Here's my code to crawl RSS BBC but it returned nothing.
I checked xpath interactively using "Inspect" in Chrome and it seemed OK.
import scrapy
class BbcSpider(scrapy.Spider):
name = "bbc"
allowed_domains = ["feeds.bbci.co.uk/news/world/rss.xml"]
start_urls = ["https://feeds.bbci.co.uk/news/world/rss.xml"]
def parse(self, response):
all_rss = response.xpath('//div[#id="item"]/ul/li')
for rss in all_rss:
rss_url = rss.xpath('//a/#href').extract_first()
rss_title = rss.xpath('//a/text()').extract_first()
rss_short_content = rss.xpath('//div/text()').extract_first()
yield {
"URL": rss_url,
"Title": rss_title,
"Short Content": rss_short_content
}
Any help would be greatly appreciated!
Response is a .txt file so you can parse it in following way:
import scrapy
class BbcSpider(scrapy.Spider):
name = "bbc"
allowed_domains = ["feeds.bbci.co.uk/news/world/rss.xml"]
start_urls = ["https://feeds.bbci.co.uk/news/world/rss.xml"]
def parse(self, response):
rss_url = response.xpath('//link/text()').extract()[2:]
rss_title = response.xpath('//title/text()').extract()[2:]
rss_short_content = response.xpath('//description/text()').extract()
for i in range(len(rss_url)):
yield {
"URL": rss_url[i],
"Title": rss_title[i],
"Short Content": rss_short_content[i],
}
The first two URLs and titles had nothing to do with news so I dropped them.
The main reason for this crawler not yielding any data, because all_rss list is empty. Secondly, In Scrapy you have access to only the first GET request so if you open-source code using ctrl/cmd + U, you will be unable to find item id. So your
response.xpath('//div[#id="item"]/ul/li') selector returns empty list and for loop didn't execute.
Try this
for rss in response.css('item'):
rss_url = rss.css('link::text').extract_first()
rss_title = rss.css('title::text').extract_first()
rss_short_content = response.css('description::text').extract_first()
Related
I'm trying to extract some fields from start_url, and want to add the PDF link fields that are obtained from each URL that has been obtained. I tried Scrapy but no lucky to add PDF fields. Here is my code,
import scrapy
class MybookSpider(scrapy.Spider):
name = 'mybooks'
allowed_domains = ['gln.kemdikbud.go.id']
start_urls = ['https://gln.kemdikbud.go.id/glnsite/category/modul-gls/page/1/']
def parse(self, response):
#pass
# gathering all links
book_urls = response.xpath("//div[#class='td-module-thumb']//a/#href").getall()
total_url = len(book_urls)
i = 0
for a in range(total_url):
title = response.xpath("//h3[#class='entry-title td-module-title']//a/text()")[i].extract()
url_source = response.xpath("//div[#class='td-module-thumb']//a/#href")[i].get()
thumbnail = response.xpath('//*[#class="td-block-span4"]//*[has-class("entry-thumb")]//#src')[i].extract()
pdf = scrapy.Request(book_urls[i], self.find_details)
yield {
'Book Title': title,
'URL': url_source,
'Mini IMG': thumbnail,
'PDF Link': pdf
}
i+=1
def find_details(self, response):
# find PDF link
pdf = response.xpath("//div[#class='td-post-content']//a/#href").get()
return pdf
How do I add a PDF link field correctly when I export it as CSV? Thanks in advance
pdf = scrapy.Request(book_urls[i], self.find_details)
It means pdf variable is a request.
Scrapy is asynchronous so you'll have trouble to get a return value from a function. Just make a request and pass the details to the callback with cb_kwargs.
import scrapy
class MybookSpider(scrapy.Spider):
name = 'mybooks'
allowed_domains = ['gln.kemdikbud.go.id']
start_urls = ['https://gln.kemdikbud.go.id/glnsite/category/modul-gls/page/1/']
def parse(self, response):
# gathering all links
book_urls = response.xpath("//div[#class='td-module-thumb']//a/#href").getall()
total_url = len(book_urls)
for i in range(total_url):
item = dict()
item['title'] = response.xpath("//h3[#class='entry-title td-module-title']//a/text()")[i].extract()
item['url_source'] = response.xpath("//div[#class='td-module-thumb']//a/#href")[i].get()
item['thumbnail'] = response.xpath('//*[#class="td-block-span4"]//*[has-class("entry-thumb")]//#src')[i].extract()
yield scrapy.Request(url=book_urls[i], callback=self.find_details, cb_kwargs={'item': item})
def find_details(self, response, item):
# find PDF link
item['pdf'] = response.xpath("//div[#class='td-post-content']//a/#href").get()
yield item
I am trying to scrape all the hyperlinks of the website for all the news articles to extract the content. I am able to retrieve all the data from all the articles which are loaded when you open the website but when you scroll down on the site more articles are automatically loaded due to an event. Currently I am using Scrapy_Splash but I receive the same amount of links when I do not use splash. I hope you can help me out. The spider is called class FinanceNewsScraperSpider(scrapy.Spider):. Below you can see my code:
name = "audinewsarticles"
def start_requests(self):
start_urls = ['https://www.reuters.com/companies/NSUG.DE/news',
]
urls = start_urls
for url in urls:
yield scrapy.Request(url=url, callback=self.parse_newspage)
def parse_newspage(self, response):
links = response.xpath('//a[contains(#href,"/article/")]/#href').extract() #extract hyperlink
for url in links:
yield SplashRequest(url=url,
callback=self.parse_article,
endpoint='render.html')
def parse_article(self, response):
item = AudiItem()
item['article_link'] = response.url
item['article_headline'] = response.xpath('//*[contains(#class,"ArticleHeader_headline")]/text()').extract()
item['article_date'] = response.xpath('//*[contains(#class,"ArticleHeader_date")]/text()').extract()
item['article_text'] = response.xpath('//div[#class="StandardArticleBody_body"]//p/text()').extract()
print(item)
#saving data to file.
