Best Data Extraction Techniques

Extracting data from a website is far from being news, but there are different ways you can go about doing it. If you genuinely want to be successful in scraping data, you cannot relegate the role of proxies. 

Best Data Extraction Techniques

How does a proxy work?

A proxy will act as a gateway to connect to your destination site using its IP address. It protects you from the nefarious activities of hackers and those wanting to steal your data and use it against you. When you send a request, it goes through the proxy before reaching its final destination. It will mask your IP to keep you protected.

The types of proxies we will be looking at are datacenter and residential proxies.

What are Datacenter Proxies? 

Datacenter proxies are proxies that come from a secondary corporation with no connection with Internet Service Providers. You will have private IP authentication using them.

What are Residential Proxies?

Residential proxies are IP addresses that come from ISP to homeowners. The IP address has a physical location. Therefore, you’ll get a new IP whenever you move to a new place provided by your ISP.

The Importance of Data Extraction

Data extraction has a lot to it — it is not only about scraping data and using it for your advantage. You may also want to store the data for future purposes. With data extraction, you’re able to spend less time on tasks and speed up your business operations. All you need to do is automate the process. 

What is Data Extraction?

Data extraction is the process that takes care of the retrieval of data from different sources. Typically, it consists of a crawler identifying the predefined data points from numerous web sources and downloading the desired information. In most cases, a business will extract data to process it further and move it to a data repository — or analyze it as the case may be.  

Transforming data may also be part of the data extraction process. If you want to carry out calculations on the data, for example, aggregating sales data and also storing them in the data warehouse, you may also want to introduce metadata or make it better with timestamps. 

Data Extraction Techniques

Web scraping operations will always need a vast amount of proxies to scrape data successfully, together with your web scraping script. Your proxy will work to gather the required data from the web server, and your request will appear as coming from an organic user. In short, it will overcome anti-scraping measures put in place.

Usually, it is either you’re extracting data with the help of third party web scraper or building an in-house data extraction mechanism. Either way, it will depend on certain factors. 

Let’s take a look at the two techniques of data extraction to help you reach a conclusion on which is more beneficial for your business. 

Do-it-yourself Technique

If you decide to build a scraper using your in-house developer, they’ll set up web servers and other related infrastructure to run web scrapers, and they will not cause any interruption and integration of the data extracted into your business operations.

Going this route is a very complex project — maintaining a large number of web scrapers would be too complicated. A lot of planning, tools, budgeting, and skills will have to go into the process. Moreover, managing your developers is essential, as well.

A Third-party Web scraping Tool

Purchasing a third–party scraper tool seems like the obvious choice for anybody that wishes to save time. Also, you don’t have to think about maintenance costs as all you have to do is settle the monthly invoice.  


When it comes to running a business, you want to save costs. But sometimes, you might want to look at the benefits in the long run.

Having an in-house team may be pretty expensive to maintain. For flexibility and control in building customized features, an in-house scraper wins on all fronts. For the cost savings, you can easily see why it is beneficial to go for a third-party solution.

With that being said, you must evaluate your option correctly before jumping on any of the solutions. Ensure it makes financial sense of buying an external data gathering solution. 

Third-party services are beneficial in different ways, but if it does not make economic sense in your situation, then it is not worth implementing.

For CIO, CTO, or CDO, the cost is not an issue when it comes to implementing innovative solutions. The stakeholders would instead prefer to stick with proprietary technology. In a situation where there is an existing technology, there is no need to waste internal resources. 

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