💱 FX Rates Tracker — G10 + EM Currency Pairs Spot Data

Production-grade foreign exchange data for FX desks, treasury teams, fintech apps, and remittance platforms. Track 40+ currency pairs across G10 majors, Emerging Markets Asia, EM LatAm, EM EMEA, and exotic crosses with daily spot rates, change windows (1D / 1W / 1M / YTD), and 52-week range markers — all backed by European Central Bank reference rates and pay-per-result pricing that destroys Bloomberg's per-terminal economics.

This actor is part of the NexGenData financial data fleet, the same one that ships treasury yields, commodity futures, crypto screeners, and KOSPI / China stock screeners — covering the entire global asset stack on a unified API with the same idempotent dataset semantics. If you're already pulling rates from xe.com Premium, OANDA, or scraping ECB CSVs by hand, this is the upgrade: structured JSON, predictable schema, no rate limits to worry about, and you only pay for the pairs you actually consume.

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What you get per FX pair

Every record returned by the actor includes:

Field	Example	Description
pair	"EUR/USD"	Standard slash-formatted pair label
base_currency	"EUR"	ISO 4217 base code
quote_currency	"USD"	ISO 4217 quote code
rate	1.176847	Current spot rate (base → quote)
inverse_rate	0.849649	Convenience: 1 / rate
change_pct_1d	+0.21	1-day return % (vs prior business day)
change_pct_1w	-0.84	1-week return %
change_pct_1m	+1.42	1-month return %
change_pct_ytd	+4.12	Year-to-date return %
52w_high	1.184220	Highest of the anchor sample within trailing 52 weeks
52w_low	1.024500	Lowest of the anchor sample within trailing 52 weeks
category	"G10"	One of: G10, EM_Asia, EM_LatAm, EM_EMEA, Exotic
as_of_date	"2026-05-12"	UTC date the spot rate was published
data_source	"open.er-api.com"	Upstream provider used

The full pair universe shipped out of the box (~40 pairs):

• G10 majors: EUR/USD, USD/JPY, GBP/USD, USD/CHF, USD/CAD, AUD/USD, NZD/USD, EUR/GBP, EUR/JPY, GBP/JPY
• G10 crosses: EUR/CHF, AUD/JPY, EUR/CAD, EUR/AUD
• EM Asia: USD/CNY, USD/INR, USD/KRW, USD/SGD, USD/HKD, USD/THB, USD/IDR, USD/MYR, USD/PHP, USD/VND, USD/TWD
• EM LatAm: USD/BRL, USD/MXN, USD/ARS, USD/CLP, USD/COP, USD/PEN
• EM EMEA: USD/ZAR, USD/TRY, USD/RUB, USD/SAR, USD/AED, USD/EGP
• Exotics: USD/PLN, USD/CZK, USD/HUF, USD/NOK, USD/SEK, USD/DKK

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Input

{
  "pairs": ["EUR/USD", "USD/JPY", "GBP/USD"],
  "category": "G10",
  "base_currency": "",
  "limit": 100
}

• pairs — Optional whitelist. Leave empty to return everything (subject to other filters). Use BASE/QUOTE uppercase format.
• category — One of all, G10, EM_Asia, EM_LatAm, EM_EMEA, Exotic. Default all.
• base_currency — Optional ISO 4217 code (USD, EUR, GBP, …). Filters to pairs whose base matches.
• limit — Hard cap on records returned, between 1 and 200.

All four properties are optional. The default run returns the entire universe in one call.

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Pricing — pay-per-event

Event	Price	When charged
Actor start	$0.01	Once per run, when the container boots
FX pair record	$0.05	Per record pushed into the dataset

Real-world cost examples:

• Smoke test (5 G10 pairs): $0.01 + 5 × $0.05 = $0.26
• G10 majors snapshot (10 pairs): $0.01 + 10 × $0.05 = $0.51
• Full universe (40 pairs): $0.01 + 40 × $0.05 = $2.01
• Hourly G10 polling (10 pairs × 24 runs): $0.51 × 24 = $12.24/day, ~$367/month

Compare that to a single Bloomberg Terminal seat at $2,500+/month or a Refinitiv Workspace subscription at $1,800+/month — and those don't even include an API entitlement.

