Scrapy and cookie handling - python-2.7

I'm working on learning how to use scrapy. Especially scrapy with cookie handling. The problem is that I can not find a whole lot of examples, tutorials or documentation that can help me in this endeavor. If anyone could supply any material I would be really grateful. To show you how lost I am, the code below should show my lack of understanding;
from scrapy.spider import BaseSpider
from scrapy.http.cookies import CookieJar
class sasSpider(BaseSpider):
name = "sas"
allowed_domains = ["sas.no"]
start_urls = []
def parse(self, response):
Request("http://www.sas.no", meta={'cookiejar': response.meta['cookiejar']}, callback = self.nextfunction)
def nextfunction(self, response):
cookieJar = response.meta.setdefault('cookiejar', CookieJar())
cookieJar.extract_cookies(response, response.request)
for cookie in CookieJar:
open('cookies.html', 'wb').write(cookie)

If you want to manually add cookies, just pass them in:
yield Request("http://www.sas.no", cookies={
'foo': 'bar'
}, callback=self.nextfunction)
They'll be kept in all future requests. Just remember to do this in the start_requests callback if you want them to be there for all of the requests.

If you only want to attach with a predefined cookies, maybe overwrite make_requests_from_url is a better idea:
class MySpider(scrapy.Spider):
def make_requests_from_url(self, url):
return scrapy.Request(url=url,
cookies={'currency': 'USD', 'country': 'UY'})

Related

How to scrape pages after login

I try to find a way to scrape and parse more pages in the signed in area.
These example links accesible from signed in I want to parse.
#http://example.com/seller/demand/?id=305554
#http://example.com/seller/demand/?id=305553
#http://example.com/seller/demand/?id=305552
#....
I want to create spider that can open each one of these links and then parse them.
I have created another spider which can open and parse only one of them.
When I tried to create "for" or "while" to call more requests with other links it allowed me not because I cannot put more returns into generator, it returns error. I also tried link extractors, but it didn't work for me.
Here is my code:
#!c:/server/www/scrapy
# -*- coding: utf-8 -*-
from scrapy import Spider
from scrapy.selector import Selector
from scrapy.http import FormRequest
from scrapy.http.request import Request
from scrapy.spiders import CrawlSpider, Rule
from array import *
from stack.items import StackItem
from scrapy.linkextractors import LinkExtractor
class Spider3(Spider):
name = "Spider3"
allowed_domains = ["example.com"]
start_urls = ["http://example.com/login"] #this link lead to login page
When I am signed in it returns page with url, that contains "stat", that is why I put here first "if" condition.
When I am signed in, I request one link and call function parse_items.
def parse(self, response):
#when "stat" is in url it means that I just signed in
if "stat" in response.url:
return Request("http://example.com/seller/demand/?id=305554", callback = self.parse_items)
else:
#this succesful login turns me to page, it's url contains "stat"
return [FormRequest.from_response(response,
formdata={'ctl00$ContentPlaceHolder1$lMain$tbLogin': 'my_login', 'ctl00$ContentPlaceHolder1$lMain$tbPass': 'my_password'},callback=self.parse)]
Function parse_items simply parse desired content from one desired page:
def parse_items(self,response):
questions = Selector(response).xpath('//*[#id="ctl00_ContentPlaceHolder1_cRequest_divAll"]/table/tr')
for question in questions:
item = StackItem()
item['name'] = question.xpath('th/text()').extract()[0]
item['value'] = question.xpath('td/text()').extract()[0]
yield item
Can you help me please to update this code to open and parse more than one page in each sessions?
I don't want to sign in over and over for each request.
The session most likely depends on the cookies and scrapy manages that by itself. I.e:
def parse_items(self,response):
questions = Selector(response).xpath('//*[#id="ctl00_ContentPlaceHolder1_cRequest_divAll"]/table/tr')
for question in questions:
item = StackItem()
item['name'] = question.xpath('th/text()').extract()[0]
item['value'] = question.xpath('td/text()').extract()[0]
yield item
next_url = '' # find url to next page in the current page
if next_url:
yield Request(next_url, self.parse_items)
# scrapy will retain the session for the next page if it's managed by cookies
I am currently working on the same problem. I use InitSpider so I can overwrite __init__ and init_request. The first is just for initialisation of custom stuff and the actual magic happens in my init_request:
def init_request(self):
"""This function is called before crawling starts."""
# Do not start a request on error,
# simply return nothing and quit scrapy
if self.abort:
return
# Do a login
if self.login_required:
# Start with login first
return Request(url=self.login_page, callback=self.login)
else:
# Start with pase function
return Request(url=self.base_url, callback=self.parse)
My login looks like this
def login(self, response):
"""Generate a login request."""
self.log('Login called')
return FormRequest.from_response(
response,
formdata=self.login_data,
method=self.login_method,
callback=self.check_login_response
)
self.login_data is a dict with post values.
I am still a beginner with python and scrapy, so I might be doing it the wrong way. Anyway, so far I have produced a working version that can be viewed on github.
HTH:
https://github.com/cytopia/crawlpy

