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

xtract

v0.1.0

Published

Extract data from DOM, easily.

Downloads

5

Readme

Xtract

Extract data from DOM, easily. Useful for back-end generated contents and SEO-friendly rich apps.

Image

Installation

npm install xtract

Requirements

  • This works on browser, not node.js. But if you use jsdom, you can.
  • Requires jQuery.

SEO is the main problem of modern web. And we have problems with passing the data from HTML to JavaScript. Your back-end generated data is need to be mapped to JavaScript and Xtract helps you to do that.

<p id="profile">
  My name is <span data-x="user.name">Fatih</span>,
  and I'm from <span data-x="user.location">Istanbul</span>.
</p>

You can simply extract data now just calling:

xtract($("#profile")).$model

This will generate following object:

{
  user: {
    name: "Fatih",
    location: "Istanbul"
  }
}

Extracting Nested Models

<p id="profile">
  My name is <span data-x="user.name.firstname">Fatih</span>
  <span data-x="user.name.lastname">Akın</span>,
  and I'm from <span data-x="user.location.city">Istanbul</span>,
  <span data-x="user.location.country.name">Turkey
  (<span data-x="user.location.country.code">TR</span>)</span>.
</p>
xtract($("#profile")).$model

This will generate following object:

{
  user: {
    name: {
      firstname: "Fatih",
      lastname: "Akın"
    },
    location: {
      city: "Istanbul",
      country: {
        name: "Turkey",
        code: "TR"
      }
    }
  }
}

Extracting with jQuery

You can use $this in data-x attribute to reach more values.

<p id="profile">
  <img src="my-profile-picture.jpg" data-x="user.image: $this.attr('src')">
  My name is <span data-x="user.name">Fatih</span>,
  and I'm from <span data-x="user.location">Istanbul</span>.
</p>
xtract($("#profile")).$model

This will map the src tag to the user.image:

{
  user: {
    name: "Fatih",
    location: "Istanbul",
    image: "my-profile-picture.jpg"
  }
}

Plug-ins

You can simply write plugins to use extract easier.

xtract.plug('date', function () {
  return $(this).text().replace(/(\d+)\s+(\w+)\s+(\d+)/, '$3, $1 $2');
});

The static HTML:

<div>
  Einstein: <span data-x="date.birth: $this.date()">14 March 1879</span> –
  <span data-x="date.death: $this.date()">18 April 1955</span>
</div>

Output:

date: {
  birth: "1879, 14 March",
  death: "1955, 18 April"
},

License

MIT.