I want to download Results.csv from 'https://www.bseindia.com/corporates/Forth_Results.aspx' I want to basically get data in dataframe format. I used below code to download the file but it is getting some error data.
import requests
import pandas as pd
bse_url = 'https://www.bseindia.com/corporates/Forth_Results.aspx'
r = requests.get(bse_url)
file_name = Results.csv
with open(file_name, 'wb') as f:
for chunk in r.iter_content():
f.write(chunk)
f.flush()
You can do this with the help of selenium, follow the below steps:
Step 1: Download the web driver for chrome:
First check your chrome version(Browser's Menu(triple vertical dots) -> Help -> About Google Chrome
Step 2: Download Driver from here according to your chrome browser version(mine is 81.0.4044.138)
Step 3: Once downloaded unzip the file and place chromedriver.exe in the directory where your script is.
Step 4: pip install selenium
Now use the below code:
from selenium import webdriver
import os
import pandas as pd
#your website url
site = 'https://www.bseindia.com/corporates/Forth_Results.aspx'
#your driver path
driver = webdriver.Chrome(executable_path = 'chromedriver.exe')
#passing website url
driver.get(site)
#wait until whole sites load
time.sleep(5)
#click download icon using xpath
driver.find_element_by_xpath("/html/body/div[1]/form/div[4]/div/div[2]/div/div/div[2]/a/i").click()
#closing browser
driver.close()
#reading Results.csv from defalut download directory
df = pd.read_csv("c:/users/viupadhy/downloads/Results.csv")
df
Output:
Security Code Security Name Company name Result Date
0 542579 AGOL Ashapuri Gold Ornament Ltd 24 Jul 2020
1 500425 AMBUJACEM AMBUJA CEMENTS LTD. 24 Jul 2020
2 531223 ANJANI ANJANI SYNTHETICS LTD.-$ 24 Jul 2020
3 500820 ASIANPAINT ASIAN PAINTS LTD. 24 Jul 2020
4 500027 ATUL ATUL LTD. 24 Jul 2020
5 512063 AYOME AYOKI MERCANTILE LTD. 24 Jul 2020
6 517246 BCCFUBA BCC FUBA INDIA LTD. 24 Jul 2020
7 540700 BRNL Bharat Road Network Ltd 24 Jul 2020
8 519600 CCL CCL PRODUCTS (INDIA) LTD. 24 Jul 2020
9 531621 CENTERAC CENTERAC TECHNOLOGIES LTD. 24 Jul 2020
10 539991 CFEL Confidence Futuristic Energetech Ltd 24 Jul 2020
11 500110 CHENNPETRO CHENNAI PETROLEUM CORPORATION LTD. 24 Jul 2020
12 534691 COMCL COMFORT COMMOTRADE LTD. 24 Jul 2020
13 531216 COMFINTE COMFORT INTECH LTD.-$ 24 Jul 2020
14 526829 CONFIPET CONFIDENCE PETROLEUM INDIA LTD. 24 Jul 2020
15 506395 COROMANDEL COROMANDEL INTERNATIONAL LTD. 24 Jul 2020
16 539876 CROMPTON Crompton Greaves Consumer Electricals Ltd 24 Jul 2020
17 526269 CRSTCHM CRESTCHEM LTD. 24 Jul 2020
18 541546 GAYAHWS Gayatri Highways Ltd 24 Jul 2020
19 500171 GHCL GHCL LTD. 24 Jul 2020
20 524590 HEMORGANIC Hemo Organic Limited 24 Jul 2020
21 505725 HINDEVER HINDUSTAN EVEREST TOOLS LTD. 24 Jul 2020
22 501295 IITL INDUSTRIAL INVESTMENT TRUST LTD. 24 Jul 2020
23 513295 IMEC Imec Services Ltd 24 Jul 2020
24 541300 INDINFR IndInfravit Trust 24 Jul 2020
25 500875 ITC ITC LTD. 24 Jul 2020
26 509715 JAYSHREETEA JAY SHREE TEA & INDUSTRIES LTD. 24 Jul 2020
27 500228 JSWSTEEL JSW STEEL LTD. 24 Jul 2020
28 506184 KANANIIND KANANI INDUSTRIES LTD. 24 Jul 2020
29 512036 KAPILCO KAPIL COTEX LTD. 24 Jul 2020
... ... ... ... ...
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 os
import time
import pandas as pd
#PATH CHECK
import pathlib
while 1 == 1 : # This constructs an infinite loop
filename='C:/Users/Administrator/Downloads/Results.csv'
file = pathlib.Path(filename)
if file.exists ():
os.remove('C:/Users/Administrator/Downloads/Results.csv')
#your website url
site = 'https://www.bseindia.com/corporates/Forth_Results.aspx'
#your driver path
driver = webdriver.Chrome(executable_path = 'chromedriver.exe')
#passing website url
driver.get(site)
time.sleep(10)
wait = WebDriverWait(driver, 20)
wait.until(EC.presence_of_element_located((By.ID, 'ContentPlaceHolder1_lnkDownload')))
#click download icon using xpath
el=driver.find_element_by_xpath("/html/body/div[1]/form/div[4]/div/div[2]/div/div/div[2]/a/i")
el.click()
#elem.click()
time.sleep(20)
driver.close()
if file.exists ():
break
df = pd.read_csv("C:/Users/Administrator/Downloads/Results.csv")
print(df)
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