I'm trying to override Scrapy's start_requests method, but unsuccessful. I'm already fine to iterate through pages. The problem is that now I have to iterate firstly through cities and than pages.
My code looks like this:
URL = "https://example.com/%s/?page=%d"
starting_number = 1
number_of_pages = 3
cities = [] # there are array of cities
selected_city = "..."
def start_requests(self):
for city in cities:
selected_city = city
print "####################"
print "##### CITY: " + selected_city + " #####"
for i in range(self.page_number, number_of_pages, +1):
print "##### page: " + str(i) + " #####"
yield scrapy.Request(url=(URL % (selected_city, i)), callback = self.parse)
print "####################"
In console I see that when crawler starts working it prints all cities and pages, and than only start requests. Therefore as the result my crawler parses only the first city. They work asynchronously, while I need synchronous.
What is the right way to iterate in my case?
Thanks for any help!
My problem was that I used wrongly global variable selected_city in the remaining code.
I thought that on every iteration it would stop to do parse method, and than continue to next iteration. Therefore I set parameter item['city'] = selected_city in parse method.
Now I just pass parameter city through Request's meta parameter.
Sample code:
def start_requests(self):
requests = []
for city in cities:
for i in range(self.page_number, number_of_pages, +1):
requests.append(scrapy.Request(url=(URL % (city, i)), callback = self.parse, meta = {'city': city}))
return requests
And in parse method retrieving by doing: item['city'] = response.request.meta['city']
Related
I'm trying to make a spider that goes through a certain amount of start urls and if the resulting page is the right one I yield another request. The problem is that if I try anyway of not yielding a second request the spider will stop directly. There are no problems if I yield the second request.
Here is the relevant code:
def start_requests(self):
urls = ['https://www.hltv.org' + player for player in self.hashPlayers]
print(len(urls))
for url in urls:
return [scrapy.Request(url=url, callback=self.parse)]
def parse(self, response):
result = response.xpath("//div[#class = 'playerTeam']//a/#href").get()
if result is None:
result = response.xpath("//span[contains(concat(' ',normalize-space(#class),' '),' profile-player-stat-value bold ')]//a/#href").get()
if result is not None:
yield scrapy.Request(
url = "https://www.hltv.org" + result,
callback = self.parseTeam
)
So I want a way to make the spider to continue after I call the parse function and don't yield a request.
In below code I am trying to collect email ids from a website. It can be on contact or about us page.
From parse method I follow extemail method for all those pages.
From every page I collected few email ids.
Now I need to print them with original record sent to init method.
For example:
record = "https://www.wockenfusscandies.com/"
I want to print output as,
https://www.wockenfusscandies.com/|abc#gamil.com|def#outlook.com
I am not able to store them in self.emails and deliver back to init method.
Please help.
import scrapy
from scrapy.crawler import CrawlerProcess
class EmailSpider(scrapy.Spider):
def __init__(self, record):
self.record = record
self.emails = []
url = record.split("|")[4]
if not url.startswith("http"):
url = "http://{}".format(url)
if url:
self.start_urls = ["https://www.wockenfusscandies.com/"]
else:
self.start_urls = []
def parse(self, response):
contact_list = [a.attrib['href'] for a in response.css('a') if 'contact' in a.attrib['href'] or 'about' in a.attrib['href']]
contact_list.append(response.request.url)
for fllink in contact_list:
yield response.follow(fllink, self.extemail)
def extemail(self, response):
emails = response.css('body').re('[a-zA-Z0-9_.+-]+#[a-zA-Z0-9-]+\.[a-zA-Z0-9-.]+')
yield {
'emails': emails
}
process = CrawlerProcess({
'USER_AGENT': 'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1)'
})
f = open("/Users/kalpesh/work/data/test.csv")
for rec in f:
process.crawl(EmailSpider, record=rec)
f.close()
process.start()
If I understand your intend correctly you could try the following proceeding:
a) collect the mail-ids in self.emails like
def extemail(self, response):
emails = response.css('body').re('[a-zA-Z0-9_.+-]+#[a-zA-Z0-9-]+\.[a-zA-Z0-9-.]+')
self.emails = emails.copy()
yield {
'emails': emails
}
(Or on what other way you get the email-ids from emails)
b) add a close(self, reason) method as in GitHub-Example which is called when the spider has finished
def close(self, reason):
mails_for_record = ""
for mail in self.emails:
mails_for_record += mail + "|"
print(self.record + mails_for_record)
Please also note, I read somewhere that for some versions of Scrapy it is def close(self, reason), for others it is def closed(self, reason).
Hope, this proceeding helps you.
You should visit all the site pages before yielding result for this one site.
This means that you should have queue of pages to visit and results storage.
It can be done using meta.
