My code could return values of first two tags, but the behind won't in per tag.
HTML:
My code:
import bs4 as bs
import requests
resp = requests.get('https://q.stock.sohu.com/cn/bk_4401.shtml')
resp.encoding = 'gb2312'
soup = bs.BeautifulSoup(resp.text, 'lxml')
tab_sgtsc_list = soup.find('table').find('tbody').find_all('tr')
for tab_sgtsc in tab_sgtsc_list:
print('**************************************')
print(tab_sgtsc.find_all('td')[0].text)
print(tab_sgtsc.find_all('td')[1].text)
print(tab_sgtsc.find_all('td')[2].text)
print(tab_sgtsc.find_all('td')[3].text)
print('**************************************')
Result:
The table is rendered dynamically by JavaScript so you won't get much from pure HTML.
However, selenium and pandas come to the rescue!
Required:
Chrome driver
selenium
pip install pandas
Here's how:
import pandas as pd
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.ui import WebDriverWait
options = Options()
options.headless = True
driver = webdriver.Chrome(options=options)
driver.get("https://q.stock.sohu.com/cn/bk_4401.shtml")
wait = WebDriverWait(driver, 10)
element = wait.until(
EC.visibility_of_element_located((By.CSS_SELECTOR, 'table.tableMSB'))
).text.replace("点击按代码排序查询", "").split()
table = [element[i:i + 12] for i in range(0, len(element), 12)]
pd.DataFrame(table[1:], columns=table[0]).to_csv("your_table_data.csv", index=False)
Output:
Related
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver import ActionChains
from selenium.webdriver.common.by import By
from time import sleep
from datetime import datetime
import pandas as pd
import warnings
import os
os.chdir('C:/Users/paulc/Documents/Medium Football')
warnings.filterwarnings('ignore')
base_url = 'https://www.sportingindex.com/spread-betting/football/international-world-cup'
option = Options()
option.headless = False
driver = webdriver.Chrome("C:/Users/paulc/Documents/Medium Football/chromedriver.exe",options=option)
driver.get(base_url)
links = [elem.get_attribute("href") for elem in driver.find_elements(By.TAG_NAME,"a")]
this code retrieves all the href links on this page. I want to search the links list and return only the matches that contain 'https://www.sportingindex.com/spread-betting/football/international-world-cup/group_a'
however I get the AttributeError: 'NoneType' object has no attribute 'startswith'
using
import re
[x for x in links if x.startswith('https://www.sportingindex.com/spread-betting/football/international-world-cup/group_a')]
help is appreciated.
Instead of collecting all a elements on the page where will be a lot of irrelevant results you can use more precise locator.
So, instead of
driver.find_elements(By.TAG_NAME,"a")
Use this:
driver.find_elements(By.XPATH,"//a[contains(#href,'https://www.sportingindex.com/spread-betting/football/international-world-cup/group_a')]")
This will give you desired elements only.
And this
links = [elem.get_attribute("href") for elem in driver.find_elements(By.XPATH,"//a[contains(#href,'https://www.sportingindex.com/spread-betting/football/international-world-cup/group_a')]")]
will directly give you the wanted links only.
UPD
In case this is giving you an empty list you possibly are missing a delay. So, you can simply add some pause before that line, like time.sleep(2) but it's better to use WebDriverWait expected_conditions explicit waits for that.
