Espn webscraper for nodejs how to#

Espn webscraper for nodejs how to#

Since we already know how to parse the HTML, the next step is to build a nice public interface we can export into a module. Includes Node.js script to scrape ESPNs Fantasy Football league pages and save data. Node.js client which retrieves sports data from the ESPN API as well as from the NCAA website, with support for NBA, NFL, NHL, WNBA, men's and women's college basketball, and college football. Why can't I have both I decided to rebuild the (now dead. text()) īecause I like to modularize all the things, I created cheerio-req which is basically tinyreq combined with cheerio (basically the previous two steps put together): const cheerioReq = require( 'cheerio-req') I like sports, and I also like easily accessible API's that have the exact information that I want. Take the h2.title element and show the text console. It provides a jQuery-like interface to interact with a piece of HTML you already have. Once we have a piece of HTML, we need to parse it. It's designed to be really simple to use and still is quite minimalist. Because I often scrape random websites, I created yet another scraper: scrape-ita Node.js scraper for humans. Tinyreq is actually a friendlier wrapper around the native http.request built-in solution. In Node.js, all these three steps are quite easy because the functionality is already made for us in different modules, by different developers. Using this module you can easily get the HTML rendered by the server from a web page: const request = require( 'tinyreq') Ĭonsole. Like always I recommend choosing simple/small modules, I wrote a tiny package that does it: tinyreq. Thanks to this structure, data mining from modern and dynamic websites such as Amazon, Tripadvisor, eBay, as well as from lesser-known sites is effortless. There are a lot of modules doing that that. Web Scraper utilizes a modular structure that is made of selectors, which instruct the scraper on how to traverse the target site and what data to extract. To load the web page, we need to use a library that makes HTTP(s) requests. In Node.js, all these three steps are quite easy because the functionality is already made for us in different modules, by different developers.īecause I often scrape random websites, I created yet another scraper: scrape-it– a Node.js scraper for humans. We load the page (a GET request is often enough).

When there is no web based API to share the data with our app, and we still want to extract some data from that website, we have to fallback to scraping. A smart script can do the job pretty good, especially if it's something repetitive.

Obviously, a human is not needed for that. Sometimes we need to collect information from different web pages automagically.