Using scrapy recursivelly for scrape a phpBB forum

I'm trying to use scrapy for crawl a phpbb-based forum. My knowledge level of scrapy is quite basic (but improving).
Extract the contents of a forum thread's first page was more or less easy. My successful scraper was this:
import scrapy
from ptmya1.items import Ptmya1Item
class bastospider3(scrapy.Spider):
name = "basto3"
allowed_domains = ["portierramaryaire.com"]
start_urls = [
"http://portierramaryaire.com/foro/viewtopic.php?f=3&t=3821&st=0&sk=t&sd=a"
]
def parse(self, response):
for sel in response.xpath('//div[2]/div'):
item = Ptmya1Item()
item['author'] = sel.xpath('div/div[1]/p/strong/a/text()').extract()
item['date'] = sel.xpath('div/div[1]/p/text()').extract()
item['body'] = sel.xpath('div/div[1]/div/text()').extract()
yield item
However, when I tried to crawl using "next page" link I have failed after a lot of frustrating hours. I would like to show you my attempts, in order to ask for an advice. Note: I would prefer to obtain a solution for the SgmlLinkExtractor variants, since they are more flexible and powerful, but I priorize success after so many attempts
First one, SgmlLinkExtractor with restricted path. 'Next page xpath' is
/html/body/div[1]/div[2]/form[1]/fieldset/a
Indeed, I tested with the shell that
response.xpath('//div[2]/form[1]/fieldset/a/#href')[1].extract()
returns a correct value for the "next page" link. However, I want to note that the cited xpath offers TWO links
>>> response.xpath('//div[2]/form[1]/fieldset/a/#href').extract()
[u'./search.php?sid=5aa2b92bec28a93c85956e83f2f62c08', u'./viewtopic.php?f=3&t=3821&st=0&sk=t&sd=a&sid=5aa2b92bec28a93c85956e83f2f62c08&start=15']
thus, my failed scraper was
import scrapy
from scrapy.contrib.spiders import CrawlSpider, Rule
from scrapy.contrib.linkextractors.sgml import SgmlLinkExtractor
from scrapy.selector import HtmlXPathSelector
from ptmya1.items import Ptmya1Item
class bastospider3(scrapy.Spider):
name = "basto7"
allowed_domains = ["portierramaryaire.com"]
start_urls = [
"http://portierramaryaire.com/foro/viewtopic.php?f=3&t=3821&st=0&sk=t&sd=a"
]
rules = (
Rule(SgmlLinkExtractor(allow=(), restrict_xpaths=('//div[2]/form[1]/fieldset/a/#href')[1],), callback="parse_items", follow= True)
)
def parse_item(self, response):
for sel in response.xpath('//div[2]/div'):
item = Ptmya1Item()
item['author'] = sel.xpath('div/div[1]/p/strong/a/text()').extract()
item['date'] = sel.xpath('div/div[1]/p/text()').extract()
item['body'] = sel.xpath('div/div[1]/div/text()').extract()
yield item
Second one, SgmlLinkExtractor with allow. More primitive and unsuccessful too
import scrapy
from scrapy.contrib.spiders import CrawlSpider, Rule
from scrapy.contrib.linkextractors.sgml import SgmlLinkExtractor
from scrapy.selector import HtmlXPathSelector
from ptmya1.items import Ptmya1Item
class bastospider3(scrapy.Spider):
name = "basto7"
allowed_domains = ["portierramaryaire.com"]
start_urls = [
"http://portierramaryaire.com/foro/viewtopic.php?f=3&t=3821&st=0&sk=t&sd=a"
]
rules = (
Rule(SgmlLinkExtractor(allow=(r'viewtopic.php?f=3&t=3821&st=0&sk=t&sd=a&start.',),), callback="parse_items", follow= True)
)
def parse_item(self, response):
for sel in response.xpath('//div[2]/div'):
item = Ptmya1Item()
item['author'] = sel.xpath('div/div[1]/p/strong/a/text()').extract()
item['date'] = sel.xpath('div/div[1]/p/text()').extract()
item['body'] = sel.xpath('div/div[1]/div/text()').extract()
yield item
Finally, I returned to the damn paleolithic age, or to its first tutorial equivalent. I try to use the loop included at the end of the beginner's tutorial. Another failure
import scrapy
import urlparse
from ptmya1.items import Ptmya1Item
class bastospider5(scrapy.Spider):
name = "basto5"
allowed_domains = ["portierramaryaire.com"]
start_urls = [
"http://portierramaryaire.com/foro/viewtopic.php?f=3&t=3821&st=0&sk=t&sd=a"
]
def parse_articles_follow_next_page(self, response):
item = Ptmya1Item()
item['cacho'] = response.xpath('//div[2]/form[1]/fieldset/a/#href').extract()[1][1:] + "http://portierramaryaire.com/foro"
for sel in response.xpath('//div[2]/div'):
item['author'] = sel.xpath('div/div[1]/p/strong/a/text()').extract()
item['date'] = sel.xpath('div/div[1]/p/text()').extract()
item['body'] = sel.xpath('div/div[1]/div/text()').extract()