I can't check it since my computer is blocking that link due to my company policy since that is a gambling site, but normally something like this should work:
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions as EC
wait = WebDriverWait(driver, 10)
links = [elem.get_attribute("href") for elem in wait.until(EC.visibility_of_all_elements_located((By.XPATH, "//a[contains(#href,'https://www.sportingindex.com/spread-betting/football/international-world-cup/group_a')]")))]
The following code is filtering to grab the right links
import time
from bs4 import BeautifulSoup
import pandas as pd
from selenium.webdriver.chrome.service import Service
from selenium import webdriver
webdriver_service = Service("./chromedriver") #Your chromedriver path
driver = webdriver.Chrome(service=webdriver_service)
driver.get('https://www.sportingindex.com/spread-betting/football/international-world-cup')
driver.maximize_window()
time.sleep(8)
soup = BeautifulSoup(driver.page_source,"lxml")
for u in soup.select('a[class="gatracking"]'):
link = 'https://www.sportingindex.com' + u.get('href')
if '-v-' in link:
print(link)
Output:
https://www.sportingindex.com/spread-betting/football/international-world-cup/group_a.24fdf8f5-b69b-4341-b6b4-d27605f7f7fd/spain-v-germany
https://www.sportingindex.com/spread-betting/football/international-world-cup/group_a.c9bdf787-791a-47e0-b77c-a2d4cf567bfd/cameroon-v-serbia
https://www.sportingindex.com/spread-betting/football/international-world-cup/group_a.5eddaa44-666b-47dc-8a0f-4ac758de00dc/south-korea-v-ghana
https://www.sportingindex.com/spread-betting/football/international-world-cup/group_a.70cefd39-60f7-415e-9cb5-7a56acd403d6/brazil-v-switzerland
https://www.sportingindex.com/spread-betting/football/international-world-cup/group_a.7fe0285e-366f-4f3c-b77f-4c96077a6c71/portugal-v-uruguay
https://www.sportingindex.com/spread-betting/football/international-world-cup/group_a.dd7a995d-7478-45f8-af27-9f234d37cc76/ecuador-v-senegal
https://www.sportingindex.com/spread-betting/football/international-world-cup/group_a.92232207-0f1e-4bb1-bacd-1332ef6b9007/netherlands-v-qatar
https://www.sportingindex.com/spread-betting/football/international-world-cup/group_a.b913620e-69c7-4606-a153-7b48589b7c94/iran-v-usa
https://www.sportingindex.com/spread-betting/football/international-world-cup/group_a.7a4a18fb-d4ee-4880-849f-f1afdea33cd5/wales-v-england
https://www.sportingindex.com/spread-betting/football/international-world-cup/group_a.20c098b4-4e97-4fd1-97b0-f42d84424361/australia-v-denmark
https://www.sportingindex.com/spread-betting/football/international-world-cup/group_a.5a7476e2-8d35-4a8e-8065-b4339e79f395/tunisia-v-france
https://www.sportingindex.com/spread-betting/football/international-world-cup/group_a.8a869f02-9dd0-49c5-91bd-209ee224fc2a/poland-v-argentina
https://www.sportingindex.com/spread-betting/football/international-world-cup/group_a.6379b787-f246-4ba4-a896-28a97396d02f/saudi-arabia-v-mexico
https://www.sportingindex.com/spread-betting/football/international-world-cup/group_a.52737cfd-da19-42dd-b15b-c16c3e8e9a86/canada-v-morocco
https://www.sportingindex.com/spread-betting/football/international-world-cup/group_a.168fab1f-8360-4e87-ba84-bfbd11a4a207/croatia-v-belgium
https://www.sportingindex.com/spread-betting/football/international-world-cup/group_a.9fb541f0-43a4-409c-8e54-e34a43965714/costa-rica-v-germany
https://www.sportingindex.com/spread-betting/football/international-world-cup/group_a.7379c8a7-ab5d-4653-b487-22bf7ff8eefe/japan-v-spain
https://www.sportingindex.com/spread-betting/football/international-world-cup/group_a.e7e4c6be-98b7-4258-ba40-74c54a790fe1/ghana-v-uruguay
https://www.sportingindex.com/spread-betting/football/international-world-cup/group_a.e4c18c81-565e-47ce-b08d-9aed62c88a5d/south-korea-v-portugal
https://www.sportingindex.com/spread-betting/football/international-world-cup/group_a.18f44028-e23d-48d4-970b-e75c164589bd/cameroon-v-brazil
https://www.sportingindex.com/spread-betting/football/international-world-cup/group_a.526f9b1b-6d95-4f44-abce-e0a6a30acfd4/serbia-v-switzerland
https://www.sportingindex.com/spread-betting/football/international-world-cup/group_a.24fdf8f5-b69b-4341-b6b4-d27605f7f7fd/spain-v-germany
https://www.sportingindex.com/spread-betting/football/international-world-cup/group_a.c9bdf787-791a-47e0-b77c-a2d4cf567bfd/cameroon-v-serbia
https://www.sportingindex.com/spread-betting/football/international-world-cup/group_a.5eddaa44-666b-47dc-8a0f-4ac758de00dc/south-korea-v-ghana
https://www.sportingindex.com/spread-betting/football/international-world-cup/group_a.70cefd39-60f7-415e-9cb5-7a56acd403d6/brazil-v-switzerland