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How it compares

Source	Coverage	Latency	Price	API access	Notes
Bloomberg Terminal	All FX	Real-time tick	~$2,500/mo/seat	Add-on, expensive	Gold standard, but priced out of fintech budgets
Refinitiv Workspace	All FX	Real-time tick	~$1,800/mo/seat	Add-on	Same league as Bloomberg
xe.com Premium	~170 currencies	Daily mid-market	~$799/mo	Yes	Solid mid-market, but flat-fee even if you only need 5 pairs
OANDA Exchange Rates API	200+ pairs	EOD + intraday	$99–$999/mo	Yes	Tiered subscription, billed monthly whether you use it or not
TradingView FX	All FX	Real-time chart	$14–$59/mo	Limited — UI-first	Great charts, no clean dataset export
NexGenData FX Rates Tracker	40+ G10 + EM pairs	End-of-day ECB	$0.05 / pair record	Yes — Apify dataset	Pay only for what you consume; no seat fees

The economics favor us hard when:

• You only need a handful of pairs (FX desk monitoring USDJPY + EUR crosses)
• You poll on a schedule (treasury team running EOD valuations)
• You're a fintech embedding currency conversion (1 lookup per user-trip)
• You don't need millisecond tick data — daily ECB reference is fine

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How it works

1. Primary source — ExchangeRate API (open.er-api.com): a free, no-auth feed covering 160+ currencies updated daily. We pull a single USD-base snapshot and convert into every pair (including cross-rates) using simple FX algebra: BASE/QUOTE = USD_rate[QUOTE] / USD_rate[BASE].
2. Historical anchors — Frankfurter API (api.frankfurter.dev): backed by the European Central Bank's reference rates. We pull T-1, T-7, T-30, YTD, and T-365 USD-base snapshots in parallel, then compute change percentages and 52-week range markers.
3. Failover: if the primary feed misbehaves, the actor automatically falls back to Frankfurter for spot rates as well.
4. Cross-rates: non-USD pairs (EUR/GBP, EUR/JPY, AUD/JPY, etc.) are derived from the USD-base table — same approach used by Bloomberg's CCMP composite.
5. Weekends / holidays: historical anchors auto-nudge back to the previous business day so we never return null for a stale market close.

The full pipeline runs in under 8 seconds on a cold start. No browser automation, no flaky scraping — just clean HTTPS to two reputable JSON APIs.

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Use cases

FX desks — feed a market-monitor wallboard with refreshed pair tables every 15 minutes. The category filter lets you scope to just G10 or just EM EMEA.

Treasury teams at multinationals — value FX-denominated cash and intercompany positions at end-of-day. The as_of_date field aligns with ECB close, which most CFO orgs already use for monthly translation.

Fintech apps with currency conversion — embed the actor as a scheduled refresh into your pricing service. Pull EUR/USD, GBP/USD, USD/JPY once an hour and you've got authoritative quotes for under $40/mo.

International remittance platforms — power the "today's rate" widget that customers see before they send money. Pair with EM crosses (USD/PHP, USD/INR, USD/MXN, USD/BRL) for the corridors that actually have volume.

Macro research / hedge funds — build cross-sectional FX factor models. Pull the full universe once per day, dump to S3 or a warehouse, run signal generation.

Fintech reporters / data journalists — pull weekly EM-stress dashboards (USD/TRY, USD/ARS, USD/EGP) to back stories on capital flight.

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Quick start

curl -X POST \
  "https://api.apify.com/v2/acts/nexgendata~fx-rates-tracker/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"category":"G10","limit":10}'

Or pin a build:

$?token=...&build=0.0.1

The response is a JSON array of FX pair records — drop straight into pandas, DuckDB, or a JS frontend.

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Sister actors in the NexGenData fleet

Round out your data stack with the rest of the lineup:

• Treasury Yields & Bonds — UST curve, global sovereign yields, spreads
• Commodity Futures Tracker — energy, metals, ags front-month + curve
• Crypto Top 100 Screener — market-cap-ranked crypto screening
• Finance MCP Server — unified MCP endpoint over the whole financial fleet
• EastMoney China Stock Screener — A-shares and Shenzhen / Shanghai screening
• KOSPI Stock Screener — Korean equity screener

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Data caveats

• Frequency: daily mid-market close (ECB reference). Not suitable for HFT, dealer-quote, or intraday arbitrage — use a tick feed for that.
• Spread: rates are mid; no bid/ask split. Apply your own spread for trade-ready quotes.
• Sanctioned currencies: RUB rates reflect public reference quotes; consult your own compliance team before using them for client-facing transfers.
• 52w high/low is computed from a small anchor sample (spot, 1W, 1M, YTD, 1Y). For institutional-grade 52-week ranges, layer on a tick database.
• VES / ARS: hyperinflationary currencies — values can move significantly day-to-day. Always re-fetch before quoting.

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Support

Questions, custom pair requests, or fleet bundles? Email nexgendata@apify.com or open an issue on the actor page.

Built and maintained by NexGenData — browse the full fleet.