我不知道问题出在哪里可能非常容易修复,因为我不熟悉scrapy。谢谢你的帮助!
我的蜘蛛:
from scrapy.spiders import CrawlSpider, Rule
from scrapy.selector import HtmlXPathSelector
from scrapy.linkextractors import LinkExtractor
from scrapy.item import Item
class ArticleSpider(CrawlSpider):
name = "article"
allowed_domains = ["economist.com"]
start_urls = ['http://www.economist.com/sections/science-technology']
rules = [
Rule(LinkExtractor(restrict_xpaths='//article'), callback='parse_item', follow=True),
]
def parse_item(self, response):
for sel in response.xpath('//div/article'):
item = scrapy.Item()
item ['title'] = sel.xpath('a/text()').extract()
item ['link'] = sel.xpath('a/@href').extract()
item ['desc'] = sel.xpath('text()').extract()
return item
产品:
import scrapy
class EconomistItem(scrapy.Item):
title = scrapy.Field()
link = scrapy.Field()
desc = scrapy.Field()
日志的一部分:
INFO: Crawled 0 pages (at 0 pages/min), scraped 0 items (at 0 items/min)
Crawled (200) <GET http://www.economist.com/sections/science-technology> (referer: None)
编辑:
我添加了alecxe提出的更改后发生了另一个问题:
日志:
[scrapy] DEBUG: Crawled (200) <GET http://www.economist.com/news/science-and-technology/21688848-stem-cells-are-starting-prove-their-value-medical-treatments-curing-multiple> (referer: http://www.economist.com/sections/science-technology)
2016-02-04 14:05:01 [scrapy] DEBUG: Crawled (200) <GET http://www.economist.com/news/science-and-technology/21689501-beating-go-champion-machine-learning-computer-says-go> (referer: http://www.economist.com/sections/science-technology)
2016-02-04 14:05:02 [scrapy] ERROR: Spider error processing <GET http://www.economist.com/news/science-and-technology/21688848-stem-cells-are-starting-prove-their-value-medical-treatments-curing-multiple> (referer: http://www.economist.com/sections/science-technology)
Traceback (most recent call last):
File "/usr/local/lib/python2.7/site-packages/scrapy/utils/defer.py", line 102, in iter_errback
yield next(it)
File "/usr/local/lib/python2.7/site-packages/scrapy/spidermiddlewares/offsite.py", line 28, in process_spider_output
for x in result:
File "/usr/local/lib/python2.7/site-packages/scrapy/spidermiddlewares/referer.py", line 22, in <genexpr>
return (_set_referer(r) for r in result or ())
File "/usr/local/lib/python2.7/site-packages/scrapy/spidermiddlewares/urllength.py", line 37, in <genexpr>
return (r for r in result or () if _filter(r))
File "/usr/local/lib/python2.7/site-packages/scrapy/spidermiddlewares/depth.py", line 54, in <genexpr>
return (r for r in result or () if _filter(r))
File "/usr/local/lib/python2.7/site-packages/scrapy/spiders/crawl.py", line 67, in _parse_response
cb_res = callback(response, **cb_kwargs) or ()
File "/Users/FvH/Desktop/Python/projects/economist/economist/spiders/article.py", line 18, in parse_item
item = scrapy.Item()
NameError: global name 'scrapy' is not defined
设定:
BOT_NAME = 'economist'
SPIDER_MODULES = ['economist.spiders']
NEWSPIDER_MODULE = 'economist.spiders'
USER_AGENT = "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.97 Safari/537.36"
如果我想将数据导出到csv文件中,那么它显然是空的。
由于
答案 0 :(得分:2)
parse_item
未正确缩进,应为:
class ArticleSpider(CrawlSpider):
name = "article"
allowed_domains = ["economist.com"]
start_urls = ['http://www.economist.com/sections/science-technology']
rules = [
Rule(LinkExtractor(allow=r'Items'), callback='parse_item', follow=True),
]
def parse_item(self, response):
for sel in response.xpath('//div/article'):
item = scrapy.Item()
item ['title'] = sel.xpath('a/text()').extract()
item ['link'] = sel.xpath('a/@href').extract()
item ['desc'] = sel.xpath('text()').extract()
return item
除此之外还有两点需要解决:
应修改链接提取部分以匹配文章链接:
Rule(LinkExtractor(restrict_xpaths='//article'), callback='parse_item', follow=True),
您需要指定USER_AGENT
setting假装是真正的浏览器。否则,response
将不包含文章列表:
USER_AGENT = "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.97 Safari/537.36"
答案 1 :(得分:0)
您只导入了Item(并非所有scrapy模块):
from scrapy.item import Item
所以不要在这里使用scrapy.Item:
for sel in response.xpath('//div/article'):
item = scrapy.Item()
item ['title'] = sel.xpath('a/text()').extract()
你应该只使用Item:
for sel in response.xpath('//div/article'):
item = Item()
item ['title'] = sel.xpath('a/text()').extract()
或者导入您自己的项目以便使用它。这应该工作(不要忘记将project_name替换为项目名称):
from project_name.items import EconomistItem
...
for sel in response.xpath('//div/article'):
item = EconomistItem()
item ['title'] = sel.xpath('a/text()').extract()