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Showing posts with the label Web Scraping

How Important the Big Data is for the Tourism Industry?

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  In today’s post-pandemic experience, big data assists travelers and travel agents in making superior decisions, minimizing the risks, as well as having unforgettable holidays. According to World Tourism Organization the UN, tourism holds 10% of the whole world’s GDP. This also shares similar statistics in the general job market, producing 1 out of each 11 jobs! With a surprising amount of information and data at their removal, tourism boards and travel agents as well as require proper tools to scrape actionable insights in case, they have meaningful effects on this industry. All the data-driven decisions would benefit travelers and local communities also. Different Types of Accessible Travel Data Online Travel Agencies around the world are using big data for improving their service offerings. Data like travelers' nationalities, duration of stay, places they got checked in, traveling intent, etc. could be used to improve services as well as customer relations. Similarly, visitors ...

How to Use Web Scraping with Selenium and BeautifulSoup for Dynamic Pages?

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  Web scraping could be well-defined as: “The creation of an agent for downloading, parsing, as well as organizing data from the web in an automated manner.” In other words: rather than a human end-user clicking away in the web browser as well as copy-paste interesting parts like a spreadsheet, web data scraping offloads the job to any computer program that can implement it much quicker, and more properly, than any human can. Web scraping is very important in the data science arena. Why is Python an appropriate Language to Get Used for Web Scraping? This has the most extravagant and helpful ecosystem when comes to doing web scraping. While several languages have the libraries to assist in using web scraping, Python’s libraries come with the most advanced features and tools. A few Python libraries used for web scraping include: BeautifulSoup LXML Requests Scrapy Selenium In this blog, we will use Selenium and BeautifulSoup to extract review pages from Trip Advisor. Why Use Selenium ...

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 framewo...

How Web Scraping is Used to Extract Data from OTAs?

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Customer satisfaction is the most important factor for any service-oriented business. And if you own a travel company, then you must ensure that your customers have the finest vacation experience. After all, satisfied customers will mean repeat business, and they are the most valuable asset for attracting new clients and increasing revenue. When it comes to vacation planning, flight ticket rates are one of the most important influencing elements, alongside lodgings and activity packages. As a result, network operators need to provide the greatest travel plans to their customers. As companies grow more data-driven, they examine what their competitors are just doing, as well as how airlines and online travel agencies set ticket pricing and use this information to make better decisions. Scraping flights and tickets data  from various platforms such as OTAs, airlines, and competitors is an effective method to enhance your decision. And this could be done using web scraping. Advantages ...