I have this code to scrape review text from IMDB. I want to retrieve the entire text from the review, but it skips every time there is a new line, for example: Saw an early screening tonight in Denver. I don’t know where to begin. So I will start at the weakest link. The acting.… Read More My scrapping code skips new line – Scrapy
I am a novice at this, but I’ve been trying to scrape data on a website (https://awards.decanter.com/DWWA/2022/search/wines?competitionType=DWWA) but I keep coming up empty. I’ve tried BeautifulSoup and Scrapy but I can’t get the text out. Eventually I want to get the row of each individual wine in the table into a dataframe/csv (from all pages)… Read More Trying to web scrape text from a table on a website
I’m trying to scrape a webpage, which have an unknown amount of < p> tags, in between a known div class.. Some pages have only 1 < p> tag, while others have 10 or even more.. How can I extract them all? Preferable inside one variable, so I can store them inside a csv like… Read More How to scrape a various amount of <p> in between a <div> class
I need to close file, but I can’t do that, because I use csv.writer, how can I close file? python def open_spider(self, spider): time = dt.now().strftime(TIME_FORMAT) file_path = self.results_dir / FILE_NAME.format(time) self.file = csv.writer(open(file_path, ‘w’)) self.file.writerow([‘Статус’, ‘Количество’]) >Solution : Instead of manually closing the file, it is a good practice to wrap the function under… Read More Python closing file
I am trying to scrape the names of players from this page: https://www.espncricinfo.com/series/england-in-pakistan-2022-1327226/pakistan-vs-england-1st-t20i-1327228/full-scorecard To do that I first get the tables containing the batting scorecards: batting_scorecard = response.xpath("//table[@class=’ds-w-full ds-table ds-table-md ds-table-auto ci-scorecard-table’]") Then I try to get the player names: batting_scorecard.xpath("//a[contains(@href,’/player/’)]/span/span/text()").getall() This returns a list that contains all the player names (as well as some… Read More Scrapy Returning Data Outside of Specified Elements
I am scraping data using Scrapy (Python3) from a website and I would like to skip an <a> tag withing the source code because there are two and both have the same classes as you can see in the picture below: I am trying the secect the <a> tag that is highlighted in blue. I’m… Read More Skipping HTML tag within Scrapy
I am trying to use scrappy to grab some data off of a public website. Thankfully the data mostly can be found in an xhr request here: But when I double click to see the actual response there is no data in the search_results item: I am just wondering what is going on with the… Read More XHR Request Preview Shows Data That Isnt Present In Response
I tried to get the URL of the search result articles in these ways: selector = response.xpath("//*[contains(@class, ‘bw-news-list’)]/a/@href").extract() selector = response.xpath("//*[contains(@class, ‘bw-search-results’)]/a/@href").extract() selector = response.css(‘ul.bw-news-list a::attr(href)’) but I’m not able to get any. This is the Site URL: https://www.businesswire.com/portal/site/home/search/?searchType=all&searchTerm=amputee&searchPage=1 >Solution : You are getting empty ReseltSet, because the webpage is loaded dynamically from external source(API)… Read More How to scrape all URLs using Scrapy?
As the title states, I am trying to run my scrapy program, the issue I am running into is that it seems to be only returning the yield from the initial url (https://www.antaira.com/products/10-100Mbps). I am unsure on where my program is not working, in my code I have also left some commented code on what… Read More Scrapy file, only running the initial start_urls instead of running though the whole list
import scrapy from scrapy.http import Request from bs4 import BeautifulSoup class TestSpider(scrapy.Spider): name = ‘test’ start_urls = [‘https://www.baroul-bucuresti.ro/index.php?urlpag=tablou-definitivi&p=1′%5D def parse(self, response): base_url=’https://www.baroul-bucuresti.ro’ soup=BeautifulSoup(response.text, ‘html.parser’) tra = soup.find_all(‘div’,class_=’panel-title’) productlinks=[] for links in tra: for link in links.find_all(‘a’,href=True)[1:]: comp=base_url+link[‘href’] yield Request(comp, callback=self.parse_book) d1=” def parse_book(self, response): title=response.xpath("//h1//text()").get() detail=response.xpath("//div[@class=’av_bot_left left’]//p") for i in range(len(detail)): if ‘Decizia de intrare:’… Read More using scrapy scrape some information