npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

scrapr

v0.0.15

Published

A tool for getting public website content using a browser engine or http get.

Downloads

45

Readme

Scrapr

"Why should I use this"?

There are websites that rely on javascript frameworks (like jQuery or AngularJS) and process dynamic data after the page load. For these type of websites, you should use a browser to interpert the javascript code and then get the data. Which is what this tool does: provides methods for this task using SlimerJS (Firefox's Gecko engine) in the background.

Installation

  $ npm install scrapr --save

Methods


getHtmlViaBrowser(url, loadImages)
  • url: string (required)
  • loadImages: bool (optional)

Opens a browser under the hood, waits for the page load and then gets the data. Returns a promise with a jQuery object ($). This is useful if the page relies on javascript and updates the html content after the page load.

var scrapr = require('scrapr');

// Opens a browser (loading images), goes to google, gets html tag, finds "feeling lucky button" and prints it
scrapr.getHtmlViaBrowser('http://www.google.com', true).then(function($){
    $('html').filter(function(){  
      var htmlTag = $(this);
      var luckyButton = htmlTag.find('input.lsb')[0];
      console.log($(luckyButton).attr('value'));
    });
}, function(err){
    console.log('Could not request page. Error: ' + err.message);
});

getHtmlViaRequest(url)
  • url: string (required)

Makes a direct GET request to the url and returns a promise with a jQuery object ($). This is useful if the page does not rely on javascript and updates the html content after the page load.

var scrapr = require('scrapr');

// Gets google's html tag, finds "feeling lucky button" and prints it
scrapr.getHtmlViaRequest('http://www.google.com').then(function($){
    $('html').filter(function(){  
        var htmlTag = $(this);
        var luckyButton = htmlTag.find('input.lsb')[0];
        console.log($(luckyButton).attr('value'));
    });
}, function(err){
    console.log('Could not request page. Error: ' + err.message);
});

parseListIntoSlices(arrayToParse, length)
  • arrayToParse: string (required)
  • length: number (required)

A helper function that splits a large array into slices with the specified length. Useful for throttling large amount of requests while doing parallel requests. For example: scraping 50 pages into slices of 5 with a minute interval for each slice.

var scrapr = require('scrapr');

// Creates an array of 50 elements and then split it into slices of 6
var largeArray = new Array();
for(var i = 0; i < 50; i++) {
  largeArray.push(i);
}

var slices = scrapr.parseListIntoSlices(largeArray, 6);
console.log(slices);

Author

Renan Caldas de Oliveira

  • Web: http://www.renancaldas.com
  • E-mail: [email protected]
  • Twitter: https://twitter.com/renanzeirah
  • Github: https://github.com/renancaldas
  • Facebook: https://www.facebook.com/renan.caldas.oliveira