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ayakashivsgracy

AGPL-3.0-only 8 1 217
166 (month) Apr 18 2019 1.0.0-beta8.4(2023-06-29 12:37:12 ago)
248 2 - MIT
Feb 05 2023 6.8 thousand (month) 1.34.0(2024-11-27 14:57:34 ago)

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.

Gracy is an API client library based on httpx that provides an extra stability layer with:

  • Retry logic
  • Logging
  • Connection throttling
  • Tracking/Middleware

In web scraping, Gracy can be a convenient tool for creating scraper based API clients.

Example Use


```javascript 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); ```
```python # 0. Import import asyncio from typing import Awaitable from gracy import BaseEndpoint, Gracy, GracyConfig, LogEvent, LogLevel # 1. Define your endpoints class PokeApiEndpoint(BaseEndpoint): GET_POKEMON = "/pokemon/{NAME}" # 👈 Put placeholders as needed # 2. Define your Graceful API class GracefulPokeAPI(Gracy[str]): class Config: # type: ignore BASE_URL = "https://pokeapi.co/api/v2/" # 👈 Optional BASE_URL # 👇 Define settings to apply for every request SETTINGS = GracyConfig( log_request=LogEvent(LogLevel.DEBUG), log_response=LogEvent(LogLevel.INFO, "{URL} took {ELAPSED}"), parser={ "default": lambda r: r.json() } ) async def get_pokemon(self, name: str) -> Awaitable[dict]: return await self.get(PokeApiEndpoint.GET_POKEMON, {"NAME": name}) # Note: since Gracy is based on httpx we can customized the used client with custom headers etc" def _create_client(self) -> httpx.AsyncClient: client = super()._create_client() client.headers = {"User-Agent": f"My Scraper"} return client pokeapi = GracefulPokeAPI() async def main(): try: pokemon = await pokeapi.get_pokemon("pikachu") print(pokemon) finally: pokeapi.report_status("rich") asyncio.run(main()) ```

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