DEV Community

Cover image for Web Scraping vs Web Crawling
ApiForSeo
ApiForSeo

Posted on • Originally published at serpdog.io

Web Scraping vs Web Crawling

You might have heard of the term web scraping and web crawling. At some point, you also used these words interchangeably. But, despite a couple of similarities, they hold huge differences between each other.

Web Scraping V/S Web Crawling

This tutorial will teach the differences between web crawling and web scraping. We will also explore web scraping and web crawling in detail so that you can understand the distinctions between them.

What is Web Scraping?

Web Scraping is the process of extraction of data from websites. It can be done manually or using any automated tool to collect the data quickly. It is generally helpful when a desired website does not offer any official API or is expensive to be used by developers.

Read More: Web Scraping — A Complete Guide

The gathered data can be used for various purposes such as monitoring, research, and analysis according to the specific demands of the businesses. This helps companies to make data-driven decisions to remain competitive in the market.

Uses of web scraping

Web Scraping helps developers and businesses in a variety of ways:

Uses of web scraping

Market Research: Web Scraping allows businesses to identify future trends and patterns, understand customer sentiments, and gain a more profound knowledge of market demand, enabling them to align their products or services according to consumer interest.

Competitor Analysis: In a world of fierce competition, web scraping allows businesses to gather important insights into the strategies followed by their competitors, allowing them to identify the strengths and weaknesses of their competitors and gain a competitive edge in the market.

Product Research: Product Research is essential when launching a new product. Web Scraping enables businesses to get a sneak peek into the products offered by their competitors. By analyzing the pricing model, ratings, and customer reviews they can gather insights into customer preferences and identify gaps in the market to develop competitive product strategies.

What is Web Crawling?

Web Crawling can be defined as the process of systematically analyzing the gathered URLs and checking their website content, commonly used in applications such as search engines, price comparison, business intelligence, and more.

This technique is widely used on a large scale by search engines like Google, Bing, Yandex, etc. Additionally, it is instrumental for SEO analysis as it enables businesses to collect data about their backlinks, website rankings, and much more.

Uses of Web Crawling

Web Crawling helps developers and businesses in a variety of ways:

Enormous Data — Web Crawlers can collect large amounts of information from the internet, making them powerful tools for data gathering and analysis.

SEO — Search Engines like Google use this data to index web pages and understand the website structure, content, and keywords.

Tracking — To track anything, such as product pricing or website ranking, you can use a web crawling technique for faster access to information.

What is the difference?

From the above information, we can conclude that both entities deal with a specific type of data collection but with some major differences.

Web Crawling mainly deals with the indexing of web pages. You don’t have any idea about the URLs and domains you are trying to crawl. And that’s why you crawl them to understand these webpages.

On the other hand, web scraping’s only purpose is to gather a specific set of data from the target website. The scraped data is then cleaned and processed into a structured format, making it easy to access. It finds its use cases in a variety of purposes like price monitoring, rank tracking, media monitoring, etc.

Best Practices

Use Proxy Servers — It is essential to use proxy servers so that they can act as an intermediate between you and the target website, which also protects your identity. Proxy Servers usually have access to large amounts of IPs which you can rotate and extract information from a target website at scale.

Read More: Top 10 Proxy Providers In The Market

Rate Limit — Respect the website server. Apply the rate limit so that your target website doesn’t overload and causes disruption to its performance and services.

User-Agents as headers — User-Agents can be utilized to make your bot mimic an organic user, reducing the risk of getting blocked while extracting data from target websites.

Crawl delays — Avoid overloading the website server with frequent requests. Add delays in your crawler and respect the website terms of service, robots.txt, and privacy regulations.

Conclusion

In a nutshell, web crawling can be defined as the indexing of URLs, which is a lot simpler as you only have to deal with the URLs. On the other hand, web scraping involves extracting a specific set of data or information to help businesses in their data-driven decisions.

For businesses, it is necessary to concentrate on improving their products to stand out in a cut-throat competitive market. Instead of focusing too much on maintaining web scrapers or crawlers, you can use our Web Scraping API to extract data smoothly without dealing with any kind of blockage.

I hope this tutorial gave you a complete overview of the differences between web scraping and web crawling.

Please do not hesitate to message me if I missed something. If you think we can help you complete your custom scraping projects, feel free to contact us. Follow me on Twitter. Thanks for reading!

Additional Resources

Want to learn more about web scraping?

No worries! We have prepared a complete list of tutorials so you can get comfortable while creating your web scraping projects.

  1. Web Scraping With Python

  2. Web Scraping With Node JS

  3. Web Scraping With Java

  4. Scrape Google Using PHP

  5. Scrape Yelp Reviews

Top comments (1)

Collapse
 
crawlbase profile image
Crawlbase • Edited

Thanks alot for this blog as it provides a clear distinction between web scraping and web crawling, making it easier for beginners to understand these concepts. The examples and explanations are concise and helpful for anyone in data extraction. For smoother data extraction processes, considering tools like Crawlbase could be beneficial. Great resource!