< Back
Web Crawling vs. Web Scraping – Key Differences and Benefits

Web Crawling vs. Web Scraping – Key Differences and Benefits

In today's digital world, getting information from websites has become essential in various industries, business and research fields. Web crawling and web scraping are two methods used to gather data and extract information from sites on the vast World Wide Web. Although these terms are sometimes used interchangeably, they refer to different processes with distinct purposes and approaches. Understanding the differences and advantages of web crawling and web scraping is crucial for anyone involved in extracting and analyzing website data.

Web Crawling: Exploring the Web

Web crawling, also known as web indexing, a service that involves systematically browsing and indexing web pages. For example, search engines like Google and Bing use web crawling tools to scrape data to build their search indexes and provide users with up-to-date search results. Crawlers, which are like bots or spiders, start from a starting URL and follow links to discover and access other web pages.

The main goal of web crawling is to gather information about web pages, using features such as their URLs, content, structure, and metadata. It involves navigating through various websites and capturing data for indexing and ranking purposes. Web crawlers use techniques like following links in a strategic manner to efficiently explore a site and retrieve data from the web.

Advantages of Web Crawling

  1. Indexing and Search: Web crawlers help search engines index web pages, making them searchable for users worldwide. This allows for quick and efficient information retrieval.
  2. Freshness of Data: Crawlers regularly revisit websites to update their indexes with the latest content. This ensures that search results are relevant and reflect recent changes on the web.
  3. Discovering New Content: Crawlers explore the web by following links, enabling them to find new web pages and content that may not be easily accessible through other means.

Web Scraping: Extracting Specific Data

Web scraping involves extracting specific data from web pages. It is a more focused process that aims to retrieve particular website information of interest rather than indexing the entire web. Scraping extracted data from a website involves analyzing the HTML structure of web pages, extracting relevant data elements, and transforming them into a structured format for analysis.

Web scraping can be done using various tools, libraries, or customized scripts. It typically involves sending requests to web servers, retrieving the HTML content, and using techniques like searching for patterns or specific elements to extract the desired data. Scraping web data is widely used in applications such as price comparison tool, sentiment analysis tool, market research tool, content aggregation service and many more.

Advantages of Web Scraping

  1. Data Extraction: Web scraping allows organizations and researchers to gather large amounts of data from multiple sources for analysis and decision-making. It provides access to valuable information that may not be available through traditional APIs or datasets.
  2. Customization and Targeting: With web scraping, it is possible to specify the exact data elements needed, allowing for targeted extraction of specific information. This flexibility provides a significant advantage for tailored data collection.
  3. Automation and Efficiency: By automating the data extraction process, web scraping saves time and resources compared to manual data collection methods. It can retrieve data from multiple pages simultaneously and handle large-scale extraction tasks efficiently.

Key Differences and Complementary Nature

Web crawling and web scraping are different but complementary processes. Web crawling focuses on exploring and indexing the web, while web scraping concentrates on extracting specific data from web pages. Crawling is primarily used by search engines to provide broad access to web content, for example while scraping is used for more specific data extraction purposes.

Moreover, web scraping software often relies on web crawling as a preliminary step. Scrapers may use crawlers to collect URLs or discover new websites before performing targeted data extraction. This combination of crawling and scraping tools allows for comprehensive data gathering and analysis.

Try GoProxies now
Millions of IPs are just a click away!
Turn data insights into growth with GoProxies
Learn more


What Are Rotating Residential Proxies?
Rotating Residential Proxies offer you the best solution for scaling your scraping without getting blocked.

Rotating proxies provide a different IP each time you make a request. With this automated rotation of IPs, you get unlimited scraping without any detection. It provides an extra layer of anonymity and security for higher-demand web scraping needs.

IP addresses change automatically, so after the initial set up you’re ready to scrape as long and much as you need. IPs may shift after a few hours, a few minutes or after each session depending on your configuration. We do this by pulling legitimate residential IPs from our pool.
Why Do You Need Rotating Residential Proxies?
There are a number of use cases for rotating residential proxies. One of the most common ones is bypassing access limitations.

Some websites have specific measures in place to block IP access after a certain number of requests over an extended period of time.

This limits your activity and hinders scalability. With rotating residential IP addresses, it's almost impossible for websites to detect that you are the same user, so you can continue scraping with ease.
When to Use Static Residential Proxies Instead?
There are particular cases where static residential proxies may be more useful for your needs, such as accessing services that require logins.

Rotating IPs might lead to sites not functioning well if they are more optimised for regular use from a single IP.

Learn if our static residential proxies are a better fit for your needs.
Can I choose the IP location by city?
Yes. GoProxies has IPs spread across almost every country and city worldwide.
Can I choose the IP location by country state?
Yes. GoProxies has IPs spread across X countries with localised IPs in every state.

What is a crawler in web scraping?

A crawler, also known as a web crawler or web spider, is a computer program or script that systematically navigates the internet by following hyperlinks from one web page to another. Its primary purpose is to index and collect data from websites. In the context of web scraping, a crawler is used to automatically and efficiently retrieve information from multiple web pages or websites.

What are the biggest differences between web crawling and web scraping?

The key differences between web crawling and web scraping can be split into four differing categories: Purpose: The primary purpose of web crawling is to index and discover web content, whereas web scraping focuses on extracting specific data or information from web pages. Scope: Crawlers explore a broad range of web pages and websites, often following links to discover new content. Scraping is more targeted and specific. It typically involves extracting data from a limited set of web pages or websites chosen for a particular purpose. Data extraction: Crawlers do not focus on extracting data but rather on collecting URLs and meta information about web pages, such as titles and descriptions. On the other hand, scraping is all about data extraction. It involves parsing the HTML of web pages to extract structured data, such as text, images, prices, and other specific content. Frequency: Crawlers often operate continuously or periodically to keep their index up to date. They may revisit websites at regular intervals. On the contrary, scraping is typically a one-time or intermittent activity. It's performed as needed to gather specific data, and it doesn't necessarily involve revisiting websites at set intervals.

What is the difference between scraping and crawling and parsing?

The difference between scraping, crawling, and parsing is best put by encompassing what each process does: Crawling: This involves the systematic exploration of the web or a website, where a program (crawler or spider) follows links to discover and gather web pages and their URLs. It's like mapping the web's structure and content. Parsing: Parsing occurs after crawling. It's the process of analyzing the HTML or other markup language of web pages to locate and extract specific, structured data. Think of it as translating the raw web page code into understandable information. Scraping: Scraping encompasses both crawling and parsing. It's the complete workflow of collecting web pages, downloading their content, and then extracting the desired data from them. It's like the end-to-end process of data extraction from the web.

What’s a Rich Text element?

The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.

Static and dynamic content editing

A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!

How to customize formatting for each rich text

Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.

By clicking “Accept All Cookies”, you agree to the storing of cookies on your device to enhance site navigation, analyze site usage, and assist in our marketing efforts. View our Privacy Policy for more information.