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Free Open Exchange Rates to BigQuery Connector by OWOX: Take Full Control of Your Currency Data

Running financial analysis is one thing. But automating live currency data flows into BigQuery without hitting API limits, tool fees, or brittle pipelines? That’s where it gets tricky.

Forget CSV uploads, copy-paste hacks, or expensive ETL tools.

Google Apps Script pulling Ads data from platforms like Meta, TikTok, and Shopify into a Google Sheet. i-radius

With this free, open-source connector from OWOX Data Marts (Community Apps Script Edition), you can sync real-time exchange rate data from Open Exchange Rates directly into Google BigQueryno code, no fees, just transparent, scalable FX data pipelines built for analysts.

Why We Made This Free Connector

Currency data powers everything from pricing models to international revenue reporting – but piping live exchange rates into BigQuery in a clean, analyst-ready format isn’t always straightforward.

At OWOX, we believe analysts and finance teams shouldn’t have to rely on clunky exports, overpriced ETL tools, or locked-down integrations just to access FX data. That’s why we built this free Open Exchange Rates to BigQuery connector as part of the OWOX Data Marts (Community Apps Script Edition).

No subscriptions. No usage caps. Just full transparency and control over your currency data – streaming directly into BigQuery for modeling, enrichment, and automation.

Whether you’re aligning pricing to global markets, tracking rate shifts over time, or joining FX data with sales or spend pipelines, this connector keeps you in charge.

Join the Open-Source Movement

We’re not just releasing a free connector, we’re inviting you to help shape the future of open marketing analytics tools.

At OWOX, we believe that data access and transparency should be a right, not a luxury. That’s why this connector is 100% open-source, giving you full control over how it works, what it does, and how far it can go.

If you like what we do, please ⭐ star our GitHub repo to show your support – it helps us reach more analysts and grow the number of available connectors.

Also, feel free to:

  • Explore the code and customize it to fit your needs.
  • Contribute to this data connectivity ecosystem: suggest new connectors, pull new connectors, and / or provide documentation to support the wider community.
  • Join our community & share your feedback.

We’ve built the core, the foundation; now it’s your turn to take it further.

Why Send Open Exchange Rates Data to BigQuery?

Exchange rate data is vital for accurate forecasting, budgeting, and multi-currency reporting. But Open Exchange Rates doesn’t offer a native integration with Google BigQuery, which means you're often stuck with fragmented workflows and manual effort.

No direct pipeline to BigQuery
CSV exports that don’t scale or automate
No way to blend exchange rates with spend, sales, or marketing data in real time

This connector changes that.

Automate exchange rate imports straight into your BigQuery tables
Define your own start dates and target currencies
Get clean, structured FX data ready for modeling, reporting, or joining with other datasets

Instead of wrestling with workarounds or rigid platforms, analysts can now pull live Open Exchange Rates data into BigQuery with full transparency and control, without writing a single line of code.

Why Choose the OWOX Connector for Open Exchange Rates to BigQuery

The OWOX connector gives you more than a simple data transfer–it offers full control over your exchange rate data directly in BigQuery. Unlike paid ETL platforms that limit access, enforce rigid schemas, or lock features behind premium tiers, this solution is fully open-source and powered by Google Apps Script.

  • Built with Google Apps Script – deploys directly from your spreadsheet, no middleware or hosted environments required
  • Transparent by design – review and modify the script logic to suit your data model and analytics workflow
  • Fast setup – configure your base currency, symbols, and historical range in just a few clicks
  • 100% free – no pricing tiers, no quotas, no feature restrictions

Whether you’re feeding exchange rates into financial models, normalizing currency fields for eCommerce data, or building multi-market dashboards, the OWOX connector lets you automate Open Exchange Rates imports into BigQuery without compromise.

Explore More Free Connectors:
Already using Open Exchange Rates in BigQuery? Expand your workflow with these free, no-code integrations:

Open Exchange Rates → Sheets

Microsoft Ads → BigQuery

Criteo Ads → BigQuery

LinkedIn Ads → BigQuery


No subscriptions. No technical barriers. Just fast, flexible access to all your data.

How the Connector Works

We built the OWOX Open Exchange Rates to BigQuery connector to make currency data integration seamless – no paid tools, no CSVs, and no manual syncing. It’s powered by OWOX Data Marts (Community Apps Script Edition) and runs directly from Google Sheets, sending clean, structured data straight into your BigQuery tables.

Here’s what it does under the hood:

  • Uses native Google Apps Script to operate securely within your Google BigQuery environment.
  • Connects directly to the Open Exchange Rates API using your App ID, with no third-party intermediaries.
  • Lets you set a custom start date and select specific currency symbols for targeted imports.
  • Automatically sends both historical and current exchange rates into BigQuery for scalable storage and SQL-based analysis.
  • Includes optional cleanup settings to manage table size and data retention based on your needs.

With transparent logic and flexible control, this connector delivers accurate exchange rate data into BigQuery, making it ideal for financial modeling, pricing strategy, multi-market dashboards, and more.

Step-by-Step: Import Open Exchange Rates Data into BigQuery  

Streaming currency data into BigQuery is simple with the OWOX connector. In just a few quick steps, you’ll have structured exchange rate data flowing directly into your BigQuery project, ready for analysis, modeling, and reporting.

