What is Screen Scraping and How Does it Work?

What is screen scraping

Mozilla/5.0 (Windows NT 10.0; Win64; x64) Chrome/ Safari/537.36Screen scraping is an essential tool for any data-driven business looking to leverage information from across the web. Whether companies are gathering market research, monitoring competitor prices, or collecting leads, understanding the nuances of screen scraping can be a great option.

What is screen scraping used for?

Screen scraping is a method used to extract data from the display output of one program, so that it can be used by another. Unlike web scraping, which pulls data from the underlying HTML code of websites, or API scraping which typically requires APO access, screen scraping reads the visual interface just like a human would. This makes it particularly useful when dealing with applications that do not provide API access.

Screen scraping can be particularly beneficial for automating repetitive tasks, integrating old software systems that do not offer any other means of data export, or pulling data from third-party applications that restrict API usage.

For example, Datamam recently utilized screen scraping to help a retail client automatically track competitor pricing. This enabled the client to adjust their pricing strategies dynamically, leading to an increase in sales margins due to better market positioning.

A screen scraping approach is not only about accessing blocked or non-exportable data, but also about enhancing business efficiency by automating data collection where traditional methods fail. For those interested in learning more about how these methods can be practically applied using Python, consider exploring Datamam’s comprehensive guide on Python web scraping here.

“Screen scraping is a mission-critical tool in any business that requires interfacing to legacy systems. Automating data extraction allows enterprises to avoid many of these errors in manual data entry, thereby optimizing overall operational efficiency,” says Sandro Shubladze.

“A simple screen-scraping tool enabled ours a retail client to dynamically monitor competitor pricing, adjust its pricing strategies on-the-fly, and improve market positioning—all without manual intervention.”

Is screen scraping legal?

The legality of screen scraping is nuanced, and varies significantly by country and use case. Sometimes the legality of screen scraping might not be clear-cut, because it sometimes involves accessing data in a way that was not intended by the original software or website creators.

Screen scraping can be used for both legitimate and malicious purposes. For example, it can be employed to collect personal data without consent, or to bypass paywalls and access premium content illegally. Such activities fall into illegal territory and can lead to severe penalties under data protection laws like GDPR in Europe or the CCPA in California.

To ensure that your screen scraping activities are legal, you should respect the terms of service of the website, paying close attention to any clauses that specifically prohibit scraping, avoid scraping personal data without consent, which can violate privacy laws, and ensure that your scraping activities do not overload or disrupt the services of the data source.

While screen scraping can be a powerful tool for data collection when used responsibly, it is essential to navigate the associated legal and ethical challenges carefully. By understanding the legal context and implementing security measures, businesses can use the benefits of screen scraping without falling foul of the law or compromising their ethical standards.

To learn more about the basics and applications of web scraping, visit Datamam’s page with more information about web scraping.

“Understanding the landscape of legality around screen scraping is as important as rolling out the technology itself,” says Sandro Shubladze. “This must be done in a way that respects copyright and privacy rules, in order to steer clear of legal battles.”

Screen scraping is a process used to extract data from a graphical user interface (GUI) rather than directly from the underlying code. This technique can be particularly useful when dealing with applications that do not provide an API for data access. Below is a detailed step-by-step guide to screen scraping, illustrating different methods and tools such as Selenium, PhantomJS, and shell scripts.

1. Set-up and planning

The first step in any screen scraping project is to clearly define what data needs to be extracted and from which application. This could be data displayed on a website, within a desktop application, or even from a legacy system.

Depending on the application and your requirements, you might choose different tools for scraping. Some of the more popular tools you may use are:

  • Selenium: Ideal for complex web applications that require interaction. Selenium can mimic human browsing behavior by interacting with page elements, clicking buttons, and entering data into forms.
  • PhantomJS: Used for headless web browsing. It allows you to run scripts on web pages, making it suitable for automated testing and scraping of web applications.
  • Shell Scripts: Useful for simple scraping tasks on desktop applications or when you need to automate repetitive tasks without extensive coding.

