英文:
Collect the Dropdown List from Link using Request
问题
import pandas as pdfrom requests import Sessionimport os, time, sysfrom datetime import datetimes = Session()headers = {'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) '\'AppleWebKit/537.36 (KHTML, like Gecko) '\'Chrome/75.0.3770.80 Safari/537.36'}# Add headerss.headers.update(headers)URL = 'https://www.nseindia.com/live_market/dynaContent/live_watch/option_chain/optionKeys.jsp'params = {'symbolCode': 9999, 'symbol': 'BANKNIFTY', 'instrument': '-', 'date': '9JAN2020', 'segmentLink': 17}res = s.get(URL, params=params)df1 = pd.read_html(res.content)[0]df2 = pd.read_html(res.content)[1]
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英文:
I have a link as below:
url = "https://nseindia.com/live_market/dynaContent/live_watch/option_chain/optionKeys.jsp?segmentLink=17&instrument=OPTIDX&symbol=BANKNIFTY&date=9JAN2020"
I want to collect all the Expiry Date available as per the image below:
My Code:########################import pandas as pdfrom requests import Sessionimport os, time, sysfrom datetime import datetimes = Session()headers = {'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) '\'AppleWebKit/537.36 (KHTML, like Gecko) '\'Chrome/75.0.3770.80 Safari/537.36'}# Add headerss.headers.update(headers)URL = 'https://www.nseindia.com/live_market/dynaContent/live_watch/option_chain/optionKeys.jsp'params = {'symbolCode':9999,'symbol':'BANKNIFTY','instrument': '-','date': '9JAN2020','segmentLink': 17}res = s.get(URL, params=params)df1 = pd.read_html(res.content)[0]df2 = pd.read_html(res.content)[1]
Not able to get the values in df1 nor df2
答案1
得分: 3
import requests
import lxml.html
url = 'https://nseindia.com/live_market/dynaContent/live_watch/option_chain/optionKeys.jsp?segmentLink=17&instrument=OPTIDX&symbol=BANKNIFTY&date=9JAN2020'
r = requests.get(url)
soup = lxml.html.fromstring(r.text)
items = soup.xpath('//form[@id="ocForm"]//option/text()')
print(items)
Result
[' Select ', '9JAN2020', '16JAN2020', '23JAN2020', '30JAN2020', '6FEB2020', '13FEB2020', '20FEB2020', '27FEB2020', '5MAR2020', '26MAR2020']
英文:
It needs minimal knowlege of requests and BeautifulSoup or lxml
import requestsimport lxml.htmlurl = 'https://nseindia.com/live_market/dynaContent/live_watch/option_chain/optionKeys.jsp?segmentLink=17&instrument=OPTIDX&symbol=BANKNIFTY&date=9JAN2020'r = requests.get(url)soup = lxml.html.fromstring(r.text)items = soup.xpath('//form[@id="ocForm"]//option/text()')print(items)
Result
[' Select ', '9JAN2020', '16JAN2020', '23JAN2020', '30JAN2020', '6FEB2020', '13FEB2020', '20FEB2020', '27FEB2020', '5MAR2020', '26MAR2020']
答案2
得分: 0
import pandas as pdfrom requests import Sessionimport lxml.htmls = Session()headers = {'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) '\'AppleWebKit/537.36 (KHTML, like Gecko) '\'Chrome/75.0.3770.80 Safari/537.36'}# Add headerss.headers.update(headers)URL = 'https://www.nseindia.com/live_market/dynaContent/live_watch/option_chain/optionKeys.jsp'params = {'symbolCode': 9999, 'symbol': 'BANKNIFTY', 'instrument': 'OPTIDX', 'date': '-', 'segmentLink': 17}res = s.get(URL, params=params)soup = lxml.html.fromstring(res.text)items = soup.xpath('//form[@id="ocForm"]//option/text()')print(items)text = pd.read_html(res.content)[0].loc[0, 1]print(text)
英文:
import pandas as pdfrom requests import Sessionimport lxml.htmls = Session()headers = {'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) '\'AppleWebKit/537.36 (KHTML, like Gecko) '\'Chrome/75.0.3770.80 Safari/537.36'}# Add headerss.headers.update(headers)URL = 'https://www.nseindia.com/live_market/dynaContent/live_watch/option_chain/optionKeys.jsp'params = {'symbolCode':9999,'symbol':'BANKNIFTY','instrument': 'OPTIDX','date': '-','segmentLink': 17}res = s.get(URL, params=params)soup = lxml.html.fromstring(res.text)items = soup.xpath('//form[@id="ocForm"]//option/text()')print(items)text = pd.read_html(res.content)[0].loc[0, 1]print(text)
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