FedTools

An open source Python library for the scraping of Federal Reserve data.

By default, all modules within FedTools use 10 threads to increase scraping speed. By default, the Output is a Pandas DataFrame, indexed by release date of the materials. Additional serialised storage methods are optional.

Installation

pip install Fedtools

Import the classes:

from FedTools import MonetaryPolicyCommittee
from FedTools import BeigeBooks
from FedTools import FederalReserveMins

Usage

Returns a Pandas DataFrame dataset, which contains all Meeting Minutes, indexed by Date:

from FedTools import MonetaryPolicyCommittee

dataset = MonetaryPolicyCommittee().find_statements()
MonetaryPolicyCommittee().pickle_data("directory.pkl")

Returns a Pandas DataFrame dataset, which contains all Beige Books, indexed by Date:

from FedTools import BeigeBooks

dataset = BeigeBooks().find_beige_books()
BeigeBooks().pickle_data("directory.pkl")

Returns a Pandas DataFrame dataset, which contains all Federal Reserve Minutes since 1993, indexed by Date:

from FedTools import FederalReserveMins

dataset = FederalReserveMins().find_minutes()
FederalReserveMins().pickle_data("directory.pkl")

Edit Default Input Arguments

###Monetary Policy Committee

To modify the MonetaryPolicyCommittee default parameters, each of the below can be adjusted:

monetary_policy = MonetaryPolicyCommittee(
            main_url = 'https://www.federalreserve.gov', 
            calendar_url = 'https://www.federalreserve.gov/monetarypolicy/fomccalendars.htm',
            start_year = 1994,    
            historical_split = 2014,
            verbose = True,
            thread_num = 10)
            
dataset = monetary_policy.find_statements()

BeigeBooks

To modify the BeigeBooks default parameters, each of the below can be adjusted:

beige_books = BeigeBooks(
            main_url = 'https://www.federalreserve.gov', 
            beige_book_url='https://www.federalreserve.gov/monetarypolicy/beige-book-default.htm',
            start_year = 1996,        
            historical_split = 2019,
            verbose = True,
            thread_num = 10)
                 
dataset = beige_books.find_beige_books()

FederalReserveMins

To modify the FederalReserveMins default parameters, each of the below can be adjusted:

fed_mins = FederalReserveMins(
            main_url = 'https://www.federalreserve.gov', 
            calendar_url ='https://www.federalreserve.gov/monetarypolicy/fomccalendars.htm',
            start_year = 1995,        
            historical_split = 2014,
            verbose = True,
            thread_num = 10)

dataset = fed_mins.find_minutes()

Parameter Explanation

All parameters within the package have default values which can be overriden, with a short explanation of each parameter outlined below: