# Economic Calendar: Actual vs Forecast, 20+ Countries (`scrapemint/economic-calendar-scraper`) Actor

Every macro release (CPI, NFP, GDP, rate decisions, PMIs, speeches) for 20+ economies with actual, forecast, previous, revision and surprise. Filter by date, importance and currency. Investing.com calendar alternative. $1 per 1,000 events.

- **URL**: https://apify.com/scrapemint/economic-calendar-scraper.md
- **Developed by:** [Ken M](https://apify.com/scrapemint) (community)
- **Categories:** Business, News
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.00 / 1,000 calendar events

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

## Economic Calendar: Actual vs Forecast, 20+ Countries

A full **economic calendar** as data: every macro release for the US, euro area, UK, Japan, China, Canada, Australia, Switzerland, India, Brazil and more. Each event comes with **actual, forecast, previous** and the **surprise**:

- **Indicators:** CPI, Nonfarm Payrolls, GDP, PMIs, retail sales, JOLTS, rate decisions, trade balance...
- **Speeches:** Fed, ECB, BoE, BoJ governors and members
- **Holidays:** bank holidays by country (optional)
- **History:** past dates return the released actuals, so you can backtest surprises

Filter by date range, importance (high/medium/low), currency and country. An **Investing.com economic calendar alternative**: no account, no key, no proxy. **$1 per 1,000 events**, no start fee.

### What you get

`dateTime` (UTC), `date`, `timeUtc`, `country`, `currency`, `event`, `importance`, `type`, `actual`, `forecast`, `previous`, `previousBeforeRevision`, `actualValue`, `forecastValue`, `previousValue`, `unit`, `surprise`, `surpriseDirection`, `released`, `eventId`, `url`

`actual`, `forecast` and `previous` are the figures as published ("7.271 M", "2.8%"). The `...Value` fields are the same numbers parsed for spreadsheets, with the unit (%, K, M, B, T) in `unit`. `surprise` is actual minus forecast.

### Example input

The coming week, high and medium impact, all countries (the default):

```json
{
  "daysAhead": 7,
  "importance": ["high", "medium"]
}
```

Every high-impact US and euro area release since September, with actuals, for a surprise backtest:

```json
{
  "dateFrom": "2026-09-01",
  "dateTo": "2026-10-15",
  "currencies": ["USD", "EUR"],
  "importance": ["high"],
  "onlyReleased": true
}
```

### Example output

```json
{
  "dateTime": "2026-09-01T14:00:00.000Z",
  "timeUtc": "14:00",
  "country": "United States",
  "currency": "USD",
  "event": "JOLTS Job Openings",
  "importance": "high",
  "type": "indicator",
  "actual": "7.271 M",
  "forecast": "7.496 M",
  "previous": "7.182 M",
  "previousBeforeRevision": "7.359 M",
  "actualValue": 7.271,
  "forecastValue": 7.496,
  "unit": "M",
  "surprise": -0.225,
  "surpriseDirection": "below",
  "released": true,
  "url": "https://www.mql5.com/en/economic-calendar/united-states/jolts-job-openings"
}
```

### Uses

- **Forex and futures traders:** the week's high-impact events in one table, scheduled every Monday
- **Surprise backtests:** actual vs forecast history per indicator, then line it up with price moves
- **Trading bots:** pause strategies around high-impact releases
- **Pair it with** [ForexFactory Economic Calendar](https://apify.com/scrapemint/forexfactory-economic-calendar) for a second source, and [CFTC Commitments of Traders](https://apify.com/scrapemint/cftc-cot-tracker) for positioning

### Pricing

- **$0.001** per event ($1 per 1,000)
- No start fee. A run that finds nothing is free.

### Notes

- Times are UTC. Events without a fixed time (holidays, tentative releases) have `allDayOrTentative: true` and no `timeUtc`.
- Data comes from the MQL5 economic calendar. The euro area appears as "European Union" for area-wide releases and by country (Germany, France...) for national ones. Use `countries` to split them.
- `previousBeforeRevision` is set when the previous figure was revised; `previous` is the revised number.
- Up to one year per run.

# Actor input Schema

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

YYYY-MM-DD. Empty = today. History goes back years, so past dates return released actuals.

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

YYYY-MM-DD. Empty = From date plus Days ahead. Up to one year per run.

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

Used when To date is empty.

## `importance` (type: `array`):

Which impact levels to include.

## `currencies` (type: `array`):

Optional, e.g. USD, EUR, GBP, JPY, CAD, AUD, NZD, CHF, CNY. Empty = all.

## `countries` (type: `array`):

Optional, e.g. United States, Germany, United Kingdom, Japan. Useful to split the euro area by country. Empty = all.

## `eventTypes` (type: `array`):

Indicators have actual/forecast/previous values; speeches are central bankers and officials; holidays are bank holidays.

## `onlyReleased` (type: `boolean`):

Only events that already have an actual value.

## `maxRows` (type: `integer`):

Stop after this many events.

## Actor input object example

```json
{
  "daysAhead": 7,
  "importance": [
    "high",
    "medium"
  ],
  "currencies": [],
  "countries": [],
  "eventTypes": [
    "indicator",
    "speech"
  ],
  "onlyReleased": false,
  "maxRows": 2000
}
```

# Actor output Schema

## `rows` (type: `string`):

Time (UTC), country, currency, event, importance, actual, forecast, previous, surprise.

## `summary` (type: `string`):

Events matched and any date chunks that failed.

# 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 = {
    "importance": [
        "high",
        "medium"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapemint/economic-calendar-scraper").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 = { "importance": [
        "high",
        "medium",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("scrapemint/economic-calendar-scraper").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 '{
  "importance": [
    "high",
    "medium"
  ]
}' |
apify call scrapemint/economic-calendar-scraper --silent --output-dataset

```

## MCP server setup

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

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/XSEajZSgIoAFW2Q5j/builds/mXFNbRlmkqELTWXhg/openapi.json