path = 'news/'
file = 'audinews_' + str(datetime.now().strftime("%Y%m%d-%H%M")) + '.csv'
file_name = open(path + file, 'a')
fieldnames = ['article_link', 'article_headline','article_date','article_text'] #adding header to file
writer = csv.writer(file_name, lineterminator='\n')
writer.writerow([item[key] for key in item.keys()])
Please let me know if you need more information from me.
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 help to convert relative URL to absolute URL in Scrapy spider.
I need to convert links on my start pages to absolute URL to get the images of the scrawled items, which are on the start pages. I unsuccessfully tried different ways to achieve this and I'm stuck. Any suggestion?
class ExampleSpider(scrapy.Spider):
name = "example"
allowed_domains = ["example.com"]
start_urls = [
"http://www.example.com/billboard",
"http://www.example.com/billboard?page=1"
]
def parse(self, response):
image_urls = response.xpath('//div[#class="content"]/section[2]/div[2]/div/div/div/a/article/img/#src').extract()
relative_url = response.xpath(u'''//div[contains(concat(" ", normalize-space(#class), " "), " content ")]/a/#href''').extract()
for image_url, url in zip(image_urls, absolute_urls):
item = ExampleItem()
item['image_urls'] = image_urls
request = Request(url, callback=self.parse_dir_contents)
request.meta['item'] = item
yield request
There are mainly three ways to achieve that:
Using urljoin function from urllib:
from urllib.parse import urljoin
# Same as: from w3lib.url import urljoin
url = urljoin(base_url, relative_url)
Using the response's urljoin wrapper method, as mentioned by Steve.
url = response.urljoin(relative_url)
If you also want to yield a request from that link, you can use the handful response's follow method:
# It will create a new request using the above "urljoin" method
yield response.follow(relative_url, callback=self.parse)
I want my spider to scrape the listings on every page of a website. I used CrawlSpider and LinkExtractor. But when I looked at the csv file, nothing on the first page (i.e. start url) was scraped. The scraped items started from page 2. I tested my crawler on the Scrapy shell and it seemed fine. I can't figure out where the problem lies. Below is my spider code. Please help. Thanks a lot!
import scrapy
from scrapy.spiders import CrawlSpider, Rule
from scrapy.linkextractors import LinkExtractor
from shputuo.items_shputuo import ShputuoItem
class Shputuo(CrawlSpider):
name = "shputuo"
allowed_domains = ["shpt.gov.cn"] # DO NOT use www in allowed domains
start_urls = ["http://www.shpt.gov.cn/gb/n6132/n6134/n6156/n7110/n7120/index.html"]
rules = (
Rule(LinkExtractor(allow=(), restrict_xpaths=("//div[#class = 'page']/ul/li[5]/a",)), callback="parse_items", follow= True),
)
def parse_items(self, response):
for sel in response.xpath("//div[#class = 'neirong']/ul/li"):
item = ShputuoItem()
word = sel.xpath("a/text()").extract()[0]
item['id'] = word[3:11]
item['title'] = word[11:len(word)]
item['link'] = "http://www.shpt.gov.cn" + sel.xpath("a/#href").extract()[0]
item['time2'] = sel.xpath("span/text()").extract()[0][1:11]
request = scrapy.Request(item['link'], callback = self.parse_content)
request.meta['item'] = item
yield request
def parse_content(self, response):
item = response.meta['item']
item['question'] = response.xpath("//div[#id = 'ivs_content']/p[2]/text()").extract()[0]
item['question'] = "".join(map(unicode.strip, item['question'])) # get rid of unwated spaces and others
item['reply'] = response.xpath("//div[#id = 'ivs_content']/p[3]/text()").extract()[0]
item['reply'] = "".join(map(unicode.strip, item['reply']))
item['agency'] = item['reply'][6:10]
item['time1'] = "2015-" + item['question'][0] + "-" + item['question'][2]
yield item
looks like what you really need to do is to parse elements of the start_urls requests and not to only follow the rules.
For that use the parse_start_url method which is the callback by default of the start_urls requests.