How to get Nasdaq Earnings and Dividend Calendar by webhook

Upcoming US earnings dates with consensus EPS estimates, plus optional dividend ex/payment dates from Nasdaq calendar APIs. nasdaq.com is one page of it. A run reads that public list and saves one row per result.

Set up the Apify actor

Apify is where this run is collected. An actor is the program that collects the rows. A task is that program saved with your settings, so the next section can ask for the latest rows. You need a free Apify account.

01
Open Nasdaq Earnings and Dividend Calendar and click Try for free. Create an Apify account if you do not have one. The Free plan does not ask for a card.

You are on the input form. Keep the sample for this first run.

{
    "daysAhead": 7,
    "includeEarnings": true,
    "includeDividends": false,
    "tickers": [],
    "maxItems": 5
}

03
Leave the proxy setting as it is. Click Start and wait until the run says Succeeded.
04
Open Storage, then Dataset. You should see eventType, calendarDate, symbol, companyName.
05
When you want the real list, raise maxItems. The sample cap is only there so the first run stays small.
06
Go back to the input and choose Save as a new task. Name it after this list.
07
Open the task. Copy the task ID from the address bar. Excel, Sheets, Power BI, and the other guides ask for this ID.
08
On the task, open Schedules and add a weekly run if you want fresh rows. Each run pays the start charge and the charge for the rows. The amounts are in the price list on this page.
09
Open Settings, then API & Integrations, and copy an API token. Excel, Sheets, and the other guides put this token in a download link. Anyone with that link can download the rows, so treat it like a password.

How to set up a webhook

Use the task ID and the API token from Set up the Apify actor, above.

01
In Apify, open Nasdaq Earnings and Dividend Calendar and go to Integrations.
02
Add a webhook for Actor run succeeded. Point it at the URL that should receive the run.
03
The payload includes the dataset id. Read the rows from that dataset, or from the task URL in the sections above.
04
The weekly schedule from Set up the Apify actor, above, is what makes this fire every week.

Schema

Examples come from the actor sample, not a live result.

Name	Description	Example
`eventType`	Event Type	`earnings`
`calendarDate`	Calendar Date	`2026-09-15`
`symbol`	Symbol	`TCOM`
`companyName`	Company Name	`Trip.com Group Limited`
`epsForecast`	Eps Forecast	`$0.84`
`lastYearReportDate`	Last Year Report Date	`2026-10-15`
`dividendExDate`	Dividend Ex Date	`2026-10-15`
`paymentDate`	Payment Date	`2026-10-15`
`recordDate`	Record Date	`2026-10-15`
`announcementDate`	Announcement Date	`2026-10-15`
`sourceUrl`	Source Url	`https://www.nasdaq.com/market-activity/earnings/2026-09-15`
`scrapedAt`	Scraped At	`2026-09-24T12:00:00.000Z`

eventTypeEvent Typeearnings
calendarDateCalendar Date2026-09-15
symbolSymbolTCOM
companyNameCompany NameTrip.com Group Limited
epsForecastEps Forecast$0.84
lastYearReportDateLast Year Report Date2026-10-15
dividendExDateDividend Ex Date2026-10-15
paymentDatePayment Date2026-10-15
recordDateRecord Date2026-10-15
announcementDateAnnouncement Date2026-10-15
sourceUrlSource Urlhttps://www.nasdaq.com/market-activity/earnings/2026-09-15
scrapedAtScraped At2026-09-24T12:00:00.000Z