pykabu-calendar 0.6.0

Japanese earnings calendar aggregator

pykabu-calendar

Japanese earnings calendar aggregator.

Installation

pip install pykabu-calendar

For SBI scraping (requires browser):

pip install pykabu-calendar
pip install playwright && playwright install chromium

Quick Start

import pykabu_calendar as cal

# Get earnings calendar (uses all sources by default)
df = cal.get_calendar("2026-02-10")

# Use specific sources only (faster, no browser needed)
df = cal.get_calendar("2026-02-10", sources=["matsui", "tradersweb"])

# Without historical inference (faster)
df = cal.get_calendar("2026-02-10", infer_from_history=False)

# Export to CSV
cal.export_to_csv(df, "earnings.csv")

Output Columns

Column	Description
code	Stock code (e.g., "7203")
name	Company name
datetime	Best estimate datetime
candidate_datetimes	List of candidate datetimes (most likely first)
sbi_datetime	Datetime from SBI (if available)
matsui_datetime	Datetime from Matsui
tradersweb_datetime	Datetime from Tradersweb
inferred_datetime	Datetime inferred from history
past_datetimes	List of past earnings datetimes

Features

• Aggregates earnings calendars from SBI, Matsui, Tradersweb
• Infers announcement time from historical patterns (via pykabutan)
• Centralized URL configuration for easy maintenance
• Modern User-Agent for reliable scraping
• Exports to CSV (Google Sheets compatible)

Data Source Priority

1. Inferred + Source match - When inferred time matches a source
2. Inferred - From historical patterns
3. SBI - Primary public source (requires Playwright)
4. Matsui/Tradersweb - Lightweight sources (default)

Documentation

Full documentation: https://obichan117.github.io/pykabu-calendar

License

MIT