A web crawler, also known as a spider or a bot, is an automated program or script that systematically visits websites. Its main goal is to collect and index information from these pages. Web crawlers are essential tools for search engines because they help create the database from which search engines generate their search results.
A web crawler works through a structured process that enables it to search websites, collect information from them, and index them.
Starting point (seed URLs)
The crawler begins with a list of starting URLs, known as seed URLs. These serve as the starting point for the crawl.
Retrieval of web pages
The crawler sends HTTP requests to the servers of the seed URLs to retrieve the HTML content of the web pages. This is similar to a web browser loading a page.
Analyzing the HTML content
After the crawler has retrieved a web page, it analyzes its HTML code. In doing so, it extracts various information such as
Extraction and storage of links
The crawler extracts all hyperlinks (a-elements) from the HTML content. These links are added to a list of URLs that the crawler will visit next, which is often referred to as the frontier or crawl queue.
Checking the robots.txt
Before the crawler crawls a new URL, it checks the robots.txt file of the corresponding domain. This file contains instructions on which parts of the website may and may not be crawled by the crawler. The crawler respects these instructions in order to protect the integrity and resources of the website.
Repetition of the process
The crawler repeats the process for each URL in the crawl queue:
Indexing
The information collected is stored in a database or index, which makes it possible to search and analyze the data quickly. Search engines use this index to provide relevant results to users.
Prioritization and limitation
In order to work efficiently, crawlers use strategies to prioritize the URLs in the crawl queue. This can be based on various factors such as:
Dealing with dynamic content
Some modern crawlers are able to execute JavaScript and capture dynamic content generated by client-side scripts. However, this requires additional resources and can be more complicated.
Limiting crawling rates
To avoid overloading servers, crawlers implement limits on crawling rates. They set pauses between requests and adhere to the rules of robots.txt.
There are different types of web crawlers and a distinction is made between them:
General web crawlers
These crawlers are used by major search engines such as Google, Bing and Yahoo to crawl the entire Internet and create comprehensive indexes. They are designed to crawl and index as many websites as possible in order to provide users with comprehensive search results.
Vertical or specialized crawlers
These crawlers are specialized in certain types of content or industries. They only search websites that are relevant to a specific area. Examples are
Incremental crawlers
These crawlers specialize in searching and indexing only new or changed content. Instead of searching the entire web again and again, they concentrate on pages that have been updated since the last visit.
Focused crawlers
These crawlers search the web for content on a specific topic or keyword. They use algorithms to only visit pages that are likely to contain relevant information.
Real-time crawlers
These crawlers are designed to collect information in real time. They continuously monitor websites and update the collected data in real-time or near real-time. This is particularly useful for news websites and social media platforms.
Parallel crawlers
These crawlers run on multiple machines or in multiple threads to increase crawling speed. They are able to crawl and process large numbers of web pages simultaneously, which significantly reduces the overall crawling time.
Distributed crawlers
These crawlers use a distributed system to spread the workload across multiple machines or servers, which allows them to work more efficiently and process larger amounts of data. This type of crawler is often used by large search engines.
Web crawlers are used by search engines such as Google to index websites and provide relevant search results. They are also used by price comparison sites, market research companies, content aggregators, SEO tools, and web archiving services.
Web crawlers also help with social media monitoring, data collection for scientific research, and job portals. Their ability to efficiently sift through and collect large amounts of data makes them indispensable tools in many digital applications.
Web crawlers play a crucial role in search engine optimization (SEO). They search and index website content, which is then displayed in search engine results. A well-structured website with clear navigation makes the work of crawlers easier and improves indexing.
Content should be easily accessible and regularly updated to increase relevance. Fast loading times, mobile optimization, and the use of robots.txt files to control the crawling process are also important. Overall, these measures help to improve the visibility and ranking of a website in search engines.
Web crawlers have a significant impact on the bot management of websites, both positive and negative. Effective bot management is critical to maximizing the benefits of legitimate web crawlers while minimizing the negative impact of malicious bots.
Legitimate web crawlers, like those of search engines, play an essential role in improving the visibility and indexing of websites. They collect and index content so that users can find relevant information via search engines. Companies can also use their own crawlers to collect valuable data for performance monitoring, competitive analysis, and market research.
However, web crawlers can also cause resource problems. Aggressive or unregulated crawlers can place a heavy load on the server, increase loading times and impair the user experience. Malicious bots can pose security risks by searching for vulnerabilities, copying content, or spreading spam.