Making a Web Scraping Application with Python, Celery and Django

We’ll be expanding on our scheduled web scraper by integrating it into a Django web app.

Part 1, Building an RSS feed scraper with Python, illustrated how we can use Requests and Beautiful Soup.

In part 2 of this series, Automated web scraping with Python and Celery, I demonstrated how to schedule web scraping tasks with Celery, a task queue.

Background:

Previously, I created a simple RSS feed reader that scrapes information from HackerNews using Requests and BeautifulSoup (it’s available on my GitHub). After creating the basic scraping script, I illustrated a way to integrate Celery into the application to act as a task management system. 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.

Our next step is to bundle the scheduled scraping tasks into a web application using Django. 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. The goal of this project is to create something scalable, similar to an aggregator.

This article **will not **serve as a top-to-bottom Django guide. Instead, it will be geared toward a “Hello World” approach, followed by displaying scraped content on our web app.

I will be using the following:

• Python 3.7+
• Requests — For web requests
• BeautifulSoup 4 — HTML parsing tool
• A text editor (I use Visual Studio Code
• Celery — Distributed task queue
• RabbitMQ — Message broker
• lxml — If you’re using a virtual environment
• Django — A Python web framework
• Pipenv — A virtual environment package

**Note: **All library dependencies are listed in the Pipfile/Pipfile.lock.

#web-scraping #python #django #web-development #data

What is GEEK

Buddha Community

top 30 Python Tips and Tricks for Beginners

Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.

1) swap two numbers.

2) Reversing a string in Python.

3) Create a single string from all the elements in list.

4) Chaining Of Comparison Operators.

5) Print The File Path Of Imported Modules.

6) Return Multiple Values From Functions.

7) Find The Most Frequent Value In A List.

8) Check The Memory Usage Of An Object.

…

#python #python hacks tricks #python learning tips #python programming tricks #python tips #python tips and tricks #python tips and tricks advanced #python tips and tricks for beginners #python tips tricks and techniques #python tutorial #tips and tricks in python #tips to learn python #top 30 python tips and tricks for beginners

Making a Web Scraping Application with Python, Celery and Django

We’ll be expanding on our scheduled web scraper by integrating it into a Django web app.

Part 1, Building an RSS feed scraper with Python, illustrated how we can use Requests and Beautiful Soup.

In part 2 of this series, Automated web scraping with Python and Celery, I demonstrated how to schedule web scraping tasks with Celery, a task queue.

Background:

Previously, I created a simple RSS feed reader that scrapes information from HackerNews using Requests and BeautifulSoup (it’s available on my GitHub). After creating the basic scraping script, I illustrated a way to integrate Celery into the application to act as a task management system. 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.

Our next step is to bundle the scheduled scraping tasks into a web application using Django. 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. The goal of this project is to create something scalable, similar to an aggregator.

This article **will not **serve as a top-to-bottom Django guide. Instead, it will be geared toward a “Hello World” approach, followed by displaying scraped content on our web app.

I will be using the following:

• Python 3.7+
• Requests — For web requests
• BeautifulSoup 4 — HTML parsing tool
• A text editor (I use Visual Studio Code
• Celery — Distributed task queue
• RabbitMQ — Message broker
• lxml — If you’re using a virtual environment
• Django — A Python web framework
• Pipenv — A virtual environment package

**Note: **All library dependencies are listed in the Pipfile/Pipfile.lock.

#web-scraping #python #django #web-development #data

How POST Requests with Python Make Web Scraping Easier

When scraping a website with Python, it’s common to use the

urllibor theRequestslibraries to sendGETrequests to the server in order to receive its information.

However, you’ll eventually need to send some information to the website yourself before receiving the data you want, maybe because it’s necessary to perform a log-in or to interact somehow with the page.

To execute such interactions, Selenium is a frequently used tool. However, it also comes with some downsides as it’s a bit slow and can also be quite unstable sometimes. The alternative is to send a

POSTrequest containing the information the website needs using the request library.

In fact, when compared to Requests, Selenium becomes a very slow approach since it does the entire work of actually opening your browser to navigate through the websites you’ll collect data from. Of course, depending on the problem, you’ll eventually need to use it, but for some other situations, a

POSTrequest may be your best option, which makes it an important tool for your web scraping toolbox.

In this article, we’ll see a brief introduction to the

POSTmethod and how it can be implemented to improve your web scraping routines.

#python #web-scraping #requests #web-scraping-with-python #data-science #data-collection #python-tutorials #data-scraping

Beautiful Soup Tutorial - Web Scraping in Python

The Beautiful Soup module is used for web scraping in Python. Learn how to use the Beautiful Soup and Requests modules in this tutorial. After watching, you will be able to start scraping the web on your own.
📺 The video in this post was made by freeCodeCamp.org
The origin of the article: https://www.youtube.com/watch?v=87Gx3U0BDlo&list=PLWKjhJtqVAbnqBxcdjVGgT3uVR10bzTEB&index=12
🔥 If you’re a beginner. I believe the article below will be useful to you ☞ What You Should Know Before Investing in Cryptocurrency - For Beginner
⭐ ⭐ ⭐The project is of interest to the community. Join to Get free ‘GEEK coin’ (GEEKCASH coin)!
☞ **-----CLICK HERE-----**⭐ ⭐ ⭐
Thanks for visiting and watching! Please don’t forget to leave a like, comment and share!

#web scraping #python #beautiful soup #beautiful soup tutorial #web scraping in python #beautiful soup tutorial - web scraping in python

Lambda, Map, Filter functions in python

Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.

Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is

Syntax: x = lambda arguments : expression

Now i will show you some python lambda function examples:

#python #anonymous function python #filter function in python #lambda #lambda python 3 #map python #python filter #python filter lambda #python lambda #python lambda examples #python map