How to obtain stock market company sector from ticker or company name in python

Question

Given a company ticker or name I would like to get its sector using python.

I have tried already several potential solutions but none has worked succesfully

The two most promising are:

1) Using the script from: https://gist.github.com/pratapvardhan/9b57634d57f21cf3874c

from urllib import urlopen
from lxml.html import parse

'''
Returns a tuple (Sector, Indistry)
Usage: GFinSectorIndustry('IBM')
'''
def GFinSectorIndustry(name):
  tree = parse(urlopen('http://www.google.com/finance?&q='+name))
  return tree.xpath("//a[@id='sector']")[0].text, tree.xpath("//a[@id='sector']")[0].getnext().text

However I am using python --version 3.8

I have been able to tweak this solution, but the last line is not working and I am completely new to scraping web pages, so I would appreciate if anyone has some suggestions.

Here is my current code:

from urllib.request import Request, urlopen
from lxml.html import parse

name="IBM"
req = Request('http://www.google.com/finance?&q='+name, headers={'User-Agent': 'Mozilla/5.0'})
webpage = urlopen(req)

tree = parse(webpage)

But then the last part is not working and I am very new to this xpath syntax:

tree.xpath("//a[@id='sector']")[0].text, tree.xpath("//a[@id='sector']")[0].getnext().text

2) The other option was embedding R's TTN package as shown here: Find which sector a stock belongs to

However, I want to run it within my Jupyter notebook, and it is just taking ages to run ss <- stockSymbols()

Answer 1

Following your comment, for marketwatch.com/investing/stock specifically, the xpath that is likely to work is "//div[@class='intraday__sector']/span[@class='label']" meaning that doing

tree.xpath("//div[@class='intraday__sector']/span[@class='label']")[0].text

should return the desired information.

I am completely new to scraping web pages [...]

Some precisions:

1. This xpath totally depends on the website you are looking at, explaining why there were no hope in searching "//a[@id='sector']" in the page you mention in comments, since this xpath (now outdated) was google-finance specific. Put differently, you first need to "study" the page you are interested in to know where the information you want is located.
2. To conduct such "study" I use Chrome DevTools and check any xpath in the console, doing $x(<your-xpath-of-interest>) where the function $x is documented here (with examples!).
3. Luckily for you, the information you want to get from marketwatch.com/investing/stock -- the sector's name -- is statically generated _{(i.e. not dynamically generated at page loading, in which case other scraping techniques would have been required, resorting to other python libraries such as Selenium.. but this is another question).}

Answer 2

You can easily obtain the sector for any given company/ticker with yahoo finance:

import yfinance as yf

tickerdata = yf.Ticker('TSLA') #the tickersymbol for Tesla
print (tickerdata.info['sector'])

Code returns: 'Consumer Cyclical'

If you want other information about the company/ticker, just print(tickerdata.info) to see all other possible dictionary keys and corresponding values, like ['sector'] used in the code above.

Answer 3

To answer the question:

How to obtain stock market company sector from ticker or company name in python?

I had to find a work around after reading some material and some nice suggestions from @keepAlive.

The following does the job in a reverse way, i.e. gets the companies given the sector. There are 10 sectors, so it is not too much work if one wants info for all sectors: https://www.stockmonitor.com/sectors/

Given that marketwatch.com/investing/stock was throwing a 405 Error, I decided to use https://www.stockmonitor.com/sectors/, for example:

https://www.stockmonitor.com/sector/healthcare/

Here is the code:

import requests

import pandas as pd

from lxml.html import parse
from urllib.request import Request, urlopen

headers = [
    "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_3)" + " "
    "AppleWebKit/537.36 (KHTML, like Gecko)" + " " + "Chrome/35.0.1916.47" +
    " " + "Safari/537.36"
]

url = 'https://www.stockmonitor.com/sector/healthcare/'

headers_dict = {'User-Agent': headers[0]}
req = Request(url, headers=headers_dict)
webpage = urlopen(req)

tree = parse(webpage)

healthcare_tickers = []
for element in tree.xpath("//tbody/tr/td[@class='text-left']/a"):

    healthcare_tickers.append(element.text)

pd.Series(healthcare_tickers)

Thus, healthcare_tickers has the stock companies in the healthcare sector.