Category : beautifulsoup

I want to learn webscraping in python, but I don’t really know how or where to start. My code runs, but it only returns an empty string import requests import urllib from urllib.request import urlopen from bs4 import BeautifulSoup #import pandas as pd html = urllib.request.urlopen("https://www.nba.com/games") soup= BeautifulSoup(html, "lxml") games= soup.find_all("li", class_= "w-full flex flex-col ..

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How would do you get the values from the red line in this plot below? Second graph: https://plotly.com/python/line-charts/ my attempt: import pandas as pd import numpy as np import requests from bs4 import BeautifulSoup header = { "User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.75 Safari/537.36", "X-Requested-With": "XMLHttpRequest" } link = ‘https://dash.gallery/python-docs-dash-snippets/_dash-update-component’ r ..

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My current task is to get information from XSD file (type of field, name of field etc). I have XSD file looks like that: <?xml version="1.0" encoding="UTF-8"?> <!– edited with XMLSpy v2018 rel. 2 sp1 (x64) (http://www.altova.com) by test (123321) –> <xs:schema xmlns:xs="http://www.w3.org/2001/XMLSchema" elementFormDefault="qualified" attributeFormDefault="unqualified"> <xs:complexType name="attribute"> <xs:annotation> <xs:documentation>Атрибуты ОГХ</xs:documentation> </xs:annotation> <xs:sequence> <xs:element name="owner_id"> <xs:annotation> ..

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As I got stuck on extracting names and links it doesn’t any response but it prints prices kindly anyone helps me link from where I scraping is:https://sehat.com.pk/categories/Over-The-Counter-Drugs/Diarrhea-and-Vomiting-/ import requests from bs4 import BeautifulSoup import pandas as pd import time url = ‘https://sehat.com.pk/categories/Over-The-Counter-Drugs/Diarrhea-and-Vomiting-/’ r = requests.get(url) time.sleep(6) soup = BeautifulSoup(r.content, ‘html.parser’) content = soup.find_all(‘div’, class_ = ..

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I’m trying to web scrape this page and I’m looking for a way to click the load more button using selenium python. I have tried with these codes driver.find_element(By.LINK_TEXT, "Load more").click() driver.find_element_by_xpath(‘//*[@id="root"]/div/div[1]/div[1]/main/div[2]/div[1]/div/button/span’).click() driver.find_element_by_xpath(‘//*[@id="root"]/div/div[1]/div[1]/main/div[2]/div[1]/div/button’).click() but none of the above have worked the main code,My alternative solution was using the scroll like this… def infinite(driver): scroll_pause_time = ..

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I tried scraping tables according to the question: Python BeautifulSoup scrape tables From the top solution, there I tried: HTML code: <div class="table-frame small"> <table id="rfq-display-line-items-list" class="table"> <thead id="rfq-display-line-items-header"> <tr> <th>Mfr. Part/Item #</th> <th>Manufacturer</th> <th>Product/Service Name</th> <th>Qty.</th> <th>Unit</th> <th>Ship Address</th> </tr> </thead> <tbody id="rfq-display-line-item-0"> <tr> <td><span class="small">43933</span></td> <td><span class="small">Anvil International</span></td> <td><span class="small">Cap Steel Black 1-1/2"</span></td> ..

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I am using beautiful soup to scrap a web page: http://www.jukuu.com/search.php?q=apple, I want to get the english sentence and the pair chineses translate demo sentence. Now I could find all english sentence and chinese sentence using this command: def parseDictWeb(self): print("parse….") url = "http://www.jukuu.com/search.php?q=apple" req = Request(url, headers={‘User-Agent’: ‘Mozilla/5.0’}) html_page = urlopen(req).read() soup = BeautifulSoup(html_page, ..

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