# US Economic Calendar: BLS, BEA, Census, FOMC (`pushbuild/us-economic-calendar`) Actor

Official US macro release schedule from the agencies themselves: CPI, jobs, PPI, GDP, PCE, retail sales, trade, housing and FOMC meetings and minutes. Exact Eastern release times, reference periods and a high-impact flag.

- **URL**: https://apify.com/pushbuild/us-economic-calendar.md
- **Developed by:** [Pushbuild Data](https://apify.com/pushbuild) (community)
- **Categories:** Business, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.30 / 1,000 releases

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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

## 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

## US Economic Calendar: BLS, BEA, Census, FOMC

The official US macro release schedule in one JSON feed, taken directly from each agency's own published calendar.

### What you get

Per release: date, **exact release time and ISO datetime in US Eastern**, agency, release name, reference period, a high-impact flag, and the source link. FOMC rows include the meeting start date, whether it has a Summary of Economic Projections, and the minutes release date.

### Coverage

- **BLS**: CPI, Employment Situation, PPI, JOLTS, Employment Cost Index, Real Earnings and more.
- **BEA**: GDP, Personal Income and Outlays (PCE), International Trade, and more.
- **Census**: retail sales, new residential construction, durable goods, construction spending, wholesale trade, and more.
- **Federal Reserve**: FOMC meetings and minutes.

### Input examples

```json
{"highImpactOnly": true}
```

```json
{"keyword": "Consumer Price Index", "dateFrom": "2026-01-01", "dateTo": "2026-12-31"}
```

```json
{"sources": ["fomc"], "dateFrom": "2026-01-01", "dateTo": "2027-12-31"}
```

### Notes

- Schedules are as currently published by the agencies, which occasionally reschedule.
- Pricing: per release returned.

# Actor input Schema

## `dateFrom` (type: `string`):

YYYY-MM-DD. Default: today.

## `dateTo` (type: `string`):

YYYY-MM-DD. Default: 60 days after the start.

## `sources` (type: `array`):

BLS (CPI, jobs, PPI), BEA (GDP, PCE, trade), Census (retail sales, housing, durable goods), Federal Reserve (FOMC).

## `highImpactOnly` (type: `boolean`):

CPI, jobs, PPI, GDP, PCE, retail sales, JOLTS, trade, durable goods, housing starts and FOMC.

## `keyword` (type: `string`):

e.g. Consumer Price Index.

## `maxItems` (type: `integer`):

Maximum rows returned.

## Actor input object example

```json
{
  "dateFrom": "2026-10-15",
  "sources": [
    "bls",
    "bea",
    "census",
    "fomc"
  ],
  "highImpactOnly": false,
  "maxItems": 1000
}
```

# 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 = {
    "dateFrom": "2026-10-15"
};

// Run the Actor and wait for it to finish
const run = await client.actor("pushbuild/us-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 = { "dateFrom": "2026-10-15" }

# Run the Actor and wait for it to finish
run = client.actor("pushbuild/us-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 '{
  "dateFrom": "2026-10-15"
}' |
apify call pushbuild/us-economic-calendar --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,pushbuild/us-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/9sMY7T7AxYKL1BeNP/builds/mkhlt2is7sbtoTFnE/openapi.json