CrawlSpider can't parse multipage in Scrapy - python

The CrawlSpider I've created is not doing it's job properly. It parses the first page and then stops without going on to the next page. Something I'm doing wrong but can't detect. Hope somebody out there gives me a hint what should I do to rectify it.
"items.py" includes:
from scrapy.item import Item, Field
class CraigslistScraperItem(Item):
Name = Field()
Link = Field()
CrawlSpider names "craigs.py" which contains :
from scrapy.contrib.spiders import CrawlSpider, Rule
from scrapy.linkextractors import LinkExtractor
from scrapy.selector import Selector
from craigslist_scraper.items import CraigslistScraperItem
class CraigsPySpider(CrawlSpider):
name = "craigs"
allowed_domains = ["craigslist.org"]
start_urls = (
'http://sfbay.craigslist.org/search/npo/',
)
rules=(Rule(LinkExtractor(allow = ('sfbay\.craigslist\.org\/search\/npo/.*',
),restrict_xpaths = ('//a[#class="button next"]')),callback = 'parse',follow = True),)
def parse(self, response):
page=response.xpath('//p[#class="result-info"]')
items=[]
for title in page:
item=CraigslistScraperItem()
item["Name"]=title.xpath('.//a[#class="result-title hdrlnk"]/text()').extract()
item["Link"]=title.xpath('.//a[#class="result-title hdrlnk"]/#href').extract()
items.append(item)
return items
And finally the command I'm using to get CSV output is:
scrapy crawl craigs -o items.csv -t csv
By the way, I tried to use "parse_item" in the first place but found no response that is why I used "parse" method instead. Thanks in advance.

Don't name your callback method parse when you use scrapy.CrawlSpider.
From Scrapy documentation:
When writing crawl spider rules, avoid using parse as callback, since
the CrawlSpider uses the parse method itself to implement its logic.
So if you override the parse method, the crawl spider will no longer
work.
Also, you don't need to append an item to list since you already using Scrapy Items and can simply yield item.
This code should work:
# -*- coding: utf-8 -*-
from scrapy.contrib.spiders import CrawlSpider, Rule
from scrapy.linkextractors import LinkExtractor
from craigslist_scraper.items import CraigslistScraperItem
class CraigsPySpider(CrawlSpider):
name = "craigs"
allowed_domains = ["craigslist.org"]
start_urls = (
'http://sfbay.craigslist.org/search/npo/',
)
rules = (
Rule(LinkExtractor(allow=('\/search\/npo\?s=.*',)), callback='parse_item', follow=True),
)
def parse_item(self, response):
page = response.xpath('//p[#class="result-info"]')
for title in page:
item = CraigslistScraperItem()
item["Name"] = title.xpath('.//a[#class="result-title hdrlnk"]/text()').extract_first()
item["Link"] = title.xpath('.//a[#class="result-title hdrlnk"]/#href').extract_first()
yield item
Finally for output in csv format run: scrapy crawl craigs -o items.csv

