BLOG

The Arduous Life of a Web Crawler – Challenges in Web Crawling

Apr 26, 2018

Ever wondered how Google can display a million search results in less than a second? Its because Google has indexed all the pages in their library so that it can return relevant results based on the user’s search query. However, the web is dynamic, and thousands of content are uploaded each day. So they would have to continually refresh their indexes and go through all the millions of pages to find a relevant result. On the outlook, it seems like an impossible task, but thanks to web crawlers it is possible. The web crawler functions as an automated script, which browses the internet systematically. They look at the keyword in the page, the external and internal links, and kind of content before returning information to the search engine. It’s fascinating how these web crawlers do all the work in the background and make it look so simple. However, it is not as easy as it looks, as there are multiple challenges faced by programmers in web crawling.

Non-Uniform Structures

The web is a dynamic space that doesn’t have a set standard for data formats and structures. Collecting data in a format that can be understood by machines can be a challenge due to the lack of uniformity. For instance, a webpage can be created using HTML, CSS, Java, PHP, or XML. The process of data extraction becomes challenging when web crawlers need structured data on a massive scale. The problem gets amplified when the web crawlers have to extract data from thousands of web sources pertaining to a specific schema.

Maintain Database Freshness

Majority of the web publisher like bloggers and news agencies update their content on a daily or hourly basis. The crawler has to download all these pages to provide updated information to the user. The problem arises when the crawler starts downloading all such pages as it puts unnecessary pressure on internet traffic. Programmers can develop a strategy, where web crawling is done only on pages which update their content frequently.

Request a free proposal to know more about challenges for web crawlers, web crawling, and web scraping.

Bandwidth and Impact on Web Servers

One of the biggest challenges or limitations faced by web crawlers is the high consumption rate of network bandwidth. This can particularly happen when the web crawler downloads many irrelevant web pages. To maintain the freshness of the database, crawlers adopt a polling method or use multiple crawlers, which consumes a lot of bandwidth. If a web crawler is frequently visiting websites, then the performance of the web servers will be severely impacted.

Absence of Context

Web crawling uses numerous strategies to download the content that is relevant to the user’s query. The crawler focuses on a particular topic; however, in some cases, the crawler may not be able to find relevant content. As a result, the crawler starts downloading a large number of irrelevant pages. As a result, programmers need to find out crawling techniques that focus on content that closely resembles the search query.

The Rise of Anti-Scraping Tools

Today, web developers have tools such as ScrapeSheild and ScrapeSentry that can differentiate bots from humans. Using such tools, web developers can manipulate content shown to bots and humans, and also restrict bots from scraping the website. Although practiced on a small scale, if crawlers continue to disregard the robots.txt file and keep hitting the target server, it can cause DDoS to the websites.

Ready to Harness Game-Changing Insights?

Request a free solution pilot to know how we can help you derive intelligent, actionable insights from complex, unstructured data with minimum effort to drive competitive readiness, market excellence, and success.

Recent Blogs

Emerging Applications of Artificial Intelligence in Medicine

Emerging Applications of Artificial Intelligence in Medicine

The main aim of artificial intelligence in medicine is to mimic human cognitive actions which is directly or indirectly bringing pioneer changes in the field of healthcare. Artificial intelligence in healthcare simplifies the processes of healthcare organizations as...

read more
HR Technology Trends Redefining the Modern-Day Workforce

HR Technology Trends Redefining the Modern-Day Workforce

In 2020, we witnessed rapid changes in workplace structures and business processes amid the pandemic outbreak. Advanced HR analytics solutions proved their potential amid the uncertainties by playing a crucial role in helping businesses understand and engage with a...

read more

Industries

Our advanced analytics expertise spans across industries, sectors, and functions, which enables us to deliver robust, agile solutions to all our clients. These are our core competencies, formed through years of experience.

Insights

Our free resources shed light on our extensive expertise and equip you with information to accelerate decision-making, growth, and innovation.