FAQ

What is free proxy?

A proxy is a computer or network service that acts as an intermediary between a client and a server. When a client device connects to a proxy, all of the client's Internet traffic is routed through the proxy. The proxy acts as a gateway between the client and the Internet, and can be used to facilitate secure communication, hide the client's IP address, and bypass Internet filters and restrictions.

Free proxies are proxy servers that are available to users at no cost. These servers can be used to facilitate secure communication, hide a client's IP address, and bypass Internet filters and restrictions. However, it is important to be aware that free proxy servers may not be reliable or secure, and using a proxy does not provide complete anonymity. It is generally a good idea to use a proxy in conjunction with other security measures, such as a virtual private network (VPN), to increase your anonymity and protect your online privacy.

How to scrape data from Scopus Journal?

Scopus is a database of academic journals, articles, and conference proceedings. If you want to scrape data from Scopus, there are a few steps you can follow:

1. Identify the specific data you want to scrape from Scopus. This may include article titles, authors, abstracts, or other details about the articles.
2. Determine the specific articles or journals on Scopus that contain the data you want to scrape. You may need to use search filters or browse through multiple pages to find the relevant data.
3. Use a web scraping tool or software to extract the data from the Scopus website. There are many tools available that can automate the process of scraping data from websites, such as Import.io, ParseHub, or Web Scraper.
4. Set up the scraping tool to visit the specific pages on Scopus and extract the data you are interested in. You may need to use different scraping techniques or methods depending on the structure of the Scopus website and the data you want to scrape.
5. Save the scraped data in a format that is convenient for you to use or analyze. This could be a spreadsheet, database, or other format.

It is important to be aware that web scraping may be against the terms of service of some websites, including Scopus. It is a good idea to carefully review the terms of service of any website before attempting to scrape data from it.

What is a headless browser?

A headless browser is a web browser that runs without a graphical user interface (GUI). Instead of displaying a graphical interface to the user, a headless browser interacts with websites and web applications programmatically, typically through APIs or command line interfaces.

Headless browsers are typically used for web scraping, automated testing, and other applications where the user does not need to interact with a graphical interface. Because they don't have a GUI, headless browsers typically use less system resources and can run faster than traditional web browsers.

Some examples of headless browsers include PhantomJS, HtmlUnit, and Puppeteer. These tools allow developers to programmatically navigate websites, interact with elements on a page, and extract information or automate tasks.

What are the key differences between concurrency and parallelism?

Concurrency and parallelism are often used interchangeably, but they are two distinct concepts in computer science and software engineering.

Concurrency refers to the design of software systems that can handle multiple tasks simultaneously. A concurrent system is one in which multiple tasks are executed in overlapping time intervals. This is often achieved by interleaving the execution of the tasks, so that each task gets a turn to run. Concurrent programming is concerned with writing programs that can run multiple tasks simultaneously, without interleaving them, in order to achieve better performance, responsiveness, and scalability.

Parallelism, on the other hand, refers to the execution of multiple tasks simultaneously, using multiple processing units or cores. Parallelism is a form of concurrency, and it is a way to make programs run faster by breaking down a task into smaller subtasks and executing each one on a separate processing unit.

Parallelism is often used in high-performance computing, where large problems are broken down into smaller subtasks that can be executed in parallel to achieve faster results.

In summary, concurrency is a design and programming principle that enables multiple tasks to be executed in overlapping time intervals, while parallelism is a technique for executing multiple tasks simultaneously, using multiple processing units.

Choosing the right proxy for your business: private or shared?

The choice between private and shared proxies depends on the specific needs and goals of your business.

Private proxies provide a dedicated IP address assigned only to you, which offers greater security, reliability, and control. They are ideal for high-volume scraping or for tasks that require high levels of privacy and security.

Shared proxies, on the other hand, are more cost-effective and allow multiple users to share the same IP address. They are suitable for smaller projects or for tasks that require less privacy and security, such as testing or research.

When choosing between private and shared proxies, consider the nature of your scraping project, the security and privacy requirements, and your budget.