感谢您的回答。我最终像这样使用了你的 xPath:
import scrapy
from scrapy.spiders import CrawlSpider, Rule
from scrapy.linkextractors import LinkExtractor
from crawler.items import MovieItem
IMDB_URL = "http://imdb.com"
class IMDBSpider(CrawlSpider):
name = 'imdb'
# in order to move the next page
rules = (Rule(LinkExtractor(allow=(), restrict_xpaths=("//div[@class='nav']/div/a[@class='lister-page-next next-page']",)),
callback="parse_page", follow= True),)
def __init__(self, start=None, end=None, *args, **kwargs):
super(IMDBSpider, self).__init__(*args, **kwargs)
self.start_year = int(start) if start else 1874
self.end_year = int(end) if end else 2017
# generate start_urls dynamically
def start_requests(self):
for year in range(self.start_year, self.end_year+1):
# movies are sorted by number of votes
yield scrapy.Request('http://www.imdb.com/search/title?year={year},{year}&title_type=feature&sort=num_votes,desc'.format(year=year))
def parse_page(self, response):
content = response.xpath("//div[@class='lister-item-content']")
paths = content.xpath("h3[@class='lister-item-header']/a/@href").extract() # list of paths of movies in the current page
# all movies in this page
for path in paths:
item = MovieItem()
item['MainPageUrl'] = IMDB_URL + path
request = scrapy.Request(item['MainPageUrl'], callback=self.parse_movie_details)
request.meta['item'] = item
yield request
# make sure that the start_urls are parsed as well
parse_start_url = parse_page
def parse_movie_details(self, response):
pass # lots of parsing....
使用scrapy crawl imdb -a start=<start-year> -a end=<end-year> 运行它