Web Scraping and Proxy Servers for Scalability

Web Scraping and Proxy Servers for Scalability

Web scraping is an automated technique for data extraction. That uses a conjoined tool that follows two purposes. One is a scraper that visits the website and downloads the desired HTML code. The other is a parser that organizes the information into a readable and understandable format. And can also filter the data based on the desired keywords, occurrences, values, and other filtering options. It also includes, Organizing important information into a data set. That will help make sensible decisions with the highest possible accuracy.

Depending on the market, the influence of web scraping can range from a useful niche tool. To an absolute necessity for the everyday functionality of your business. The internet and search engines carry more information about a specific market. Then the knowledge carried by our ancestors in multiple lifetimes. We as humans do not have the ability to process all the information stored and collected by incredibly efficient technology. We have the tools that make the browsing experience feel fast, efficient and empowering. And, the same technology solutions can be applied to better manage and simplify data, for accurate predictions and smart decisions.

Web Scraping and Proxy Servers

For markets where every decision is extremely data-sensitive. The company must have a massive and steady supply of relevant information. That keeps the business on its heels and ahead of the competitors. From stock and currency trading to online marketing and search engine optimization (SEO). Knowing every step your competitors make and understanding the subtle shifts in the market around. You make the difference between succeeding and hanging on.

For example, modern companies cannot depend on simple data extraction scripts. Companies choose a far more polished, multifunctional web scraping or SERP API to reach the desired results faster. Using multiple instances of these tools and their features at the same time. It is the best way to scale up your data collection tasks and reach the desired goals and stability faster.

In this article, we will go in-depth on web scraping and how to scale up your data extraction operation. First, you will learn about the simple use and scalability of scraping scripts. Before we discuss data scraping and SERP API. To learn more about these advanced solutions, check out Smartproxy — one of the best proxy server providers that offer extensive solutions like a SERP API to help you achieve your data scraping goals.

Humble beginnings

There is no better experience than automating data collection from the first website targeted with a web scraper. Still, not enough people get to enjoy this feeling because they believe in the lack of programming knowledge. This is stopping them from achieving this goal, but writing your first scraping script is surprisingly easy. With Python, you can find plenty of tutorials that already have an open-source prototype. And tweak it according to your desires or even change a preferred parsing library. As you know, Python is the best programming language for young learners.

Once you have a scraping script that is ready to extract information. After that, start by practicing on websites that do not oppose automated aggregation, like Wikipedia. This way, you will not attract suspicion from search engines and other pages with valuable information.

Complex scraping solutions

For immediate results, you can get an assembled no-code scraper. And, tackle targets of interest through a comfortable graphical user interface (GUI). Still, make sure not to get over eager or rate limiters. And, DDoS protection tools on competitor websites. Else, it will flag or blacklist your IP address for slowing down the server with a non-human influx of connection requests. There is a thin line between running your web scraper at high efficiency and pushing it over the limit, resulting in IP bans.

Proxy servers: a fool-proof solution?

Thankfully, we have proxy servers, especially the private residential proxies that web scrapers use to protect bots and their connections. With millions of available addresses from all over the world. You can assign a remote IP address for your data scraper and continue scraping without a worry in your head. If one instance gets caught, you can always replace the IP address with a new identity that will continue its work.

Web scraping and search engine APIs, like SERP API, usually have proxy servers built into one complex application. Which lets you access the entire pool of residential IPs and the tool itself — all in one package. This is the best but pricy solution for extracting information efficiently without sacrificing your safety.

Start scaling with proxy servers

One scraping bot by itself is already an incredibly efficient tool. But some markets need a constant flow of information from multiple sources to stay effective. Here we can use simple scraping scripts or dedicated data collection APIs. With the rented fleet of residential proxy addresses and protect each simultaneous device with a safe network identity. Once multiple instances extract data from different sources or even attack the same massive page all at once. Their activities will not be traced back to your IP address.

Still, working with multiple web scrapers requires more micromanagement. And you must keep a watchful eye if one of the addresses goes down. Thankfully, most proxy server providers have specialized scraping proxies. That uses a rotation option to keep swapping IP addresses for the desired instances. Before any of the connections start to raise suspicion. You can manipulate this setting and change the identity once a certain number of HTTP connections is reached, or perform a swap at pre-determined timestamps.


Web scraping is a simple but essential process of data extraction. That can be scaled to use multiple bots at the same time. However, each instance requires protection, which we get from residential scraping proxies and their option for IP rotation.