爬取名人名言：http://quotes.toscrape.com/
1 创建爬虫项目，在终端中输入：
scrapy startproject quotes
2 创建之后，在spiders文件夹下面创建爬虫文件quotes.py，内容如下：
import scrapy
from scrapy.spiders import CrawlSpider, Rule
from scrapy.linkextractors import LinkExtractorclass Quotes(CrawlSpider):name = "quotes"allowed_domains = ["quotes.toscrape.com"]start_urls = ['http://quotes.toscrape.com/']rules = (Rule(LinkExtractor(allow='/page/\d+'), callback='parse_quotes', follow=True),Rule(LinkExtractor(allow='/author/\w+'), callback='parse_author'))def parse_quotes(self, response):for quote in response.css('quote'):yield {'content': quote.css('.text::text').extract_first(),'author': quote.css('.author::text').extract_first(),'tags': quote.css('.tag::text').extract_first()}def parse_author(selfself, response):name = response.css('.author-title::text').extract_first()author_born_date = response.css('.author-born-date::text').extract_first()author_born_location = response.css('.author-born-location::text').extract_first()author_description = response.css('.author-description::text').extract_first()return ({'name': name,'author_born_date': author_born_date,'author_born_location': author_born_location,'author_description': author_description})
目录结构如下：
3 运行爬虫
在终端中执行scrapy crawl quotes，结果如图所示：
到此，一个简单的爬虫就完成了。
