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Learn more about syncing Taboola data

Documentation

Detailed documentation on how to start syncing Taboola data.

Taboola Documentation

Manual Instructions

How to extract data from Taboola and load it to Amazon Redshift manually.

Taboola to Amazon Redshift Manually

Jumpstart your Taboola analytics with reusable blocks

dbt packages can speed up your work

Once you replicate your Taboola data with Stitch, you can use it in many ways. For example, you can use the data modeling and transformation tool dbt to prepare data for reporting, analytics, or machine learning applications.

Dbt has prebuilt packages for many Stitch data sources, including Taboola. Here’s a look at code for modeling Taboola data. This particular block of code gives you quick Taboola parsing for analyzing your campaigns.

View the source on GitHub →
                          
                            with base as (
    select
        id,
        name,
        to_date(start_date, 'yyyy-mm-dd') as start_date,
        nullif(end_date, '9999-12-31') as end_date,
        is_active,
        lower(status) as status,
        spent as spend,
        nullif(tracking_code, 'None') as tracking_code
    from {{var('campaigns_table')}}
),
splits as (
    select
        id,
        name,
        start_date,
        end_date,
        is_active,
        status,
        spend,
        {{ dbt_utils.get_url_parameter('tracking_code', 'utm_source') }} as utm_source,
        {{ dbt_utils.get_url_parameter('tracking_code', 'utm_medium') }} as utm_medium,
        {{ dbt_utils.get_url_parameter('tracking_code', 'utm_campaign') }} as utm_campaign,
        {{ dbt_utils.get_url_parameter('tracking_code', 'utm_content') }} as utm_content,
        {{ dbt_utils.get_url_parameter('tracking_code', 'utm_term') }} as utm_term
    from base
)
select * from splits
                          
                        

Simplify your Amazon Redshift migration

When it comes to replicating your data to Amazon Redshift, conventional ETL is no longer the only game in town.

Writing ETL code requires big investments of time, money, and expertise that might otherwise be used for innovation. Most importantly, newer approaches to data ingestion deliver faster implementation than traditional ETL, so you can produce data analytics and business intelligence more quickly.

This is where Stitch can help.

All your data, where you need it

Give your analysts, data scientists, and other team members the freedom to use the analytics tools of their choice.

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Asset analysis tools
Analyzing our data in SQL has unlocked business analytics at Vero. We can customize and collaborate on our analyses, join across data sources, and produce reports that actually get used. Stitch makes all that possible by loading our data into Amazon Redshift.

Chris Hexton

Co-Founder, Vero

Why our customers choose Stitch

Stitch is a simple, powerful ETL service built for developers. Stitch connects to your first-party data sources – from databases like MongoDB and MySQL, to SaaS tools like Salesforce and Zendesk – and replicates that data to your warehouse. With Stitch, developers can provision data for their internal users in minutes, not weeks.

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