yield item
next_page = response.xpath('//fieldset/a[#class="right-box right"]')
if next_page:
cadenanext = response.xpath('//div[2]/form[1]/fieldset/a/#href').extract()[1][1:]
url = urlparse.urljoin("http://portierramaryaire.com/foro",cadenanext)
yield scrapy.Request(url, self.parse_articles_follow_next_page)
In all the cases, what I have obtained is a cryptic error message from which I cannot obtain a hint for the solution of my problem.
2015-10-08 21:24:46 [scrapy] DEBUG: Crawled (200) <GET http://portierramaryaire.com/foro/viewtopic.php?f=3&t=3821&st=0&sk=t&sd=a> (referer: None)
2015-10-08 21:24:46 [scrapy] ERROR: Spider error processing <GET http://portierramaryaire.com/foro/viewtopic.php?f=3&t=3821&st=0&sk=t&sd=a> (referer: None)
Traceback (most recent call last):
File "/usr/lib/python2.7/dist-packages/twisted/internet/defer.py", line 577, in _runCallbacks
current.result = callback(current.result, *args, **kw)
File "/usr/local/lib/python2.7/dist-packages/scrapy/spiders/__init__.py", line 76, in parse
raise NotImplementedError
NotImplementedError
2015-10-08 21:24:46 [scrapy] INFO: Closing spider (finished)
I really would appreciate any advice (or better, a working solution) for the problem. I'm utterly stuck on this and no matter how much I read, I am not able to find a solution :(
The cryptic error message occurs because you do not use the parse method. That's the default entry-point of scrapy when it wants to parse a response.
However you only defined a parse_articles_follow_next_page or parse_item function -- which are definitely no parse functions.
And this is not because of the next site but the first site: Scrapy cannot parse the start_url so your tries are not reached in any case. Try to change your parse_items to parse and execute your approaches again for the palaeolithic solution.
If you are using a Rule then you need to use a different spider. For those use CrawlSpider which you can see in the tutorials. In this case do not override the parse method but use the parse_items as you do. That's because CrawlSpider uses parse to forward the responses to the callback method.
Thanks to GHajba, the problem is solved. The solution is developed on the commentaries.
However, the spider doesn't return the results in order. It starts on http://portierramaryaire.com/foro/viewtopic.php?f=3&t=3821&st=0&sk=t&sd=a
and it should walk through "next page" urls, which are like this: http://portierramaryaire.com/foro/viewtopic.php?f=3&t=3821&st=0&sk=t&sd=a&start=15
incrementing the 'start' variable with 15 post each time.
Indeed, the spider returns first the page produced 'start=15', then 'start=30', then 'start=0', then again 'start=15', then 'start=45'...
I am not sure if I have to create a new question or if it would be better for future readers to develop the question here. What do you think?
since this is 5 year old - many many new approaches are out there.
btw: see https://github.com/Dascienz/phpBB-forum-scraper
Python-based web scraper for phpBB forums. Project can be used as a
template for building your own custom Scrapy spiders or for one-off
crawls on designated forums. Please keep in mind that aggressive
crawls can produce significant strain on web servers, so please
throttle your request rates.
The phpBB.py spider scrapes the following information from forum
posts: Username User Post Count Post Date & Time Post Text Quoted Text
If you need additional data scraped, you will have to create
additional spiders or edit the existing spider.
Edit phpBB.py and Specify: allowed_domains start_urls username &
password forum_login=False or forum_login=True
see also
import requests
forum = "the forum name"
headers = {'User-Agent': 'Mozilla/5.0'}
payload = {'username': 'username', 'password': 'password', 'redirect':'index.php', 'sid':'', 'login':'Login'}
session = requests.Session()
r = session.post(forum + "ucp.php?mode=login", headers=headers, data=payload)
print(r.text)
but wait: we can - instead of manipulating the website using requests,
also make use a browser automation such as mechanize offers this.
This way we don't have to manage the own session and only have a few lines of code to craft each request.
a interesting example is on GitHub https://github.com/winny-/sirsi/blob/317928f23847f4fe85e2428598fbe44c4dae2352/sirsi/sirsi.py#L74-L211

