ForexFactory Economic Calendar Scraper

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

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

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:

{
  "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

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 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. It works with Make, Zapier, Slack, Airbyte, GitHub, Google Drive and many more, plus the Apify API, JavaScript/Python clients and MCP. Or use 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.

You pay only for what the run returns. Set a maximum cost per run and it stops cleanly at that limit.