Install the necessary software and drivers, such as the Selenium WebDriver if you are using Selenium. For PhantomJS, ensure that you have a compatible JavaScript environment set up.

2. Script development

Develop a script that navigates the application and extracts the desired data. In Selenium, this would involve commands to load the web page, find HTML elements by their IDs or classes, and extract their contents.

For example, a Selenium script to login and retrieve data might look like this:

from selenium import webdriver

from selenium.webdriver.common.by import By

driver = webdriver.Chrome()


driver.find_element(By.ID, "username").send_keys("your_username")

driver.find_element(By.ID, "password").send_keys("your_password")

driver.find_element(By.ID, "submit").click()

data = driver.find_element(By.ID, "data").text

3. Run the script to scrape the required data

Run the script to perform the data extraction. This might involve scheduling the script to run at specific times (for continuous data collection) or running it manually when needed.

import time

import requests

from bs4 import BeautifulSoup

def scrape_data():

    headers = {

        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) Chrome/ Safari/537.36'


    url = 'https://datamam.com/'

    response = requests.get(url, headers=headers)

    soup = BeautifulSoup(response.text, 'lxml')

    headers = soup.find_all('h2')

    for header in headers:



while True:



4. Analyze or store the extracted data

Once the data is collected, store it in a database or a spreadsheet for further analysis. Ensure that the storage method you choose can handle the volume and type of data you are collecting.

It’s crucial to handle the scraped data with care to maintain its integrity and secure it properly. Implement data validation checks and use encryption as needed to protect sensitive information.

By following these steps and utilizing the appropriate tools, you can effectively perform screen scraping to gather valuable data from various software applications. Whether for business intelligence, research, or operational efficiency, screen scraping is a versatile technique that plays a crucial role in data-driven decision-making.

Says Sandro Shubladze, “Whereas web scraping is going to HTML or XML code, screen scraping interacts with the user interface that appears on the screen. This makes screen scraping an especially valuable approach to the interaction of legacy, non-web-based systems that other forms of scraping, by and large, are unable to address.”

How can you stop screen scrapers from scraping your site?

Screen scraping can be a concern for organizations as it may lead to issues such as potentially exposing sensitive information. Protecting your digital assets from malicious scraping activities can be crucial for maintaining an organization’s site’s integrity and operational efficiency.

There are several reasons why an organization might want to block screen scrapers. For example, protecting Intellectual Property and preventing competitors from copying content or data that gives you a market advantage. Organizations will also want to preserve server resources, and prevent data theft. Malicious screen scrapers can significantly increase server load, potentially degrading service for legitimate users. They can also steal sensitive information that could be misused.

Implementing effective anti-scraping measures can help safeguard your site from unwanted data harvesting. Some of the ways to do this are as follows:

  • CAPTCHAs: One of the most common methods to deter automated bots, CAPTCHAs require users to perform tasks that are easy for humans but difficult for machines.
  • Rate Limiting: Restricting the number of requests a user can make to your server in a given time frame helps prevent excessive scraping without hindering normal user activity.
  • IP Blocking: Identifying and blocking IPs that exhibit suspicious behavior is a straightforward way to stop known scrapers.
  • User-Agent Blocking: Many scrapers use distinctive user agents; identifying and blocking these can reduce scraping activities.
  • Dynamic Content: Changing the structure of your site’s data regularly can confuse unfriendly scrapers and make the scraping process more difficult and less reliable.

While these techniques can significantly reduce malicious scraping, it’s important to recognize that determined and more sophisticated scrapers can find ways around these barriers. Advanced bots can mimic human behavior, cycle through different IPs, and even solve CAPTCHAs.

Combining multiple anti-scraping measures and continuously monitoring for new scraping patterns are essential steps in protecting your site effectively. By staying vigilant and adapting quickly, you can better defend your site against the evolving tactics of malicious screen scrapers.