https://www.sportingindex.com/spread-betting/football/international-world-cup/group_a.7fe0285e-366f-4f3c-b77f-4c96077a6c71/portugal-v-uruguay
https://www.sportingindex.com/spread-betting/football/international-world-cup/group_a.24fdf8f5-b69b-4341-b6b4-d27605f7f7fd/spain-v-germany
https://www.sportingindex.com/spread-betting/rugby-union/france-top-14/group_a.ad22f34f-9cd6-47b4-a826-0c0f0dce7df2/lyon-v-toulouse
https://www.sportingindex.com/spread-betting/football/international-world-cup/group_a.24fdf8f5-b69b-4341-b6b4-d27605f7f7fd/spain-v-germany
https://www.sportingindex.com/spread-betting/rugby-union/france-top-14/group_a.ad22f34f-9cd6-47b4-a826-0c0f0dce7df2/lyon-v-toulouse
https://www.sportingindex.com/spread-betting/football/international-world-cup/group_a.c9bdf787-791a-47e0-b77c-a2d4cf567bfd/cameroon-v-serbia
https://www.sportingindex.com/spread-betting/football/international-world-cup/group_a.5eddaa44-666b-47dc-8a0f-4ac758de00dc/south-korea-v-ghana
https://www.sportingindex.com/spread-betting/football/international-world-cup/group_a.70cefd39-60f7-415e-9cb5-7a56acd403d6/brazil-v-switzerland
https://www.sportingindex.com/spread-betting/football/international-world-cup/group_a.7fe0285e-366f-4f3c-b77f-4c96077a6c71/portugal-v-uruguay
I am trying to scrape a table on a website. The problem is that there is no <tbody> in the html code. I tired with both requests and selenium, but always the same result. Does any body have any idea?
This is the code(with requests) website: https://bscscan.com/token/0xAdeaE50E0097fBf8139Bdff45e7ed00de4b14170#balances
from urllib.request import Request, urlopen
import bs4
link="https://bscscan.com/token/0xAdeaE50E0097fBf8139Bdff45e7ed00de4b14170#balances"
req = Request(link, headers={'User-Agent': 'Mozilla/5.0'})
webpage = urlopen(req).read()
soup = bs4.BeautifulSoup(webpage,"html.parser" )
print(soup)
This is with selenium:
import time
import bs4
from selenium import webdriver
from webdriver_manager.microsoft import EdgeChromiumDriverManager
from selenium.webdriver.chrome.service import Service
from selenium.webdriver.common.by import By
driver = webdriver.Edge(service=Service(EdgeChromiumDriverManager().install()))
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
driver.get("https://bscscan.com/token/0xAdeaE50E0097fBf8139Bdff45e7ed00de4b14170#balances")
time.sleep(7)
html=driver.page_source
soup=bs4.BeautifulSoup(html,"lxml" )
print(soup)
WebDriverWait(driver, 20).until(EC.visibility_of_element_located((By.CSS_SELECTOR, ".table > tbody:nth-child(2)")))
print(driver.page_source)
The table you are trying to access is inside iframe. You will need tos switch to that iframe in order to access that element:
import time
import bs4
from selenium import webdriver
from webdriver_manager.microsoft import EdgeChromiumDriverManager
from selenium.webdriver.chrome.service import Service
from selenium.webdriver.common.by import By
driver = webdriver.Edge(service=Service(EdgeChromiumDriverManager().install()))
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
driver.get("https://bscscan.com/token/0xAdeaE50E0097fBf8139Bdff45e7ed00de4b14170#balances")
time.sleep(7)
html=driver.page_source
soup=bs4.BeautifulSoup(html,"lxml" )
print(soup)
WebDriverWait(driver, 10).until(EC.frame_to_be_available_and_switch_to_it((By.CSS_SELECTOR,"iframe#tokeholdersiframe")))
WebDriverWait(driver, 20).until(EC.visibility_of_element_located((By.CSS_SELECTOR, ".table > tbody:nth-child(2)")))
print(driver.page_source)
When finished, you will have to switch back to the default content with
driver.switch_to.default_content()
I've been at this for hours and haven't made any progress. I'm trying to click on the next button on this page here
Here's my code:
#!/usr/local/bin python3
import sys
import time
import re
import logging
from selenium import webdriver
from selenium.webdriver.firefox.options import Options as options
from bs4 import BeautifulSoup as bs
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.common.by import By
from selenium.common.exceptions import TimeoutException
from selenium.webdriver.common.action_chains import ActionChains
_USE_VIRTUAL_DISPLAY = False
_FORMAT = '%(asctime)s - %(levelname)s - %(name)s - %(message)s'
# logging.basicConfig(filename=LOG_FILENAME,level=logging.DEBUG)
logging.basicConfig(format=_FORMAT, level=logging.INFO)
_LOGGER = logging.getLogger(sys.argv[0])
_DEFAULT_SLEEP = 0.5
try:
options = options()
# options.headless = True
driver = webdriver.Firefox(options=options, executable_path=r"/usr/local/bin/geckodriver")
print("Started Browser and Driver")
except:
_LOGGER.info("Can not run headless mode.")
