scrapy爬虫下载图片

items.py

class CoserItem(scrapy.Item):
    url = scrapy.Field()
    name = scrapy.Field()
    info = scrapy.Field()
    image_urls = scrapy.Field()
    images = scrapy.Field()

spiders/coser.py

# -*- coding: utf-8 -*-
from scrapy.selector import Selector
import scrapy
from scrapy.contrib.loader import ItemLoader
from Cosplay.items import CoserItem


class CoserSpider(scrapy.Spider):
    name = "coser"
    allowed_domains = ["bcy.net"]
    start_urls = (
        'http://bcy.net/cn125101',
        'http://bcy.net/cn126487',
        'http://bcy.net/cn126173'
    )

    def parse(self, response):
        sel = Selector(response)

        for link in sel.xpath("//ul[@class='js-articles l-works']/li[@class='l-work--big']/article[@class='work work--second-created']/h2[@class='work__title']/a/@href").extract():
            link = 'http://bcy.net%s' % link
            request = scrapy.Request(link, callback=self.parse_item)
            yield request

    def parse_item(self, response):
        l = ItemLoader(item=CoserItem(), response=response)
        l.add_xpath('name', "//h1[@class='js-post-title']/text()")
        l.add_xpath('info', "//div[@class='post__info']/div[@class='post__type post__info-group']/span/text()")
        urls = l.get_xpath('//img[@class="detail_std detail_clickable"]/@src')
        urls = [url.replace('/w650', '') for url in urls]
        l.add_value('image_urls', urls)
        l.add_value('url', response.url)

        return l.load_item()

pipelines.py

import requests
from Cosplay import settings
import os


class ImageDownloadPipeline(object):
    def process_item(self, item, spider):
        if 'image_urls' in item:
            images = []
            dir_path = '%s/%s' % (settings.IMAGES_STORE, spider.name)

            if not os.path.exists(dir_path):
                os.makedirs(dir_path)
            for image_url in item['image_urls']:
                us = image_url.split('/')[3:]
                image_file_name = '_'.join(us)
                file_path = '%s/%s' % (dir_path, image_file_name)
                images.append(file_path)
                if os.path.exists(file_path):
                    continue

                with open(file_path, 'wb') as handle:
                    response = requests.get(image_url, stream=True)
                    for block in response.iter_content(1024):
                        if not block:
                            break

                        handle.write(block)

            item['images'] = images
        return item

settings.py

ITEM_PIPELINES = {'Cosplay.pipelines.ImageDownloadPipeline': 1}

IMAGES_STORE = '../Images'

DOWNLOAD_DELAY = 0.25    # 250 ms of delay

在项目根目录下新建main.py文件,用于调试

from scrapy import cmdline
cmdline.execute('scrapy crawl coser'.split())

执行程序

标签: 无

发表评论:

whatsapp营销