Skip to content

Instantly share code, notes, and snippets.

@dougvk
Created January 19, 2014 01:40
Show Gist options
  • Save dougvk/8499335 to your computer and use it in GitHub Desktop.
Save dougvk/8499335 to your computer and use it in GitHub Desktop.
(stock ticker -> CIK) dictionary using SEC EDGAR
import re
from cPickle import dump
from requests import get
DEFAULT_TICKERS = ['goog', 'aapl']
URL = 'http://www.sec.gov/cgi-bin/browse-edgar?CIK={}&Find=Search&owner=exclude&action=getcompany'
CIK_RE = re.compile(r'.*CIK=(\d{10}).*')
cik_dict = {}
for ticker in DEFAULT_TICKERS:
results = CIK_RE.findall(get(URL.format(ticker)).content)
if len(results):
cik_dict[str(ticker).lower()] = str(results[0])
f = open('cik_dict', 'w')
dump(cik_dict, f)
f.close()
@jay-johnson
Copy link

Solid stuff Doug. I have been trying to figure out the best way to attack the trifecta: cik with ticker with company name. Thanks.

@cademarkegard
Copy link

Doug your code just saved me a bunch of time! Thanks man

@rgioai
Copy link

rgioai commented Aug 31, 2016

Curious if anyone has tried to port this into Python3? Regardless, thank you Doug!

@maymayw
Copy link

maymayw commented Apr 22, 2017

It works in python 3, just with a tiny change:
f = requests.get(URL.format(ticker), stream = True);
results = CIK_RE.findall(f.text)

Some tickers don't work tho: e.g., BRK.A (Buffett's company), anyone has a solution?

@BoonAtARJ
Copy link

I want to convert this into a dataframe and it keeps spitting out the following

{'goog': '0001652044', 'aapl': '0000320193'}
0
goog 0001652044
aapl 0000320193

How do I rename my columns?
I tried df = df.rename(columns = {"0": "CIK"}) but that didn't work.

Here is the version of the code that I used:

`import re
from _pickle import dump
import requests
import pandas as pd

DEFAULT_TICKERS = ['goog', 'aapl']
URL = 'http://www.sec.gov/cgi-bin/browse-edgar?CIK={}&Find=Search&owner=exclude&action=getcompany'
CIK_RE = re.compile(r'.CIK=(\d{10}).')

cik_dict = {}
for ticker in DEFAULT_TICKERS:
f = requests.get(URL.format(ticker), stream=True);
results = CIK_RE.findall(f.text)
if len(results):
cik_dict[str(ticker).lower()] = str(results[0])

print(cik_dict)

df = pd.DataFrame.from_dict(cik_dict, orient = 'index')
df = df.rename(columns = {"0": "CIK"})
print(df)`

@Micah81
Copy link

Micah81 commented Jun 29, 2017

Thank you everyone, your comments and code was a huge help.
for 3.6:

import re, requests

def getCIKs(TICKERS):
    URL = 'http://www.sec.gov/cgi-bin/browse-edgar?CIK={}&Find=Search&owner=exclude&action=getcompany'
    CIK_RE = re.compile(r'.*CIK=(\d{10}).*')    
    cik_dict = {}
    for ticker in TICKERS:
        f = requests.get(URL.format(ticker), stream = True)
        results = CIK_RE.findall(f.text)
        if len(results):
            results[0] = int(re.sub('\.[0]*', '.', results[0]))
            cik_dict[str(ticker).upper()] = str(results[0])
    f = open('cik_dict', 'w')   
    print(cik_dict)
    f.close()

getCIKs(['wmt','amzn','nflx'])
# returns:
# {'WMT': '104169', 'AMZN': '1018724', 'NFLX': '1065280'}

@alinagol
Copy link

alinagol commented Jul 30, 2017

@Micah81 instead of print(cik_dict), return(cik_dict) worked better for me

@Dirtykingballa
Copy link

Dirtykingballa commented Feb 13, 2022

Today you have to set a user agent:

import re, requests
headers = {"user-agent": "Safari"}

def getCIKs(TICKERS):
    URL = 'http://www.sec.gov/cgi-bin/browse-edgar?CIK={}&Find=Search&owner=exclude&action=getcompany'
    CIK_RE = re.compile(r'.*CIK=(\d{10}).*')    
    cik_dict = {}
    for ticker in TICKERS:
        f = requests.get(URL.format(ticker),headers= headers, stream = True)
        results = CIK_RE.findall(f.text)
        if len(results):
            results[0] = int(re.sub('\.[0]*', '.', results[0]))
            cik_dict[str(ticker).upper()] = str(results[0])
    f = open('cik_dict', 'w')
    f.close()
    return(cik_dict)

getCIKs(['wmt','amzn','nflx'])
# returns:
# {'WMT': '104169', 'AMZN': '1018724', 'NFLX': '1065280'}

@BethTian
Copy link

It's failed today because the SEC has already changed the website

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment