I am trying to scrape a website and save the information using Python and Selenium. The scrape is simple, and only requires choosing the state and district in two dropdown menus, clicking a submit button, and reading and writing a table to a csv.
I am confident my packages are installed correctly and my program even works, but only some of the time. My guess is that without the proper Selenium driver 'waits', my program crashes because it can't find the correct css_selector. I'll post the program below, and if anyone has any suggestions on how to correctly incorporate Selenium driver 'waits', I would very much appreciate the help.
Thanks so much, and here's the program:
import time
import re
import string
import urllib.parse
import pandas
import numpy
import os
import csv
from selenium import webdriver
from selenium.webdriver.support.ui import Select
from selenium.webdriver.support.ui import WebDriverWait
from selenium.common.exceptions import NoSuchElementException
from selenium.webdriver.support import expected_conditions as EC
from bs4 import BeautifulSoup
driver = webdriver.Chrome('C:/chromedriver_win32/chromedriver.exe')
url = "https://myhpgas.in/myHPGas/HPGas/LocateDistributor.aspx"
driver.set_window_size(1120, 550)
driver.get(url);
time.sleep(5)
stateList = driver.find_element_by_css_selector("#ContentPlaceHolder1_ddlState")
options = stateList.find_elements_by_tag_name("option")
optionsList = []
for option in options:
optionsList.append(option.get_attribute("value"))
optionsList[1:len(optionsList)]
for optionValue in optionsList:
select = Select(driver.find_element_by_css_selector("#ContentPlaceHolder1_ddlState"))
select.select_by_value(optionValue)
districtList = driver.find_element_by_css_selector("#ContentPlaceHolder1_ddlDistrict")
distOptions = districtList.find_elements_by_tag_name("option")
distOptionsList = []
for distOption in distOptions: #iterate over the options, place attribute value in list
distOptionsList.append(distOption.get_attribute("value"))
for distOptionValue in distOptionsList[1:len(distOptionsList)]:
distSelect = Select(driver.find_element_by_css_selector("#ContentPlaceHolder1_ddlDistrict"))
distSelect.select_by_value(distOptionValue)
driver.find_element_by_css_selector('#ContentPlaceHolder1_btnShowList').click()
data = []
for tr in driver.find_elements_by_css_selector('#ContentPlaceHolder1_gvDistributor'):
tds = tr.find_elements_by_tag_name('td')
if tds:
data.append([td.text for td in tds])
print(data)
dataRows = int(numpy.array(data).size / 7)
rowsTimesColumns = (dataRows * 7) -1
newArray = numpy.array(data)
outArray = newArray[0:rowsTimesColumns]
test = pandas.DataFrame(outArray.reshape(dataRows,7), columns=['no', 'distributor', 'address','contact1', 'contact2', 'contact3', 'map'])
file_path = 'Users/outpath' + '_' + optionValue + '_' + distOptionValue + '.csv'
test.to_csv(file_path, sep=',')
driver.back()
driver.back()
Can you tell me which line returns an error!? Also how about using xpaths!?
I couldn’t see the statement to implement explicit waits
WebDriverWait(driver, 30).until(EC.presence_of_element_located_by(By.CSS_SELECTOR,*your css selector*))
Related
I have been strugling to scrape the contents/text of news articles from each URLs. The extraction of URLs works fine, but scraping the texts from each URLs has been challenging. Below is my code:
from selenium.webdriver import ActionChains, Keys
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 import webdriver
from selenium.common.exceptions import NoSuchElementException
from selenium.common.exceptions import StaleElementReferenceException
import sys, time
from bs4 import BeautifulSoup
import requests
import pandas as pd
# Initialize drivver and navigate
driver = webdriver.Chrome()
driver.maximize_window()
url = 'https://www.iol.co.za/news/south-africa/eastern-cape'
wait = WebDriverWait(driver, 5)
driver.get(url)
time.sleep(3)
# take the articles
articles = wait.until(EC.presence_of_all_elements_located((By.XPATH,
f"//article//*[(name() = 'h1' or name()='h2' or name()='h3' or name()='h4' or name()='h5' or name()='h6' or name()='h7') and string-length(text()) > 0]/ancestor::article")))
article_link = []
full_text = []
# For every article we take what we want
for article in articles:
link = article.find_element(By.XPATH, f".//a")
news_link = link.get_attribute('href')
article_link.append(news_link)
for j in article_link:
news_response = requests.get(j)
news_data = news_response.content
news_soup = BeautifulSoup(news_data, 'html.parser')
art_cont = news_soup.find('div', 'Article__StyledArticleContent-sc-uw4nkg-0')
full_text.append(art_cont.text)
print(article_link)
print(full_text)
I tried to use beautifulsoup, but it doesn't seem to work. I will be grateful for any help.
