exchangerate.host FX Rates Scraper
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from $24.38 / 1,000 results
exchangerate.host FX Rates Scraper
Scrape currency exchange rates from exchangerate.host. Latest, historical, time-series for 170+ currencies. Convert any amount between any pair. No API key required.
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from $24.38 / 1,000 results
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ParseForge
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💱 Open ER-API FX Rates Scraper
🚀 Export currency exchange rates for 165+ currencies in seconds. Pull live or historical FX rates against any base currency, with auto-computed inverse rates and update timestamps. No API key, no signup, no rate-limit guesswork.
🕒 Last updated: 2026-05-13 · 📊 8 fields per record · 💱 165+ currencies · 📅 Latest and historical modes
The Open ER-API FX Rates Scraper queries the open.er-api.com public exchange-rate API and returns 8 fields per record, including the rate date, base currency, target currency, rate, inverse rate, and the publisher's last-update and next-update timestamps. The underlying feed is a community-funded open exchange-rate service that aggregates rates from central banks and forex providers, refreshed daily.
The catalog covers 165+ ISO 4217 currencies, from majors like USD, EUR, and JPY through emerging-market currencies, pegged currencies, and exotic pairs. This Actor produces one record per target currency, which makes the output ready to drop into a database, spreadsheet, or dashboard. Export it as CSV, Excel, JSON, or XML in under a minute.
| 🎯 Target Audience | 💡 Primary Use Cases |
|---|---|
| Finance teams, e-commerce platforms, ERP integrators, travel apps, billing systems, journalists, currency dashboards | Multi-currency invoicing, FX revaluation, historical analysis, dashboard widgets, accounting integrations, travel-cost estimates |
📋 What the FX Rates Scraper does
Two filtering workflows in a single run:
- 💱 Latest mode. Pull the most recent daily rates for any base currency against all 165+ targets.
- 📅 Historical mode. Pull rates for a specific past date (YYYY-MM-DD format).
- 🎯 Target filter. Restrict the output to a specific list of target currencies, or leave empty for all.
- 🔢 Cap with maxItems. Take the top N rows when you only need a handful.
Each record includes the rate date, base currency, target currency, the rate itself (how many target units per one base unit), the auto-computed inverse rate (how many base units per one target unit), and the publisher's time_last_update_utc and time_next_update_utc so you know exactly when the feed refreshed.
💡 Why it matters: running an e-commerce checkout, an ERP revaluation, or a travel app means knowing today's USD-to-EUR (or USD-to-NGN, or USD-to-VND) rate without paying for a commercial FX API. open.er-api.com is free to use and updated daily. This Actor structures the response into one record per target currency, with inverse rates already computed.
🎬 Full Demo
🚧 Coming soon: a 3-minute walkthrough showing how to go from sign-up to a downloaded dataset.
⚙️ Input
| Input | Type | Default | Behavior |
|---|---|---|---|
maxItems | integer | 10 | Records to return. Free plan caps at 10, paid plan at 1,000,000. |
mode | string | "latest" | latest for live rates, historical for a single past date. |
baseCurrency | string | "USD" | ISO 4217 code of the base currency. |
targetCurrencies | string[] | [] | Optional list to restrict output. Empty = return all targets. |
date | string | null | YYYY-MM-DD (required in historical mode). |
Example: latest USD rates against every currency.
{"maxItems": 200,"mode": "latest","baseCurrency": "USD"}
Example: historical EUR rates for a specific date, restricted to majors.
{"maxItems": 10,"mode": "historical","baseCurrency": "EUR","targetCurrencies": ["USD", "GBP", "JPY", "CHF", "AUD"],"date": "2025-12-31"}
⚠️ Good to Know: the underlying feed refreshes once per day on UTC. Intraday FX moves are not reflected. For sub-daily pricing, use a paid commercial FX provider. The Actor returns the publisher's
time_last_update_utcandtime_next_update_utcso you always know how fresh each rate is.
📊 Output
Each rate record contains 8 fields. Download the dataset as CSV, Excel, JSON, or XML.
🧾 Schema
| Field | Type | Example |
|---|---|---|
📅 date | string (YYYY-MM-DD) | "2026-05-13" |
🪙 baseCurrency | string | "USD" |
🎯 targetCurrency | string | "EUR" |
💱 rate | number | 0.851881 |
🔁 inverseRate | number | 1.17387 |
🕒 timeLastUpdate | string | null | "Wed, 13 May 2026 00:02:31 +0000" |
⏭️ timeNextUpdate | string | null | "Thu, 14 May 2026 00:02:31 +0000" |
🕒 scrapedAt | ISO 8601 | "2026-05-13T00:00:00.000Z" |
📦 Sample records
✨ Why choose this Actor
| Capability | |
|---|---|
| 🌐 | Wide currency coverage. 165+ ISO 4217 currencies, from majors to exotics. |
| 📅 | Latest and historical. Either today's rates or any past date in a single Actor. |
| 🔁 | Inverse rates included. No need to compute 1/rate downstream. |
| 🕒 | Publisher freshness. Each record carries the source's last-update and next-update timestamps. |
| ⚡ | Fast. Latest mode finishes in under 5 seconds. |
| 🚫 | No authentication. Public open data feed, no API key required. |
| 💵 | Free upstream. open.er-api.com is community-funded and free to query. |
📊 Clean, structured FX feeds are the backbone of every multi-currency invoice, expense report, and global checkout.
