# Earnings Calendar Data (investing.com) (`pintostudio/earnings-calendar-data-investing-com`) Actor

Scrape upcoming and historical corporate earnings dates from Investing.com. Get EPS and revenue forecasts vs. actuals, market cap, release timing, and ticker links by country and date range, exported as JSON, CSV, or Excel.

- **URL**: https://apify.com/pintostudio/earnings-calendar-data-investing-com.md
- **Developed by:** [Pinto Studio](https://apify.com/pintostudio) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **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 usage examples, see the [API](#api) section below.

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).

# README

## Earnings Calendar Data (Investing.com)

Scrape the **corporate earnings calendar** straight from [Investing.com](https://www.investing.com/earnings-calendar/) — upcoming and historical earnings releases for public companies worldwide, complete with EPS and revenue estimates vs. actuals, market cap, and the exact time of day the report drops. 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 trading model, a research pipeline, or an investor-relations dashboard.

### What this Actor does

Point it at a country and a date range and it returns one row per company reporting earnings in that window:

- Company name, full legal name, ticker symbol, and a direct link to its Investing.com profile
- **EPS forecast vs. EPS actual**
- **Revenue forecast vs. revenue actual**
- Market capitalization at scrape time
- Release timing — *before market open*, *during market hours*, or *after market close*
- The calendar date of the release

Every run also writes a small **run summary** (total events found, the distinct countries and release-time buckets 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 an earnings calendar API instead of checking the site by hand

- **Backtesting & quant research** — build a historical panel of EPS/revenue surprises to test earnings-drift or post-earnings-announcement strategies.
- **Pre-earnings screening** — pull tomorrow's or this week's reporting companies for a country or sector you trade, before the market opens.
- **Trading bots & alerting** — schedule daily runs and pipe new rows into Slack, a spreadsheet, or your own database the moment a report is due.
- **Investor relations & competitive tracking** — watch when peers and portfolio companies report.
- **Financial content & newsletters** — auto-generate "who reports this week" roundups.

### Input

All fields are optional — call it with an empty input to get the current week's earnings 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:

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

### Output example

One dataset item per earnings release:

```json
{
  "date": "11/09/2026",
  "country": "United States",
  "name": "Oracle",
  "full_name": "Oracle Corporation",
  "symbol": "ORCL",
  "eps_actual": "1.47",
  "eps_forecast": "1.32",
  "revenue_actual": "14.93B",
  "revenue_forecast": "14.6B",
  "market_cap": "312.5B",
  "time": "after market close",
  "pair_id": "13246",
  "link": "https://www.investing.com/equities/oracle-corp",
  "retrieved_at": "2026-09-11T13:10:13.063742",
  "data_type": "earnings_calendar_event"
}
```

Fields Investing.com doesn't provide for a given company (for example `eps_actual` before the report is released) 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 tomorrow's reporters 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 earnings-calendar endpoint directly — no login or token required.

**Can I get earnings 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 earnings calendar exposes — typically several weeks in the past and future. Very old historical data may not be available on the source site.

**Why is `eps_actual` or `revenue_actual` `null`?**
Investing.com only publishes actuals once a company has reported. For upcoming earnings, only the forecast fields are populated.

**What does the `time` field mean?**
It's the release timing relative to market hours: `before market open`, `during market hours`, or `after market close`.

### Related Actors from Pinto Studio

- [Economic Calendar Data (Investing.com)](https://apify.com/pintostudio/economic-calendar-data-investing-com) — macro events (rates, GDP, inflation, employment) from the same calendar family.
- [YouTube Transcript Scraper](https://apify.com/pintostudio/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.

# Actor input Schema

## `country` (type: `string`):

The country where the stock is listed

## `fromDate` (type: `string`):

Start date for retrieving the economic calendar in 'YYYY-MM-DD' format. If not provided, only the current day's economic calendar will be retrieved.

## `toDate` (type: `string`):

End date for retrieving the economic calendar in 'YYYY-MM-DD' format. If not provided, only the current day's economic calendar will be retrieved.

## Actor input object example

```json
{}
```

# Actor output Schema

## `earningsCalendarEvents` (type: `string`):

One row per company earnings-release event (or a single error row if none matched the filters). See the Dataset schema for field details.

## `runSummary` (type: `string`):

Aggregated counts, countries and release-time buckets for this run. See the Key-value store schema for field details.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "country": ""
};

// Run the Actor and wait for it to finish
const run = await client.actor("pintostudio/earnings-calendar-data-investing-com").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "country": "" }

# Run the Actor and wait for it to finish
run = client.actor("pintostudio/earnings-calendar-data-investing-com").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "country": ""
}' |
apify call pintostudio/earnings-calendar-data-investing-com --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,pintostudio/earnings-calendar-data-investing-com"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/zgIlGf9aqEqvNDF6U/builds/c0OEm1HGXNbc5bHTw/openapi.json