【发布时间】:2017-07-17 23:15:59
【问题描述】:
我花了很多时间尝试用 scrapy 抓取信息但没有成功。 我的目标是浏览类别并为每个项目抓取标题、价格和标题的 href 链接。
问题似乎来自 parse_items 函数。我已经用 firepath 检查了 xpath,我可以根据需要选择项目,所以也许我只是不知道 scrapy 如何处理 xpath...
这是我的代码
from scrapy.contrib.spiders import CrawlSpider, Rule
from scrapy.linkextractors import LinkExtractor
from scrapy.selector import Selector
from ..items import electronic_Item
class robot_makerSpider(CrawlSpider):
name = "robot_makerSpider"
allowed_domains = ["robot-maker.com"]
start_urls = [
"http://www.robot-maker.com/shop/",
]
rules = (
Rule(LinkExtractor(
allow=(
"http://www.robot-maker.com/shop/12-kits-robots",
"http://www.robot-maker.com/shop/36-kits-debutants-arduino",
"http://www.robot-maker.com/shop/13-cartes-programmables",
"http://www.robot-maker.com/shop/14-shields",
"http://www.robot-maker.com/shop/15-capteurs",
"http://www.robot-maker.com/shop/16-moteurs-et-actionneurs",
"http://www.robot-maker.com/shop/17-drivers-d-actionneurs",
"http://www.robot-maker.com/shop/18-composants",
"http://www.robot-maker.com/shop/20-alimentation",
"http://www.robot-maker.com/shop/21-impression-3d",
"http://www.robot-maker.com/shop/27-outillage",
),
),
callback='parse_items',
),
)
def parse_items(self, response):
hxs = Selector(response)
products = hxs.xpath("//div[@id='center_column']/ul/li")
items = []
for product in products:
item = electronic_Item()
item['title'] = product.xpath(
"li[1]/div/div/div[2]/h2/a/text()").extract()
item['price'] = product.xpath(
"div/div/div[3]/div/div[1]/span[1]/text()").extract()
item['url'] = product.xpath(
"li[1]/div/div/div[2]/h2/a/@href").extract()
#check that all field exist
if item['title'] and item['price'] and item['url']:
items.append(item)
return items
感谢您的帮助
【问题讨论】: