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This is the BaseSpider example from the Scrapy tutorial:
from scrapy.spider import BaseSpider
from scrapy.selector import HtmlXPathSelector
from dmoz.items import DmozItem
class DmozSpider(BaseSpider):
domain_name = "dmoz.org"
start_urls = [
"http://www.dmoz.org/Computers/Programming/Languages/Python/Books/",
"http://www.dmoz.org/Computers/Programming/Languages/Python/Resources/"
]
def parse(self, response):
hxs = HtmlXPathSelector(response)
sites = hxs.select('//ul[2]/li')
items = []
for site in sites:
item = DmozItem()
item['title'] = site.select('a/text()').extract()
item['link'] = site.select('a/@href').extract()
item['desc'] = site.select('text()').extract()
items.append(item)
return items
SPIDER = DmozSpider()
I copied it with changes for my project:
from scrapy.contrib.spiders import CrawlSpider, Rule
from scrapy.contrib.linkextractors.sgml import SgmlLinkExtractor
from scrapy.selector import HtmlXPathSelector
from scrapy.item import Item
from firm.items import FirmItem
class Spider1(CrawlSpider):
domain_name = 'wc2'
start_urls = ['http://www.whitecase.com/Attorneys/List.aspx?LastName=A']
def parse(self, response):
hxs = HtmlXPathSelector(response)
sites = hxs.select('//td[@class="altRow"][1]/a/@href').re('/.a\w+')
items = []
for site in sites:
item = FirmItem
item['school'] = hxs.select('//td[@class="mainColumnTDa"]').re('(JD)(.*?)(\d+)')
items.append(item)
return items
SPIDER = Spider1()
and I get the error
[wc2] ERROR: Spider exception caught while processing
<http://www.whitecase.com/Attorneys/List.aspx?LastName=A> (referer: <None>):
[Failure instance: Traceback: <type 'exceptions.TypeError'>:
'ItemMeta' object does not support item assignment
I would greatly appreciate it if experts here take a look at the code and give me a clue about where I am going wrong.
Thank you
287
Scrapy follows asynchronous processing i.e. the requesting process does not wait for the response, instead continues with further tasks. Once a response arrives, the requesting process proceeds to manipulate the response. The spiders in Scrapy work in the same way.
Scrapy is a web scraping library that is used to scrape, parse and collect web data. For all these functions we are having a pipelines.py file which is used to handle scraped data through various components (known as class) which are executed sequentially.
While working with Scrapy, one needs to create scrapy project. In Scrapy, always try to create one spider which helps to fetch data, so to create one, move to spider folder and create one python file over there. Create one spider with name gfgfetch.py python file. Move to the spider folder and create gfgfetch.py .
Scrapy is an application framework for writing web spiders that crawl web sites and extract data from them. Scrapy provides a built-in mechanism for extracting data (called selectors) but you can easily use BeautifulSoup (or lxml) instead, if you feel more comfortable working with them.
Probably you meant item = FirmItem() instead of item = FirmItem?
77
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