Zillow, one of the most well-known real estate websites in the world, provides consumers with a wealth of information about real estate.
The website is renowned for its enormous database of real estate listings, a tool for estimating homes' worth, and thorough property data analytics.
With the wealth of available information, it is understandable why so many people and organizations are interested in scraping information from Zillow.
This post will discuss how Zillow's anti-scraping tactics may affect your web scraping technique. So let's get started.
Top Ways Zillow’s Anti-scraping can Affect Web Scraping Strategy
Web scraping has become more difficult as a result of Zillow's anti-scraping measures being put in place because it is now more difficult for data analysts, researchers, and other professionals to access and extract data from the platform.
Since there are now Zillow scraping restrictions, previously efficient scraping tools and methods might no longer function as intended, necessitating more time and resources than before. The amount and quality of data that organizations and people can extract from Zillow, as a result, may be significantly impacted, which may have an influence on their research, marketing, and other data-driven activities.
Once you know them, you can work on overcoming anti-scraping measures.
1. IP Blocking
If Zillow notices that you're submitting too many requests in a short amount of time, they may ban your IP address. One of the most popular anti-scraping techniques used by websites to safeguard their data is this. You won't be able to access Zillow's website or access their data once Zillow restricts your IP address. For online scrapers who need to access massive volumes of data swiftly, this can be a significant problem. You can use proxy servers or change IP addresses to solve this problem. To prevent Zillow from detecting your scraping activities, rotate your IP address on a regular basis. By sending your requests through various IP addresses, proxy servers might assist you in hiding your IP address. However, keep in mind that Zillow may blacklist some proxy servers, so it's crucial to use a reliable proxy service that can evade detection.
2. Captcha Verification
You might need to finish a captcha verification in order to access Zillow's website. This is another typical scrape-prevention technique that can take time and make scraping take longer. Captcha verifications aim to confirm that the person accessing the website is a human and not a robot.
Use specialist site scraping tools that can get around captcha verifications to solve this problem. While some scraping tools use third-party captcha-solving services, others use machine-learning algorithms to solve captchas automatically. However, be aware that doing so can be against Zillow's terms of service and result in web scraping legal issues.
3. Session Timeout
Zillow may use session timeouts that restrict how long you can stay on the site. Another measure that can make it challenging for you to scrape a lot of data at once is this one. You will be logged out of the website and required to log back in before you can resume scraping when the session timeout occurs.
You can either decrease the frequency of your requests or use quick-data-extracting scraping techniques to get around this problem. To prevent session timeouts, some online scraping technologies can emulate user behavior. For instance, to simulate an actual user browsing the website, they can imitate mouse movements and clicks.
4. Data Obfuscation
In conclusion, Zillow's anti-scraping strategies can have a variety of effects on your web scraping method. To get through Scraping Zillow without detection and efficiently collecting data, it is possible to utilize rotating IP addresses, proxy servers, captcha-solving software, and specialized web scraping applications that can extract data from sources that are obscured.
However, it's important to remember that taking data from websites with anti-scraping protections in place might violate those websites' terms of service and lead to legal issues. So, always follow the most appropriate and proven web scraping best practices and use eligible sources such as Scraping Home to collect data safely.