Some pseudocode:
def parse(self, response):
meta = response.meta
if not meta.get('seen'):
# -- finding urls of contact and about us pages --
# -- putting it to meta['queue'] --
# -- setting meta['seen'] = True
page_emails_found = ...getting emails here...
# --- extending already discovered emails
# --- from other pages/initial empty list with new ones
meta['emails'].extend(page_emails_found)
# if queue isn't empty - yielding new request
if meta['queue']:
next_url = meta['queue'].pop()
yield Request(next_url, callback=self.parse, meta=copy(meta))
# if queue is empty - yielding result from meta
else:
yield {'url': current_domain, 'emails': meta['emails']}
Something like this..
I'm trying to scrape data from amazon India website. I am not able collect response and parse the elements using the yield() method when:
1) I have to move from product page to review page
2) I have to move from one review page to another review page
Product page
Review page
Code flow:
1) customerReviewData() calls the getCustomerRatingsAndComments(response)
2) The getCustomerRatingsAndComments(response)
finds the URL of the review page and call the yield request method with getCrrFromReviewPage(request) as callback method, with url of this review page
3) getCrrFromReviewPage() gets new response of the firstreview page and scrape all the elements from the first review page (page loaded) and add it to customerReviewDataList[]
4) get URL of the next page if it exists and recursively call getCrrFromReviewPage() method, and crawl elements from next page, until all the review page is crawled
5) All the reviews gets added to the customerReviewDataList[]
I have tried playing around with yield() changing the parameters and also looked up the scrapy documentation for yield() and Request/Response yield
# -*- coding: utf-8 -*-
import scrapy
import logging
customerReviewDataList = []
customerReviewData = {}
#Get product name in <H1>
def getProductTitleH1(response):
titleH1 = response.xpath('normalize-space(//*[#id="productTitle"]/text())').extract()
return titleH1
def getCustomerRatingsAndComments(response):
#Fetches the relative url
reviewRelativePageUrl = response.css('#reviews-medley-footer a::attr(href)').extract()[0]
if reviewRelativePageUrl:
#get absolute URL
reviewPageAbsoluteUrl = response.urljoin(reviewRelativePageUrl)
yield Request(url = reviewPageAbsoluteUrl, callback = getCrrFromReviewPage())
self.log("yield request complete")
return len(customerReviewDataList)
def getCrrFromReviewPage():
userReviewsAndRatings = response.xpath('//div[#id="cm_cr-review_list"]/div[#data-hook="review"]')
for userReviewAndRating in userReviewsAndRatings:
customerReviewData[reviewTitle] = response.css('#cm_cr-review_list .review-title span ::text').extract()
customerReviewData[reviewDescription] = response.css('#cm_cr-review_list .review-text span::text').extract()
customerReviewDataList.append(customerReviewData)
reviewNextPageRelativeUrl = response.css('#cm_cr-pagination_bar .a-pagination .a-last a::attr(href)')[0].extract()
if reviewNextPageRelativeUrl:
reviewNextPageAbsoluteUrl = response.urljoin(reviewNextPageRelativeUrl)
yield Request(url = reviewNextPageAbsoluteUrl, callback = getCrrFromReviewPage())
class UsAmazonSpider(scrapy.Spider):
name = 'Test_Crawler'
allowed_domains = ['amazon.in']
start_urls = ['https://www.amazon.in/Philips-Trimmer-Cordless-Corded-QT4011/dp/B00JJIDBIC/ref=sr_1_3?keywords=philips&qid=1554266853&s=gateway&sr=8-3']
def parse(self, response):
titleH1 = getProductTitleH1(response),
customerReviewData = getCustomerRatingsAndComments(response)
yield{
'Title_H1' : titleH1,
'customer_Review_Data' : customerReviewData
}
I'm getting the following response:
{'Title_H1': (['Philips Beard Trimmer Cordless and Corded for Men QT4011/15'],), 'customer_Review_Data': <generator object getCustomerRatingsAndComments at 0x048AC630>}
The "Customer_review_Data" should be a list of dict of title and review
I am not able to figure out as to what mistake I am doing here.
When I use the log() or print() to see what data is captured in customerReviewDataList[], unable to see the data in the console either.
I am able to scrape all the reviews in customerReviewDataList[], if they are present in the product page,
In this scenario where I have to use the yield function I am getting the output stated above like this [https://ibb.co/kq8w6cf]
This is the kind of output I am looking for:
{'customerReviewTitle': ['Difficult to find a charger adapter'],'customerReviewComment': ['I already have a phillips trimmer which was only cordless. ], 'customerReviewTitle': ['Good Product'],'customerReviewComment': ['Solves my need perfectly HK']}]}
Any help is appreciated. Thanks in advance.
You should complete the Scrapy tutorial. The Following links section should be specially helpful to you.
