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Scrapes Yahoo! Finance earnings calendar to get data for a specific date or a date range.

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Yahoo! Earnings Calendar Scraper

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Scrapes Yahoo! Finance earnings calendar to get data for a specific date or a date range.

Installation

Pip

pip install yahoo_earnings_calendar

Usage

Get earnings date information on a specific date or in a date range

import datetime
from yahoo_earnings_calendar import YahooEarningsCalendar

date_from = datetime.datetime.strptime(
    'May 5 2017  10:00AM', '%b %d %Y %I:%M%p')
date_to = datetime.datetime.strptime(
    'May 8 2017  1:00PM', '%b %d %Y %I:%M%p')
yec = YahooEarningsCalendar()
print(yec.earnings_on(date_from))
print(yec.earnings_between(date_from, date_to))

Data attributes

  • companyshortname: Company Name
    • e.g., 20160606
  • ticker: Ticker
    • e.g., AAPL
  • startdatetime: Event Start Time
    • e.g., 2017-04-23T21:00:00.000-04:00
  • startdatetimetype: Event Start Time Type
    • e.g., TAS (Time Not Supplied), AMC (After Market Close )
  • epsestimate: EPS Estimate
  • epsactual: Reported EPS
  • epssurprisepct: Surprise (%)
  • gmtOffsetMilliSeconds: GMT Offset in MS

Get the next earnings date of a specific symbol

import datetime
from yahoo_earnings_calendar import YahooEarningsCalendar

yec = YahooEarningsCalendar()
# Returns the next earnings date of BOX in Unix timestamp
print(yec.get_next_earnings_date('box'))
# 1508716800

Get all the available earnings data of a specific symbol

from yahoo_earnings_calendar import YahooEarningsCalendar

yec = YahooEarningsCalendar()
    # Returns a list of all available earnings of BOX
print(yec.get_earnings_of('box'))

Set delay between requests

By default, requests are delayed by 1.8 sec to avoid exceeding the 2000/hour rate limit. You can override the default delay by passing an argument to the YahooEarningsCalendar constructor.

import datetime
from yahoo_earnings_calendar import YahooEarningsCalendar

my_custom_delay_s = 0.5

yec = YahooEarningsCalendar(my_custom_delay_s)

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Scrapes Yahoo! Finance earnings calendar to get data for a specific date or a date range.

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