Developers and spreadsheet users often need historical exchange rates for reporting, bookkeeping, ecommerce reconciliation, or dashboards.
The usual workflow is awkward:
- Search a currency converter.
- Copy a single number.
- Repeat for many dates.
- Paste everything into a spreadsheet.
This tutorial shows a simpler workflow using FXpeek's free JSON and CSV endpoints.
1. Get The Latest Reference Rate
CODE
curl 'https://fxpeek.com/api/rates?from=CNY&to=TRY'
Example response:
CODE
{
"from": "CNY",
"to": "TRY",
"rate": 6.789,
"timestamp": 1780576363130
}
2. Get A Historical Series
CODE
curl 'https://fxpeek.com/api/history?from=CNY&to=TRY&days=365'
Use this when you want to build:
- A chart
- A dashboard
- A report
- A validation script
- A lightweight finance tool
3. Download CSV For Excel Or Google Sheets
CODE
curl -L 'https://fxpeek.com/api/csv?from=CNY&to=TRY&days=365' \
-o cny-try-history.csv
CSV output:
CODE
date,base,target,rate
2026-05-28,CNY,TRY,6.7699
2026-05-29,CNY,TRY,6.7811
2026-06-01,CNY,TRY,6.7839
4. Use It In JavaScript
CODE
async function getHistory(from, to, days = 365) {
const url = new URL('https://fxpeek.com/api/history');
url.searchParams.set('from', from);
url.searchParams.set('to', to);
url.searchParams.set('days', String(days));
const res = await fetch(url);
if (!res.ok) {
throw new Error(`FX API error: ${res.status}`);
}
return res.json();
}
const history = await getHistory('CNY', 'TRY', 30);
console.log(history.rates);
5. Use It In Python
CODE
import requests
import pandas as pd
url = "https://fxpeek.com/api/history"
params = {"from": "CNY", "to": "TRY", "days": 365}
data = requests.get(url, params=params, timeout=20).json()
df = pd.DataFrame(data["rates"])
df.to_csv("cny-try-history.csv", index=False)
Notes
FXpeek provides reference rates for historical lookup, spreadsheets, reports, and lightweight apps. These are not transaction quotes.
API docs:
Good Next Steps
- Add a date picker.
- Cache the API result.
- Build a chart with Recharts or Chart.js.
- Export monthly averages.
- Combine rates with ecommerce order data.
Vollständiger Original-Artikel
Den kompletten Beitrag mit allen Details direkt auf dev.to lesen.
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