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ayakashivsautoscraper

AGPL-3.0-only 8 1 195
68 (month) Apr 18 2019 1.0.0-beta8.4(9 months ago)
5,894 2 11 MIT
1.1.14(1 year, 8 months ago) Jul 26 2019 3.9 thousand (month)

Ayakashi is a web scraping library for Node.js that allows developers to easily extract structured data from websites. It is built on top of the popular "puppeteer" library and provides a simple and intuitive API for defining and querying the structure of a website.

Features:

  • Powerful querying and data models
    Ayakashi's way of finding things in the page and using them is done with props and domQL. Directly inspired by the relational database world (and SQL), domQL makes DOM access easy and readable no matter how obscure the page's structure is. Props are the way to package domQL expressions as re-usable structures which can then be passed around to actions or to be used as models for data extraction.
  • High level builtin actions
    Ready made actions so you can focus on what matters. Easily handle infinite scrolling, single page navigation, events and more. Plus, you can always build your own actions, either from scratch or by composing other actions.
  • Preload code on pages
    Need to include a bunch of code, a library you made or a 3rd party module and make it available on a page? Preloaders have you covered.

Autoscraper project is made for automatic web scraping to make scraping easy. It gets a url or the html content of a web page and a list of sample data which we want to scrape from that page. This data can be text, url or any html tag value of that page. It learns the scraping rules and returns the similar elements. Then you can use this learned object with new urls to get similar content or the exact same element of those new pages.

Autoscraper is minimalistic and auto-generative approach to web scraping. For example, here's a scraper that finds all titles on a stackoverflow.com page:

from autoscraper import AutoScraper

url = 'https://stackoverflow.com/questions/2081586/web-scraping-with-python'

# We can add one or multiple candidates here.
# You can also put urls here to retrieve urls.
wanted_list = ["What are metaclasses in Python?"]

scraper = AutoScraper()
result = scraper.build(url, wanted_list)
print(result)

Highlights


popularminimalisticauto-generating

Example Use


const ayakashi = require("ayakashi");
const myAyakashi = ayakashi.init();

// navigate the browser
await myAyakashi.goTo("https://example.com/product");

// parsing HTML
// first by defnining a selector
myAyakashi
    .select("productList")
    .where({class: {eq: "product-item"}});

// then executing selector on current HTML:
const productList = await myAyakashi.extract("productList");
console.log(productList);

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