url = 'https://www.govinfo.gov/app/collection/uscourts/district/alsd/2021/%7B%22pageSize%22%3A%22100%22%2C%22offset%22%3A%220%22%7D'
driver.get(url)
time.sleep(5)
page = driver.page_source
soup = bs(page, "html.parser")
next_page = WebDriverWait(driver,5).until(EC.element_to_be_clickable((By.XPATH,'//*[#id="collapseOne1690"]/div/span[1]/div/ul/li[8]/a')))
if next_page:
print('*****getting next page*****')
# driver.execute_script('arguments[0].click()', next_page)
next_page.click()
time.sleep(3)
else:
print('no next page')
driver.quit()
I get a timeout error. I've tried changing the XPath. I've tried ActionChains to scroll into view and none have worked. Any help appreciated.
1 Your XPATH does not work because it uses dynamic class name collapseOne1690, as was mentioned earlier.
Also, it's not very stable even if you used a part of this class name.
If you prefer XPaths, I'd suggest this one: //span[#class='custom-paginator']//li[#class='next fw-pagination-btn']/a or just //li[#class='next fw-pagination-btn']/a. You can also use css selector: .next.fw-pagination-btn
2 I got rid of logging code because it also has some issues, re-check it.
3 5 seconds explicit wait is too small. Make it at least 10 seconds, better 15. It's just a suggestion.
The smallest reproducible code which clicks the button and uses Firefox is:
from selenium import webdriver
from selenium.webdriver.firefox.options import Options as options
from bs4 import BeautifulSoup as bs
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.common.by import By
options = options()
# options.headless = True
driver = webdriver.Firefox(options=options)
print("Started Browser and Driver")
url = 'https://www.govinfo.gov/app/collection/uscourts/district/alsd/2021/%7B%22pageSize%22%3A%22100%22%2C%22offset%22%3A%220%22%7D'
driver.get(url)
page = driver.page_source
soup = bs(page, "html.parser")
print(soup)
next_page = WebDriverWait(driver, 15).until(
EC.element_to_be_clickable((By.XPATH, "//span[#class='custom-paginator']//li[#class='next fw-pagination-btn']/a")))
next_page.click()
# driver.quit()
It appears when I load up this page that the div id's are assigned dynamically. The first time I loaded the page, the id was collapseOne5168, the second time it was collapseOne1136
You might consider using find_element_by_class_name("next fw-pagination-btn") instead?
I've been having trouble trying to extract the phone number after clicking the "llamar" button. So far I've used the xpath method with selenium and also tried using beautiful soup to extract the number but unfortunately nothing has worked. I usually get an invalid selector error (if I use an xpath selector with selenium) and with BS4 I get a - AttributeError: 'NoneType' object has no attribute 'text' ...
I hope you can help me out!
