![]() It can submit data as if filled out in a form on a web page. ![]() It can download a web page’s HTML given its URL. Requests focuses on the task of interacting with web sites. We make use of two tools that are not specifically developed for scraping, but are very useful for that purpose (among others).īoth of these require a Python installation (Python 2.7, or Python 3.4 and higher although our example code will focus on Python 3),Īnd each library (requests and lxml and cssselect) needs to be installed as described in Setup. Writing a scraper in code may make it easier to maintain and extend, or to incorporate quality assurance and monitoring mechanisms. There may also be too much data, or too many pages to visit, to simply run the scraper in a web browser, as some visual scrapers operate. Limitations in using the tools we have seen so far.įor example, some data may be structured in ways that are too out of the ordinary for visual scrapers, perhaps requiring items to be processed only in certain conditions. This is quite a toolset already, and it’s probably sufficient for a number of use cases, but there are These help determine an appropriate selector, and may be able to navigate through a web site collecting data. ![]()
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