First off you should probably unindent the second for loop, it shouldn't be running inside of the first loop (you will be doubling and getting all of the information countless extra times).
Second. The requests that you send are returning a webpage that has content blocked (I could not figure out a way around this with inserting headers into the request). What you could do is use the driver to load each of the links and grab the text from there, here is how you could do that.
for link in article_link:
driver.get(link)
news_data = wait.until(EC.presence_of_all_elements_located((By.CLASS_NAME, 'Article__StyledArticleContent-sc-uw4nkg-0')))
full_text.append(news_data[0].get_attribute('textContent'))
The full script would look like this:
from selenium.webdriver import ActionChains, Keys
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 import webdriver
from selenium.common.exceptions import NoSuchElementException
from selenium.common.exceptions import StaleElementReferenceException
import sys, time
from bs4 import BeautifulSoup
import requests
import pandas as pd
# Initialize drivver and navigate
driver = webdriver.Chrome()
driver.maximize_window()
url = 'https://www.iol.co.za/news/south-africa/eastern-cape'
wait = WebDriverWait(driver, 5)
driver.get(url)
time.sleep(3)
# take the articles
articles = wait.until(EC.presence_of_all_elements_located((By.XPATH,
f"//article//*[(name() = 'h1' or name()='h2' or name()='h3' or name()='h4' or name()='h5' or name()='h6' or name()='h7') and string-length(text()) > 0]/ancestor::article")))
article_link = []
full_text = []
# For every article we take what we want
for article in articles:
link = article.find_element(By.XPATH, f".//a")
news_link = link.get_attribute('href')
article_link.append(news_link)
for link in article_link[:5]:
driver.get(link)
news_data = wait.until(EC.presence_of_all_elements_located((By.CLASS_NAME, 'Article__StyledArticleContent-sc-uw4nkg-0')))
full_text.append(news_data[0].get_attribute('textContent'))
print(article_link)
print(full_text)
The best course of action is to utilize selenium throughout as the site's content is cloudflare secured. Although #Andrew Ryan has already addressed the issue, I thought I'd come up with a shorter version of it since this answer was already halfway through at the time of his posting.
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 import webdriver
link = 'https://www.iol.co.za/news/south-africa/eastern-cape'
def get_links_and_texts(driver,url):
driver.get(url)
for article_link in [i.get_attribute('href') for i in WebDriverWait(driver,10).until(EC.presence_of_all_elements_located((By.XPATH,"//article/a[starts-with(#class,'Link__StyledLink')]")))]:
driver.get(article_link)
art_content = WebDriverWait(driver,10).until(EC.presence_of_element_located((By.CSS_SELECTOR,".article-content"))).text
yield {"Link":article_link,"article_content":art_content}
if __name__ == '__main__':
with webdriver.Chrome() as driver:
for item in get_links_and_texts(driver,link):
print(item)
from urllib.request import urlopen
from selenium import webdriver
from bs4 import BeautifulSoup as BSoup
import requests
import pandas as pd
from requests_html import HTMLSession
import time
import xlsxwriter
import re
import os
urlpage = 'https://racing.hkjc.com/racing/information/English/Racing/LocalResults.aspx?RaceDate=2019/07/14&Racecourse=ST&RaceNo=1'
# Setup selenium
driver = webdriver.Firefox(executable_path = 'geckodriver path')
# get web page
driver.get(urlpage)
time.sleep(10)
bs_obj = BSoup(driver.page_source, 'html.parser')
# Scrape table content
table = bs_obj.find('table', {"f_tac table_bd draggable"})
rows = table.find_all('tr')
table_content = []
for row in rows[1:]:
cell_row = []
for cell in row.find_all('td'):
cell_row.append(cell.text.replace(" ", "").replace("\n\n", " ").replace("\n", ""))
table_content.append(cell_row)
header_content = []
for cell in rows[0].find_all('td'):
header_content.append(cell.text)
driver.close()
race_writer = pd.ExcelWriter('export path', engine='xlsxwriter')
df = pd.DataFrame(table_content, columns=header_content)
df.to_excel(race_writer, sheet_name='game1')
Hi All, I am trying to scrape the racing result from HKJC. When I was executing the code above, either one of the errors below happened:
No excel file is created
Df is not written to the excel file < an empty excel file is created
Say if I successfully scrape the result of game 1, I then amend the script to continue to scrape that of game 2, but it still gives me the result of game 1.
