#PAGINATION WEBSCRAPER CODE#
I would modify the code to include a column named 'airline' so you know which airline each review corresponds to. If I were to do the whole site, I would use the above and iterate over each airline here. Now, there is a Pagination selector available that unifies the Link and Element Click selector pagination functionality and brings it all together within one selector The selector will detect and. # "a few minutes error" 3 10 ✅ Trip Verified | I've flied with AirAsia man. As we are continuously working to develop and improve the Web Scraper extension to make it as user-friendly as possible, we have released a selector, that has been the most requested by our users. #"if approved I will get my money back" 1 10 ✅ Trip Verified | Kuala Lumpur to Melbourne. # header rating rating_out_of review_text time_of_review verified It using the piece of code above: req = Request("", headers=)
To iterate through the airlines I solved it using this code: Logging.getLogger('scrapy').setLevel(logging.WARNING) # minimizing the information presented on the scrapy log
#PAGINATION WEBSCRAPER WINDOWS#
'USER_AGENT': 'Mozilla/4.0 (compatible MSIE 7.0 Windows NT 5.1)', #'total': response.css('#main > -top > div.col-content > div > article > div.pagination-total::text').extract_first().split(" "), # use sub to replace \n\t \r from the result # to go to the pages inside the links (for each airline) - the page where the reviews are Yield response.follow(next_page, callback=self.parse_article) # take each element in the list of the airlinesįor airline in response.css("div.content ul.items li"):Īirline_url = airline.css('a::attr(href)').extract_first() # follow pagination linksįor href in response.css('#main > -top > div.col-content > div > article > ul li a'):įrom scrapy.crawler import CrawlerProcess I tried to loop through these URLs and also the following piece of code but scraping through the pagination is not working. The links of the pages are in the format: where 3 is the number of the page. I`m trying to get all the title of the reviews (not only the ones in the first page). I managed to get the data I need, but I am struggling with pagination on the web page. I`m trying to scrape some data for airlines from the following website.
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