Captcha and location limitations are the simplest way to protect a website from data scraping. But such protection is relatively easy to avoid. Captcha solving services are software that send a simple puzzle to a human user who recognizes it and returns results to the scraper.
Proxies help to avoid location IP blocking (read more about that in our blog).
DataOx has faced exotic restrictions on a “complex” Canadian website that limited the hours of its website like a brick-and-mortar shop.
There is a category of websites in which owners order special protection from third-party vendors (like Imperva or Akamai). Such services create heavy restrictions on the amount of data you can extract from the website. They have special algorithms that “understand” that the web scraper is not human, but rather an automated process.
Good examples of such web sources are LinkedIn, Glassdoor, British Airways, and others. Generally, the sites that are extremely often scraped, tend to have extremely advanced anti-scraping mechanisms.
Such sites should be scraped respectfully, but it does not mean you won’t be banned, then there are tools and tricks to avoid this: human-like crawling, user agent rotation, and proxy rotation.
The best way to pretend your scraping bots are real users is to use a real browser. Besides, try not to crawl in a predictable and repetitive way. Scraping content consequently, your chances to be identified by the bot protection mechanisms of the target site are higher. That’s why the orders should be randomized as much as possible as well as delays between requests. It’s also advisable not to chain all the requests in one large sequence. Keep in mind that the more unpredictable your scraper is, the more it’s human-like and the more likely it’ll operate successfully.
User Agent Rotation
The main trick in parsing a website that does not want to be parsed and eager to prevent its content theft, is to write unidentifiable script and randomizing user agents.
Multiple requests from the same IP are the main identifier that a site is being scraped,
A proxy rotation service can help you eliminate this issue by changing IP addresses with every request you make. Depending on the project tasks and budget, either Datacenter or Residential IPs can be chosen.
It’s very difficult to extract large volumes of information from complex sites, but we know how to do it. At DataOx, we develop a lot of workarounds using human behavior imitation, proxy rotation mechanisms, and “careful” scraping.
Dynamic Data is another category of information which is difficult to scrape since you have to deal with the information that changes very often. Yet monitoring dynamic data streams allows better insights and faster actions based on the information received up-to-the-moment. In such a way, the time between cause and effect can be significantly reduced.
Through a continuous dynamic data extraction with search engine bots and other tools one can receive a comprehensive and high-volume database, however, data is often a time sensitive asset in such a case, so it’s vital to the process, analyze it and take into action. That’s why it’s vital not only to have reliable and matching storage for the data scraped, but also effective tools and mechanisms for its further usage.