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scrapyvsruia

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1.6 million (month) Jul 26 2019 2.11.1(a month ago)
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0.8.5(1 year, 6 months ago) Oct 17 2018 469 (month)

Scrapy is an open-source Python library for web scraping. It allows developers to extract structured data from websites using a simple and consistent interface.

Scrapy provides:

  • A built-in way to follow links and extract data from multiple pages (crawling)
  • Handling common web scraping tasks such as logging in, handling cookies, and handling redirects.

Scrapy is built on top of the Twisted networking engine, which provides a non-blocking way to handle multiple requests at the same time, allowing Scrapy to efficiently scrape large websites.

It also comes with a built-in mechanism for handling common web scraping problems, such as:

  • handling HTTP errors
  • handling broken links

Scrapy also provide these features:

  • Support for storing scraped data in various formats, such as CSV, JSON, and XML.
  • Built-in support for selecting and extracting data using XPath or CSS selectors (through parsel).
  • Built-in support for handling common web scraping problems (like deduplication and url filtering).
  • Ability to easily extend its functionality using middlewares.
  • Ability to easily extend output processing using pipelines.

Ruia is an async web scraping micro-framework, written with asyncio and aiohttp, aims to make crawling url as convenient as possible.

Ruia is inspired by scrapy however instead of Twisted it's based entirely on asyncio and aiohttp.

It also supports various features like cookies, headers, and proxy, which makes it very useful in dealing with complex web scraping tasks.

Highlights


popularcss-selectorsxpath-selectorscommunity-toolsoutput-pipelinesmiddlewaresasyncproductionlarge-scale

Example Use


#!/usr/bin/env python
"""
 Target: https://news.ycombinator.com/
 pip install aiofiles
"""
import aiofiles

from ruia import AttrField, Item, Spider, TextField


class HackerNewsItem(Item):
    target_item = TextField(css_select="tr.athing")
    title = TextField(css_select="a.storylink")
    url = AttrField(css_select="a.storylink", attr="href")

    async def clean_title(self, value):
        return value.strip()


class HackerNewsSpider(Spider):
    start_urls = [
        "https://news.ycombinator.com/news?p=1",
        "https://news.ycombinator.com/news?p=2",
    ]
    concurrency = 10
    # aiohttp_kwargs = {"proxy": "http://0.0.0.0:1087"}

    async def parse(self, response):
        async for item in HackerNewsItem.get_items(html=await response.text()):
            yield item

    async def process_item(self, item: HackerNewsItem):
        async with aiofiles.open("./hacker_news.txt", "a") as f:
            self.logger.info(item)
            await f.write(str(item.title) + "\n")


if __name__ == "__main__":
    HackerNewsSpider.start(middleware=None)

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