本文实例讲述了python3爬虫爬取英雄联盟高清桌面壁纸功能。分享给大家供大家参考，具体如下：
使用scrapy爬虫抓取英雄联盟高清桌面壁纸
源码地址：https://github.com/snowyme/loldesk
开始项目前需要安装python3和scrapy，不会的自行百度，这里就不具体介绍了
首先，创建项目
|
1
|
scrapy startproject loldesk |
生成项目的目录结构
首先需要定义抓取元素，在item.py中，我们这个项目用到了图片名和链接
|
1
2
3
4
5
|
import scrapyclass loldeskitem(scrapy.item): name = scrapy.field() imgurl = scrapy.field() pass |
接下来在爬虫目录创建爬虫文件，并编写主要代码，loldesk.py
|
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
|
import scrapyfrom loldesk.items import loldeskitemclass loldeskpiderspider(scrapy.spider): name = "loldesk" allowed_domains = ["www.win4000.com"] # 抓取链接 start_urls = [ 'http://www.win4000.com/zt/lol.html' ] def parse(self, response): list = response.css(".left_bar ul li") for img in list: imgurl = img.css("a::attr(href)").extract_first() imgurl2 = str(imgurl) next_url = response.css(".next::attr(href)").extract_first() if next_url is not none: # 下一页 yield response.follow(next_url, callback=self.parse) yield scrapy.request(imgurl2, callback=self.content) def content(self, response): item = loldeskitem() item['name'] = response.css(".pic-large::attr(title)").extract_first() item['imgurl'] = response.css(".pic-large::attr(src)").extract() yield item # 判断页码 next_url = response.css(".pic-next-img a::attr(href)").extract_first() allnum = response.css(".ptitle em::text").extract_first() thisnum = next_url[-6:-5] if int(allnum) > int(thisnum): # 下一页 yield response.follow(next_url, callback=self.content) |
图片的链接和名称已经获取到了，接下来需要使用图片通道下载图片并保存到本地，pipelines.py：
|
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
|
from scrapy.pipelines.images import imagespipelinefrom scrapy.exceptions import dropitemfrom scrapy.http import requestimport reclass myimagespipeline(imagespipeline): def get_media_requests(self, item, info): for image_url in item['imgurl']: yield request(image_url,meta={'item':item['name']}) def file_path(self, request, response=none, info=none): name = request.meta['item'] name = re.sub(r'[？\\*|“<>:/()0123456789]', '', name) image_guid = request.url.split('/')[-1] filename = u'full/{0}/{1}'.format(name, image_guid) return filename def item_completed(self, results, item, info): image_path = [x['path'] for ok, x in results if ok] if not image_path: raise dropitem('item contains no images') item['image_paths'] = image_path return item |
最后在settings.py中设置存储目录并开启通道：
|
1
2
3
4
5
6
|
# 设置图片存储路径images_store = 'f:/python/loldesk'#启动pipeline中间件item_pipelines = { 'loldesk.pipelines.myimagespipeline': 300,} |
在根目录下运行程序：
|
1
|
scrapy crawl loldesk |
大功告成！！！一共抓取到128个文件夹
希望本文所述对大家python程序设计有所帮助。
原文链接：https://blog.csdn.net/ziwoods/article/details/84321188
