access to a database, the ability to display our data on a website, and act as a step toward creating a “scraping” app. Our next step is to bundle the scheduled scraping tasks into a web application using Django. ![]() Using Celery, I was able to schedule scraping tasks to occur at various intervals - this allowed me to run the script without having to be present. After creating the basic scraping script, I illustrated a way to integrate Celery into the application to act as a task management system. Previously, I created a simple RSS feed reader that scrapes information from HackerNews using Requests and BeautifulSoup (it’s available on my GitHub). Photo by Christopher Gower on Unsplash Background: ![]()
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