This is a simplified version of your code:
def data_request_iterator():
yield Request('https://example.org')
class MySpider(Spider):
name = 'myspider'
start_urls = ['https://example.com']
def parse(self, response):
yield {
'title': response.css('title::text').get(),
'data': data_request_iterator(),
}
Instead, it should look like this:
class MySpider(Spider):
name = 'myspider'
start_urls = ['https://example.com']
def parse(self, response):
item = {
'title': response.css('title::text').get(),
}
yield Request('https://example.org', meta={'item': item}, callback=self.parse_data)
def parse_data(self, response):
item = response.meta['item']
# TODO: Extend item with data from this second response as needed.
yield item
I need to scrape the items of the first page and then go to the next button to go to the second page and scrape and so on.
This is my code, but only scrape the first item of each page, if there are 20 pages enter to every page and scrape only the first item.
Could anyone please help me .
Thank you
Apologies for my english.
class CcceSpider(CrawlSpider):
name = 'ccce'
item_count = 0
allowed_domain = ['www.example.com']
start_urls = ['https://www.example.com./afiliados value=&categoria=444&letter=']
rules = {
# Reglas Para cada item
Rule(LinkExtractor(allow = (), restrict_xpaths = ('//li[#class="pager-next"]/a')), callback = 'parse_item', follow = True),
}
def parse_item(self, response):
ml_item = CcceItem()
#info de producto
ml_item['nombre'] = response.xpath('normalize-space(//div[#class="news-col2"]/h2/text())').extract()
ml_item['url'] = response.xpath('normalize-space(//div[#class="website"]/a/text())').extract()
ml_item['correo'] = response.xpath('normalize-space(//div[#class="email"]/a/text())').extract()
ml_item['descripcion'] = response.xpath('normalize-space(//div[#class="news-col4"]/text())').extract()
self.item_count += 1
if self.item_count > 5:
#insert_table(ml_item)
raise CloseSpider('item_exceeded')
yield ml_item
As you haven't given an working target url, I'm a bit guessing here, but most probably this is the problem:
parse_item should be a parse_page (and act accordingly)
Scrapy is downloading a full page which has - according to your description - multiple items and then passes this as a response object to your parse method.
It's your parse method's responsibility to process the whole page by iterating over the items displayed on the page and creating multiple scraped items accordingly.
The scrapy documentation has several good examples for this, one is here: https://doc.scrapy.org/en/latest/topics/selectors.html#working-with-relative-xpaths
Basically your code structure in def parse_XYZ should look like this:
def parse_page(self, response):
items_on_page = response.xpath('//...')
for sel_item in items_on_page:
ml_item = CcceItem()
#info de producto
ml_item['nombre'] = # ...
# ...
yield ml_item
Insert the right xpaths for getting all items on the page and adjust your item xpaths and you're ready to go.
Source Code
for hotel in response.xpath('//div[contains(#class,"sr_item")]'):
hotelName = hotel.xpath('.//span[contains(#class,"sr-hotel__name")]//text()')
print hotelName.extract()
hotel_image = hotel.xpath('.//img[contains(#class, "hotel_image")]//#src')
print hotel_image.extract()
hotelLink = hotel.xpath('.//a[contains(#class,"hotel_name_link")]//#href')
yield scrapy.Request(response.urljoin(hotelLink[0].extract()), self.parseHotel)
next_page = response.xpath('//a[contains(#class,"paging-next")]//#href')
My code can be seen attached as an image. As, you can see, inside the for loop. I want Scrapy to return from the function "hotelParse", then continue, executing the for loop.
However, now, it firsts prints all the hotel names, meaning, the for loop get executed completely, then "hotelParse" starts yielding.
This would mess up my output, once, I start assigning values to the item object.
Almost definitely what you're trying to do is the "Passing additional data to callback functions" from the Scrapy documentation. Here's how it would look for your case:
def parse_item(self, response):
for hotel in response.xpath('//div[contains(#class,"sr_item")]'):
item = HotelItem()
hotelName = hotel.xpath('.//span[contains(#class,"sr-hotel__name")]//text()')
print hotelName.extract()
item["hotelName"] = hotelName
hotel_image = hotel.xpath('.//img[contains(#class, "hotel_image")]//#src')
print hotel_image.extract()
item["hotel_image"] = hotel_image
hotelLink = hotel.xpath('.//a[contains(#class,"hotel_name_link")]//#href')
request = scrapy.Request(response.urljoin(hotelLink[0].extract()), self.parseHotel)
request.meta['item'] = item
yield request
next_page = response.xpath('//a[contains(#class,"paging-next")]//#href')
yield scrapy.Request(response.urljoin(next_page.extract()), self.parse_item)
def parseHotel(self, response):
item = response.meta['item']
item["extra_1"] = response.xpath('/example/text()').extract_first()
item["extra_2"] = response.xpath('/example2/text()').extract_first()
yield item