“While single techniques, like CAPTCHAs or IP blocking, can be deterrents to basic unfriendly scraping attempts, using more than one in combination and out-stepping the new scraping tactics through adaptation might be the best way to totally protect your digital assets from bad bots,” says Sandro Shubladze.

Comparing data extraction methods

Screen scraping can be a valuable tool for data extraction, but it’s important to understand when it’s appropriate to use this method compared to other alternatives such as API access, database access, or web scraping. Each method has its own set of advantages and is suited for different scenarios.

For a comprehensive understanding of the web scraping process, you can refer to Datamam’s detailed guide on how web scraping is done.

API Access: API (Application Programming Interface) access involves using a set of predefined methods that allow one software application to interact with another. It provides a direct route to access the system’s data or functionality.

  • Ideal Use: When high-quality, reliable data is needed and an API is available, this should be the preferred method.
  • Pros: Provides structured data, can be more reliable and faster; less likely to break with changes to the website.
  • Cons: Not all sites provide an API and accessing data via API may involve costs or usage limits.

Database Access: Database access entails connecting directly to a database to retrieve or manipulate stored data. This method bypasses the front-end of applications, interacting straight with the back-end data storage.

  • Ideal Use: Best used when you have permission to access a database and need comprehensive data that might not be accessible through front-end interfaces.
  • Pros: Direct access to the data, which can be faster and more comprehensive.
  • Cons: Requires permissions that might not be available; potential security risks if not handled properly.

Middleware Integration: Middleware integration involves using software to bridge the gap between different programs and databases within an organization, facilitating seamless communication and data management across disparate systems.

  • Ideal Use: Useful in enterprise environments where data needs to be integrated from various sources.
  • Pros: Allows for integration of different systems and databases without direct access to the database.
  • Cons: Can be complex to set up and may require maintenance.

Screen Scraping: Screen scraping involves capturing the pixel data displayed on the screen of a device and translating it into a format that can be used for further processing or analysis. It’s often used when no direct API or database access is available.

  • Ideal Use: Screen scraping should be considered when other, more robust methods are unavailable or inadequate. It is particularly useful for legacy systems where modern APIs or direct database access is not an option. It can also be a good stop-gap solution while waiting for more formal data access methods to be implemented.
  • Pros: Useful for extracting data from sites that do not offer an API, can be the only option available if direct data access methods are not provided, and good for pulling data from visual interfaces where other data access methods fail.
  • Cons: Prone to breaking if there are any changes to the website layout, potential for legal and ethical issues, less cost-effective than alternatives.

“APIs and direct database access typically provide more stable and reliable data streams compared to screen scraping, which should ideally be reserved for cases where these technologies are not feasible,” says Sandro Shubladze.

“Screen scraping is particularly useful for extracting data from outdated systems or from interfaces that no longer receive technological updates. It acts as a bridge to more modern data management systems.”

At Datamam, we understand the challenges and nuances of using different data extraction methods. Our bespoke screen scraping solutions are designed to ensure that businesses can gather the data they need without compromising on legality or data integrity.

Whether integrating with existing systems or setting up new processes, Datamam can help determine the best approach based on your specific needs and the data environment.

For more details on how we can assist with your data extraction needs, contact us today.

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<a href="https://datamam.com/author/sandroshubladzedatamam-com/" target="_self">Sandro Shubladze</a>

Sandro Shubladze

Building a World Inspired By Data

My professional focus is on leveraging data to enhance business operations and community services. I see data as more than numbers; it's a tool that, when used wisely, can lead to significant improvements in various sectors. My aim is to take complex data concepts and turn them into practical, understandable, and actionable insights. At Datamam, we're committed to demystifying data, showcasing its value in straightforward, non-technical terms. It's all about unlocking the potential of data to make decisions and drive progress.