# Upcoming earnings next 7 days

**Use case:** 

Pull upcoming US earnings dates and consensus EPS estimates from Nasdaq for the next week. Export calendar rows as JSON or CSV via Apify. Official source.

## Input

```json
{
  "daysAhead": 7,
  "includeEarnings": true,
  "includeDividends": false,
  "tickers": [],
  "maxItems": 5,
  "proxyType": "none",
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

## Output

```json
{
  "eventType": {
    "label": "eventType",
    "format": "string"
  },
  "calendarDate": {
    "label": "calendarDate",
    "format": "string"
  },
  "symbol": {
    "label": "symbol",
    "format": "string"
  },
  "companyName": {
    "label": "companyName",
    "format": "string"
  },
  "marketCap": {
    "label": "marketCap",
    "format": "string"
  },
  "fiscalQuarterEnding": {
    "label": "fiscalQuarterEnding",
    "format": "string"
  },
  "epsForecast": {
    "label": "epsForecast",
    "format": "string"
  },
  "noOfEsts": {
    "label": "noOfEsts",
    "format": "string"
  },
  "lastYearEPS": {
    "label": "lastYearEPS",
    "format": "string"
  },
  "lastYearReportDate": {
    "label": "lastYearReportDate",
    "format": "string"
  },
  "time": {
    "label": "time",
    "format": "string"
  },
  "dividendExDate": {
    "label": "dividendExDate",
    "format": "string"
  },
  "paymentDate": {
    "label": "paymentDate",
    "format": "string"
  },
  "recordDate": {
    "label": "recordDate",
    "format": "string"
  },
  "dividendRate": {
    "label": "dividendRate",
    "format": "string"
  },
  "announcementDate": {
    "label": "announcementDate",
    "format": "string"
  },
  "sourceUrl": {
    "label": "sourceUrl",
    "format": "string"
  },
  "scrapedAt": {
    "label": "scrapedAt",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Nasdaq Earnings and Dividend Calendar](https://apify.com/bakos_bence/nasdaq-earnings-calendar.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/bakos_bence/nasdaq-earnings-calendar.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/bakos_bence/nasdaq-earnings-calendar.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).