Step 1: Copy the BigQuery Template ( ~1 min)

To streamline the setup process, use our pre-configured BigQuery template – no need to build from scratch.

  1. Access the Template
  1. Create a Personal Copy
    • Go to File → Make a copy to save it to your Google Drive.

Step 2: Configure the Template ( ~1 min)

Once you’ve copied the Open Exchange Rates BigQuery template, head to the Config tab to configure key import parameters.

  •  Set the Start Date
    • Select the start date for retrieving historical exchange rate data into BigQuery.

Note: A wide date range may result in slower imports, depending on API limits.

Date picker used to set the Start Date for importing Open Exchange Rates in the OWOX BigQuery template. i-shadow
  • Define Symbols
    • Enter the currency symbols you want to track (e.g., EUR, GBP, JPY). You can include multiple symbols, separated by commas.
    •  Note: The base currency is fixed to USD by default. A full list of supported currency symbols and names can be found here.
BigQuery template showing currency symbols being selected from a dropdown list for Open Exchange Rates import. i-shadow
  • Configure the BigQuery destination fields:
    • Destination Dataset ID in the format: projectid.datasetid
    • Destination Location matching your BigQuery region (e.g., US, EU)
    • Note: If the specified dataset doesn't exist, it will be created automatically.
Specifying the destination BigQuery dataset ID for importing Open Exchange Rates in the configuration sheet.  i-shadow i-radius

You may also adjust the following fields in the Config tab:

  • ReimportLookbackWindow: Choose how many past days to include when refreshing data.
  • MaxFetchingDays: Max number of days to fetch per run 
  • CleanUp To Keep Window: Define how many days of data you’d like to retain in your sheet to keep it clean and manageable.

Step 3: Get Your App ID for Open Exchange Rates ( ~1 min)

To start importing data, you first need to generate an App ID from Open Exchange Rates to authorize the connector.

Homepage of Open Exchange Rates showcasing its currency data API and sign-up options. i-shadow
  • Go to the App IDs Section
    •  Navigate to the Integration → App IDs  section from the dashboard.
Open Exchange Rates dashboard with the "App IDs" section highlighted in the left-hand navigation menu. i-shadow
  • Create a New App ID
    • Enter a name for your app and click  Generate New App ID.
Open Exchange Rates App IDs page showing the interface to enter a name and generate a new App ID, with one existing App ID already listed. i-shadow
  • Copy Your App ID
    •  Once generated, copy the App ID, as you’ll use it when setting up the connector in BigQuery.
Open Exchange Rates dashboard showing a list of generated App IDs with copy and delete options next to each ID. i-shadow

Step 4: Enter Your Credentials in the Template ( ~10 seconds) 

Once you’ve generated your App ID, connect it to the BigQuery template.

  • Open the Credentials Menu
    • In your BigQuery Template, go to the top menu → OWOXManage credentials.
Google Sheets menu showing the “Manage credentials” option under the OWOX tab. i-shadow
  • Add Your App ID
    • Paste the App ID you generated from the Open Exchange Rates dashboard into the prompt that appears.
    • Click OK.
Dialog box prompting to paste the Open Exchange Rates App ID. i-shadow i-radius

You’re now ready to start importing exchange rate data into BigQuery.

Step 5: Run the Connector & Import Your Data ( ~1 min)

With your App ID in place, you're ready to fetch live exchange rate data into your spreadsheet.

  • Run the Import
    In your BigQuery template, go to the top menu → OWOX → Import New Data.
Google Sheets menu showing “Import New Data” under the OWOX tab for Open Exchange Rates. i-shadow
  • Wait for Completion
    • Once the log shows "Import is finished", your exchange rate data will then be available in the Data sheet.
Log output confirming that the Open Exchange Rates import is complete. i-shadow
  • The data will be written to the BigQuery dataset you specified earlier.
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📊 Real-Time Reporting with OWOX Reports

Transforming exchange rate data into BigQuery is only the first step. The real value emerges when you visualize that data to spot trends, shifts, and insights instantly.

With the OWOX Reports Extension for Google Sheets, you can instantly pull your Open Exchange Rates data from BigQuery and turn it into dynamic charts and pivot tables – no SQL, no formatting effort.

Use OWOX AutoCharts to:
📊 Visualize currency fluctuations over time
📈 Compare exchange rates across selected currencies
🔍 Spot spikes, drops, and anomalies in historical trends
🔁 Keep your dashboards updated automatically as new data loads

Whether you're managing pricing models, FX reporting, or international cost tracking, AutoCharts brings speed and clarity to your workflow.

What’s Next?

This connector is part of OWOX Data Marts (Community Apps Script Edition) – our open-source collection of tools built for analysts who need speed, transparency, and control.

Explore more resources:
🔗 More free connectors – like Facebook Ads and Twitter Ads to BigQuery, designed for flexible data ownership
🎥 Guided video tutorials – to walk you through setup, configuration, and custom use cases
📊 Ready-made dashboards – to help you visualize BigQuery data faster and with less effort

Explore the full list of tools on our GitHub repo, drop us a ⭐ star, and help shape the future of open analytics with OWOX Connectors.

FAQ

Can I automate the data import process to BigQuery?
Is the data import limited to USD as the base currency?
Where does the data get stored in BigQuery?
How secure is this connector?
Can I customize the connector script?
How many currency symbols can I include in one import?
Will the connector overwrite my existing BigQuery data?

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