Related

Network Graph output from Scrapy

I'm pretty new to using Scrapy and I'm having difficulties. I'm trying to work with scrapy to crawl a website and return a list of nodes and edges to build a network graph of internal and external websites from my start page to a depth of x (to be determined).
I have the following code and I'm having trouble figuring out what the issue is.
My items.py file looks like this:
from scrapy.item import Item, Field
class SitegraphItem(Item):
url=Field()
linkedurls=Field()
my graphspider.py file is as follows:
from scrapy.selector import HtmlXPathSelector
from scrapy.linkextractors import LinkExtractor
from scrapy.contrib.spiders import CrawlSpider, Rule
from scrapy.utils.url import urljoin_rfc
from sitegraph.items import SitegraphItem
class GraphspiderSpider(CrawlSpider):
name = 'graphspider'
allowed_domains = ['example.com']
start_urls = ['https://www.example.com/products/']
rules = (
Rule(LinkExtractor(allow=r'/'), callback='parse_item', follow=True),
)
def parse_item(self, response):
hxs = HtmlXPathSelector(response)
i = SitegraphItem()
i['url'] = response.url
i['http_status'] = response.status
llinks=[]
for anchor in hxs.select('//a[#href]'):
href=anchor.select('#href').extract()[0]
if not href.lower().startswith("javascript"):
llinks.append(urljoin_rfc(response.url,href))
i['linkedurls'] = llinks
return i
and I modified the settings.py file to include:
BOT_NAME = 'sitegraph'
SPIDER_MODULES = ['sitegraph.spiders']
NEWSPIDER_MODULE = 'sitegraph.spiders'
FEED_FORMAT="jsonlines"
FEED_URI="C:\\Users\Merrie\\Desktop\\testscrape\\sitegraph\\sitegraph.json"
When I run it I'm using the following code:
$ scrapy crawl graphspider -o attempt2.csv
And my output table is empty. It also keeps throwing this error: "KeyError: 'SitegraphItem does not support field: http_status'"
Missing http_statusfield in your items.py causes the error, please update it.
from scrapy.item import Item, Field
class SitegraphItem(Item):
url=Field()
linkedurls=Field()
http_status=Field()

scrapy rules do not call parsing method

I am new to scrapy and am trying to crawl a domain, following all internal links and scraping the title of url with the pattern /example/.*
crawling works, but the scraping of the title does not since the output file is empty. Most likely I got the rules wrong. Is this the right syntax using the rules in order to achieve what I am looking for?
import scrapy
class BidItem(scrapy.Item):
url = scrapy.Field()
title = scrapy.Field()
spider.py
import scrapy
from scrapy.linkextractors import LinkExtractor
from scrapy.spiders import CrawlSpider, Rule
from bid.items import BidItem
class GetbidSpider(CrawlSpider):
name = 'getbid'
allowed_domains = ['domain.de']
start_urls = ['https://www.domain.de/']
rules = (
Rule(
LinkExtractor(),
follow=True
),
Rule(
LinkExtractor(allow=['example/.*']),
callback='parse_item'
),
)
def parse_item(self, response):
href = BidItem()
href['url'] = response.url
href['title'] = response.css("h1::text").extract()
return href
crawl: scrapy crawl getbid -o 012916.csv
From the CrawlSpider docs:
If multiple rules match the same link, the first one will be used,
according to the order they’re defined in this attribute.
Since your first rule will match all links, it will always be used and all other rules will be ignored.
Fixing the problem is as simple as switching the order of the rules.

scrapy crawlspider output

I'm having an issue running through the CrawlSpider example in the Scrapy documentation. It seems to be crawling just fine but I'm having trouble getting it to output to a CSV file (or anything really).
So, my question is can I use this:
scrapy crawl dmoz -o items.csv
or do I have to create an Item Pipeline?
UPDATED, now with code!:
import scrapy
from scrapy.contrib.spiders import CrawlSpider, Rule
from scrapy.contrib.linkextractors import LinkExtractor
from targets.item import TargetsItem
class MySpider(CrawlSpider):
name = 'abc'
allowed_domains = ['ididntuseexample.com']
start_urls = ['http://www.ididntuseexample.com']
rules = (
# Extract links matching 'category.php' (but not matching 'subsection.php')
# and follow links from them (since no callback means follow=True by default).
Rule(LinkExtractor(allow=('ididntuseexample.com', ))),
)
def parse_item(self, response):
self.log('Hi, this is an item page! %s' % response.url)
item = TargetsItem()
item['title'] = response.xpath('//h2/a/text()').extract() #this pulled down data in scrapy shell
item['link'] = response.xpath('//h2/a/#href').extract() #this pulled down data in scrapy shell
return item
Rules are the mechanism CrawlSpider uses for following links. Those links are defined with a LinkExtractor. This element basically indicates which links to extract from the crawled page (like the ones defined in the start_urls list) to be followed. Then you can pass a callback that will be called on each extracted link, or more precise, on the pages downloaded following those links.
Your rule must call the parse_item. So, replace:
Rule(LinkExtractor(allow=('ididntuseexample.com', ))),
with:
Rule(LinkExtractor(allow=('ididntuseexample.com',)), callback='parse_item),
This rule defines that you want to call parse_item on every link whose href is ididntuseexample.com. I suspect that what you want as link extractor is not the domain, but the links you want to follow/scrape.
Here you have a basic example that crawls Hacker News to retrieve the title and the first lines of the first comment for all the news in the main page.
import scrapy
from scrapy.contrib.spiders import CrawlSpider, Rule
from scrapy.contrib.linkextractors import LinkExtractor
class HackerNewsItem(scrapy.Item):
title = scrapy.Field()
comment = scrapy.Field()
class HackerNewsSpider(CrawlSpider):
name = 'hackernews'
allowed_domains = ['news.ycombinator.com']
start_urls = [
'https://news.ycombinator.com/'
]
rules = (
# Follow any item link and call parse_item.
Rule(LinkExtractor(allow=('item.*', )), callback='parse_item'),
)
def parse_item(self, response):
item = HackerNewsItem()
# Get the title
item['title'] = response.xpath('//*[contains(#class, "title")]/a/text()').extract()
# Get the first words of the first comment
item['comment'] = response.xpath('(//*[contains(#class, "comment")])[1]/font/text()').extract()
return item

