Trader Master Calendar Data (Investing.com) 🗓️📊

One Actor, five market calendars. Pull Investing.com's Economic, Earnings, Dividends, IPO and Stock Market Holidays calendars from a single scraper — pick the calendar with one input field and filter by country and date range. Built for traders, quants, fintech products, and anyone who needs structured market-calendar data without maintaining five separate scrapers.

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What this Actor does

Trader Master Calendar Data is a unified Investing.com calendar scraper. Instead of running a different tool for every calendar, you set one calendarType input and get back clean, structured JSON for whichever calendar you need:

Calendar type	What you get
📈 Economic Calendar	Macro indicators and events — GDP, CPI/inflation, interest rate decisions, employment reports, PMI, central bank meetings — with actual, forecast and previous values, plus importance rating (Low/Medium/High)
💰 Earnings Calendar	Corporate earnings releases — EPS actual/forecast, revenue actual/forecast, market cap, reporting session (before/after market)
🏦 Dividends Calendar	Ex-dividend dates, dividend amount, dividend type, payment date and yield for stocks worldwide
🚀 IPO Calendar	Upcoming and recent stock listings — exchange, IPO size, price range, and last traded price
🏛️ Holidays Calendar	Stock exchange closures around the world, by country and exchange

All five calendars share the same filtering options (country, date range) and are written to the same dataset shape, so you can build one downstream pipeline that handles any of them.

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Key Features

• Five calendars, one Actor — switch calendar type with a single dropdown input instead of juggling separate scrapers.
• Country filtering — narrow any calendar down to one or more of 90+ countries and regions.
• Date range filtering — set a fromDate/toDate window, or leave both empty to get just today's (or this week's) entries.
• Economic Calendar fine-tuning — filter by importance (Low/Medium/High), category (Employment, Inflation, Central Banks, Bonds, Credit, Confidence, Balance, Economic Activity), and choose your reference time zone or time-remaining display.
• Consistent, typed output — every record carries retrieved_at and a data_type tag so you always know which calendar and when it was scraped.
• Run summary included — every run writes a summary record to the key-value store (total events found, unique countries/currencies/exchanges, etc.) so you can validate a run without opening the dataset.
• No login, no API key, no browser required on your side — the Actor handles all the scraping infrastructure.
• Built for automation — trigger it from the Apify API, schedule it to run daily/weekly, or wire it into Make, Zapier, n8n, or your own backend via webhooks.

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Input parameters

Parameter	Type	Description
calendarType	Select (required)	Which calendar to scrape: economic, earnings, dividends, ipo, or holidays. Defaults to economic.
country	Array	Countries to filter by (e.g. united states, united kingdom, germany). Leave empty for all countries.
fromDate	Date	Start of the date range (inclusive), format YYYY-MM-DD.
toDate	Date	End of the date range (inclusive), format YYYY-MM-DD. Leave fromDate/toDate empty to fetch just today's (or this week's) entries.
timeZone	Select	Economic Calendar only. Reference GMT time zone for event times (e.g. GMT +2:00). Defaults to the local GMT offset.
timeFilter	Select	Economic Calendar only. Show time_only (event clock time) or time_remaining (countdown to the event). Defaults to time_only.
importances	Array	Economic Calendar only. Filter by low, medium, high. Leave empty for all (including holidays).
categories	Array	Economic Calendar only. Filter by category, e.g. employment, inflation, central banks, bonds, credit, confidence, balance, economic activity.

