No-code pipeline · Facebook → BigQuery

Send data from Facebook to BigQuery

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From Facebook to BigQuery: managed, scheduled, no code.

Creating a pipeline that sends data from Facebook to BigQuery data warehouses takes only a few minutes with Kondado. And the whole integration from Facebook to BigQuery is managed and executed by our platform. With Kondado, you can focus on extracting value from Facebook data and combining it with other data in your BigQuery data warehouse

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Send Facebook Data to BigQuery

Connecting Facebook to BigQuery is straightforward with Kondado. Simply authenticate your Meta ad account and configure your destination to start replicating campaign metrics, lead forms, and engagement data directly into Google’s data warehouse. The platform offers 14 different pipelines covering everything from ad performance and costs to detailed page and post analytics, all without requiring code or technical expertise.

Kondado automatically replicates Facebook data to BigQuery on a configurable schedule, enabling traffic managers and data analysts to centralize campaign, ad, and lead metrics in a single destination for advanced analytics.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

With the Campaign Performance and Ad Set Performance pipelines available in Kondado, your operations team can analyze costs, impressions, and clicks directly in BigQuery to optimize marketing investments. Lead Forms data allows sales leaders to track prospect qualification automatically, while Page and Post metrics help marketing managers measure organic engagement alongside paid results, creating a complete view of digital presence with updates on your chosen schedule.

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Replicated to BigQuery

Facebook data available for BigQuery

Tables Kondado writes into your BigQuery, on a schedule you control.

available pipelines

1569

extractable fields

BigQuery

Destination

Available integrations

Ad account performance

Performance analysis includes fields such as total spend, account status, and account age.

Ad accounts

Information on ad accounts, including name, account ID, and currency used.

Ad metadata

Details of ads, such as ad ID, account ID, and ad set name.

Ad performance

Performance metrics include impressions, clicks, cost, and click-through rate (CTR).

Ad preview

Preview of ads based on metadata and creative settings.

Ad set performance

Analysis of ad set performance, including impressions, clicks, and cost.

Adset metadata

Information about the ad set, such as ID and ad set name.

Campaign metadata

Campaign data, including campaign ID and name.

Campaign performance

Campaign performance metrics, such as impressions, clicks, and total cost.

Lead forms

Data on lead forms, including form ID and status.

Page Metrics

Analyze impressions, reach, and engagement, including metrics such as likes, comments, and shares.

Page: Posts

Examine post performance, with data on impressions, clicks, and engagement per post.

Pages

View general information about pages, including name, ID, and engagement data.

Post Metrics

Evaluate detailed post metrics, such as reach, clicks, and cost per engagement.

See all available data → Send Facebook to BigQuery →

Try out all the features for free for 14 days

How to send Facebook data to BigQuery

Sync data automatically — no code, no manual exports.

Connect Facebook account

Authenticate your Meta ad account in Kondado selecting the necessary permissions to access campaigns, ads, and lead data.

Configure BigQuery destination

Set up your BigQuery project as the destination, specifying the dataset where Facebook data will be stored and organized.

Select pipelines and schedule

Choose which of the 14 pipelines to replicate, such as Campaign Performance or Lead Forms, and configure your desired update frequency to keep data current.

Try out all the features for free for 14 days

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Send data from Facebook to other destinations

Facebook > Looker Studio

Facebook > Power BI

Other visualizations

Facebook > Amazon S3

Facebook > BigQuery

Facebook > Excel

Facebook > Google Sheets

Facebook > MySQL

Facebook > PostgreSQL

Facebook > Redshift

Facebook > SQL Server

Choose a tool to visualize your Facebook data

If the software you need is not listed, drop us a messagem. You can use almost every tool

Facebook > Airtable

Facebook > Alteryx

Facebook > Amazon Quicksight

Facebook > BIMachine

Facebook > Cortex

Facebook > Data Studio

Facebook > Geckoboard

Facebook > Grafana

Facebook > IBM Cognos Analytics

Facebook > Klipfolio

Facebook > Looker Studio

Facebook > Looker

Facebook > Looqbox

Facebook > Metabase

Facebook > Microstrategy

Facebook > Pentaho

Facebook > Power BI

Facebook > Qlik Cloud Analytics

Facebook > Qlik Sense

Facebook > Qlik

Facebook > QlikView

Facebook > Redash

Facebook > Superset

Facebook > Tableau

Facebook > BI TOTVS

Facebook > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending Facebook data to BigQuery automatically

How does Facebook to BigQuery replication work in Kondado? ▼

Kondado connects to Meta APIs and replicates your selected data to BigQuery on a configurable schedule you define, whether every 5 minutes, 15 minutes, hourly, or daily. The process is automated after initial setup, keeping your data updated without manual intervention.

What specific Facebook data can I replicate to BigQuery? ▼

You can choose from 14 different pipelines including Campaign Performance, Ad Performance, Ad Set Metadata, Lead Forms, Page Metrics, and Post Metrics. Each pipeline contains specific fields such as impressions, clicks, costs, reach, and engagement data ready for analysis.

How frequently is Facebook data updated in BigQuery? ▼

The update frequency is fully configurable based on your needs, occurring every 5 minutes, 15 minutes, hourly, or daily. This ensures your reports and analyses reflect the most recent campaign performance without manual data pulls.

Do the data arrive structured in BigQuery? ▼

Yes, data is replicated in structured format directly into BigQuery, ready for SQL queries and dashboard creation. You can combine this data with other sources like Google Sheets or PostgreSQL for comprehensive analytics.

Are there pre-built dashboards available for Facebook BigQuery data? ▼

Yes, Kondado offers ready-made report templates compatible with your replicated data, including reports for Looker Studio and Power BI. These templates allow you to visualize Meta Ads and Google Ads metrics immediately without building dashboards from scratch.

Can I combine Facebook data with other sources in BigQuery? ▼

Absolutely. BigQuery serves as a centralized data warehouse where you can join Facebook data with CRM, e-commerce, or other advertising platform information. This enables holistic customer journey analysis and conversion attribution across touchpoints.

Do I need technical knowledge to set up the Facebook BigQuery connection? ▼

No coding or advanced API knowledge is required. Kondado's interface guides you through connecting your Facebook account and configuring the BigQuery destination in minutes, allowing traffic managers to set up data replication independently.

Try out all the features for free for 14 days

Related on Kondado

Try out all the features for free for 14 days