Appreciate if anyone could help.
I changed your script to the one below. The approach followed is to click through each of the relevant "Sha Tin" buttons (see range(1, len(shatin)-1)) and collect the race table data. Race tables are added to a list called "races". Finally, write each of the race tables to individual sheets in Excel (note you no longer need BeautifulSoup).
Add these to your list of imports:
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
Then:
urlpage = 'https://racing.hkjc.com/racing/information/English/Racing/LocalResults.aspx?RaceDate=2019/07/14&Racecourse=ST&RaceNo=1'
# Setup selenium
driver = webdriver.Firefox(executable_path = 'geckodriver path')
# get web page
driver.get(urlpage)
WebDriverWait(driver, 10).until(EC.presence_of_element_located((By.XPATH,"//table[#class='f_fs12 f_fr js_racecard']")))
shatin=driver.find_elements_by_xpath("//table[#class='f_fs12 f_fr js_racecard']/tbody/tr/td")
races=[]
for i in range(1, len(shatin)-1):
shatin = driver.find_elements_by_xpath("//table[#class='f_fs12 f_fr js_racecard']/tbody/tr/td")
#time.sleep(3)
#WebDriverWait(driver, 10).until(EC.presence_of_element_located((By.XPATH, "//div[#class='performance']")))
shatin[i].click()
table = pd.read_html(driver.find_element_by_xpath("//div[#class='performance']").get_attribute('outerHTML'))[0]
races.append(table)
with pd.ExcelWriter('races.xlsx') as writer:
for i,race in enumerate(races):
race.to_excel(writer, sheet_name=f'game{i+1}', index=False)
writer.save()
driver.quit()
Output:
So I am trying to scrape some information from a website, and when I try to get element by xpath I am getting an error "Unable to locate element" when the path that I provide is copied directly from the inspection tool. I tried a couple of things but it did not work, so I told my self I was going to try an easier path (TEST) but still don't work. Is it possible that the website does not show all the html code when inspecting?
Here is the code, with the website and the xpath that I tried.
URL_TRADER = 'https://www.tipranks.com/analysts/joseph-foresi?benchmark=none&period=yearly'
TEST = 'html/body/div[#id="app"]/div[#class="logged-out free"]/div[#class="client-components-app-app__wrapper undefined undefined"]'#/div/div[1]/div/div[2]/div/section/main/table/tbody/tr[3]/td[3]/div/div/div/div[1]/span'
X_PATH = '//*[#id="app"]/div/div/div[2]/div/div[1]/div/div[2]/div/section/main/table/tbody/tr[1]/td[3]/div/div/div/div[1]/span'
The main function is:
def trader_table():
# Loading Chrome and getting to the website
driver = webdriver.Chrome(executable_path='/usr/local/bin/chromedriver')
driver.get(URL_TRADER)
driver.implicitly_wait(10)
text = driver.find_element_by_xpath(X_PATH).get_attribute('innerHTML')
return text
I added a wait condition and used a css selector combination instead but this is the same as your xpath I think
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
url = 'https://www.tipranks.com/analysts/joseph-foresi?benchmark=none&period=yearly'
driver = webdriver.Chrome()
driver.get(url)
data = WebDriverWait(driver,10).until(EC.presence_of_element_located((By.CSS_SELECTOR, ".client-components-experts-infoTable-expertTable__table .client-components-experts-infoTable-expertTable__dataRow td:nth-child(3)"))).get_attribute('innerHTML')
print(data)
You have provided all the necessary details required to construct an answer but you didn't explicitly mention which element you were trying to get.
