Dividends Calendar Data (investing.com)

Scrape the corporate dividends calendar straight from Investing.com — upcoming and historical dividend declarations for public companies worldwide, complete with ex-dividend date, payment date, dividend amount, dividend yield, and dividend type. No login, no API key, no browser automation to maintain on your side — just clean, structured JSON, CSV, or Excel you can plug straight into a dividend-income tracker, a research pipeline, or a portfolio dashboard.

What this Actor does

Point it at a country and a date range and it returns one row per company declaring or paying a dividend in that window:

• Company name, full legal name, ticker symbol, and a direct link to its Investing.com profile
• Ex-dividend date — the first day the stock trades without the upcoming dividend
• Payment date — when the dividend is actually paid out
• Dividend amount per share, in the company's local currency
• Dividend yield, as a percentage
• Dividend type — Annual, Interim, Final, Quarterly, Monthly, Bonus, or Special
• The calendar date of the record

Every run also writes a small run summary (total events found, the distinct countries and dividend types seen) to the key-value store, so you can sanity-check a run without paging through the whole dataset.

Because it talks to Investing.com's own calendar-filter endpoint rather than screen-scraping rendered pages, it's fast (a same-day pull typically finishes in a few seconds) and doesn't need a headless browser.

Why use a dividends calendar API instead of checking the site by hand

• Dividend-income investing — build a watchlist of upcoming ex-dividend dates so you buy in time to qualify for a payout.
• Backtesting & quant research — build a historical panel of dividend amounts and yields to test dividend-capture or income strategies.
• Portfolio tracking — get an alert-ready feed of when your holdings go ex-dividend or pay out.
• Trading bots & alerting — schedule daily runs and pipe new rows into Slack, a spreadsheet, or your own database the moment a dividend is declared.
• Financial content & newsletters — auto-generate "dividends this week" roundups by country or sector.

Input

All fields are optional — call it with an empty input to get the current week's dividends calendar for every country.

Field	Type	Description	Default
country	string (select)	A single country to filter by, e.g. united states, united kingdom, germany, japan... Leave empty for all countries.	(all countries)
fromDate	string (YYYY-MM-DD)	Start of the date range.	current day/week
toDate	string (YYYY-MM-DD)	End of the date range.	current day/week

Example input:

{
  "country": "united states",
  "fromDate": "2026-09-08",
  "toDate": "2026-09-12"
}

Output example

One dataset item per dividend event:

{
  "date": "11/09/2026",
  "country": "United States",
  "name": "Garmin",
  "full_name": "Garmin Ltd",
  "symbol": "GRMN",
  "ex_dividend_date": "11/09/2026",
  "dividend": "1.05",
  "type": "Quarterly",
  "payment_date": "25/09/2026",
  "yield": "1.54%",
  "link": "https://www.investing.com/equities/garmin-ltd-dividends",
  "retrieved_at": "2026-09-11T14:10:31.376821",
  "data_type": "dividends_calendar_event"
}

Fields Investing.com doesn't provide for a given company come back as null rather than being omitted, so every row has a consistent shape.

This Actor also ships a full Output schema (Output tab in the Apify Console), a Dataset schema describing every field above, a Key-value store schema for the run-summary record, and an OpenAPI schema documenting how to call it and retrieve results over the Apify API — see the corresponding tabs on this Actor's page.

How to run it

• Apify Console — open the Input tab, set a country and/or date range (or leave everything blank for "this week, everywhere"), click Start.
• Apify API / SDK — call run-sync-get-dataset-items for a synchronous call that returns the rows directly, or runs to start an async run and poll for the dataset.
• Schedule it — add a daily/weekly Apify Schedule so this week's ex-dividend dates land in your dataset automatically, or save a few common filters as Tasks (see the Tasks tab) so you don't have to retype input every time.
• Integrations — pipe results to Google Sheets, Slack, Zapier/Make, webhooks, or your own endpoint straight from the Integrations tab.

Cost & limits

Pricing follows this Actor's Apify pricing model shown on its Pricing tab (usage-based compute). A single day/single-country pull is typically a handful of rows and finishes in a few seconds; wide date ranges or "all countries" runs take proportionally longer since more calendar rows are parsed.

FAQ

Does this need an Investing.com account or API key? No. It scrapes Investing.com's public dividends-calendar endpoint directly — no login or token required.

Can I get dividend data for more than one country in a single run? The country field is a single selection per run today. Run it once per country (or leave it empty to get every country at once) and merge the datasets, or fan out multiple Actor runs/Tasks in parallel.

How far back or forward can fromDate/toDate go? As far as Investing.com's own dividends calendar exposes — typically several weeks in the past and future. Very old historical data may not be available on the source site.

What's the difference between ex_dividend_date and payment_date? ex_dividend_date is the cutoff — you must own the stock before this date to receive the dividend. payment_date is when the dividend actually lands in shareholders' accounts, usually a few weeks later.

What does the type field mean? The dividend's frequency or nature: Annual, Interim, Final, Quarterly, Monthly, Bonus, or Special.

Related Actors from Pinto Studio

• Earnings Calendar Data (Investing.com) — corporate earnings releases, EPS and revenue forecasts vs. actuals, from the same calendar family.
• Economic Calendar Data (Investing.com) — macro events (rates, GDP, inflation, employment).
• YouTube Transcript Scraper — pull transcripts from any YouTube video for research or content pipelines.

Support

Found a bug or have a feature request? Open an issue via the Actor's Issues tab in Apify Console, or reach out through the developer's Apify profile.