We are Comparor, a price comparison and online stores dedicated to helping users find the best prices and offers available on different products and services. Our platform is easy to use and offers a variety of search options to help users find what they need quickly and efficiently .

At Comparor, we believe in transparency and honesty in our operations. We strive to provide accurate and up-to-date information about available prices and offers, as well as the features and specifications of the products or services displayed on our platform.

In addition, we take the privacy and security of our users very seriously. That's why we use advanced security technologies to protect our users' personal information, and we promise not to share or sell that information to third parties.

Our team is made up of experts in e-commerce and technology , with extensive experience in the development and maintenance of price comparison platforms and online stores. We are committed to continuous improvement and are constantly working to keep our platform up to date and improve the user experience.

If you have questions or comments about our platform, please do not hesitate to contact us. We're here to help and look forward to providing you with the best online shopping and price comparison experience possible.

Big data vs Data Mining

Data mining and big data are of great importance in electronic commerce, and bring multiple benefits to online stores and buyers.

Benefits for online stores:

  • Identification of purchase patterns : Data mining and big data can be used to analyze customer purchase patterns and detect trends in their purchase preferences. This can help online stores make informed business decisions, such as new product development or product selection for promotion.
  • Price optimization : Data mining and big data can also be used to analyze prices and demand for products and adjust prices to maximize sales and profit.
  • Personalization of the customer experience : Data analysis can also allow online stores to personalize the experience of customers. For example, you can show customers personalized product recommendations based on their past shopping preferences.
  • Fraud detection : Data mining and big data can also be used to detect fraud, such as credit card fraud or product return fraud.

How does a Web Crawler work?

Web Crawler

A web crawler, also known as a web spider, is an automated program used to explore and collect information from websites on the Internet. The main purpose of a web crawler is to crawl the content of different web pages and collect information for further processing, indexing or analysis.

The operation of a web crawler is relatively simple. First, the program starts by selecting a list of URLs or web site addresses that you want to explore. The web crawler then sends HTTP requests to each of the websites to access their pages and download their content. The content is stored in a database for further processing.

The web crawler processes the content of the downloaded page, extracting and analyzing links, images, text and any other resources found on the page. Once all the resources have been extracted, the crawler follows the links it finds to explore and download content from other web pages. This process is repeated over and over again, until all the web pages that have been defined in the URL list have been explored.

It is important to note that web crawlers follow a set of established rules to access and explore websites. These rules, called robot exclusion protocols, indicate which pages or sections of a website should not be crawled and what types of actions are or are not allowed on the site. Failure to comply with these protocols can cause problems, such as blocking access to the website or even legal action.

In short, a web crawler is an essential tool for exploring and gathering information from web pages on the internet. Its operation is relatively simple, but it is important to comply with robot exclusion protocols and respect the rules of access and use of the websites that are explored.

How Comparor Web Crawlers Work

  • Online store selection : This involves identifying a list of relevant stores that sell similar products or including all possible stores to get a broader picture of prices.
  • Identification of the structure of the website : Once the online stores have been selected, the web crawler must analyze the structure of each website to identify the location of the prices of the products and the relevant data. This may require a manual scan of each website to identify the relevant elements in the HTML code.
  • Price Crawling : The web crawler will send HTTP requests to each of the websites and download the content of the pages, including prices and any other relevant information. To find the price of products, the web crawler will look for specific elements in the page's HTML code, such as tagged prices, shopping cart information, or the price on the product details page.
  • Data processing : Once the prices of the products of each website have been collected, the information must be processed for further analysis. This may involve normalizing prices and removing duplicate or invalid data.
  • Data Presentation : The processed data can be presented in a user interface, where users can easily compare product prices between different stores. Alerts can also be generated when product prices change or when new offers are discovered.
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Follow the best deals on your phone!