Scrapy Cookie Manipulation How to?

I have to crawl a Web Site, so I use Scrapy to do it, but I need to pass a cookie to bypass the first page (which is a kind of login page, you choose you location)
I heard on the web that you need to do this with a base Spider (not a Crawl Spider), but I need to use a Crawl Spider to do my crawling, so what do I need to do?
At first a Base Spider? then launch my Crawl spider? But I don't know if cookie will be passed between them or how do I do it? How to launch a spider from another spider?
How to handle cookie? I tried with this
def start_requests(self):
yield Request(url='http://www.auchandrive.fr/drive/St-Quentin-985/', cookies={'auchanCook': '"985|"'})
But not working
My answer should be here, but the guy is really evasive and I don't know what to do.
First, you need to add open cookies in settings.py file
COOKIES_ENABLED = True
Here is my testing spider code for your reference. I tested it and passed
from scrapy.contrib.spiders import CrawlSpider, Rule
from scrapy.contrib.linkextractors.sgml import SgmlLinkExtractor
from scrapy.http import Request
from scrapy import log
class Stackoverflow23370004Spider(CrawlSpider):
name = 'auchandrive.fr'
allowed_domains = ["auchandrive.fr"]
target_url = "http://www.auchandrive.fr/drive/St-Quentin-985/"
def start_requests(self):
yield Request(self.target_url,cookies={'auchanCook': "985|"}, callback=self.parse_page)
def parse_page(self, response):
if 'St-Quentin-985' in response.url:
self.log("Passed : %r" % response.url,log.DEBUG)
else:
self.log("Failed : %r" % response.url,log.DEBUG)
You can run command to test and watch the console output:
scrapy crawl auchandrive.fr
I noticed that in your code snippet, you were using cookies={'auchanCook': '"985|"'}, instead of cookies={'auchanCook': "985|"}.
This should get you started:
from scrapy.contrib.spiders import CrawlSpider, Rule
from scrapy.contrib.linkextractors.sgml import SgmlLinkExtractor
from scrapy.http import Request
class AuchanDriveSpider(CrawlSpider):
name = 'auchandrive'
allowed_domains = ["auchandrive.fr"]
# pseudo-start_url
begin_url = "http://www.auchandrive.fr/"
# start URL used as shop selection
select_shop_url = "http://www.auchandrive.fr/drive/St-Quentin-985/"
rules = (
Rule(SgmlLinkExtractor(restrict_xpaths=('//ul[#class="header-menu"]',))),
Rule(SgmlLinkExtractor(restrict_xpaths=('//div[contains(#class, "vignette-content")]',)),
callback='parse_product'),
)
def start_requests(self):
yield Request(self.begin_url, callback=self.select_shop)
def select_shop(self, response):
return Request(url=self.select_shop_url, cookies={'auchanCook': "985|"})
def parse_product(self, response):
self.log("parse_product: %r" % response.url)
Pagination might be tricky.

