Taboola connector
Set up the Taboola connector in Kaivo: authentication, configuration, the 7 BigQuery tables it syncs, and answers to common questions.
Written By Lauri Raivio
Last updated 15 days ago
Kaivo is a fully managed data platform that syncs your Taboola data into a Google BigQuery warehouse and keeps it up to date automatically. There is no pipeline to build and no infrastructure to run, so you can spend your time analysing your marketing and sales data instead of moving it.
What is the Taboola connector
Sync your Taboola campaign data into BigQuery with Kaivo to track native ad spend and performance alongside your other channels.
Getting started with the Taboola connector
- Sign up for Kaivo and create a workspace.
- Connect your Taboola account.
- Choose which tables to sync.
- Wait for the initial sync to finish.
- Query your data in BigQuery or your favourite AI or BI tool.
Authenticating Taboola
Authenticate with your Taboola credentials. You provide:
Prerequisites
Taboola requires you to obtain API credentials by contacting Taboola support. They will provide you with a Client ID, Client Secret, and Account ID.
Need help? Reach our team via the chat in the bottom-right corner.
Configuring the Taboola connector
When you set up the connector, you provide:
Tables and columns synced from Taboola
Kaivo syncs 7 tables from Taboola into a dedicated dataset in your BigQuery warehouse. Click any table to see its columns and types.
account (13 columns)
account (13 columns)
Subtable: account__partner_types
Subtable: account__campaign_types
audience_rules (17 columns)
audience_rules (17 columns)
Subtable: audience_rules__condition__children
audiences (10 columns)
audiences (10 columns)
campaign_items (15 columns)
campaign_items (15 columns)
campaigns (66 columns)
campaigns (66 columns)
Subtable: campaigns__os_targeting__value
Subtable: campaigns__city_targeting__value
Subtable: campaigns__conversion_rules__rules
Subtable: campaigns__activity_schedule__rules
Subtable: campaigns__browser_targeting__value
Subtable: campaigns__country_targeting__value
Subtable: campaigns__platform_targeting__value
Subtable: campaigns__segments_targeting__age__value
Subtable: campaigns__segments_targeting__gender__value
Subtable: campaigns__publisher_targeting__value
Subtable: campaigns__contextual_targeting__value
Subtable: campaigns__performance_rule_ids
Subtable: campaigns__day_time_bid_modifier__values
Subtable: campaigns__dma_country_targeting__value
Subtable: campaigns__external_brand_safety__values
Subtable: campaigns__platform_bid_modifier__values
Subtable: campaigns__sub_country_targeting__value
Subtable: campaigns__publisher_bid_modifier__values
Subtable: campaigns__auto_publisher_targeting__value
Subtable: campaigns__region_country_targeting__value
Subtable: campaigns__connection_type_targeting__value
Subtable: campaigns__publisher_platform_bid_modifier__values
Subtable: campaigns__publisher_bid_strategy_modifiers__values
conversion_rules (20 columns)
conversion_rules (20 columns)
Subtable: conversion_rules__effects
Subtable: conversion_rules__condition__children
motion_ads (19 columns)
motion_ads (19 columns)
How the Taboola sync works
After the first load, Kaivo keeps your BigQuery warehouse up to date for you. Where Taboola supports it, each sync pulls only new and changed records so it stays fast; otherwise it refreshes the whole table. Every record keeps its original ID, so you won't get duplicate rows.
Frequently asked questions
How long does the initial sync take for Taboola?
It depends on how much history is in your Taboola account. Most initial syncs finish within minutes, while large accounts can take a few hours. After that, syncs only fetch new and changed records, so they're much faster.
Can I sync only some tables or columns?
Yes. You pick which tables to sync when you set up the connection and can change the selection later. Tables you don't select are never copied to your warehouse.
What happens when Taboola's schema changes?
New fields are never added automatically. You choose which fields to sync, so data you haven't selected (sensitive personal data, for example) never lands in your warehouse. When a new field appears, it becomes available for you to add. What happens to removed or renamed fields depends on a table's sync mode: full-refresh tables always match what's currently in Taboola, so dropped fields disappear, while incremental tables keep their existing columns and history, so an old field stays and newly added fields fill in over time.
How do I handle GDPR or data deletion requests?
Your data lives in your own Kaivo-managed BigQuery warehouse, so the most direct option is to delete or anonymise specific records right in BigQuery. If you delete data in Taboola instead, full-refresh tables drop it on the next sync, while incremental tables keep it, so you would remove the row in BigQuery or ask us to run a full refresh. To remove everything, delete the Taboola connector in Kaivo and all of its synced data is deleted with it.
Common use cases for Taboola data
Cross-channel reporting
Combine Taboola spend with your other ad platforms to compare cost and results.
Campaign performance
Use campaigns and campaign_items to track impressions, clicks, and conversions.
Audience analysis
Join audiences and audience_rules to see which audiences perform best.
Conversion tracking
Use conversion_rules to measure which campaigns drive results.
Use Taboola data in your AI and BI tools
Once Taboola data lands in your Kaivo-managed BigQuery warehouse, you can explore it with AI tools or any BI tool that connects to BigQuery. Here's how the most common destinations work with Taboola data.
Claude
Use Kaivo's MCP server to give Claude secure, workspace-scoped access to your data. Setup guide →
Power BI
Microsoft's BI tool with a native BigQuery connector. Supports direct query and scheduled refresh. Setup guide →
Data Studio
Free Google BI tool with native BigQuery support. One-click connection to your Kaivo warehouse; great for SMB teams on Google Workspace. Setup guide →
Tableau
The premium analytics standard, with native BigQuery integration. Setup guide →
Google Sheets
Use Connected Sheets to query BigQuery directly from a spreadsheet, with no SQL. Setup guide →
Excel
Connect via Power Query's BigQuery connector. Setup guide →
Metabase
Open-source BI tool with strong BigQuery support. Setup guide →
See our pricing page for Taboola connector pricing and plan details.
Related connectors
- Google Ads: Sync Google Ads to BigQuery.
- Custobar: Sync Custobar to BigQuery.
- Google Search Console: Sync Google Search Console to BigQuery.
- HubSpot: Sync HubSpot to BigQuery.
- Adform: Sync Adform to BigQuery.
- Amplitude: Sync Amplitude to BigQuery.
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