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Showing posts with the label Web Scraper

How to Make a Web Scraper with AWS Lambda and the Serverless Framework?

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  Before initiating with development, it is necessary to learn the below things: Node.js and modern JavaScript NPM The Document Object Model Basic Linux command line Basic donkey care The AWS idea is that Amazon provisioned and maintained all aspects of your application, from storage to processing power, in a cloud environment (i.e., on Amazon's computers), allowing you to design cloud hosting apps that grow automatically. You won't have to deal with setting up or managing servers because Amazon will take care of it. A Lambda function is a cloud-based function that may execute when it's needed and is triggered by signals or API requests. The use of a  serverless framework  is recommended to develop the Lambda function. Why Use Scraper? For instance, if you want to fetch the recipes which are posted on a particular website. Scraping this information from the website is possible. Step 1: Serverless Setup Read the  quick start guide  for the serverless framework. Serverless wi

How Can We Use Python and Beautiful Soup to Scrape Groupon Data?

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  Today, we'll look at a simple and effective way to scrape Groupon deal data using Python and BeautifulSoup. The main objective of this post is to get you started on real-world solving problems while making them as easy as possible so that you can become familiar with them and receive real applications as quickly as feasible. So, the only thing we need to assure is to install Python 3. If not installed, then you can initially install Python 3 and then proceed. Afterward, you can install BeautifulSoup with: Install BeautifulSoup pip3 install beautifulsoup4 To fetch data, split it down to XML, and apply CSS selectors, we'll also require the libraries’ requirements, soupsieve, and LXML. Install them by following these steps: pip3 install requests soupsieve lxml After installation, you need to open an editor and type: # -*- coding: utf-8 -*- from bs4 import BeautifulSoup import requests Now, let us visit the Groupon page and check the information we get. This is how it will look.