<分区>
我已经编写了一个 Scrapy 蜘蛛，我试图从位于另一个目录中的 python 脚本运行它。我使用的代码来自 docs似乎在运行蜘蛛，但是当我检查 postgresql 表时，它还没有被创建。如果我使用 scrapy crawl 命令，蜘蛛只会正确地管道化抓取的数据。我试过将脚本放在 scrapy 项目正上方的目录中，也放在与配置文件相同的目录中，但似乎都没有创建表。
下面是脚本的代码，后面是蜘蛛的代码。我认为问题涉及脚本应该放置的目录和/或我在蜘蛛文件中使用的代码，以使蜘蛛能够从脚本运行，但我不确定。脚本中调用的函数看起来是否有问题，或者设置文件中是否需要更改某些内容？如果需要，我可以提供管道文件的代码，谢谢。
脚本文件(只有3行)
from ticket_city_scraper import *
from ticket_city_scraper.spiders import tc_spider
tc_spider.spiderCrawl()
蜘蛛文件
import scrapy
import re
import json
from scrapy.crawler import CrawlerProcess
from scrapy import Request
from scrapy.contrib.spiders import CrawlSpider , Rule
from scrapy.selector import HtmlXPathSelector
from scrapy.selector import Selector
from scrapy.contrib.loader import ItemLoader
from scrapy.contrib.loader import XPathItemLoader
from scrapy.contrib.loader.processor import Join, MapCompose
from ticket_city_scraper.items import ComparatorItem
from urlparse import urljoin
from scrapy.utils.project import get_project_settings
from scrapy.crawler import CrawlerRunner
from twisted.internet import reactor, defer
from scrapy.utils.log import configure_logging
bandname = raw_input("Enter bandname\n")
tc_url = "https://www.ticketcity.com/concerts/" + bandname + "-tickets.html"
class MySpider3(CrawlSpider):
handle_httpstatus_list = [416]
name = 'comparator'
allowed_domains = ["www.ticketcity.com"]
start_urls = [tc_url]
tickets_list_xpath = './/div[@class = "vevent"]'
def create_link(self, bandname):
tc_url = "https://www.ticketcity.com/concerts/" + bandname + "-tickets.html"
self.start_urls = [tc_url]
#return tc_url
tickets_list_xpath = './/div[@class = "vevent"]'
def parse_json(self, response):
loader = response.meta['loader']
jsonresponse = json.loads(response.body_as_unicode())
ticket_info = jsonresponse.get('B')
price_list = [i.get('P') for i in ticket_info]
if len(price_list) > 0:
str_Price = str(price_list[0])
ticketPrice = unicode(str_Price, "utf-8")
loader.add_value('ticketPrice', ticketPrice)
else:
ticketPrice = unicode("sold out", "utf-8")
loader.add_value('ticketPrice', ticketPrice)
return loader.load_item()
def parse_price(self, response):
print "parse price function entered \n"
loader = response.meta['loader']
event_City = response.xpath('.//span[@itemprop="addressLocality"]/text()').extract()
eventCity = ''.join(event_City)
loader.add_value('eventCity' , eventCity)
event_State = response.xpath('.//span[@itemprop="addressRegion"]/text()').extract()
eventState = ''.join(event_State)
loader.add_value('eventState' , eventState)
event_Date = response.xpath('.//span[@class="event_datetime"]/text()').extract()
eventDate = ''.join(event_Date)
loader.add_value('eventDate' , eventDate)
ticketsLink = loader.get_output_value("ticketsLink")
json_id_list= re.findall(r"(\d+)[^-]*$", ticketsLink)
json_id= "".join(json_id_list)
json_url = "https://www.ticketcity.com/Catalog/public/v1/events/" + json_id + "/ticketblocks?P=0,99999999&q=0&per_page=250&page=1&sort=p.asc&f.t=s&_=1436642392938"
yield scrapy.Request(json_url, meta={'loader': loader}, callback = self.parse_json, dont_filter = True)
def parse(self, response):
"""
# """
selector = HtmlXPathSelector(response)
# iterate over tickets
for ticket in selector.select(self.tickets_list_xpath):
loader = XPathItemLoader(ComparatorItem(), selector=ticket)
# define loader
loader.default_input_processor = MapCompose(unicode.strip)
loader.default_output_processor = Join()
# iterate over fields and add xpaths to the loader
loader.add_xpath('eventName' , './/span[@class="summary listingEventName"]/text()')
loader.add_xpath('eventLocation' , './/div[@class="divVenue location"]/text()')
loader.add_xpath('ticketsLink' , './/a[@class="divEventDetails url"]/@href')
#loader.add_xpath('eventDateTime' , '//div[@id="divEventDate"]/@title') #datetime type
#loader.add_xpath('eventTime' , './/*[@class = "productionsTime"]/text()')
print "Here is ticket link \n" + loader.get_output_value("ticketsLink")
#sel.xpath("//span[@id='PractitionerDetails1_Label4']/text()").extract()
ticketsURL = "https://www.ticketcity.com/" + loader.get_output_value("ticketsLink")
ticketsURL = urljoin(response.url, ticketsURL)
yield scrapy.Request(ticketsURL, meta={'loader': loader}, callback = self.parse_price, dont_filter = True)
def spiderCrawl():
process = CrawlerProcess({
'USER_AGENT': 'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1)'
})
process.crawl(MySpider3)
process.start()