scrape-it is a free, open source data extraction & web scraping project written in JavaScript and released under MIT. It has 4,069 GitHub stars, 219 forks and 1 open issues, and was last pushed 14 days ago. On this registry it ranks #51 of 149 tracked projects in Data Extraction & Web Scraping, with 5 head-to-head comparisons available.

What is scrape-it?

scrape-it is an MIT-licensed Node.js scraping library that lets JavaScript developers pull structured data out of web pages by declaring CSS selectors for the fields they want, instead of writing parser code by hand.

What it is

scrape-it is an npm module for Node.js that handles the common job of turning an HTML page into a plain JavaScript object. The package exposes a single function that takes a URL and a selector map, makes the request through a simple built-in request module, and resolves with both the extracted data and the HTTP status code. Fields are declared with selector, attr to read an attribute instead of text, convert to transform a value, and how: "html" to keep inner markup. Repeating content is declared with listItem, optionally named with name, and nested with a data block, so lists of articles, tags, or pagination links can be described in the same object shape as the rest of the page.

The concrete problem it solves is the boilerplate of hand-rolled DOM traversal. Rather than chaining element lookups and manually collecting results into arrays, a developer writes one map that mirrors the output they expect. The library lives in the JavaScript and npm ecosystem, and it replaces the ad hoc parsing code that a project would otherwise write on top of a DOM or request library for each new target site. It is deliberately small in scope: there is no crawling engine and no headless browser bundled inside it.

Key capabilities

  • Declarative field maps using selector, attr, convert, and how: "html" to control what gets extracted and in what form.
  • List extraction through listItem and name, including nested lists such as tags inside an article.
  • Promise interface, shown as scrapeIt(url, options).then(...), and full async/await support.
  • A .scrapeHTML method for parsing HTML that is already in memory rather than fetched by the library.
  • A simple request module that can be pointed at an AJAX endpoint returning HTML, for example example.com/api/that-endpoint.
  • A separate command-line version available as scrape-it-cli.
  • Results returned as a { data, status } pair, so the response code is available alongside the parsed content.

Who uses it and how

  • Node.js developers who need a small, dependency-light way to turn a page into structured data.
  • Teams already writing async/await code that want extraction to fit the same promise-based flow.
  • Projects scraping AJAX endpoints that return HTML, by passing the endpoint URL directly to the library instead of the main site.
  • Workflows that parse local files, reading them with fs.readFile and handing the markup to .scrapeHTML.
  • Pipelines that pair scrape-it with a separate crawler or a headless browser such as Google Chrome, Electron, or PhantomJS when a page must be rendered before parsing.

Getting started

Install with npm install --save scrape-it or yarn add scrape-it, then call the exported function with a URL and a selector map. A global CLI is available through npm install --global scrape-it-cli or yarn global add scrape-it-cli.

How it compares

The facts provided do not name any paid products that scrape-it replaces, and they do not name any comparable scraping libraries in this registry. On the evidence available, it stands alone here. Judgements about how it stacks up against other tools would require information this entry does not contain.

When to use it — and when not to

A self-hoster runs no database, storage, or mail service, because this is a library and not a hosted product, but they do take on the limits of its design: there is no crawler, so multi-page traversal has to be built with Promises or handled by another tool, and there is no headless browser, so JavaScript-rendered pages need Chrome, Electron, or PhantomJS first. Anyone who needs rendering, scheduling, or large-scale crawl management out of the box should look elsewhere. The project is healthy in activity and clearly MIT-licensed, with a single open issue at the time of writing, though the README stays deliberately narrow and leaves more advanced crawling patterns as exercises for the reader.

project readme (upstream, from github) — read inline

scrape-it

scrape-it

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A Node.js scraper for humans.


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:cloud: Installation

# Using npm
npm install --save scrape-it

# Using yarn
yarn add scrape-it

:bulb: ProTip: You can install the cli version of this module by running npm install --global scrape-it-cli (or yarn global add scrape-it-cli).

