


Adelina Kiskyte
Last updated by Donata Norkūnaitė
2026-08-11
8 min read
AI Summary:
A web crawler is a tool that systematically browses the internet, starting from known URLs and following hyperlinks to discover and index web pages. It operates under specific rules to gather information, enabling large-scale data collection for search engines or businesses, despite stable access maintenance challenges.
The main issues of web scraping are web data quality and speed. Search engine scraping and extracting data from e-commerce websites at scale requires high-speed crawlers that do not compromise the quality of extracted data.
A powerful web crawler that both crawls and scrapes complicated targets, parses data, and ensures a high success rate without any maintenance, would be ideal for any business that prefers to make data-driven decisions.
But before we get to the solution, let’s have a better look at the concept of a web crawler. What is a web crawler and how does it work?
A web crawler (also known as a crawling agent, a spider bot, web crawling software, website spider, or a search engine bot) is a tool for accessing websites and gathering information. In other words, if you intend to use a program or a bot to gather specific public data, a web crawler is the solution for you.
Web crawlers start from a list of known URLs and crawl these webpages first. The crawling process then continues as crawlers discover and access additional pages. What happens next?
After crawling the initial pages, web crawlers find hyperlinks to other URLs, and the next step is to crawl them. As a result, this process can be endless. Depending on the purpose of the crawl, focused web crawlers can be configured to discover specific pages rather than an entire website.
This is why web crawlers follow particular rules, such as deciding what pages to crawl, when they should crawl these pages again to check for web content updates, and much more.
Furthermore, web crawler bots can be used by companies that need to gather data for their purposes. In this case, a web crawler is usually accompanied by a web scraper that downloads, or scrapes, the required information.
Another crucial aspect to consider is web crawler speed. If your requirements are high and you need to crawl, for example, hundreds of thousands of pages, very few standard web crawlers can achieve this efficiently. Furthermore, crawling multiple threads at high speeds may overload the target website's server, negatively affecting both the website owner and your own projects.
Therefore, ensuring your web crawling tools are used in an ethical manner should be a top priority. To help manage crawler behavior, websites can use a robots.txt file, which directs crawlers on which pages should be crawled and how frequently.
A web crawler is designed to discover webpages and URLs, but it does not extract structured data from webpages, parse page content, render complex JavaScript applications, clean or analyze collected data, or store information for reporting. These tasks require additional tools, such as web scrapers for data extraction, headless browsers for rendering dynamic websites, databases for storage, and analytics tools for processing the collected information.
Note that the way web crawling works is not the same as web scraping, neither is the purpose of these processes. Web scraping aims to parse and extract data from a website, while web crawling is primarily focused on discovering target URLs. We have a dedicated crawler vs scraper blogpost discussing the topic in great detail, so if you're curious to learn more, check it out.
When discussing the various types of crawlers, there are usually three categories:
These crawlers mimic user behavior and are commonly run through computers or browsers installed on desktops. As a result, these crawlers can effectively make HTTP requests and gather the results easily.
The core feature of these web crawler bots is that they don’t crawl the pages themselves. The requests are instead sent to API endpoints, from whom the specific structured data is gathered.
A key feature of these crawlers is that their crawling workload is distributed across multiple machines or instances, allowing for increased scalability and performance. This makes cloud-based crawlers perfect for large-scale crawling tasks.
In general, most web crawlers are created for the work of search engines. Search engines use different web crawlers to index websites and deliver the right pages according to keywords and phrases. Every search engine uses its own web crawlers. Google, for example, uses Googlebot, which encompasses two types of web crawlers: Googlebot Desktop and Googlebot Smartphone. Notably, Google primarily indexes the mobile version of the web content, so the vast majority of Googlebot crawl requests are made using the mobile crawler.
Various providers offer web crawlers, like Screaming Frog, for companies that prefer to make data-driven decisions. For example, in e-commerce, there are specific web crawlers that are used to crawl information that includes product names, item prices, descriptions, reviews, and much more. Furthermore, web crawlers are used to discover the most relevant and gainful keywords from search engines and track their performance.
The web crawler tool is a feature of Oxylabs Web Scraper API for crawling any website, selecting useful web content, and having it delivered to you in bulk. With the help of this feature, you can discover all pages on a website and get the needed website data from them at scale and in real time. To check how our web crawler works in action, watch the video below.

