Challenges and Rules of Web Scraping
It is well known that web data provides companies with an exceptional insight into market trends, customer preferences, and competitor activities. Consequently, it is no longer just another data collection option but rather a necessary tactic for the survival of any business that has its roots online or wants to grow by expanding limited internal data. Nevertheless, many companies do not understand the challenges and rules associated with web scraping<\/a>.<\/p>\n\n First of all, it is necessary to know that not all websites are allowed to be scraped. While some websites legally prohibit bots, others have strict blocking mechanisms against bots and use dynamic coding methods. Let's take a closer look at the challenges of scraping.<\/p>\n\n Bot access is the first thing to check before starting any scraping project. Since websites can decide for themselves whether to allow bots (web crawlers), you may encounter sites that do not allow automated scraping<\/a>. The reasons for prohibition may vary in each case, but having a script crawl a site that does not allow it is illegal and should not be attempted. If you find that the site you need to scrape prohibits bots via robots.txt, it is always better to find an alternative site that has similar information to collect.<\/p>\n\n Captchas have been around for a long time and serve an excellent purpose - preventing spam. However, they also create major accessibility issues for good bots engaged in scraping. When a captcha is present on the page from which you need to extract data, basic scraping settings fail and cannot overcome this barrier. Although captcha solving technology can be implemented to obtain continuous data streams, it may still somewhat slow down the data collection process.<\/p>\n\n Websites, in an effort to improve user experience and add new features, frequently undergo structural changes. Since scraper bots are written based on the code elements present on the web page at the time the script is set up, these structural changes can cause scrapers to stop working. This is one reason why companies outsource their web data extraction projects to a specialized service provider who will take care of all the monitoring and maintenance of scrapers.<\/p>\n\n IP address blocking is an issue that is rarely a problem for well-behaved bots. However, false positives can occur, and sometimes even harmless bots can be blocked by IP blocking mechanisms set up on target sites. IP blocking usually happens when a server detects an unnaturally high number of requests from the same IP address or if the scraper makes multiple parallel requests. Some IP blocking mechanisms are too aggressive and can block a scraper even if it follows best practices of web scraping.<\/p>\n\n There are many services and tools that can be integrated with websites to detect and block automated web crawlers. Such solutions try to present web data extraction as a harmful activity, while good bots actually benefit the target site in several ways. Bot blocking services can actually degrade your site's overall performance in terms of search ranking.<\/p>\n\n There are many use cases where real-time web data extraction is essential. Since product prices in e-commerce stores change in the blink of an eye, pricing analysis is one of those use cases where real-time latency becomes invaluable. Such results can only be achieved by building an extensive technical infrastructure capable of handling ultra-fast live requests. Our live request solution is built precisely for this purpose and is used by companies for real-time price comparison, determining sports scores, aggregating news feeds, and tracking inventory in real time, among other cases.<\/p>\n\n While websites are becoming more interactive and user-friendly, this has the opposite effect for scraping. In fact, new websites with a lot of dynamic coding methods are not at all friendly to scrapers. Examples include lazy loading images, infinite scroll, and product variants loaded via AJAX calls. Such sites are difficult even for Google bots to crawl. At ESK Solutions, we have developed a technical stack and expertise to deal with sites that heavily rely on JavaScript and other dynamic elements.<\/p>\n\n Ownership of user content is a contentious topic, but it is usually claimed by the sites where it was published. If the websites from which you need data are classified ads, business directories, or similar niches where user-generated content is the main USP, you may have fewer sources to scrape because such sites typically do not allow legal scraping<\/a>.<\/p>\n\n Given the dynamic nature of the Internet, there are certainly many more challenges associated with extracting large volumes of data from the web for business use. However, companies always have the option to choose a fully managed web scraping service like ESK Solutions to overcome all these obstacles and get exactly the data they need, in the way they need it.<\/p> 1. Bot Access<\/h2>\n\n
2. Captchas - A Challenge for Scraping<\/h2>\n\n
3. Frequent Structural Changes<\/h2>\n\n
4. IP Address Blocking<\/h2>\n\n
<\/p>\n\n5. Real-Time Delay<\/h2>\n\n
6. Dynamic Websites<\/h2>\n\n
7. Ownership of User Content<\/h2>\n\n
Skip the Difficulties and Get to Your Data<\/h2>\n\n