Avoid bad requests due to relative urls

I am trying to crawl a website using Scrapy, and the urls of every page I want to scrap are all written using a relative path of this kind:
<!-- on page https://www.domain-name.com/en/somelist.html (no <base> in the <head>) -->
Link
Now, in my browser, these links work, and you get to urls like https://www.domain-name.com/en/item-to-scrap.html (despite the relative path going back up twice in hierarchy instead of once)
But my CrawlSpider does not manage to translate these urls into a "correct" one, and all I get is errors of that kind:
2013-10-13 09:30:41-0500 [domain-name.com] DEBUG: Retrying <GET https://www.domain-name.com/../en/item-to-scrap.html> (failed 1 times): 400 Bad Request
Is there a way to fix this, or am I missing something?
Here is my spider's code, fairly basic (on the basis of item urls matching "/en/item-*-scrap.html") :
from scrapy.contrib.spiders import CrawlSpider, Rule
from scrapy.contrib.linkextractors.sgml import SgmlLinkExtractor
from scrapy.selector import HtmlXPathSelector
from scrapy.item import Item, Field
class Product(Item):
name = Field()
class siteSpider(CrawlSpider):
name = "domain-name.com"
allowed_domains = ['www.domain-name.com']
start_urls = ["https://www.domain-name.com/en/"]
rules = (
Rule(SgmlLinkExtractor(allow=('\/en\/item\-[a-z0-9\-]+\-scrap\.html')), callback='parse_item', follow=True),
Rule(SgmlLinkExtractor(allow=('')), follow=True),
)
def parse_item(self, response):
x = HtmlXPathSelector(response)
product = Product()
product['name'] = ''
name = x.select('//title/text()').extract()
if type(name) is list:
for s in name:
if s != ' ' and s != '':
product['name'] = s
break
return product
Basically deep down, scrapy uses http://docs.python.org/2/library/urlparse.html#urlparse.urljoin for getting the next url by joining currenturl and url link scrapped. And if you join the urls provided you mentioned as example,
<!-- on page https://www.domain-name.com/en/somelist.html -->
Link
the returned url is same as url mentioned in error scrapy error. Try this in python shell.
import urlparse
urlparse.urljoin("https://www.domain-name.com/en/somelist.html","../../en/item-to-scrap.html")
The urljoin behaviour seems to be valid. See : https://www.rfc-editor.org/rfc/rfc1808.html#section-5.2
If it is possible, can you pass the site, which you are crawling ?
With this understanding, the solutions can be,
Manipulate the urls(remove those two dots and slash). generated in crawl spider. Basically override parse or _request_to_folow.
Source of crawl spider: https://github.com/scrapy/scrapy/blob/master/scrapy/contrib/spiders/crawl.py
Manipulate the url in the downloadmiddleware, this might be cleaner. You remove the ../ in the process_request of the downloadmiddleware.
Documentation for downloadmiddleware : http://scrapy.readthedocs.org/en/0.16/topics/downloader-middleware.html
Use base spider and also return the manipulated url requests you want to crawl further
Documentation for the basespider : http://scrapy.readthedocs.org/en/0.16/topics/spiders.html#basespider
Please let me know if you have any questions.
I finally found a solution thanks to this answer. I used process_links as follows:
from scrapy.contrib.spiders import CrawlSpider, Rule
from scrapy.contrib.linkextractors.sgml import SgmlLinkExtractor
from scrapy.selector import HtmlXPathSelector
from scrapy.item import Item, Field
class Product(Item):
name = Field()
class siteSpider(CrawlSpider):
name = "domain-name.com"
allowed_domains = ['www.domain-name.com']
start_urls = ["https://www.domain-name.com/en/"]
rules = (
Rule(SgmlLinkExtractor(allow=('\/en\/item\-[a-z0-9\-]+\-scrap\.html')), process_links='process_links', callback='parse_item', follow=True),
Rule(SgmlLinkExtractor(allow=('')), process_links='process_links', follow=True),
)
def parse_item(self, response):
x = HtmlXPathSelector(response)
product = Product()
product['name'] = ''
name = x.select('//title/text()').extract()
if type(name) is list:
for s in name:
if s != ' ' and s != '':
product['name'] = s
break
return product
def process_links(self,links):
for i, w in enumerate(links):
w.url = w.url.replace("../", "")
links[i] = w
return links

