Nan*_*Rao 4 python web-scraping python-requests
我试图从这个位置拉出 json - https://www.nseindia.com/api/option-chain-indices?symbol=BANKNIFTY
这在我的浏览器中打开得很好,但在 python 中使用请求会引发 401 权限错误。我尝试添加具有不同参数的标题,但无济于事。有趣的是,在单独打开https://www.nseindia.com之前,此页面上的 json 也不会在浏览器中打开。我相信它需要某种身份验证,但很惊讶它可以在没有任何身份验证的浏览器中运行。
有没有办法从这个网址中提取信息?任何帮助深表感谢。
这是我的实现 -
import requests
url = 'https://www.nseindia.com/api/option-chain-indices?symbol=BANKNIFTY'
# This throws a 401 response error
page = requests.get(url, headers={"User-Agent": "Mozilla/5.0"})
# This throws a 'Connection aborted' error
page = requests.get(url, headers={"User-Agent": "Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.9.2.8) Gecko/20100722 Firefox/3.6.8 GTB7.1 (.NET CLR 3.5.30729)"})
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要获得正确的数据,首先从其他 URL 加载 cookie requests.get(),然后执行 Ajax 请求以加载 JSON:
import json
import requests
from bs4 import BeautifulSoup
headers = {'User-Agent': 'Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:80.0) Gecko/20100101 Firefox/80.0'}
url = 'https://www.nseindia.com/api/option-chain-indices?symbol=BANKNIFTY'
with requests.session() as s:
# load cookies:
s.get('https://www.nseindia.com/get-quotes/derivatives?symbol=BANKNIFTY', headers=headers)
# get data:
data = s.get(url, headers=headers).json()
# print data to screen:
print(json.dumps(data, indent=4))
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印刷:
{
"records": {
"expiryDates": [
"03-Sep-2020",
"10-Sep-2020",
"17-Sep-2020",
"24-Sep-2020",
"01-Oct-2020",
"08-Oct-2020",
"15-Oct-2020",
"22-Oct-2020",
"29-Oct-2020",
"26-Nov-2020"
],
"data": [
{
"strikePrice": 18100,
"expiryDate": "03-Sep-2020",
"CE": {
"strikePrice": 18100,
"expiryDate": "03-Sep-2020",
"underlying": "BANKNIFTY",
"identifier": "OPTIDXBANKNIFTY03-09-2020CE18100.00",
"openInterest": 1,
"changeinOpenInterest": 1,
"pchangeinOpenInterest": 0,
"totalTradedVolume": 2,
"impliedVolatility": 95.51,
"lastPrice": 6523.6,
"change": 2850.1000000000004,
"pChange": 77.58540901048048,
"totalBuyQuantity": 2925,
"totalSellQuantity": 2800,
"bidQty": 25,
"bidprice": 6523.6,
"askQty": 25,
"askPrice": 6570.3,
"underlyingValue": 24523.8
},
"PE": {
"strikePrice": 18100,
"expiryDate": "03-Sep-2020",
"underlying": "BANKNIFTY",
...and so on.
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