I have around 10 odd sites that I wish to scrape from. A couple of them are wordpress blogs and they follow the same html structure, albeit with different classes. The others are either forums or blogs of other formats.
The information I like to scrape is common - the post content, the timestamp, the author, title and the comments.
My question is, do i have to create one separate spider for each domain? If not, how can I create a generic spider that allows me scrape by loading options from a configuration file or something similar?
I figured I could load the xpath expressions from a file which location can be loaded via command line but there seems to be some difficulties when scraping for some domain requires that I use regex select(expression_here).re(regex)
while some do not.
At scrapy spider set the allowed_domains to a list of domains for example :
class YourSpider(CrawlSpider):
allowed_domains = [ 'domain1.com','domain2.com' ]
hope it helps
Well I faced the same issue so I created the spider class dynamically using type()
,
from scrapy.contrib.spiders import CrawlSpider
import urlparse
class GenericSpider(CrawlSpider):
"""a generic spider, uses type() to make new spider classes for each domain"""
name = 'generic'
allowed_domains = []
start_urls = []
@classmethod
def create(cls, link):
domain = urlparse.urlparse(link).netloc.lower()
# generate a class name such that domain www.google.com results in class name GoogleComGenericSpider
class_name = (domain if not domain.startswith('www.') else domain[4:]).title().replace('.', '') + cls.__name__
return type(class_name, (cls,), {
'allowed_domains': [domain],
'start_urls': [link],
'name': domain
})
So say, to create a spider for 'http://www.google.com' I'll just do -
In [3]: google_spider = GenericSpider.create('http://www.google.com')
In [4]: google_spider
Out[4]: __main__.GoogleComGenericSpider
In [5]: google_spider.name
Out[5]: 'www.google.com'
Hope this helps
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