However, the commented out xpath within TEST gives us a hint you were after the Price Target and to extract the text within those elements as the elements are JavaScript enabled elements, you need to induce WebDriverWait for the visibility_of_all_elements_located() and you can use the following solution:
Code Block:
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
options = webdriver.ChromeOptions()
options.add_argument('start-maximized')
options.add_argument('disable-infobars')
options.add_argument('--disable-extensions')
driver = webdriver.Chrome(chrome_options=options, executable_path=r'C:\WebDrivers\chromedriver.exe')
driver.get("https://www.tipranks.com/analysts/joseph-foresi?benchmark=none&period=yearly")
print([element.get_attribute('innerHTML') for element in WebDriverWait(driver,10).until(EC.visibility_of_all_elements_located((By.XPATH, "//div[#class='client-components-experts-infoTable-expertTable__isBuy']//span")))])
Console Output:
['$14.00', '$110.00', '$237.00', '$36.00', '$150.00', '$71.00', '$188.00', '$91.00', '$101.00', '$110.00']
I guess you are looking after price Here you go.
from selenium import webdriver
URL_TRADER = 'https://www.tipranks.com/analysts/joseph-foresi?benchmark=none&period=yearly'
TEST = 'html/body/div[#id="app"]/div[#class="logged-out free"]/div[#class="client-components-app-app__wrapper undefined undefined"]'#/div/div[1]/div/div[2]/div/section/main/table/tbody/tr[3]/td[3]/div/div/div/div[1]/span'
X_PATH = "//div[#class='client-components-experts-infoTable-expertTable__isBuy']/div/span"
def trader_table():
driver = webdriver.Chrome(executable_path='/usr/local/bin/chromedriver')
driver.get(URL_TRADER)
driver.implicitly_wait(10)
text = driver.find_element_by_xpath(X_PATH).get_attribute('innerHTML')
print(text)
return text
Edited for All rows
from selenium import webdriver
URL_TRADER = 'https://www.tipranks.com/analysts/joseph-foresi?benchmark=none&period=yearly'
X_PATH = "//div[#class='client-components-experts-infoTable-expertTable__isBuy']/div/span"
def trader_table():
driver = webdriver.Chrome(executable_path='/usr/local/bin/chromedriver')
driver.get(URL_TRADER)
driver.implicitly_wait(10)
list_ele= driver.find_elements_by_xpath(X_PATH)
price_list = []
for ele in list_ele:
print(ele.text)
price_list.append(ele.text)
return price_list
list=trader_table()
print(list)
from selenium import webdriver
import time
driver = webdriver.Chrome("your webdriver location")
driver.get("https://www.tipranks.com/analysts/joseph-foresi?benchmark=none&period=yearly")
time.sleep(10)
y = driver.find_element_by_id('app').get_attribute('innerHTML')
print(y)
prints full inner html
I'm a finance student, very new to coding. I've been trying to learn Python for a week.
Goal:
Scraping data for financial statements of listed companies in Vietnam
Source: https://www.vndirect.com.vn/portal/bang-can-doi-ke-toan/vnm.shtml?request_locale=en_GB (sample ticker: VNM)
Situation:
I'm using Python 3 with BS4, Selenium for scraping and Pandas for tabling. I've read about Scrapy but I find it takes more efforts to learn.
Problems:
As you see, the website has drop-down menus for choosing years, number of terms, units...
I've figured out the part of using Selenium to select options and click View button to load the data.
I have trouble getting the data afterward. I tried to use 'wait until' but there is no change in website elements.
Moving to Income and CF Statement, the data was there when inspecting but missing in page source (using Chrome).
