Ever
wondered how a search engine comes up with the exact results when you type
something in its query box? After all, there are trillions of results matching
your search query. A fascinating process is at work behind it, something you
would be very interested to learn about.

Also, understanding how the search and index factors work would help you relate to your customers in a better way.

What is Web Crawling?

A web crawler is a program that acts as an automated script which browses through the internet in a systematic way. The web crawler looks at the keywords in the pages, the kind of content each page has, and the links, before returning the information to the search engine. This process is known as Web crawling.

The page you need is indexed by a software known as a web crawler. A web crawler gathers pages from the web and then, indexes them in a methodical and automated manner to support search engine queries. Crawlers would also help in validating HTML codes and checking links.

These web crawlers go by different names, like bots, automatic indexers, and robots. Once you type a search query, these crawlers scan all the relevant pages that contain these words and turn them into a huge index.

For example, if you are using Google’s search engine, then the crawlers would go through each of the pages indexed in their database and fetch those pages to Google’s servers. The web crawler follows all the hyperlinks on the websites and visits other websites as well.

So when you ask the search engine for a ‘course in software development ‘, it will come up with all the web pages that feature the term. Web crawlers are configured to monitor the web regularly so the results they generate are updated and timely.

Interesting Read: https://hirinfotech.com/what-is-web-scraping/

How Web Crawlers Work

The spider begins its crawl by going through the websites or list of websites that it visited the previous time. When the crawlers visit a website, they search for other pages that are worth visiting. Web crawlers can link to new sites, note changes to existing sites, and mark dead links.

Google Inside Search – How it works

In the World
Wide Web, there are trillions and trillions of pages. Google says there are
more than over 60 trillion individual pages. Web Crawlers crawl through these
pages to bring back the results demanded by customers. Site owners can decide
which of their pages they want the web crawlers to index, and they can block
the pages that needn’t be indexed.

The indexing
is done by sorting the pages and looking at the quality of the content and
other factors. Google then generates algorithms to get a better view of what
you are searching for and provides a number of features that make your search
more effective, such as:

Spelling – In case there is an error in the word you typed, Google comes up with a number of alternatives to help you get on track.

Google Instant – Instant results as you type.

Search methods – Different options for searching, other than just typing out the words. This includes images and voice search.

Synonyms – Tackles similar worded meanings and produces results.

Autocomplete – Anticipates what you need from what you type.

Query understanding – An in-depth understanding of what you type.

Web spiders play an important role in generating accurate results. But it is also your duty to keep your website alive with fresh, high quality, and updated content. Did you know that Google inside Search skims over 200 factors to bring your users relevant and updated content?

What is Data Mining?

Data mining
is a powerful technique that helps extract predictive information from
databases. This saves time for companies looking for revolutionary
face-changing information in their data warehouses.

There are specific tools for data mining and their duty would be to analyze the past behavior of users and predict future trends to help businesses make knowledge-driven, proactive decisions.

Data mining
tools help in minimizing the time that it took in the past to analyze the huge
amounts of data, while at the same time, scouring for specific patterns in the
data that even experts are likely to miss. What a human cannot do manually,
data mining can, and it can easily sift through massive quantities of data,
with no loss of time or crucial information.

Interesting Read: https://hirinfotech.com/data-mining-vs-data-harvesting/

How Web Crawling can help in Data Mining

Now that we have understood what web crawling and data mining are, you can guess that both work in tandem with each other. Once the web crawler collects all the data from various sources, this data will remain in an unstructured form, mainly in JSON, CSV, or XML formats. This is raw data and deriving useful insights from it is known as data mining.

So you can say, web crawling is the first step in the data mining process. The seriousness and importance of data mining come to light during the extraction process because you’ve got to deal with web pages errors, data in multiple languages, and irregular markups. It is also important to retain the encoding format as it is.

Use cases of Data Mining

We have
already witnessed the power of Big Data and Mobility in helping a business
improve profitability. With the data deluge that’s occurring in every industry,
the need to master data mining and following careful business analysis practices
are imminent.

This is why you can find excellent use cases of the same in medicine, insurance, scientific research, commerce, and a variety of other sectors. Let’s follow this with a couple of examples to understand the importance of data mining:

Interesting Read: https://hirinfotech.com/useful-web-scraping-tips-and-tricks-for-efficient-business-activities-in-2020/

The Insurance Sector

Insurance
companies have been able to leverage the full potential of data mining to gauge
the spending and saving patterns of their customers so that they can identify
the risk factors and deliver result-oriented customer level analysis. This
would also help them to develop new product lines while detecting fraudulent
claims and performing accurate financial analysis.

This proves
that data mining is applied with very powerful results in the insurance
industry and the companies who have applied it have achieved tremendous
competitive advantage. Here are a few examples of companies that successfully
use data mining to help retain customers and to weed out fraudulent people –
Fidelity, Capital One, Vodafone.

Data Mining in Healthcare Sector

The application of data mining has helped in the volume and complexity of managing medical data and definitely beats the practice of using manual analysis to find specific patterns in the ever-widening repository of data.

