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Web scraping explained

Web scraping explained

Web scraping, known as web data extraction or data scraping, is an automated technique used to retrieve information from websites and export it in a structured format using web scraping software or web crawler. Web scraping finds application in various fields such as price monitoring (product and pricing information), ads verification, news monitoring, counterfeit detection, market research, and numerous other use cases where data from a website could be used.

What is web scraping?

Web scraping refers to the process of extracting data from web pages using automated web scraping tool or software. It involves fetching the HTML code of web pages, parsing it, and then extracting the desired information from it. Web scraper can retrieve text, images, links, tables, or any other structured data available on the website. Web scraping work enables users to gather large amounts of data from multiple websites quickly and efficiently using automated web scraping tools. The extracted data can be further analyzed, stored, or utilized for various purposes such as research, analysis, monitoring, or building applications.

First, identify the target website and understand its structure. Then, select a web scraping tool or library, such as Puppeteeror Selenium. Next, fetch the web page by sending an HTTP requests to the website's server. Once you have the HTML content, parse it using techniques like HTML parsing to locate the desired data elements. After extracting the data, it may need to be cleaned and processed by removing unnecessary tags and formatting it for analysis or storage. Finally, relevant data is ready to store in a database or file, or be directly used in applications or systems.

Can you scrape information from any website?

Web scraping can be done on most websites, but it's important to consider a few things. Check the website's terms of service and robots.txt file to ensure it allows scraping. Some websites have restrictions or explicitly forbid scraping. Websites with user authentication or CAPTCHA may need extra steps to access the data needed. Scraping websites with dynamic content (loaded by JavaScript) can be challenging, but tools like Selenium help. Keep in mind that not all websites provide easy-to-scrape data due to complex structures or obfuscation. It's important to respect website owners by scraping ethically and avoiding excessive requests. Websites that don't allow scraping can vary, but common examples include those with explicit terms of service, subscription-based or premium content websites, government websites with legal restrictions, and websites with CAPTCHA or anti-scraping measures.

Is web scraping legal?

The legality of web scraping can vary depending on factors like jurisdiction, website terms of service, and the nature of the data being scraped. Generally, web scraping is legal if permission is granted by the page, if the web scraped data is publicly available, or if fair use and copyright principles are followed.
However, web scraping can be illegal if it involves unauthorized access, violates terms of service, or infringes upon privacy laws. It's crucial to understand and comply with the laws and regulations and the specific terms of service of the website to extract data.

How proxies help in web scraping?

Proxies are essential for web scraping - they provide anonymity by masking your IP address, ensuring the target website cannot detect or block your scraping activities. Proxies also facilitate IP rotation, allowing requests to various data points be sent from different IP addresses at regular intervals to multiple web pages. This helps prevent rate limits, restrictions, or bans imposed by websites. By bypassing restrictions, such as IP blocking or geolocation limitations, proxies enable you to access websites that would otherwise be inaccessible.
Proxies offer scalability by distributing scraping requests across multiple IP addresses, speeding up the process. Residential proxies allow geolocation-based scraping, providing the ability to access location-specific data or browse websites as if you were in a specific geographic location. It is important to choose reputable proxy providers to get the best results for your scraping needs. Let GoProxies help you with web scrapers by providing best residential proxies services based on your business needs.

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Matas has strong background knowledge of information technology and services, computer and network security. Matas areas of expertise include cybersecurity and related fields, growth, digital, performance, and content marketing, as well as hands-on experience in both the B2B and B2C markets.


What Are Rotating Residential Proxies?
Rotating Residential Proxies offer you the best solution for scaling your scraping without getting blocked.

Rotating proxies provide a different IP each time you make a request. With this automated rotation of IPs, you get unlimited scraping without any detection. It provides an extra layer of anonymity and security for higher-demand web scraping needs.

IP addresses change automatically, so after the initial set up you’re ready to scrape as long and much as you need. IPs may shift after a few hours, a few minutes or after each session depending on your configuration. We do this by pulling legitimate residential IPs from our pool.
Why Do You Need Rotating Residential Proxies?
There are a number of use cases for rotating residential proxies. One of the most common ones is bypassing access limitations.

Some websites have specific measures in place to block IP access after a certain number of requests over an extended period of time.

This limits your activity and hinders scalability. With rotating residential IP addresses, it's almost impossible for websites to detect that you are the same user, so you can continue scraping with ease.
When to Use Static Residential Proxies Instead?
There are particular cases where static residential proxies may be more useful for your needs, such as accessing services that require logins.

Rotating IPs might lead to sites not functioning well if they are more optimised for regular use from a single IP.

Learn if our static residential proxies are a better fit for your needs.
Can I choose the IP location by city?
Yes. GoProxies has IPs spread across almost every country and city worldwide.
Can I choose the IP location by country state?
Yes. GoProxies has IPs spread across X countries with localised IPs in every state.

Is web scraping easy?

Web scraping can be easy for simple tasks but becomes more challenging for complex websites. It requires programming skills, understanding of HTML, CSS, and often dealing with anti-scraping measures. So, it can range from easy to quite tricky, depending on the project's complexity and the toolset that the proxy service you are using is providing.

What is an example of web scraping?

A common example of web scraping is extracting product prices and details from e-commerce websites like Amazon to compare prices or track changes.

Does web scraping need coding?

Yes, web scraping typically requires coding to write scripts or programs that automate the process of extracting data from websites. If a proxy service provider offers pre-built scraping tools or solutions, it can simplify the process and reduce the coding required. However, some level of configuration or customization may still be necessary to adapt the tools to your specific scraping needs.

What’s a Rich Text element?

The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.

Static and dynamic content editing

A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!

How to customize formatting for each rich text

Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.

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