Thank you for any help.
import requests as rq
import bs4
import pandas as pd
# ticker = input('Ticker')
ticker = 'vnm'
url = 'https://www.vndirect.com.vn/portal/bang-can-doi-ke-toan/' + ticker + '.shtml'
res = rq.get(url)
web_text = bs4.BeautifulSoup(res.text)
content = web_text.select('.bordertd')
mod_content =[]
for x in content:
mod_content.append(x.getText().strip())
def chunks(l, n):
for i in range(0, len(l), n):
yield l[i:i+n]
table = list(chunks(mod_content, 5))
bsheet=pd.DataFrame(table)
print(bsheet)
I keep the part with Selenium separated:
from selenium import webdriver
from selenium.webdriver.support.ui import Select
from selenium.webdriver.common.by import By
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
browser = webdriver.Chrome('path')
browser.get('https://www.vndirect.com.vn/portal/bang-can-doi-ke-toan/VNM.shtml')
dropdown = Select(browser.find_element_by_name("searchObject.fiscalQuarter"))
dropdown.select_by_value('IN_YEAR')
browser.find_element_by_class_name('iButton').click()
# wait = WebDriverWait(browser, 10)
# element = wait.until(EC.element_to_be_clickable((By.NAME,'searchObject.fiscalQuarter')))
content = browser.page_source
browser.quit()
content = web_text.select('.bordertd')
mod_content =[]
for x in content:
mod_content.append(x.getText().strip())
mod_content
The code below is working and is currently saving to a csv file, however I want to save to an excel file instead using openpyxl. I attempted it further below but had no success. I'd eventually like to save this to an existing sheet and be able to overwrite the existing data. Can anyone help? Thanks
Working Code:
from time import sleep
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
from selenium.common.exceptions import TimeoutException
from selenium.webdriver.common.keys import Keys
import csv
import urllib
def get_elements_by_xpath(driver, xpath):
return [entry.text for entry in driver.find_elements_by_xpath(xpath)]
url = 'http://www.tradingview.com/screener'
driver = webdriver.Firefox()
driver.get(url)
try:
selector = '.js-field-total.tv-screener-table__field-value--total'
condition = EC.visibility_of_element_located((By.CSS_SELECTOR, selector))
matches = WebDriverWait(driver, 10).until(condition)
matches = int(matches.text.split()[0])
except (TimeoutException, Exception):
print ('Problem finding matches, setting default...')
matches = 4895 # Set default
# The page loads 150 rows at a time; divide matches by
# 150 to determine the number of times we need to scroll;
# add 5 extra scrolls just to be sure
num_loops = int(matches / 150 + 5)
for _ in range(num_loops):
driver.execute_script("window.scrollTo(0, document.body.scrollHeight);")
sleep(1) # Pause briefly to allow loading time
search_entries = [
("tickers", "//tbody/tr/td[1]/div/a"),
("rev annual", "//tbody/tr/td[10]"),
("income", "//tbody/tr/td[11]")]
with open('textfile.csv', 'w+', newline= '' ) as f_output:
csv_output = csv.writer(f_output)
# Write header
csv_output.writerow([name for name, xpath in search_entries])
entries = []
for name, xpath in search_entries:
entries.append(get_elements_by_xpath(driver, xpath))
csv_output.writerows(zip(*entries))
Tried this:
from time import sleep
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
from selenium.common.exceptions import TimeoutException
from selenium.webdriver.common.keys import Keys
from openpyxl import Workbook
import urllib
wb = Workbook(write_only=True)
ws = wb.create_sheet()
def get_elements_by_xpath(driver, xpath):
return [entry.text for entry in driver.find_elements_by_xpath(xpath)]
url = 'http://www.tradingview.com/screener'
driver = webdriver.Firefox()
driver.get(url)
try:
selector = '.js-field-total.tv-screener-table__field-value--total'
condition = EC.visibility_of_element_located((By.CSS_SELECTOR, selector))
matches = WebDriverWait(driver, 10).until(condition)
matches = int(matches.text.split()[0])
except (TimeoutException, Exception):
print ('Problem finding matches, setting default...')
matches = 4895 # Set default
# The page loads 150 rows at a time; divide matches by
# 150 to determine the number of times we need to scroll;
# add 5 extra scrolls just to be sure
num_loops = int(matches / 150 + 5)
for _ in range(num_loops):
driver.execute_script("window.scrollTo(0, document.body.scrollHeight);")
sleep(1) # Pause briefly to allow loading time
search_entries = [
("tickers", "//tbody/tr/td[1]/div/a"),
("rev annual", "//tbody/tr/td[10]"),
("income", "//tbody/tr/td[11]")]
entries = []
for name, xpath in search_entries:
entries.append(get_elements_by_xpath(driver, xpath))
wb.save('new_big_file.xlsx')