How to use Pyquery with scrapy?

My objective is to use pyquery with scrapy, apparently from scrapy.selector import PyQuerySelector returns ImportError: cannot import name PyQuerySelector when I crawl the spider.
I followed this specific gist https://gist.github.com/joehillen/795180 to implement pyquery.
Any suggestions or tutorials that can help me get this job done?
You declare a class and make your rules and in the callback attribute of rule extractor give parse_item by default the scrapy goes parse() function
def parse_item(self, response):
pyquery_obj = PyQuery(response.body)
header = self.get_header(pyquery_obj)
return {
'header': header,
}
def get_header(self, pyquery_obj):
return pyquery_obj('#page_head').text()

Django - Check users messages every request

I want to check if a user has any new messages each time they load the page. Up until now, I have been doing this inside of my views but it's getting fairly hard to maintain since I have a fair number of views now.
I assume this is the kind of thing middleware is good for, a check that will happen every single page load. What I need it to do is so:
Check if the user is logged in
If they are, check if they have any messages
Store the result so I can reference the information in my templates
Has anyone ever had to write any middleware like this? I've never used middleware before so any help would be greatly appreciated.
You could use middleware for this purpose, but perhaps context processors are more inline for what you want to do.
With middleware, you are attaching data to the request object. You could query the database and find a way to jam the messages into the request. But context processors allow you to make available extra entries into the context dictionary for use in your templates.
I think of middleware as providing extra information to your views, while context processors provide extra information to your templates. This is in no way a rule, but in the beginning it can help to think this way (I believe).
def messages_processor(request):
return { 'new_messages': Message.objects.filter(unread=True, user=request.user) }
Include that processor in your settings.py under context processors. Then simply reference new_messages in your templates.
I have written this middleware on my site for rendering messages. It checks a cookie, if it is not present it appends the message to request and saves a cookie, maybe you can do something similar:
class MyMiddleware:
def __init__(self):
#print 'Initialized my Middleware'
pass
def process_request(self, request):
user_id = False
if request.user.is_active:
user_id = str(request.user.id)
self.process_update_messages(request, user_id)
def process_response(self, request, response):
self.process_update_messages_response(request, response)
return response
def process_update_messages(self, request, user_id=False):
update_messages = UpdateMessage.objects.exclude(expired=True)
render_message = False
request.session['update_messages'] = []
for message in update_messages:
if message.expire_time < datetime.datetime.now():
message.expired = True
message.save()
else:
if request.COOKIES.get(message.cookie(), True) == True:
render_message = True
if render_message:
request.session['update_messages'].append({'cookie': message.cookie(), 'cookie_max_age': message.cookie_max_age})
messages.add_message(request, message.level, message)
break
def process_update_messages_response(self, request, response):
try:
update_messages = request.session['update_messages']
except:
update_messages = False
if update_messages:
for message in update_messages:
response.set_cookie(message['cookie'], value=False, max_age=message['cookie_max_age'], expires=None, path='/', domain=None, secure=None)
return response