How to use web scraping for price tracking

The rapid progression of information technologies has revolutionized every aspect of our lives. Web servers that connect people all around the globe serve as building blocks for a constantly evolving, parallel digital world. Constant interactions between individuals and smart devices changed humanity’s perception of work, communication, financial transactions, and entertainment. The speed and convenience provided by digital systems encourage further integration of technology into our lives.

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Free movement of information is the key to progress and innovation, and that is how the internet speeds up and improves our lives. Constantly available knowledge can make anyone smarter in a blink of an eye by providing solutions to problems via a search engine or any other source of information online. Nowadays, businesses seek opportunities for modernization to get the most benefits from information technologies.

web scraping

In this article, we will address web scraping – a process that uses automated bots to extract information from websites in HTML code. While anyone can access public data through a web browser, scrapers help us aggregate information from multiple targets with far greater efficiency or ensure continuous scraping from constantly updated websites, such as online shops. When paired with residential proxies, web scrapers can bombard targeted web servers with connection requests without risking main IP address exposure. A residential proxy does wonders when we need to collect information from sensitive retailers for price tracking while changes in geolocation can help you discover bargains for travel tickets, bookings, and other services affected by constant price adjustments. Check out blog articles about residential proxies to learn more about their applicability. Let’s take a deeper look at web scraping and how to use it for price tracking.

How web scraping works

A scraper is by no means a complicated piece of software – it accesses the HTML code through supplied URLs and aggregates the required information.

To the actual value from data extraction without excessive manual labor, the collected information goes through a parser that organizes it into a readable and understandable format. Even with partial automation, parsing is still the most resource-intensive part of data extraction: no parser fits every website, and even well-written parsers may stop functioning due to simple changes in a targeted web page. Without parsing, we only have the same HTML code that we already see on a browser.

The pursuit of efficiency and scalability

If we think about it, the human brain is already a multitasking data extraction tool. Why do we need to segment these steps and invest resources into scrapers and parsers?

The answers lie in our dependence on efficiency and scalability. An organized data extraction system has a far greater intake and organizes accumulated knowledge to make it ready for usage and analysis. To speed up the process, you can always use multiple scraping bots. However, to ensure uninterrupted scrapping, we recommend masking your connections with rotating residential proxies supplied by a business-oriented proxy provider.

Scraping for price intelligence

Most businesses today need online shops to reach out to a larger client base. E-commerce management needs web scraping to collect public data from other retailers and gather price intelligence. When businesses have scraping bots that provide constant updates on price changes in competitor online shops, they can undercut others on similar product pricing, and make sharper decisions to stay ahead of the curve.

Amazon is a perfect example of a tech giant abusing greater resources to gather price intelligence. Frequent clients may notice that prices of some products can change in a matter of 10-15 minutes. Ironically, Amazon extracts massive amounts of public information throughout the web but discourages and even bans other scrapers that seek data on their website. However, the knowledge presented on the page is by no means private, and you can still use web scrapers with residential proxies for legal information extraction.

Discover bargains with scraping

Amateur data analysts can use web scrapers to scan travel websites and aggregators and organize collected information to discover bargains. Once we add residential proxies into the mixture, location manipulation can display different prices for the same products and services. Travel tickets and booking deals can be more expensive for IP addresses coming from Western Europe and the US. Changing your geolocation with rotating proxies will give different samples of extracted data, which you can use to discover a deal with the best possible price.

Web scraping for sneaker resellers

Today, the sneaker market is quite different. Technically proficient sneakerheads use data extraction to discover bargains for desired footwear while proxy servers help them earn money by increasing the chances of acquiring sneakers during an online limited edition drop. Proxies can give a single trader multiple identities – when one individual appears as multiple customers, they can stack the odds in their favor and secure far more successful purchases. The internet is full of extremely valuable information. The individuals that do the best job at manipulating it to their advantage can easily dominate the digital business environment.

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