# 📅 ForexFactory Economic Calendar Scraper (`hipersoft/forexfactory-scraper`) Actor

Scrape the ForexFactory economic calendar — every high, medium and low-impact macro event with its release time, forecast, previous and actual values. Pull this week, this month, today or tomorrow, filter by impact or currency, and export clean rows as JSON, CSV or Excel.

- **URL**: https://apify.com/hipersoft/forexfactory-scraper.md
- **Developed by:** [hiper soft](https://apify.com/hipersoft) (community)
- **Categories:** News
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.0015 / event scraped

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?

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

## 📅 ForexFactory Economic Calendar Scraper — Macro Events, Forecasts & Actuals

Scrape the **ForexFactory economic calendar** into clean, structured **JSON, CSV or Excel**. Pull every **high, medium and low-impact** macro event — central bank rate decisions, CPI and inflation prints, non-farm payrolls, GDP, PMIs, retail sales and more — with its **release time, forecast, previous and actual** values, **one tidy row per event**. Built for trading dashboards, backtesting, risk calendars, research and automations.

### Features

- 📊 **Every impact level** — High, Medium, Low and Holiday events in one Actor, so nothing on the calendar is missed.
- 🗓️ **Choose your window** — pull **this week**, **this month**, **today** or **tomorrow** and combine multiple windows in a single run.
- 💱 **Currency coverage** — events for USD, EUR, GBP, JPY, AUD, CAD, CHF, CNY, NZD and All-currency (global) items.
- 🎯 **Impact filter** — keep only High-impact market movers, or any mix of impact levels you care about.
- 🔎 **Currency filter** — narrow to just the currencies you trade (e.g. `USD`, `EUR`).
- 🔢 **Forecast · Previous · Actual** — the consensus forecast, the prior reading and the released actual (once out) for each event.
- 🕒 **Precise release times** — each event carries a full timestamp so you can line it up with your own timezone.
- 📄 **Volume control** — set `maxItems` to balance coverage and cost.

### Input

```json
{
  "feeds": ["thisweek"],
  "impactFilter": ["High", "Medium"],
  "countryFilter": ["USD", "EUR"],
  "maxItems": 1000
}
```

| Field | Description |
| --- | --- |
| `feeds` | Which calendar window(s) to pull: `thisweek` (default), `thismonth`, `today`, `tomorrow`. Combine as many as you like. |
| `impactFilter` | Optional. Keep only these impact levels: `High`, `Medium`, `Low`, `Holiday`. Empty = all. |
| `countryFilter` | Optional. Keep only these currencies/regions (e.g. `USD`, `EUR`, `GBP`, `All`). Empty = all. |
| `maxItems` | Maximum events to collect across all selected windows (0 = no limit). |
| `proxyConfiguration` | Proxy settings. Not required by default. |

#### How to use

Pick one or more `feeds` and run. Add an `impactFilter` to focus on the market-moving events, or a `countryFilter` to keep only the currencies you trade. A run with no input returns this week's full calendar.

### Use cases

- Build a daily or weekly trading calendar of upcoming high-impact events.
- Feed forecast vs actual data into backtests and volatility models.
- Power a risk dashboard that flags rate decisions, CPI and NFP releases.
- Alert your team ahead of market-moving prints for specific currencies.
- Keep an economic-events dataset fresh in a spreadsheet, database or analytics pipeline.

### What you get

Each event is one dataset record:

```json
{
  "title": "ISM Manufacturing PMI",
  "country": "USD",
  "date": "2026-09-01T14:00:00.000Z",
  "dateRaw": "2026-09-01T10:00:00-04:00",
  "impact": "High",
  "forecast": "55.2",
  "previous": "55.6",
  "actual": null,
  "url": null,
  "feed": "thisweek"
}
```

#### Output schema

| Field | Type | Description |
|---|---|---|
| `title` | string | Event name (e.g. `ISM Manufacturing PMI`, `Core CPI m/m`). |
| `country` | string | Currency or region the event relates to (e.g. `USD`, `EUR`, `All`). |
| `date` | string | Event release time as an ISO 8601 UTC timestamp. |
| `dateRaw` | string | The original release time string, keeping the source timezone offset. |
| `impact` | string | Expected market impact: `High`, `Medium`, `Low` or `Holiday`. |
| `forecast` | string | Consensus forecast value, where published. |
| `previous` | string | Previous reading for the same indicator, where published. |
| `actual` | string | Released actual value, present once the event is out. |
| `url` | string (URL) | Link to the event detail, where provided. |
| `feed` | string | Which calendar window the event came from. |