FAQ

Here are some frequent questions and their answers.

1. How to parse scrape pages?

scrape-it has only a simple request module for making requests. That means you cannot directly parse ajax pages with it, but in general you will have those scenarios:

  1. The ajax response is in JSON format. In this case, you can make the request directly, without needing a scraping library.
  2. The ajax response gives you HTML back. Instead of calling the main website (e.g. example.com), pass to scrape-it the ajax url (e.g. example.com/api/that-endpoint) and you will you will be able to parse the response
  3. The ajax request is so complicated that you don't want to reverse-engineer it. In this case, use a headless browser (e.g. Google Chrome, Electron, PhantomJS) to load the content and then use the .scrapeHTML method from scrape it once you get the HTML loaded on the page.

2. Crawling

There is no fancy way to crawl pages with scrape-it. For simple scenarios, you can parse the list of urls from the initial page and then, using Promises, parse each page. Also, you can use a different crawler to download the website and then use the .scrapeHTML method to scrape the local files.

3. Local files

Use the .scrapeHTML to parse the HTML read from the local files using fs.readFile.

:clipboard: Example

const scrapeIt = require("scrape-it")

// Promise interface
scrapeIt("https://ionicabizau.net", {
    title: ".header h1"
  , desc: ".header h2"
  , avatar: {
        selector: ".header img"
      , attr: "src"
    }
}).then(({ data, status }) => {
    console.log(`Status Code: ${status}`)
    console.log(data)
});


// Async-Await
(async () => {
    const { data } = await scrapeIt("https://ionicabizau.net", {
        // Fetch the articles
        articles: {
            listItem: ".article"
          , data: {

                // Get the article date and convert it into a Date object
                createdAt: {
                    selector: ".date"
                  , convert: x => new Date(x)
                }

                // Get the title
              , title: "a.article-title"

                // Nested list
              , tags: {
                    listItem: ".tags > span"
                }

                // Get the content
              , content: {
                    selector: ".article-content"
                  , how: "html"
                }

                // Get attribute value of root listItem by omitting the selector
              , classes: {
                    attr: "class"
                }
            }
        }

        // Fetch the blog pages
      , pages: {
            listItem: "li.page"
          , name: "pages"
          , data: {
                title: "a"
              , url: {
                    selector: "a"
                  , attr: "href"
                }
            }
        }

        // Fetch some other data from the page
      , title: ".header h1"
      , desc: ".header h2"
      , avatar: {
            selector: ".header img"
          , attr: "src"
        }
    })
    console.log(data)
    // { articles:
    //    [ { createdAt: Mon Mar 14 2016 00:00:00 GMT+0200 (EET),
    //        title: 'Pi Day, Raspberry Pi and Command Line',
    //        tags: [Object],
    //        content: '<p>Everyone knows (or should know)...a" alt=""></p>\n',
    //        classes: [Object] },
    //      { createdAt: Thu Feb 18 2016 00:00:00 GMT+0200 (EET),
    //        title: 'How I ported Memory Blocks to modern web',
    //        tags: [Object],
    //        content: '<p>Playing computer games is a lot of fun. ...',
    //        classes: [Object] },
    //      { createdAt: Mon Nov 02 2015 00:00:00 GMT+0200 (EET),
    //        title: 'How to convert JSON to Markdown using json2md',
    //        tags: [Object],
    //        content: '<p>I love and ...',
    //        classes: [Object] } ],
    //   pages:
    //    [ { title: 'Blog', url: '/' },
    //      { title: 'About', url: '/about' },
    //      { title: 'FAQ', url: '/faq' },
    //      { title: 'Training', url: '/training' },
    //      { title: 'Contact', url: '/contact' } ],
    //   title: 'Ionică Bizău',
    //   desc: 'Web Developer,  Linux geek and  Musician',
    //   avatar: '/images/logo.png' }
})()

:memo: Documentation

scrapeIt(url, opts, cb)

A scraping module for humans.