For example,
effective data mining can help in understanding several biological processes by
analyzing a flood of biological and clinical data obtained through protein and
genomic sequences, protein interactions, disease pathways, DNA microarrays,
electronic health records, and protein interactions.

With
state-of-the-art data mining techniques, it is easy to handle challenging data
mining problems and make meaningful observations and discoveries.

Data Mining in US Presidential Elections

The US
Presidential election campaign has made use of data mining to make predictions.
The huge boiling cauldron of data has been stirred continuously for collecting
big data and using it wisely to reap huge rewards in the campaigns. Everywhere
in the world, politicians have made use of the benefits of data mining to guide
their election campaigns.

If you observe the previous election results, you can see that it is the candidate who conducts the strangest election campaign that makes it to the President’s podium. Data collection, analysis, and intelligent decision making play a crucial role in deciding how compelling the campaigning was.

Data mining
has been used in a variety of degrees to calibrate the pre-election campaigns.
In the 2012 and 2016 election campaigns, data mining played a central point in
making predictions because data from each electoral member was collected and
analyzed on the basis of their behavioral patterns.

This proved
beyond a shadow of a doubt that data mining, when used in the right way by the
right people offers limitless opportunities.

Image Mining – a Form of Data Mining

Image mining
is also a process of searching through huge volumes of data and indexing them
on the basis of images. The patterns are drawn according to various principles
drawn in pattern recognition, machine learning, image retrieval, and
statistics. The extraction of images is an important field as huge amounts of
data come in each day.

Extracting data through images

Businesses have begun to extract images from shopping comparison websites and collect information based on customer behavior. So if you are searching for a particular image, you can see the images of the same product and related products in the search results.

Through
image mining, you can analyze comprehensive information about different
products. This helps you to get search results of the product you are looking
for and similar products with variations in color, size, and price

Use case of Image Mining

Google has played a major role in helping users extract data through a novel service known as Google Takeout. This is the perfect choice for people who need to collect information without compromising on their own data, privacy, or any such issues. With the benefit of Google Takeout, data mining professionals need not store all the images in secondary storage devices.

Tumblr, the
micro-blogging and social networking site is also another good example of image
mining. The site stores thousands and thousands of multimedia files that can be
retrieved at any time.

The advent
of image mining bears testimony to the fact that the process of communication
has changed drastically, Content has shrunk to mere captions and the emergence
of “visual grammar” has taken on the social media by storm. The start of the
storm was through Flickr. Remember Flickr? See how far image mining has come
from there.

Data Extraction

Web crawling
and Data mining can be completed only when another major component comes in.
And that is Data
extraction. Data extraction is extremely useful for people indulging in
online shopping. There are sites with data sources that are structured, like
Amazon for example, but some remain unstructured and are hidden deep in the
web.

To get the
data from such sites, the query will have to be entered in the search box and
filters are narrowed to get the results. The result of the search query comes
in the form of product details embedded in HTML.

Only a special crawler that parses HTML can scrape and extract exact product details as demanded by the user. The details include product title and information, pricing, variations, rating, reviews, product code, and so on. The feed is updated regularly, so the user gets only relevant, timely, and fresh data.

Use cases of Web Crawlers

Web crawlers have become so important to companies having a strong online presence, and they use it to obtain data like product information, reviews, pricing details, and images to ensure they deliver better than what their competitors give. Web crawlers can, thus, make an impact on every aspect of a business.

It could be
an e-commerce site or a travel-based comparison site, but the presence of web
crawlers makes all the difference to the end-user. Everywhere businesses are
looking for ways to beat their competition trying to provide better quality
products at reasonable prices.

Let’s
understand this better with a few use cases:

The Real Estate Industry

Web crawlers have made a huge impact by literally bringing together all the real estate listings in various parts of the country. This catalog is prepared by noting the property descriptions according to type, number of bedrooms, images, market value, and other relevant information in a structured format.

Now, the buyer/seller can visit the website offering such information and browse through the listings to know the price and other details of a particular property. In such a website, a data acquisition pipeline will have to be set where millions of records had to be captured, extracted, and uploaded.

The Automobile Industry

Web crawlers play an important role in the automobile industry. Take the case of the car industry, for instance, where clients require a plethora of data to be explored from numerous resources like auto spare parts sites, automobile communities, blogs, and the like.

The web crawler goes through all the source sites provided by the client, collects, and extracts the required data. It is also important to set the parameters for data extraction separately for each site because the source websites may have different structures and designs. The user can compare the prices; observe the latest trends, and other data delivered by different sources and then make wise decisions.

Wrapping Up

Web crawling, Web scraping, and Data mining are, thus, instrumental in defining the success of almost every business in the world right from retail and e-commerce to healthcare and entertainment. Everywhere there is a demand for insightful data, and site-specific crawl is the word of the day. This is why you have specific crawl requirements separately for various social media platforms, e-commerce websites, blogs, news websites, and forums.

The results
themselves are ranked according to usability and authority by monitoring
metadata descriptions and traditional full-text methods. Additionally, this is
a great boon for website owners because they can see how search engines operate
and determine which search engine brings how many search queries.

Interested in improving your search results using Web Crawlers? We are here to help you…