Running Facebook Ads is one thing. Reporting on them at scale? Reporting on them at scale with a Facebook to BigQuery solution? That’s a whole different beast.
Exporting Facebook ad data into BigQuery often means costly ETL tools, complex pipelines, or constant engineering help - barriers that slow down insights.
Analysts deserve straightforward control over their own ad performance data, without needing a full tech stack.
That’s why we built this free, no-code Facebook Ads → BigQuery connector a part of the OWOX Data Marts (Community Apps Script Edition). It lets you load, refresh, and manage Facebook Ads data directly into BigQuery, with full transparency and zero vendor lock-in.
No limits, no black boxes. Just your Facebook Ads data to BigQuery, exactly where you need it.
Why We Made This Free Connector
Most Facebook Ads connectors are either expensive, limited in what they pull, or completely opaque in how they work. We wanted to flip that model on its head.
We believe analysts and marketers should own their data workflows, not rent them from third-party vendors.
So we built this open-source connector to give you:
Full access to all Facebook Ads API fields
Full control over how your data is extracted and loaded
A cost-free alternative to proprietary, paywalled solutions
This Facebook Ads to BigQuery connector is our first step toward a more open, self-owned future in marketing analytics.
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 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.
When it comes to running scalable marketing analytics, BigQuery is hard to beat. But getting raw Facebook Ads data into it? That’s where most teams hit a wall.
❌ Complex pipelines that require engineering help ❌ Limited access to raw data for modeling or enrichment ❌ Expensive tools that gate key metrics or APIs
That’s exactly why we built this connector for Facebook ads to Google BigQuery – to unlock a better way.
✅ With BigQuery, you can structure and storeFacebook Ads data at scale. ✅ You can blend it with Google Analytics, CRM, and cost data to build unified attribution models. ✅ You can automate daily updates and query performance across all channels using SQL.
This connector gives you the raw access, flexibility, and power needed to run marketing analytics your way – and at your scale.
And you don’t need to pay a cent or write a single line of backend code to get started.
Why OWOX’s Facebook Ads to BigQuery Connector Beats Other Tools
There’s no shortage of tools that push Facebook Ads data into BigQuery. Still, many come at a cost: restrictive pricing models, rigid pipelines, and limited visibility into what’s happening under the hood.
The OWOX connector was built to eliminate those problems:
100% free and open-source — no usage fees, hidden limits, or tiered pricing.
Direct Facebook Ads → BigQuery flow — skips CSVs, third-party dashboards, or middlemen.
Full API coverage — extract any metrics, breakdowns, or dimensions available in Meta’s Ads API.
Own your schema — customize how data is structured, cleaned, and loaded inside BigQuery.
Complete transparency — view, edit, or extend every part of the pipeline using Apps Script.
You don’t have to settle for a black-box ETL or worry about how much data will cost this month.
If you want total control over how Facebook Ads data lands in your BigQuery project, with zero vendor lock-in, the OWOX connector is built for you.
How the Connector Works
We designed this connector to work out of the box for data analysts, marketers, and technical teams, as part of the OWOX Data Marts (Community Apps Script Edition), with no middleware or ETL platforms required.
Here’s what’s under the hood:
It’s an open-source tool based on Google Apps Script that runs inside Google Sheets, where you set parameters and start your load.
The script pulls raw data from the Facebook Marketing API – including all available metrics, dimensions, breakdowns, and filters.
And yes – it’s 100% free and open, with no usage limits.
You can use it to:
Replace pricey ETL tools with a solution you wholly own, built on OWOX Data Marts (Community Apps Script Edition)
Schedule regular imports to keep your BigQuery tables fresh
Power Looker Studio dashboards and advanced models using clean, structured ad data
It’s the simplest, fastest way to start running Facebook Ads analysis in BigQuery – no waiting, no black boxes.
💡Check out this video for a step-by-step guide on connecting Facebook Ads to BigQuery using OWOX’s free template. It’s a quick and easy way to see the setup in action.
Step-by-Step: Import Facebook Ads Data to BigQuery with the Community Apps Script Edition
This is where the magic happens. In just a few minutes, you’ll have your Facebook Ads data flowing into BigQuery — no coding, no roadblocks, just results. Let’s walk through each step.
Step 1: Copy the Google Sheets Template ( ~1 min)
To streamline the setup process for your Facebook to BigQuery reporting, use our pre-configured BigQuery template – no need to build from scratch.
Meta will review your submission within 2 business days.
Set Up Marketing API
After successful verification, return to your app dashboard.
Locate the Marketing API card and click Set Up
Grant Required Permissions
In the Tools section, enable the following scopes:
ads_read
Read_insights
Generate and Save Token
Click Get Token
Copy the generated access token and store it securely. To regenerate, go to Marketing API → Tools → User Token section.
Once your token is ready, proceed to the next step to connect it to the Google Sheets template.
Step 4: Input Access Token into the Template ( ~10 seconds)
Now it’s time to link your access token to the template.
Open the Credentials Menu
Go to the spreadsheet’s top menu → OWOX → Manage credentials
Add Your Token
Paste the token you generated.
Click OK to save.
Step 5: Import Data into BigQuery (~1 min)
Everything’s set – now launch your import.
Start the Import
From the menu, click OWOX → Import New Data.
Monitor the Logs
The Logs sheet will show “Import is finished” once complete.
Check Your Data
Data will appear directly in BigQuery under the dataset you specified.
Step-by-Step: Import Facebook Ads Data to BigQuery with the OWOX Community Edition
Set up a fully self-managed, SaaS-free pipeline to import Facebook Ads data directly into BigQuery using the OWOX Community Edition and a local server.
Step 1: Install Node.js and OWOX CLI ( ~2 min)
To run OWOX Data Mart locally, you’ll need to install Node.js and the OWOX CLI. This setup allows you to start a local server and work with the Community Edition effectively.
To get started, install the LTS version of Node.js from nodejs.org and use a version manager like nvm or nvm-windows to avoid permission issues. Once Node.js is set up, you can install the OWOX CLI globally and run ‘owox serve’ to launch the local server.
Click the Hamburger Menu in the top-left corner of Google Cloud Console to open the navigation panel. From there, go to Cloud Overview and then proceed to Welcome → BigQuery.
Click the table that was created.
Use the 'Preview' tab or run SQL queries to inspect your data.
Step 6: Schedule Automated Imports ( ~1 min)
Set up a trigger to pull data on a recurring schedule.
Go to the 'Triggers' tab.
Click 'Add Trigger'.
Choose the Trigger Type as Connector Run and the Schedule Settings: Daily / Weekly / Monthly / Interval.
Set the Time (hour, minute, or second), days of the week, and choose your time zone.
Click 'Create Trigger'. Your data will now refresh automatically.
The trigger is now active and scheduled to run automatically on the defined days and at the defined time.
📊 Real-Time Reporting with OWOX Reports
Want to take your BigQuery data to the next level?
With OWOX Reports, you can: 📥 Pull data directly from BigQuery into Google Sheets 📊 Build shareable, refreshable dashboards without Looker Studio ✅ Empower your team with real-time access to ad performance metrics
No code, no queries, no delays. Just actionable reports – when and where you need them.
What’s Next?
This free connector is part of our effort to simplify and open up access to reliable, self-managed marketing data pipelines.
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