# Economic Calendar (`gochujang/economic-calendar`) Actor

Track key US macroeconomic events: FOMC meetings, BLS releases (CPI, PPI, NFP, unemployment). Data from Federal Reserve and Bureau of Labor Statistics official websites. Filter by date range and event category.

- **URL**: https://apify.com/gochujang/economic-calendar.md
- **Developed by:** [Hojun Lee](https://apify.com/gochujang) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

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

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Economic Calendar

Track key US macroeconomic events from official government sources. FOMC meeting dates from the Federal Reserve and economic data release schedules from the Bureau of Labor Statistics (BLS).

### Features

- **FOMC Meetings** — all Federal Reserve interest rate decision dates
- **BLS Releases** — CPI, PPI, Nonfarm Payrolls, Unemployment Rate, Import/Export Prices, and more
- Filter by date range and event category
- Structured output with dates, descriptions, and source links
- No API key required — official government sources only

### Output Fields

| Field | Description |
|-------|-------------|
| `event` | Event name |
| `category` | Category: Federal Reserve, Inflation, Employment, Trade, BLS |
| `date_start` | Start date (YYYY-MM-DD) |
| `date_end` | End date (for multi-day events like FOMC) |
| `time_et` | Release time (Eastern Time, when available) |
| `description` | Brief description of the event |
| `status` | "upcoming" or "past" |
| `source` | Data source name |
| `source_url` | Official source URL |

### Example Inputs

**Next 90 days of events:**

```json
{
  "daysAhead": 90,
  "daysBack": 0
}
```

**FOMC meetings only:**

```json
{
  "includeFomc": true,
  "includeBls": false,
  "daysAhead": 180
}
```

**Inflation events only:**

```json
{
  "categories": ["Inflation", "Federal Reserve"],
  "daysAhead": 90
}
```

### Pricing

- **$0.005** per actor start
- **$0.005** per event returned

### Use Cases

- Build macro event-driven trading calendars
- Alert on upcoming rate decisions and inflation data
- Track market-moving data releases for risk management
- Research historical macro event timing
- Align portfolio reviews with major economic announcements

# Actor input Schema

## `daysAhead` (type: `integer`):

Number of days in the future to include.

## `daysBack` (type: `integer`):

Number of days in the past to include.

## `includeFomc` (type: `boolean`):

Include Federal Reserve FOMC meeting dates.

## `includeBls` (type: `boolean`):

Include Bureau of Labor Statistics data releases (CPI, PPI, NFP, etc.).

## `categories` (type: `array`):

Filter by event category. Options: Federal Reserve, Inflation, Employment, Trade, BLS. Leave empty for all.

## `maxResults` (type: `integer`):

Maximum number of events to return.

## Actor input object example

```json
{
  "daysAhead": 90,
  "daysBack": 30,
  "includeFomc": true,
  "includeBls": true,
  "categories": [],
  "maxResults": 100
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("gochujang/economic-calendar").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("gochujang/economic-calendar").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 '{}' |
apify call gochujang/economic-calendar --silent --output-dataset

```

## MCP server setup

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

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/XXD6EC9FTKt75yice/builds/bNd1tfywULon1X02e/openapi.json