大家可以在Github上clone全部源码。
Github:/williamzxl/Scrapy_CrawlMeiziTu
Scrapy官方文档:http://scrapy-chs.readthedocs.io/zh_CN/latest/index.html
基本上按照文档的流程走一遍就基本会用了。
Step1:
在开始爬取之前,必须创建一个新的Scrapy项目。 进入打算存储代码的目录中,运行下列命令:
scrapy startproject CrawlMeiziTu
该命令将会创建包含下列内容的tutorial
目录:
CrawlMeiziTu/scrapy.cfgCrawlMeiziTu/ __init__.py items.py pipelines.py settings.py
middlewares.py spiders/ __init__.py ...
cd CrawlMeiziTu
scrapy genspider Meizitu /a/list_1_1.html
该命令将会创建包含下列内容的tutorial
目录:
CrawlMeiziTu/scrapy.cfgCrawlMeiziTu/
__init__.py items.py pipelines.py settings.py
middlewares.py spiders/
Meizitu.py __init__.py ...
我们主要编辑的就如下图箭头所示:
main.py是后来加上的,加了两条命令,
1 from scrapy import cmdline2 3 cmdline.execute("scrapy crawl Meizitu".split())
主要为了方便运行。
Step2:编辑Settings,如下图所示
1 BOT_NAME = 'CrawlMeiziTu' 2 3 SPIDER_MODULES = ['CrawlMeiziTu.spiders'] 4 NEWSPIDER_MODULE = 'CrawlMeiziTu.spiders' 5 ITEM_PIPELINES = { 6 'CrawlMeiziTu.pipelines.CrawlmeizituPipeline': 300, 7 } 8 IMAGES_STORE = 'D://pic2' 9 DOWNLOAD_DELAY = 0.310 11 USER_AGENT = 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36'12 ROBOTSTXT_OBEY = True
主要设置USER_AGENT,下载路径,下载延迟时间
Step3:编辑Items.
Items主要用来存取通过Spider程序抓取的信息。由于我们爬取妹子图,所以要抓取每张图片的名字,图片的连接,标签等等
# -*- coding: utf-8 -*-# Define here the models for your scraped items## See documentation in:# /en/latest/topics/items.htmlimport scrapyclass CrawlmeizituItem(scrapy.Item):# define the fields for your item here like:# name = scrapy.Field()#title为文件夹名字title = scrapy.Field()url = scrapy.Field()tags = scrapy.Field()#图片的连接src = scrapy.Field()#alt为图片名字alt = scrapy.Field()
Step4:编辑Pipelines
Pipelines主要对items里面获取的信息进行处理。比如说根据title创建文件夹或者图片的名字,根据图片链接下载图片。
# -*- coding: utf-8 -*-import osimport requestsfrom CrawlMeiziTu.settings import IMAGES_STOREclass CrawlmeizituPipeline(object):def process_item(self, item, spider):fold_name = "".join(item['title'])header = {'USER-Agent': 'User-Agent:Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36','Cookie': 'b963ef2d97e050aaf90fd5fab8e78633',#需要查看图片的cookie信息,否则下载的图片无法查看 }images = []# 所有图片放在一个文件夹下dir_path = '{}'.format(IMAGES_STORE)if not os.path.exists(dir_path) and len(item['src']) != 0:os.mkdir(dir_path)if len(item['src']) == 0:with open('..//check.txt', 'a+') as fp:fp.write("".join(item['title']) + ":" + "".join(item['url']))fp.write("\n")for jpg_url, name, num in zip(item['src'], item['alt'],range(0,100)):file_name = name + str(num)file_path = '{}//{}'.format(dir_path, file_name)images.append(file_path)if os.path.exists(file_path) or os.path.exists(file_name):continuewith open('{}//{}.jpg'.format(dir_path, file_name), 'wb') as f:req = requests.get(jpg_url, headers=header)f.write(req.content)return item
Step5:编辑Meizitu的主程序。
最重要的主程序:
# -*- coding: utf-8 -*-import scrapyfrom CrawlMeiziTu.items import CrawlmeizituItem#from CrawlMeiziTu.items import CrawlmeizituItemPageimport timeclass MeizituSpider(scrapy.Spider):name = "Meizitu"#allowed_domains = ["/"]start_urls = []last_url = []with open('..//url.txt', 'r') as fp:crawl_urls = fp.readlines()for start_url in crawl_urls:last_url.append(start_url.strip('\n'))start_urls.append("".join(last_url[-1]))def parse(self, response):selector = scrapy.Selector(response)#item = CrawlmeizituItemPage()next_pages = selector.xpath('//*[@id="wp_page_numbers"]/ul/li/a/@href').extract()next_pages_text = selector.xpath('//*[@id="wp_page_numbers"]/ul/li/a/text()').extract()all_urls = []if '下一页' in next_pages_text:next_url = "/a/{}".format(next_pages[-2])with open('..//url.txt', 'a+') as fp:fp.write('\n')fp.write(next_url)fp.write("\n")request = scrapy.http.Request(next_url, callback=self.parse)time.sleep(2)yield requestall_info = selector.xpath('//h3[@class="tit"]/a')#读取每个图片夹的连接for info in all_info:links = info.xpath('//h3[@class="tit"]/a/@href').extract()for link in links:request = scrapy.http.Request(link, callback=self.parse_item)time.sleep(1)yield request# next_link = selector.xpath('//*[@id="wp_page_numbers"]/ul/li/a/@href').extract()# next_link_text = selector.xpath('//*[@id="wp_page_numbers"]/ul/li/a/text()').extract()# if '下一页' in next_link_text:#nextPage = "/a/{}".format(next_link[-2])#item['page_url'] = nextPage#yield item#抓取每个文件夹的信息def parse_item(self, response):item = CrawlmeizituItem()selector = scrapy.Selector(response)image_title = selector.xpath('//h2/a/text()').extract()image_url = selector.xpath('//h2/a/@href').extract()image_tags = selector.xpath('//div[@class="metaRight"]/p/text()').extract()if selector.xpath('//*[@id="picture"]/p/img/@src').extract():image_src = selector.xpath('//*[@id="picture"]/p/img/@src').extract()else:image_src = selector.xpath('//*[@id="maincontent"]/div/p/img/@src').extract()if selector.xpath('//*[@id="picture"]/p/img/@alt').extract():pic_name = selector.xpath('//*[@id="picture"]/p/img/@alt').extract()else:pic_name = selector.xpath('//*[@id="maincontent"]/div/p/img/@alt').extract()#//*[@id="maincontent"]/div/p/img/@altitem['title'] = image_titleitem['url'] = image_urlitem['tags'] = image_tagsitem['src'] = image_srcitem['alt'] = pic_nameprint(item)time.sleep(1)yield item