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Example output

Economic Calendar record:

{
  "id": "168377",
  "date": "2026-09-11",
  "time": "12:30",
  "zone": "United States",
  "currency": "USD",
  "importance": "High",
  "event": "Core CPI (MoM)",
  "actual": "0.3%",
  "forecast": "0.3%",
  "previous": "0.2%",
  "retrieved_at": "2026-09-11T15:52:49.395Z",
  "data_type": "economic_calendar_event"
}

Earnings Calendar record:

{
  "date": "2026-09-11",
  "country": "united states",
  "name": "Apple Inc",
  "full_name": "Apple Inc",
  "symbol": "AAPL",
  "eps_actual": "1.64",
  "eps_forecast": "1.60",
  "revenue_actual": "94.9B",
  "revenue_forecast": "94.1B",
  "market_cap": "3.4T",
  "time": "After Market Close",
  "pair_id": "6408",
  "link": "/equities/apple-computer-inc",
  "retrieved_at": "2026-09-11T15:52:49.395Z",
  "data_type": "earnings_calendar_event"
}

Dividends Calendar record:

{
  "date": "2026-09-11",
  "country": "united states",
  "name": "Microsoft Corp",
  "full_name": "Microsoft Corporation",
  "symbol": "MSFT",
  "ex_dividend_date": "11/09/2026",
  "dividend": "0.83",
  "type": "Cash",
  "payment_date": "12/12/2026",
  "yield": "0.65%",
  "link": "/equities/microsoft-corp",
  "retrieved_at": "2026-09-11T15:52:49.395Z",
  "data_type": "dividends_calendar_event"
}

IPO Calendar record:

{
  "date": "2026-09-15",
  "country": "united states",
  "name": "Example Robotics Inc",
  "symbol": "EXRB",
  "exchange": "NASDAQ",
  "ipo_size": "250M",
  "price_range": "18-20",
  "last": "21.50",
  "link": "/ipo/example-robotics-inc",
  "retrieved_at": "2026-09-11T15:52:49.395Z",
  "data_type": "ipo_calendar_event"
}

Holidays Calendar record:

{
  "date": "2026-11-26",
  "country": "united states",
  "exchange": "NYSE",
  "holiday": "Thanksgiving Day",
  "retrieved_at": "2026-09-11T15:52:49.395Z",
  "data_type": "holidays_calendar_event"
}

Run summary (key-value store):

Every run also writes one summary record. Its key matches the calendarType you ran (economic_calendar_summary, earnings_calendar_summary, dividends_calendar_summary, ipo_calendar_summary or holidays_calendar_summary):

{
  "calendar_type": "economic",
  "total_events": 97,
  "has_data": true,
  "retrieved_at": "2026-09-11T15:52:49.395Z",
  "data_format": "json",
  "unique_currency": ["USD", "EUR", "GBP", "JPY", "..."],
  "unique_importance": ["high", "medium", "low"]
}

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Use cases

• Trading & risk desks — build a daily feed of high-impact economic releases (CPI, NFP, rate decisions) to avoid trading into volatility, or to time entries around known catalysts.
• Earnings season tracking — pull the full earnings calendar for your watchlist countries and pipe EPS/revenue actual-vs-forecast into your own dashboards.
• Dividend income investing — track upcoming ex-dividend dates and yields across markets to plan purchases ahead of dividend capture.
• IPO research & deal flow — monitor new and recent listings, pricing ranges and deal sizes across exchanges.
• Trading calendar / holiday awareness — know in advance when exchanges are closed in each country so automated strategies and settlement logic don't fire on non-trading days.
• Fintech & data products — power a calendar widget, newsletter, or Slack/Discord bot with fresh market-calendar data on a schedule.
• Quant research — backfill historical economic surprises (actual vs. forecast) as a feature for event-driven models.

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How to run this Actor

1. Apify Console

1. Open the Actor and go to the Input tab.
2. Choose a Calendar type (Economic, Earnings, Dividends, IPO or Holidays).
3. Optionally narrow it down with Countries and a From/To date range.
4. For the Economic Calendar, optionally set Time zone, Time filter, Importances and Categories.
5. Click Start and open the Dataset tab once the run finishes.

