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feapder是一款支持分布式、批次采集、任务防丢、报警丰富的python爬虫框架

Project description

FEAPDER

简介

feapder 是一款上手简单,功能强大的Python爬虫框架,使用方式类似scrapy,方便由scrapy框架切换过来,框架内置3种爬虫:

  • AirSpider爬虫比较轻量,学习成本低。面对一些数据量较少,无需断点续爬,无需分布式采集的需求,可采用此爬虫。

  • Spider是一款基于redis的分布式爬虫,适用于海量数据采集,支持断点续爬、爬虫报警、数据自动入库等功能

  • BatchSpider是一款分布式批次爬虫,对于需要周期性采集的数据,优先考虑使用本爬虫。

feapder支持断点续爬数据防丢监控报警浏览器渲染下载、数据自动入库MysqlMongo,还可通过编写pipeline对接其他存储

读音: [ˈfiːpdə]

环境要求:

  • Python 3.6.0+
  • Works on Linux, Windows, macOS

安装

From PyPi:

通用版

pip3 install feapder

完整版:

pip3 install feapder[all]

通用版与完整版区别:

  1. 完整版支持基于内存去重

完整版可能会安装出错,若安装出错,请参考安装问题

小试一下

创建爬虫

feapder create -s first_spider

创建后的爬虫代码如下:

import feapder


class FirstSpider(feapder.AirSpider):
    def start_requests(self):
        yield feapder.Request("https://www.baidu.com")

    def parse(self, request, response):
        print(response)


if __name__ == "__main__":
    FirstSpider().start()

直接运行,打印如下:

Thread-2|2021-02-09 14:55:11,373|request.py|get_response|line:283|DEBUG|
                -------------- FirstSpider.parse request for ----------------
                url  = https://www.baidu.com
                method = GET
                body = {'timeout': 22, 'stream': True, 'verify': False, 'headers': {'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/27.0.1453.93 Safari/537.36'}}

<Response [200]>
Thread-2|2021-02-09 14:55:11,610|parser_control.py|run|line:415|DEBUG| parser 等待任务 ...
FirstSpider|2021-02-09 14:55:14,620|air_spider.py|run|line:80|INFO| 无任务,爬虫结束

代码解释如下:

  1. start_requests: 生产任务
  2. parse: 解析数据

相关文章

使用feapder开发爬虫是一种怎样的体验

爬虫 | 如何快速的将请求头转为json格式

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