scrapedogg v1.1.2

About

ScrapeDogg is an experimental library for scraping websites using OpenAI's GPT.

The library provides a means to scrape structured data from HTML without writing page-specific code.

⚠️ "Important" ⚠️

Before you proceed, here are at least two reasons why you should not use this library:

* It is **very experimental**, no guarantees are made about the stability of the API or the accuracy of the results.

* It relies on the OpenAI API, which is quite slow and can be expensive. 

**Use at your own risk.**

Quickstart

Step 1) Obtain an OpenAI API key (https://platform.openai.com) and set an environment variable in the .env file:

OPENAI_API_KEY=sk-...

Step 2) Install the library however you like:

npm install scrapedogg

or

yarn add scrapedogg

Step3) Initialize a URL and a Schema by indicating the data you wish to extract:

let url = "https://books.toscrape.com/catalogue/a-light-in-the-attic_1000/index.html";
let schema = {
  title: "string",
  book_cover: "url",
  url: "url",
  price: "string",
  stock: "int",
  rating: "int/int stars",
  description: "string",
};

Step 4) Passing the scraper a URL to the resulting scraper will return the scraped data in the console:

(async () => {
  console.log(await scrape(url, schema))
})();

{
    "title": "A Light in the Attic",
    "book_cover": "https://books.toscrape.com/media/cache/fe/72/fe72f0532301ec28892ae79a629a293c.jpg",
    "url": "https://books.toscrape.com/catalogue/a-light-in-the-attic_1000/index.html",
    "price": "£51.77",
    "stock": 22,
    "rating": "3/5 stars",
    "description": "It's hard to imagine a world without A Light in the Attic. This now-classic collection of poetry and drawings from Shel Silverstein celebrates its 20th anniversary with this special edition. ...more"
}

That's it! 🎉

Prerequisites

This project requires NodeJS (version 8 or later) and NPM. Node and NPM are really easy to install. To make sure you have them available on your machine, try running the following command.

$ npm -v && node -v
6.4.1
v8.16.0

Install

npm install ScrapeDogg

Run tests

npm run test

Contributing

1. Fork it!
2. Create your feature branch: git checkout -b my-new-feature
3. Add your changes: git add .
4. Commit your changes: git commit -am 'Add some feature'
5. Push to the branch: git push origin my-new-feature
6. Submit a pull request 😎

Credits

• scrapeghost
  • Huge Thanks to scrapeghost for inspiring me to make this idea in JS, Go check out their python version, Thanks!

Show your support

Give a ⭐️ if this project helped you!