【发布时间】:2015-06-16 15:05:06
【问题描述】:
我想从我的脚本中运行 Scrapy Spider,但它仅适用于 1 个请求。我无法执行来自scrapy.http.Request(product_url, callback=self.parse_product) 的过程self.parse_product。
我猜是由于命令crawler.signals.connect(callback, signal=signals.spider_closed)。请告知如何正确浏览所有链接和子链接。
整个脚本如下所示。
import json
import scrapy
from scrapy.crawler import Crawler
from scrapy.contrib.loader import ItemLoader
from scrapy.contrib.loader.processor import Join, MapCompose, TakeFirst
from scrapy import log, signals, Spider, Item, Field
from scrapy.settings import Settings
from twisted.internet import reactor
# https://gist.github.com/alecxe/fc1527d6d9492b59c610
# define an item class
class WebStoreItem(Item):
name = Field()
price = Field()
developer = Field()
date_added = Field()
date_modified = Field()
votes = Field()
views = Field()
sales = Field()
avg_rating = Field()
comments = Field()
# define an item loader with input and output processors
class WebStoreItemLoader(ItemLoader):
default_input_processor = MapCompose(unicode.strip)
default_output_processor = TakeFirst()
desc_out = Join()
# define a pipeline
class JsonWriterPipeline(object):
def __init__(self):
self.file = open('items.json', 'wb')
def __del__(self):
self.file.close()
def process_item(self, item, spider):
line = json.dumps(dict(item)) + "\n"
self.file.write(line)
return item
# define a spider
class WebStoreSpider(Spider):
name = "WebStore"
allowed_domains = ["http://www.WebStore.com"]
start_urls = [
"http://www.WebStore.com/index.php"
]
def parse(self, response):
for meta in response.xpath('//div[@class="extension-grid"]'):
for product_block in meta.xpath('//div[@class="image-holder image"]'):
item = WebStoreItem()
avg_rating = meta.xpath('//div[@class="rating"]/text()').extract()[0]
item['avg_rating'] = avg_rating[avg_rating.find(': ') + 1:].strip()
comment = meta.xpath('//div[@class="comment"]/text()').extract()[0]
item['comments'] = comment[comment.find(': ') + 1:].strip()
print 'product_block: ', product_block
product_url = product_block.xpath('a[1]/@href').extract()[0]
print 'product_url: ', product_url
request = scrapy.http.Request(product_url, callback=self.parse_product)
request.meta['item'] = item
yield request
def parse_product(self, response):
item = response.meta['item']
product_meta_block = response.xpath('//div[@class="name"]')
print 'product_meta_block: ', product_meta_block
product_rows = product_meta_block.xpath('//tr)')
print 'product_rows: ', product_rows
i = 0
for row in product_rows:
if i == 1:
item['name'] = row.select('td/text()').extract()
elif i == 3:
item['votes'] = row.select('td/text()').extract()
i += 1
return item
# callback fired when the spider is closed
def callback(spider, reason):
stats = spider.crawler.stats.get_stats() # collect/log stats?
# stop the reactor
reactor.stop()
def stop_reactor():
reactor.stop()
if __name__ == '__main__':
# instantiate settings and provide a custom configuration
settings = Settings()
settings.set('ITEM_PIPELINES', {
'__main__.JsonWriterPipeline': 100
})
# instantiate a crawler passing in settings
crawler = Crawler(settings)
# instantiate a spider
spider = WebStoreSpider()
# configure signals
crawler.signals.connect(callback, signal=signals.spider_closed)
# configure and start the crawler
crawler.configure()
crawler.crawl(spider)
crawler.start()
# start logging
log.start()
# start the reactor (blocks execution)
reactor.run()
【问题讨论】:
标签: python windows python-2.7 web-scraping scrapy