Here is the url to the link - https://www.milanuncios.com/venta-de-pisos-en-malaga-malaga/portada-alta-carlos-de-haya-carranque-386352344.htm
Heres the code that I tried:
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from bs4 import BeautifulSoup
import pandas as pd
import time
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
from selenium.common.exceptions import TimeoutException
from selenium.common.exceptions import NoSuchElementException
from selenium.common.exceptions import UnexpectedAlertPresentException
url = 'https://www.milanuncios.com/venta-de-pisos-en-malaga-malaga/portada-alta-carlos-de-haya-carranque - 386352344.htm'
path = r'C:\Users\WL-133\anaconda3\Lib\site-packages\selenium\webdriver\chrome\chromedriver.exe'
path1 = r'C:\Users\WL-133\anaconda3\Lib\site-packages\selenium\webdriver\firefox'
# driver = webdriver.Chrome(path)
options = Options()
driver = webdriver.Chrome(path)
driver.get(url)
a = []
mah_div = driver.page_source
soup = BeautifulSoup(mah_div, features='lxml')
cookie_button = '//*[#id="sui-TcfFirstLayerModal"]/div/div/footer/div/button[2]'
btn_press = driver.find_element_by_xpath(cookie_button)
btn_press.click()
llam_button = '//*[#id="ad-detail-contact"]/a[2]'
llam_press = driver.find_element_by_xpath(llam_button)
llam_press.click()
time.sleep(10)
for item in soup.find_all("div", {"class": "contenido"}):
a.append(item.find("div", {"class": "plaincontenido"}).text)
print(a)
The phone is stored inside Javascript. You can use re module to extract it:
import re
import requests
from bs4 import BeautifulSoup
url = "https://www.milanuncios.com/venta-de-pisos-en-malaga-malaga/portada-alta-carlos-de-haya-carranque-386352344.htm"
phone_url = "https://www.milanuncios.com/datos-contacto/?usePhoneProxy=0&from=detail&includeEmail=false&id={}"
ad_id = re.search(r"(\d+)\.htm", url).group(1)
html_text = requests.get(phone_url.format(ad_id)).text
soup = BeautifulSoup(html_text, "html.parser")
phone = re.search(r"getTrackingPhone\((.*?)\)", html_text).group(1)
print(soup.select_one(".texto").get_text(strip=True), phone)
Prints:
ana (Particular) 639....
With Selenium you will need to click the button and to switch to iframe.
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
wait.until(EC.element_to_be_clickable(
(By.CSS_SELECTOR, ".def-btn.phone-btn")))
tel_button = driver.find_element_by_css_selector(".def-btn.phone-btn")
tel_button.click()
wait.until(EC.frame_to_be_available_and_switch_to_it((By.ID, "ifrw")))
wait.until(EC.visibility_of_element_located((By.CSS_SELECTOR,".texto>.telefonos")))
tel_number = driver.find_element_by_css_selector(".texto>.telefonos").text
Please note, I used much stable locators.
With your help, I was able to get a scraper running, but now I am stuck when it comes to iterating. Ultimately, I want to scraper to run through different URLs, but I'm getting confused in the syntax. I am using Selenium to open the web page and then BeautifulSoup to extract the data. I think I need to define the URLs and then use something like:
for url in urls
but I am not sure how to use this. Reading other answers and videos has left me scratching my head.
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
import csv
import time
from selenium.webdriver.common.action_chains import ActionChains
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.common.keys import Keys
from bs4 import BeautifulSoup as soup
import pandas as pd
urls = ["https://racing.hkjc.com/racing/information/English/Racing/LocalResults.aspx?RaceDate=2021/02/06&Racecourse=ST&RaceNo=1","https://racing.hkjc.com/racing/information/English/Racing/LocalResults.aspx?RaceDate=2021/02/06&Racecourse=ST&RaceNo=2"]
driver = webdriver.Chrome()
driver.get(urls)
for url in urls:
html = driver.execute_script("return document.getElementsByTagName('html')[0].innerHTML")
WebDriverWait(driver, 20).until(EC.visibility_of_all_elements_located((By.CLASS_NAME, "f_fs13")))
htmlStr = driver.page_source
soup_level1 = soup(htmlStr, 'html.parser')
race_soup = soup_level1.find('tbody',{'class':'f_fs13'}).find_parent('table')
results_soup = soup_level1.find('tbody',{'class':'f_fs12'}).find_parent('table')
df1 = pd.read_html(str(race_soup))[0]
print(df1)
df2 = pd.read_html(str(results_soup))[0]
print(df2)
print('good')
driver.close()