Injury Data with Dropdown Menu. You don't need to simulate a click on the dropdown because the injury and suspension links are simply hidden but visible to web scraper.
In this case there was a problem to select these two links because there was an incorrectly formed element in the site. Try this sitemap. Python - Web scraping data from an interactive chart. Scientific Programming: Scraping Data with Python. In a perfect world, all the data you needed would be easily accessible online.
We're not quite there yet. In the past couple months I've had to write several scrapers to acquire large datasets and avoid a lot of tedious point/clicking or copy/pasting. (I also scraped some NFL player data to help with my fantasy football picks next year - same concept.) "Scraping" data basically means to retrieve data from the web, stored in a less convenient format like HTML tables, and copy it into a format you can use such as a CSV file or database.
It can be somewhat tedious, but it usually beats the alternative of trying to copy data by hand. 4 façons de crawler des données - web scrapping & data mining. Au cours de mes nombreux projets, j'ai été confronté à beaucoup de problématiques de crawl / traitement de données.
Below are some resources to help get you started. Modules HTTP Requests The first step in scraping is making an HTTP request. Urllib - the traditional (no frills) library for making HTTP requests. HTML/XML Parsing The second step after downloading your data is parsing it. BeautifulSoup - A traditional favorite among scrapers for HTML parsing. Scraping Frameworks scrapy - "an application framework for crawling web sites and extracting structured data" (packages together the request and scraping bits) Tutorials WebScraping101 - a series of basic web scrapes that demonstrate basic Python syntaxScraperWiki contains tuts, sample code, and even lets you ask others to write a scraper for you (though why would we ever do that, right?)
WebScraping · PythonJournos/LearningPython Wiki.