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Web Scraping - Simple Words About a Complex Technology
Ilona Opanasenko
BA and QA Lead
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QA/Testing
January 13, 2026
3 min
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Web Scraping - Simple Words About a Complex Technology

The sheer volume of online data is overwhelming, leaving businesses struggling with scattered, inconsistent, and siloed information. At CIDT, we see this data chaos as an opportunity. We don't just collect data; we engineer precision intelligence. Web scraping is the powerful technology that makes this transformation possible.

What is Web Scraping?

In simple terms, web scraping is the automated, programmatic process of collecting publicly available data from websites. Often referred to in the industry as data extraction or web harvesting, this technology allows a software tool - a "scraper" - to read and interpret a webpage's underlying code, similar to how developers utilize powerful frameworks like Scrapy. Instead of manually copying information from dozens (or hundreds) of pages, our tools automatically extract data and save it in a structured format like Excel, JSON, or in a database.

How Does Web Scraping Work?

At its core, a scraper sends requests to web pages, reads the HTML structure, and identifies the pieces of information that matter: like product names, prices, reviews, or specifications.

Therefore, professional scraping goes far beyond simple HTML parsing:

  • User Emulation: Our systems utilize tools (based on libraries like Scrapy or Selenium/Puppeteer) that emulate the behavior of a real web browser. This allows them to correctly process dynamic content, forms, and loading delays that are invisible to basic scrapers.
  • Bypassing Defenses: We implement intelligent mechanisms like IP rotation, User-Agent customization, and Rate Limiting to ensure the scraper is not blocked and doesn't overload the target server.
  • Cleaning and Structuring: The raw data extracted from the HTML is meticulously cleaned, validated for quality, and transformed into a unified, ready-to-use format.

How Businesses Use Web Scraping?

For companies, scraping is about turning raw web information into business intelligence.

Here are a few real-world examples:

  • Market analysis: compare competitors’ prices and product availability in real time.
  • Content aggregation: collect information from multiple industry sources and publish it in one place.
  • Lead generation: gather contact data from public directories.
  • E-commerce monitoring: track trends and reviews to understand customer sentiment.

One of our recent projects, is a great example of how CIDT transforms raw web information into reliable, structured data solutions.

It gathers data from multiple construction material websites across the U.S., structures it, tests it, and turns it into one unified catalog - a tool that helps navigate the market faster and smarter.

Is Web Scraping Legal?

This is the most common and critical question. The short answer: yes, collecting publicly available data is generally legal in the U.S. and most jurisdictions, provided specific rules are followed.

Collecting publicly available information is generally legal, as long as you respect website terms of service and avoid personal or protected data.

Our approach is always transparent and compliant, we scrape responsibly.

Which Web Scraping Software Is the Most Reliable?

There are many ready-to-use tools, but reliability depends on your goal.

Simple data collection can be done with open-source libraries; however, large-scale, stable solutions often require custom-built systems.

That’s where our expertise comes in: we design tailored scrapers that are scalable, tested, and secure: ready for real business use.

Web scraping isn’t just about raw data collection - it’s about engineering actionable intelligence. At CIDT, our value is in treating scraping not as a commodity, but as a custom-built solution, ensuring compliance, stability, and scale. Ready to turn web chaos into a competitive advantage? Speak with a CIDT data strategy expert to explore how a tailored scraping solution can fundamentally improve your market analysis and decision-making.

Frequently asked Questions

1.
Is web scraping legal in the EU?
Collecting publicly available data is generally permissible in the EU, but it must strictly comply with the GDPR (General Data Protection Regulation). This is especially critical when dealing with personal data (like names or emails), as a legal basis (such as explicit consent or a documented legitimate interest) is often required. Furthermore, you must always respect a website’s Terms of Service.
2.
Is web scraping legal in the EU (in light of GDPR)?
Collecting publicly available data in the EU is generally permitted, but it must strictly adhere to the requirements of the GDPR (General Data Protection Regulation). This is especially crucial when collecting personal data (e.g., names, email addresses, or IP addresses), as processing them requires a lawful basis (consent or documented legitimate interest). In any case, you must always respect the Terms of Service (ToS) of the target website.
3.
How does CIDT guarantee the quality and accuracy of the extracted data?
We utilize a multi-stage validation process. After extraction, data undergoes thorough cleaning, format conformity checks (e.g., prices must always be numbers), and, if necessary, cross-validation. As a result, you receive a cleaned, structured, and ready-to-use data set.
4.
What happens if the target website updates or blocks the scraper?
Simple scrapers often break down with minimal changes to a site's structure. At CIDT, we offer continuous monitoring and maintenance services. Our systems automatically detect structural changes and employ comprehensive blocking bypass methods (e.g., IP rotation and browser behavior emulation), guaranteeing the continuity of the data stream.
5.
Are there limits on the volume of data that can be extracted?
For our team, specializing in creating scalable systems, there are no practical limitations. Unlike simple tools that may be volume-restricted, we design and deploy architectures capable of processing and storing terabytes of data, ensuring stable operation regardless of project size.

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