Scrapy XPath all the links on the page

I am trying to collect all the URLs under a domain using Scrapy. I was trying to use the CrawlSpider to start from the homepage and crawl their web. For each page, I want to use Xpath to extract all the hrefs. And store the data in a format like key-value pair.
Key: the current Url
Value: all the links on this page.
class MySpider(CrawlSpider):
name = 'abc.com'
allowed_domains = ['abc.com']
start_urls = ['http://www.abc.com']
rules = (Rule(SgmlLinkExtractor()), )
def parse_item(self, response):
hxs = HtmlXPathSelector(response)
item = AbcItem()
item['key'] = response.url
item['value'] = hxs.select('//a/#href').extract()
return item
I define my AbcItem() looks like below:
from scrapy.item import Item, Field
class AbcItem(Item):
# key: url
# value: list of links existing in the key url
key = Field()
value = Field()
pass
And when I run my code like this:
nohup scrapy crawl abc.com -o output -t csv &
The robot seems like began to crawl and I can see the nohup.out file being populated by all the configurations log but there is no information from my output file.. which is what I am trying to collect, can anyone help me with this? what might be wrong with my robot?
You should have defined a callback for a rule. Here's an example for getting all links from twitter.com main page (follow=False):
from scrapy.contrib.linkextractors.sgml import SgmlLinkExtractor
from scrapy.contrib.spiders import CrawlSpider, Rule
from scrapy.item import Item, Field
class MyItem(Item):
url= Field()
class MySpider(CrawlSpider):
name = 'twitter.com'
allowed_domains = ['twitter.com']
start_urls = ['http://www.twitter.com']
rules = (Rule(SgmlLinkExtractor(), callback='parse_url', follow=False), )
def parse_url(self, response):
item = MyItem()
item['url'] = response.url
return item
Then, in the output file, I see:
http://status.twitter.com/
https://twitter.com/
http://support.twitter.com/forums/26810/entries/78525
http://support.twitter.com/articles/14226-how-to-find-your-twitter-short-code-or-long-code
...
Hope that helps.
if you dont set the callback function explicitly, scrapy will use the method parse to process crawled pages. so, you should add parse_item as the callback, or change it's name to parse.

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