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Search Engine Scraping is the process of harvesting URLs, descriptions, or other information from search engines such as Google, Bing, Yahoo, Petal, or Sogou. This is a specific form of screen scraping or web scraping dedicated to search engines only.
Most commonly larger search engine optimization (SEO) providers depend on regularly scraping keywords from search engines, especially Google to monitor the competitive position of their customer's website for relevant keywords or their indexing status.
Search engines like Google have implemented various forms of human detection to block any sort of automated access to their services, with the intent of driving the users of scrapers towards buying their official APIs instead.
The process of entering a website and extracting data in an automated fashion is also often called "crawling". Search engines like Google, Bing, and Yahoo, etc get almost all their data from automated crawling bots.
Difficulties
Google is by far the largest search engine with the most users in numbers as well as most revenue in creative advertisements, which makes Google the most important search engine to scrape for SEO-related companies.
Although Google does not take legal action against scraping, it uses a range of defensive methods that makes scraping their results a challenging task, even when the scraping tool is realistically spoofing a normal web browser.
Detection
When search engine defense thinks access might be automated the search engine can react differently.
The first layer of defense is a captcha page, where the user is prompted to verify they are a real person and not a bot or tool. Solving the captcha will create a cookie that permits access to the search engine again for a while. After about one day the captcha page is removed again.
The second defense layer is a similar error page but without captcha, in such a case the user is completely blocked from using the search engine until the temporary block is lifted or the user changes their IP.
The third layer of defense is a long-term block of the entire network segment. Google has blocked large network blocks for months. This sort of block is likely triggered by an administrator and only happens if a scraping tool is sending a very high number of requests.
All these forms of detection may also happen to a normal user, especially users sharing the same IP address or network class (IPV4 ranges as well as IPV6 ranges).
Methods of Scraping Google Bing, Yahoo, and Other Search Engines
To scrape a search engine successfully the two major factors are time and amount. The more keywords a user needs to scrape and the smaller the time for the job the more difficult scraping will be and the more developed a scraping script or tool needs to be.
Scraping scripts need to overcome a few technical challenges:
Programming Languages
When developing a scraper for a search engine almost any programming language can be used. Although, depending on performance requirements, some languages will be favorable.
PHP is a commonly used language to write scraping scripts for websites or backend services since it has powerful capabilities built-in (DOM parsers, libcURL); however, its memory usage is typically 10 times the factor of a similar C/C++ code.
Ruby on Rails as well as Python is also frequently used for automated scraping jobs. For the highest performance, C++ DOM parsers should be considered.
Additionally, Bash Scripting can be used together with cURL as a command-line tool to scrape a search engine.