scrapy--matplotlib

　　昨天晚上看了一些关于保存文件的相关资料,早早的睡了,白天根据网上查找的资料,自己再捡起来.弄了一上午就爬取出来了,开心!!!好吧,让我们开始

老规矩,先上图。大家也赶快行动起来

分类文件:

文件内coding.py

1.matlib.py

# -*- coding: utf-8 -*-
import scrapy
from scrapy.linkextractors import LinkExtractor
from Matlib.items import MatlibItem
import pdb

class MatlibSpider(scrapy.Spider):
    name = 'matlib'
    allowed_domains = ['matplotlib.org']
    start_urls = ['https://matplotlib.org/examples/index.html']

    def parse(self, response):
        #le = LinkExtractor(restrict_css='div.toctree-wrapper.compound li.toctree-l2')
        le = LinkExtractor(restrict_css='div.toctree-wrapper.compound li.toctree-l1', deny='/index.html$')
        for link in le.extract_links(response):
            yield scrapy.Request(link.url,callback=self.parse_url)

    def parse_url(self,response):
        sel = response.css('a.reference.external::attr(href)').extract()[0]
        url = response.urljoin(sel)
        mpl = MatlibItem()
        #mpl['files_url'] = [url]
        #pdb.set_trace()
        mpl['files_url'] = url.encode('utf-8')
        #return mpl
        yield mpl

2.items.py

import scrapy

class MatlibItem(scrapy.Item):

    files_url = scrapy.Field()
    files     = scrapy.Field()

3.pipelines.py# -*- coding: utf-8 -*-

# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://doc.scrapy.org/en/latest/topics/item-pipeline.html

import scrapy
from scrapy.pipelines.files import FilesPipeline
import urlparse
from os.path import basename,dirname,join
import pdb


class MyFilePipeline(FilesPipeline):

    def get_media_requests(self,item,info):    #调用这个方法,爬虫才能保存文件!!
        #for file in item['files_url']:
            #yield scrapy.Request(file.encode('utf-8'))
        yield scrapy.Request(item['files_url'])
　　

    '''
    def file_path(self, request, response=None, info=None):    #重写文件名,和路径
        split_url = str(request.url).split('/')
        kind_name = split_url[-2]
        file_name = split_url[-1]
        return '%s/%s' % (kind_name, file_name)
    '''
    def file_path(self,request,response=None,info=None):
        path=urlparse.urlparse(request.url).path
　　　　 return join(basename(dirname(path)),basename(path))

 

4.settings.py(其他和我之前发表的一样,大家可以去查找下)

ITEM_PIPELINES = {
    #'Matlib.pipelines.MatlibPipeline': 200,
    'Matlib.pipelines.MyFilePipeline': 2,
    #'scrapy.pipelines.files.FilesPipeline': 1,
}

遇到的问题:

　　1.matlib.py

　　　　1.url = response.urljoin(sel) :url需要解码才能在pipelines.py/scrapy.Request(item[''files_url]) 中运行下载

　　2.pipelines.py:

　　　　1.未重写文件名,会自动保存为checksum名,

　　　　　　'checksum': '715610c4375a1d749bc26b39cf7e7199',
　　　　　　'path': 'animation/bayes_update.py',
　　　　　　'url': 'https://matplotlib.org/examples/animation/bayes_update.py'}],

　　　　2.def get_media_requests(self,item,info): 调用这个函数,文件才能下载!!!看其他人重写路径的时候,没有调用这个函数,误导了我很久

如果有小伙伴,遇到了其他问题,欢迎留言,大家一起进步