📈 How it compares to alternatives
| Approach | Cost | Coverage | History | Setup |
|---|---|---|---|---|
| ⭐ Open ER-API FX Rates Scraper (this Actor) | $5 free credit, then pay-per-use | 165+ currencies | ✅ Any past date | ⚡ 2 min |
| Raw open.er-api.com | Free | All currencies | Yes | 🐢 You build the pipeline |
| Commercial FX APIs (Fixer, OpenExchangeRates) | $10-$100/month | 170+ | Yes | ⏳ Account setup |
| Central bank reference rates | Free | Limited | Yes | 🕒 One-by-one parsing |
Pick this Actor when you want a clean, structured FX feed with no infra, no key management, and one record per target currency.
🚀 How to use
- 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
- 🌐 Open the Actor. Go to the Open ER-API FX Rates Scraper page on the Apify Store.
- 🎯 Set input. Pick a base currency, choose latest or historical, and optionally restrict to specific targets.
- 🚀 Run it. Click Start and let the Actor pull the rates.
- 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.
⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.
💼 Business use cases
🔌 Automating FX Rates Scraper
Control the scraper programmatically for scheduled runs and pipeline integrations:
- 🟢 Node.js. Install the
apify-clientNPM package. - 🐍 Python. Use the
apify-clientPyPI package. - 📚 See the Apify API documentation for full details.
The Apify Schedules feature lets you trigger this Actor on any cron interval. A daily run aligned with the source's UTC refresh keeps your FX table in lockstep with the publisher.
🌟 Beyond business use cases
Currency data powers more than commercial workflows. The same structured records support research, education, and personal projects.
🤖 Ask an AI assistant about this scraper
Open a ready-to-send prompt about this ParseForge actor in the AI of your choice:
- 💬 ChatGPT
- 🧠 Claude
- 🔍 Perplexity
- 🅒 Copilot
❓ Frequently Asked Questions
🧩 How does it work?
Pick a base currency and mode, click Start, and the Actor calls the open.er-api.com REST endpoint, parses the rates dictionary, applies optional target filtering, computes inverse rates, and emits one record per target currency.
📏 How accurate is the data?
The source aggregates rates from central banks and major forex providers and refreshes once per day on UTC. For business reporting and most consumer use cases, the precision is plenty. For sub-daily or tick-by-tick trading, use a streaming commercial FX API.
🔁 How often is the dataset refreshed?
The upstream feed refreshes once per day. Every Actor run pulls the latest snapshot, so a daily schedule aligned with the source's UTC refresh keeps your data current.
📅 Can I pull historical rates?
Yes. Set mode: "historical" and provide a date in YYYY-MM-DD format. The Actor returns the rate dictionary as of that day.
🪙 Which currencies are supported?
165+ ISO 4217 currencies, including all majors (USD, EUR, JPY, GBP, CHF, AUD, CAD), pegged currencies (HKD, BHD, JOD, AED), emerging markets (INR, BRL, ZAR, TRY, MXN), and many smaller currencies.
🔁 Why is inverseRate precomputed?
To save you from doing 1 / rate everywhere downstream. The inverse is the rate from target back to base, useful for two-way conversion utilities.
⏰ Can I schedule regular runs?
Yes. Apify Schedules supports any cron interval. A common pattern is one daily run at 00:30 UTC, shortly after the source publishes.
⚖️ Is this data legal to use?
Yes. The source publishes under an open-data license that permits free use including for commercial purposes. Review the source's terms for redistribution.
💼 Can I use this data commercially?
Yes. FX reference rates from open data sources are widely used in commercial products including e-commerce, ERP, and travel.
💳 Do I need a paid Apify plan to use this Actor?
No. The free Apify plan is enough for testing and small runs (10 records per run). A paid plan lifts the limit and unlocks scheduling.
🆘 What if I need help?
Our support team is here to help. Contact us through the Apify platform or use the Tally form linked below.
🔌 Integrate with any app
FX Rates Scraper connects to any cloud service via Apify integrations:
- Make - Automate multi-step workflows
- Zapier - Connect with 5,000+ apps
- Slack - Push rate alerts into channels
- Airbyte - Pipe FX data into your warehouse
- GitHub - Trigger runs from commits and releases
- Google Drive - Export datasets straight to Sheets
You can also use webhooks to trigger downstream actions when a run finishes. Push fresh rates into your ERP, or alert your team when a currency moves past a threshold.
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💡 Pro Tip: browse the complete ParseForge collection for more financial and reference-data scrapers.
🆘 Need Help? Open our contact form to request a new scraper, propose a custom data project, or report an issue.
⚠️ Disclaimer: this Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by open.er-api.com, openexchangerates.org, or any rate publisher. All trademarks mentioned are the property of their respective owners. Only publicly available open exchange-rate data is collected.