economic-calendar
Fetch macro-economic events (Fed, ECB, CPI, etc.) from Investing.com. No API key required — pure scraping.
Usage
# Today's high-importance US events (table output)
python scripts/economic_calendar.py
# Specific date with custom filters
python scripts/economic_calendar.py --date 2026-03-01 --importance high medium --countries "united states" germany
# Multiple days (next 7 days)
python scripts/economic_calendar.py --days 7 --importance high medium --countries "united states"
# JSON to stdout (for automation/piping)
python scripts/economic_calendar.py --date tomorrow --json stdout
# JSON to file (default: calendar_YYYYMMDD.json)
python scripts/economic_calendar.py --days 3 --json fileOptions
| Flag | Description | Default |
|---|---|---|
--date | Start date: today, tomorrow, yesterday, or YYYY-MM-DD | today |
--days | Fetch range of N days (overrides --date) | — |
--importance | Filter levels: low, medium, high (space-separated) | high |
--countries | Countries (space-separated, quotes for multi-word) | united states |
--timezone | Timezone for event times | GMT +1:00 |
--json | JSON mode: file, stdout, none | file |
Countries
Available country names (use quotes for multi-word):
united statesgermanyunited kingdomfrancejapanchinacanadaaustraliaswitzerlandeurozone
Timezones
Common timezones:
GMT +1:00— Berlin/Vienna (CET) ✓ defaultGMT +2:00— Berlin/Vienna (CEST)GMT -5:00— New York (EST)GMT -4:00— New York (EDT)GMT— UTC
Output Formats
Table (default)
Human-readable formatted table to stdout:
================================================================================
Economic Calendar | 25.02.2026
Countries: United States | Timezone: GMT +1:00 | Importance: high
================================================================================
Time Imp. Curr. Event Forecast Previous Actual
------- -------- ------ ------------------------------ --------- --------- --------
14:30 high USD Unemployment Claims 215K 219K —
14:30 high USD Core PPI m/m 0.3% 0.4% —
================================================================================
2 event(s) found.JSON
{
"from": "2026-02-25",
"to": "2026-02-25",
"timezone": "GMT +1:00",
"importances": ["high"],
"countries": ["united states"],
"events": [
{
"date": "Tuesday, February 25, 2026",
"time": "14:30",
"currency": "USD",
"importance": 3,
"event": "Unemployment Claims",
"actual": "",
"forecast": "215K",
"previous": "219K"
}
]
}Dependencies
pip install requests beautifulsoup4 lxmlNotes
- Source: Investing.com (server-side rendered, reliable CSS selectors)
- Rate limiting: Built-in delays between requests
- Session handling: Maintains cookies across requests for proper session state
- Data validity: Historical data + 1+ years forward
- No API key: All data is publicly scraped
Use in Workflows
# Daily briefing — get today's high/medium US events as JSON
python3 skills/economic-calendar/scripts/economic_calendar.py \
--date today \
--importance high medium \
--countries "united states" \
--json stdout