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autoscrapervsruia

MIT 11 2 5,894
3.9 thousand (month) Jul 26 2019 1.1.14(1 year, 8 months ago)
1,731 3 8 MIT
0.8.5(1 year, 6 months ago) Oct 17 2018 469 (month)

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)

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


popularminimalisticauto-generating

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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