### Related Actors

- [Yahoo Finance Scraper](https://apify.com/hipersoft/yahoo-finance-scraper)
- [TradingView Screener Scraper](https://apify.com/hipersoft/tradingview-screener-scraper)
- [Finviz Scraper](https://apify.com/hipersoft/finviz-scraper)
- [CoinGecko Scraper](https://apify.com/hipersoft/coingecko-scraper)

### FAQ

**Do I need an account or login?**
No. Just pick a calendar window and run.

**Which time zone are the dates in?**
`date` is normalized to ISO 8601 UTC so it's unambiguous, and `dateRaw` keeps the original release-time string with its timezone offset if you'd rather convert it yourself.

**What do "forecast", "previous" and "actual" mean?**
`forecast` is the market consensus expectation, `previous` is the prior reading for the same indicator, and `actual` is the released figure — populated once the event has taken place.

**Can I get only high-impact events?**
Yes. Set `impactFilter` to `["High"]` (or any mix) to keep just the events you care about.

**How far ahead can I look?**
Use the `thisweek`, `thismonth`, `today` and `tomorrow` windows. Combine them in one run to cover exactly the range you need.

**What export formats are supported?**
JSON, CSV, Excel and XML, plus the Apify API for programmatic access.

**Can I use this with n8n?**
Yes. Use the [Apify node for n8n](https://docs.apify.com/platform/integrations/n8n) to run this Actor and pull its dataset straight into an n8n workflow — trigger it on a schedule, then route the events to a database, spreadsheet or messaging step.

**Can I connect it to other tools?**
This Actor connects with almost any cloud service or web app thanks to [integrations on the Apify platform](https://apify.com/integrations). It works with [Make](https://apify.com/integrations/make), [Zapier](https://apify.com/integrations/zapier), [Slack](https://docs.apify.com/platform/integrations/slack), [Airbyte](https://docs.apify.com/platform/integrations/airbyte), [GitHub](https://docs.apify.com/platform/integrations/github), [Google Drive](https://docs.apify.com/platform/integrations/drive) and [many more](https://apify.com/integrations), plus the [Apify API](https://docs.apify.com/api/v2), JavaScript/Python clients and MCP. Or use [webhooks](https://docs.apify.com/platform/integrations/webhooks) to trigger an action whenever a run finishes.

### Notes

Returns only public economic-calendar data — the same information any visitor can see. This is an independent tool and is not affiliated with, endorsed by or connected to ForexFactory; "ForexFactory" is a trademark of its respective owner. Original clean-room implementation.

# Actor input Schema

## `feeds` (type: `array`):

Which calendar window(s) to pull. 'This week' is the default and always available; the other windows are included when published. Select one or more.

## `impactFilter` (type: `array`):

Keep only events at these impact levels. Leave empty to include every impact level (High, Medium, Low and Holiday).

## `countryFilter` (type: `array`):

Keep only events for these currencies or regions, e.g. USD, EUR, GBP, JPY, AUD, CAD, CHF, CNY, NZD or All. Leave empty to include every currency.

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

Maximum number of events to collect across all selected windows (0 = no limit; collect everything the windows return).

## `proxyConfiguration` (type: `object`):

Proxy settings. Not required by default. If you experience reduced results, enable Apify Residential proxy for the most reliable access.

## Actor input object example

```json
{
  "feeds": [
    "thisweek"
  ],
  "maxItems": 1000,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

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

The results as dataset items.

# 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 = {
    "feeds": [
        "thisweek"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("hipersoft/forexfactory-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 = { "feeds": ["thisweek"] }

# Run the Actor and wait for it to finish
run = client.actor("hipersoft/forexfactory-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 '{
  "feeds": [
    "thisweek"
  ]
}' |
apify call hipersoft/forexfactory-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,hipersoft/forexfactory-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/kGlaHrHCWRm86TiyT/builds/mM1UQ4LkbNfa5aZ6C/openapi.json