2. Apify API / SDK

curl "https://api.apify.com/v2/acts/pintostudio~trader-master-calendar-data-investing-com/run-sync-get-dataset-items?token=<YOUR_API_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{
    "calendarType": "earnings",
    "country": ["united states"],
    "fromDate": "2026-09-11",
    "toDate": "2026-09-18"
  }'

Or from Python / JavaScript using the Apify Client:

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")
run = client.actor("pintostudio/trader-master-calendar-data-investing-com").call(
    run_input={
        "calendarType": "ipo",
        "fromDate": "2026-09-11",
        "toDate": "2026-10-11",
    }
)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

3. Scheduling

Use Apify Schedules to run this Actor automatically — for example, pull the Economic Calendar every morning, or refresh the Earnings Calendar weekly during earnings season — and connect it to integrations like Make, Zapier, Slack or Google Sheets to push fresh data wherever you need it.

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Cost & performance

This Actor is lightweight — it makes plain HTTP requests to Investing.com (no headless browser), so runs are fast and cheap. A typical single-calendar, single-country run for a week's date range completes in a few seconds and costs a fraction of a cent in compute units on the Apify Pay-Per-Result / platform pricing.

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FAQ

Can I scrape more than one calendar in a single run? No — each run scrapes one calendar, selected via calendarType. Run the Actor (or a saved Task) once per calendar you need, or schedule multiple Tasks side by side. This keeps each run fast, cheap and easy to filter independently.

What countries are supported? 90+ countries and regions, from major markets (United States, United Kingdom, Germany, Japan, China) to smaller and emerging markets. Leave country empty to get every available country for the selected calendar.

What date range can I request? Any range supported by Investing.com's calendar pages. Leave fromDate/toDate empty to default to today's (or this week's) entries, or set an explicit range for historical or forward-looking pulls.

Do I need an Investing.com account or API key? No. This Actor scrapes publicly available calendar pages — you only need an Apify account to run it.

How fresh is the data? Data is scraped live from Investing.com at run time. Every record includes a retrieved_at timestamp so you always know exactly when it was fetched.

Can I filter the Economic Calendar by importance or category? Yes — use importances (low/medium/high) and categories (e.g. employment, inflation, central banks) to narrow the Economic Calendar down to the events that matter to you.

Does this Actor work with Make, Zapier, n8n or Google Sheets? Yes — any Apify integration works out of the box, since results are delivered as a standard Apify dataset you can export as JSON, CSV, Excel, or push downstream via webhooks.

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Support & feedback

Found a bug or have a feature request? Open an issue via the Issues tab on this Actor's page, or contact Pinto Studio directly. Ratings and reviews help other traders and developers find this Actor — if it's useful to you, a ⭐ review is always appreciated.

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Related Actors

Looking for a single-purpose calendar instead of the all-in-one version? Pinto Studio also maintains focused, single-calendar Actors for Economic, Earnings, Dividends, IPO and Stock Market Holidays data — check the Pinto Studio profile for the full list.

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Investing.com calendar scraper — economic, earnings, dividends, IPO & holidays data API

Trader Master Calendar Data is an Investing.com scraper and financial calendar API built on Apify: an economic calendar API, earnings calendar scraper, dividend calendar data source, IPO calendar tracker, and stock market holidays calendar in one tool. If you searched for an Investing.com economic calendar scraper, an earnings calendar API, a way to scrape dividend dates, an IPO calendar API, or stock exchange holiday data by country, this Actor covers all five with a single, consistent JSON schema.

Common searches this Actor answers: investing.com economic calendar scraper, economic calendar API, earnings calendar scraper, earnings calendar API, dividend calendar scraper, ex-dividend date API, IPO calendar scraper, upcoming IPOs API, stock market holidays API, trading holidays by country, financial calendar data for trading algorithms, macro economic events dataset, CPI GDP interest rate scraper, and market calendar data for fintech apps. Use it to build trading signals, backtest event-driven strategies, power a financial newsletter, feed a trading dashboard, or enrich your own fintech product with reliable, structured market-calendar data — without building and maintaining your own Investing.com scraper.