Web crawling has many applications across different industries. Below are some of the most common use cases that can be applied across industries.
Large e-commerce websites use web scraping tools to gather data from competitors’ websites. For example, companies crawl and scrape websites and search engines to gather real-time competitors’ price data. This allows businesses to stay informed about most recent campaigns and promotions, and act accordingly.
Another use case includes keeping up to date with the assortment on competitors’ websites. Monitoring new items that other companies add to their product lists allows e-commerce businesses to make decisions about their own product range. Having this information, companies can adjust their offerings – products or services. Being on top of their game is essential if businesses want to stay relevant in the competitive market.
Web crawlers collect information about website content, structure, metadata, and keywords to analyze search engine visibility. Businesses use this data to identify SEO opportunities, monitor rankings, audit specific websites, and optimize content to improve their search engine performance and attract more organic traffic. Tools such as Google Search Console can also help website owners monitor how their pages perform in search.
Organizations also use multiple web crawlers to gather large collections of publicly available text and other content that can be used to train or fine-tune large language models. By collecting diverse and up-to-date information from across the web, developers can build datasets that then help AI systems better understand language, answer questions, and generate relevant content.
We already discussed the advantages of web crawling for e-commerce businesses and other industries, but this process also presents challenges. Here are some of the most common ones, including why dynamic websites are harder to crawl.
First of all, data crawling requires a lot of resources. In order to gather wanted data from e-commerce websites or major search engines, companies need to develop a certain infrastructure, write scraper code and allocate human resources (developers, system administrators, etc.)
Another issue is stable access challenges. For example, websites add CAPTCHA challenges to distinguish real users from bots. Many budget scraping and crawling tools on the market are not efficient enough to gather data from large websites.
Some companies use proxies and rotate them in order to emulate browser behavior. Rotating IPs works on small websites with basic logic, but more sophisticated e-commerce websites have extra security measures in place. They quickly identify bots and limit them.
Dynamic websites create additional challenges because much of their content is generated after the initial page load using JavaScript. Traditional crawlers that only analyze static HTML may not be able to access this data. To extract information from dynamic websites, crawlers often need browser automation tools, additional rendering capabilities, or access to underlying APIs.
One more challenge: the quality of the gathered data. If you extract information from hundreds or thousands of websites every day, it becomes impossible to manually check the quality of data. Cluttered or incomplete information will inevitably creep into your data feeds.
Oxylabs’ E-Commerce Scraper API (part of Web Scraper API) solves e-commerce data gathering challenges by offering a simple solution. E-Commerce Scraper API is a powerful tool that gathers real-time information and sends the data back to you. It functions both as a web crawler and a web scraper.
Most importantly, this tool is perfect for scraping large and complex websites and search engines, so you can maintain stable access and forget about broken data.
In short, this is how Oxylabs’ E-Commerce Scraper API works: You send a request for information; E-Commerce Scraper API extracts the data you requested; You receive the data in either raw HTML or parsed JSON format.
E-Commerce Scraper API only charges for successful requests, ensuring fair pricing and reduced costs on your end. It is easy to integrate and requires zero maintenance from your side.
E-Commerce Scraper API reduces data acquisition costs. It replaces a costly process that requires proxy management, CAPTCHA handling, code updates, etc.
Access accurate results from leading e-commerce websites based on geo-location. Oxylabs’ global proxy location network covers every country in the world, allowing you to get your hands on accurate geo-location-based data at scale.
Get all the data you need for your e-commerce business. Whether you are looking for data from search engines, product pages, offer listings, reviews, or anything related, E-Commerce Scraper API will help you get it all.
E-Commerce Scraper API has three integration methods: callback, real-time, and proxy endpoint. You can read more about each integration method in Web Scraper API Quick Start Guide.
Many various e-commerce businesses choose Oxyabs’ E-Commerce Scraper API as an effective data gathering method and solution to data acquisition challenges.
One of the UK’s leading clothing brands were looking for a solution to track their competitor’s prices online. Based on this data, they wanted to make more accurate pricing decisions that would lead to better competition and, essentially, more revenue. The company had an in-house data team, but overall costs for such complicated data extraction were too high and their resources were limited.
Oxylabs’ E-Commerce Scraper API (Web Scraper API) helped the company collect all required data, including product names, prices, categories, brands, images, etc. As a result, the company optimized their pricing strategy based on real-time data and increased online sales by 24% during the holiday shopping season (market average was 18%).
This company’s success story is just one of many ways Oxylabs’ E-Commerce Scraper API can help e-commerce businesses increase their performance.
Web crawlers are an essential part of how search engines and businesses discover and collect website data at scale. They crawl pages, follow relevant links to discover new URLs, and can revisit existing pages to identify updates. Search engines use crawlers to discover and index pages, helping them organize content and deliver relevant search results on search engine results pages.
For businesses, web crawling supports a wide range of use cases, from competitor monitoring and data collection to search engine optimization and large-scale data extraction. Crawled website data can also be used to build training data for large language models and support other data-driven applications.
Effective web crawling requires more than simply accessing a web server, and understanding how crawlers work and how they differ from web scrapers can help businesses choose the right approach for their data collection needs.
Looking for the right tool for your project? Explore our guide to the best web crawlers and website crawling tools to compare available options.
To sum it up in a single sentence, the primary purpose of a web crawler program is to search and automatically index website content, throughout the World Wide Web. Learn more about what is web indexing on our blog.


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