A small library to access files from SEC's edgar.
pip install edgar
To get a company's latest 5 10-Ks, run
from edgar import Company
company = Company("Oracle Corp", "0001341439")
tree = company.get_all_filings(filing_type = "10-K")
docs = Company.get_documents(tree, no_of_documents=5)
or
from edgar import Company, TXTML
company = Company("INTERNATIONAL BUSINESS MACHINES CORP", "0000051143")
doc = company.get_10K()
text = TXTML.parse_full_10K(doc)
To get all companies and find a specific one, run
from edgar import Edgar
edgar = Edgar()
possible_companies = edgar.find_company_name("Cisco System")
To avoid pull of all company data from sec.gov on Edgar initialization, pass in a local path to the data
from edgar import Edgar
edgar = Edgar("/path/to/cik-lookup-data.txt")
possible_companies = edgar.find_company_name("Cisco System")
To get XBRL data, run
from edgar import Company, XBRL, XBRLElement
company = Company("Oracle Corp", "0001341439")
results = company.get_data_files_from_10K("EX-101.INS", isxml=True)
xbrl = XBRL(results[0])
XBRLElement(xbrl.relevant_children_parsed[15]).to_dict() // returns a dictionary of name, value, and schemaRef
Company(name, cik, timeout=10)
get_filings_url(self, filing_type="", prior_to="", ownership="include", no_of_entries=100) -> str
Returns a url to fetch filings data
get_all_filings(self, filing_type="", prior_to="", ownership="include", no_of_entries=100) -> lxml.html.HtmlElement
Returns the HTML in the form of lxml.html
get_10Ks(self, no_of_documents=1, as_documents=False) -> List[lxml.html.HtmlElement]
Returns the HTML in the form of lxml.html of concatenation of all the documents in the 10-K
as_documents
is set to True
, it returns -> List[edgar.document.Documents]
a list of Documentsget_10Ks_metadata(self) -> List[dict]
Returns the HTML in the form of a dictionary of concatenation of all the document metadata in the 10-K
get_document_type_from_10K(self, document_type, no_of_documents=1) -> List[lxml.html.HtmlElement]
Returns the HTML in the form of lxml.html of the document within 10-K
get_data_files_from_10K(self, document_type, no_of_documents=1, isxml=False) -> List[lxml.html.HtmlElement]
Returns the HTML in the form of lxml.html of the data file within 10-K
html
in lxml. If this is True, then it is parsed with
etree` which is case sensitiveget_documents(self, tree: lxml.html.Htmlelement, no_of_documents=1, debug=False, as_documents=False) -> List[lxml.html.HtmlElement]
Returns a list of strings, each string contains the body of the specified document from input
as_documents
is set to True
, it returns -> List[edgar.document.Documents]
a list of DocumentsGets all companies from EDGAR
get_cik_by_company_name(company_name: str) -> str
: Returns the CIK if given the exact name or the company
get_company_name_by_cik(cik: str) -> str
: Returns the company name if given the CIK (with the 000
s)
find_company_name(words: str) -> List[str]
: Returns a list of company names by exact word matching
find_company_name_cik(words: str) -> List[tuple[str, str]]
: Return a list of company names and their CIK values
match_company_by_company_name(self, name, top=5) -> List[Dict[str, Any]]
: Returns a list of dictionarys, with company names, CIK, and their fuzzy match score
top (default: 5)
returns the top number of fuzzy matches. If set to None
, it'll return the whole list (which is a lot)Parses data from XBRL
relevant_children
context
relevant_children_parsed
context
, unit
, schemaRef
Filing and Documents Details for the SEC EDGAR Form (such as 10-K)
Documents(url, timeout=10)
url: str
: URL of the document
content: dict
: Dictionary of meta data of the document
content['Filing Date']: str
: Document filing date
content['Accepted']: str
: Document accepted datetime
content['Period of Report']: str
: The date period that the document is for
element: lxml.html.HtmlElement
: The HTML element for the Document (from the url) so it can be further parsed