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geziyorvsruia

MPL-2.0 23 1 2,470
Jun 06 2019 2024-04-04(a day ago)
1,731 3 8 MIT
0.8.5(1 year, 6 months ago) Oct 17 2018 469 (month)

Geziyor is a blazing fast web crawling and web scraping framework. It can be used to crawl websites and extract structured data from them. Geziyor is useful for a wide range of purposes such as data mining, monitoring and automated testing.

Features:

  • JS Rendering
  • 5.000+ Requests/Sec
  • Caching (Memory/Disk/LevelDB)
  • Automatic Data Exporting (JSON, CSV, or custom)
  • Metrics (Prometheus, Expvar, or custom)
  • Limit Concurrency (Global/Per Domain)
  • Request Delays (Constant/Randomized)
  • Cookies, Middlewares, robots.txt
  • Automatic response decoding to UTF-8
  • Proxy management (Single, Round-Robin, Custom)

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.

Example Use


// This example extracts all quotes from quotes.toscrape.com and exports to JSON file.
func main() {
    geziyor.NewGeziyor(&geziyor.Options{
        StartURLs: []string{"http://quotes.toscrape.com/"},
        ParseFunc: quotesParse,
        Exporters: []export.Exporter{&export.JSON{}},
    }).Start()
}

func quotesParse(g *geziyor.Geziyor, r *client.Response) {
    r.HTMLDoc.Find("div.quote").Each(func(i int, s *goquery.Selection) {
        g.Exports <- map[string]interface{}{
            "text":   s.Find("span.text").Text(),
            "author": s.Find("small.author").Text(),
        }
    })
    if href, ok := r.HTMLDoc.Find("li.next > a").Attr("href"); ok {
        g.Get(r.JoinURL(href), quotesParse)
    }
}
#!/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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