Params
  • String|Object url: The page url or request options.
  • Object opts: The options passed to scrapeHTML method.
  • Function cb: The callback function.
Return
  • Promise A promise object resolving with:
    • data (Object): The scraped data.
    • $ (Function): The Cheeerio function. This may be handy to do some other manipulation on the DOM, if needed.
    • response (Object): The response object.
    • body (String): The raw body as a string.

scrapeIt.scrapeHTML($, opts)

Scrapes the data in the provided element.

For the format of the selector, please refer to the Selectors section of the Cheerio library

Params
  • Cheerio $: The input element.

  • Object opts: An object containing the scraping information. If you want to scrape a list, you have to use the listItem selector:

    • listItem (String): The list item selector.
    • data (Object): The fields to include in the list objects:
      • `` (Object|String): The selector or an object containing:
        • selector (String): The selector.
        • convert (Function): An optional function to change the value.
        • how (Function|String): A function or function name to access the value.
        • attr (String): If provided, the value will be taken based on the attribute name.
        • trimValue (Boolean): If false, the value will not be trimmed (default: true).
        • closest (String): If provided, returns the first ancestor of the given element.
        • eq (Number): If provided, it will select the nth element.
        • texteq (Number): If provided, it will select the nth direct text child. Deep text child selection is not possible yet. Overwrites the how key.
        • listItem (Object): An object, keeping the recursive schema of the listItem object. This can be used to create nested lists.

    Example:

    {
       articles: {
           listItem: ".article"
         , data: {
               createdAt: {
                   selector: ".date"
                 , convert: x => new Date(x)
               }
             , title: "a.article-title"
             , tags: {
                   listItem: ".tags > span"
               }
             , content: {
                   selector: ".article-content"
                 , how: "html"
               }
             , traverseOtherNode: {
                   selector: ".upperNode"
                 , closest: "div"
                 , convert: x => x.length
               }
           }
       }
    }
    

    If you want to collect specific data from the page, just use the same schema used for the data field.

    Example:

    {
         title: ".header h1"
       , desc: ".header h2"
       , avatar: {
             selector: ".header img"
           , attr: "src"
         }
    }
    
Return
  • Object The scraped data.

:question: Get Help

There are few ways to get help:

  1. Please post questions on Stack Overflow. You can open issues with questions, as long you add a link to your Stack Overflow question.
  2. For bug reports and feature requests, open issues. :bug:
  3. For direct and quick help, you can use Codementor. :rocket:

:yum: How to contribute

Have an idea? Found a bug? See how to contribute.

:sparkling_heart: Support my projects

I open-source almost everything I can, and I try to reply to everyone needing help using these projects. Obviously, this takes time. You can integrate and use these projects in your applications for free! You can even change the source code and redistribute (even resell it).

However, if you get some profit from this or just want to encourage me to continue creating stuff, there are few ways you can do it:

  • Starring and sharing the projects you like :rocket:

  • Buy me a book—I love books! I will remember you after years if you buy me one. :grin: :book:

  • PayPal—You can make one-time donations via PayPal. I'll probably buy a coffee tea. :tea:

  • Support me on Patreon—Set up a recurring monthly donation and you will get interesting news about what I'm doing (things that I don't share with everyone).

  • Bitcoin—You can send me bitcoins at this address (or scanning the code below): 1P9BRsmazNQcuyTxEqveUsnf5CERdq35V6

Thanks! :heart:

:scroll: License

MIT © Ionică Bizău

Frequently asked questions

Is scrape-it free to use?

scrape-it is open source under the MIT licence. There is no licence fee and no seat count — you can self-host it or, where the project offers one, pay a vendor for a managed version instead.

What does scrape-it do?

🔮 A Node.js scraper for humans.

What is scrape-it written in?

scrape-it is primarily written in JavaScript. Its source is publicly available at https://github.com/IonicaBizau/scrape-it, and it has 4,069 GitHub stars.