Trustpilot connector

Set up the Trustpilot connector in Kaivo: authentication, configuration, the 3 BigQuery tables it syncs, and answers to common questions.

Written By Lauri Raivio

Last updated 16 days ago

Kaivo is a fully managed data platform that syncs your Trustpilot 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 customer support data instead of moving it.

What is the Trustpilot connector

Sync your Trustpilot review data into BigQuery with Kaivo to analyse customer reviews and ratings over time.

Category	Customer Service
Authentication	API key
Setup	Self-service

Getting started with the Trustpilot connector

Sign up for Kaivo and create a workspace.
Connect your Trustpilot 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 Trustpilot

Authenticate with your API key.

Field	Description
API key	The API key of your Trustpilot application.

Configuring the Trustpilot connector

When you set up the connector, you provide:

Field	Description
Start Date	Any data before this date will not be fetched.
Business Unit names	Domain names of the business units to synchronize (e.g. mydomain.com). Used by streams such as configured_business_units and private_reviews.

Tables and columns synced from Trustpilot

Kaivo syncs 3 tables from Trustpilot into a dedicated dataset in your BigQuery warehouse. Click any table to see its columns and types.

business_units (18 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`id`	`STRING`
`display_name`	`STRING`
`name__identifying`	`STRING`
`website_url`	`STRING`
`country`	`STRING`
`number_of_reviews__total`	`INT64`
`number_of_reviews__used_for_trust_score_calculation`	`INT64`
`number_of_reviews__one_star`	`INT64`
`number_of_reviews__two_stars`	`INT64`
`number_of_reviews__three_stars`	`INT64`
`number_of_reviews__four_stars`	`INT64`
`number_of_reviews__five_stars`	`INT64`
`status`	`STRING`
`score__trust_score`	`FLOAT64`
`score__stars`	`FLOAT64`
`bad_fit`	`BOOL`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: business_unitsnamereferring

Column	Type	Description
`_kaivo_parent_id`	`STRING`	Foreign key referencing _kaivo_id in the parent table. Auto-generated by Kaivo.
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`value`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

configured_business_units (18 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`id`	`STRING`
`display_name`	`STRING`
`name__identifying`	`STRING`
`website_url`	`STRING`
`country`	`STRING`
`number_of_reviews__total`	`INT64`
`number_of_reviews__used_for_trust_score_calculation`	`INT64`
`number_of_reviews__one_star`	`INT64`
`number_of_reviews__two_stars`	`INT64`
`number_of_reviews__three_stars`	`INT64`
`number_of_reviews__four_stars`	`INT64`
`number_of_reviews__five_stars`	`INT64`
`status`	`STRING`
`score__trust_score`	`FLOAT64`
`score__stars`	`FLOAT64`
`bad_fit`	`BOOL`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: configured_business_unitsnamereferring

Column	Type	Description
`_kaivo_parent_id`	`STRING`	Foreign key referencing _kaivo_id in the parent table. Auto-generated by Kaivo.
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`value`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

private_reviews (39 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`id`	`STRING`
`consumer__id`	`STRING`
`consumer__display_name`	`STRING`
`consumer__display_location`	`STRING`
`consumer__number_of_reviews`	`INT64`
`business_unit__id`	`STRING`
`business_unit__identifying_name`	`STRING`
`business_unit__display_name`	`STRING`
`stars`	`INT64`
`title`	`STRING`
`text`	`STRING`
`language`	`STRING`
`location__external_id`	`STRING`
`location__url_formatted_name`	`STRING`
`location__id`	`STRING`
`location__name`	`STRING`
`created_at`	`TIMESTAMP`
`updated_at`	`TIMESTAMP`
`experienced_at`	`TIMESTAMP`
`referral_email`	`STRING`
`reference_id`	`STRING`
`source`	`STRING`
`company_reply__created_at`	`TIMESTAMP`
`company_reply__updated_at`	`TIMESTAMP`
`company_reply__text`	`STRING`
`company_reply__author_business_user_id`	`STRING`
`find_reviewer__is_eligible`	`BOOL`
`is_verified`	`BOOL`
`number_of_likes`	`INT64`
`status`	`STRING`
`report_data__source`	`STRING`
`report_data__public_comment`	`STRING`
`report_data__created_at`	`TIMESTAMP`
`counts_towards_trust_score`	`BOOL`
`counts_towards_location_trust_score`	`BOOL`
`invitation__business_unit_id`	`STRING`
`review_verification_level`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: private_reviews__tags

Column	Type	Description
`_kaivo_parent_id`	`STRING`	Foreign key referencing _kaivo_id in the parent table. Auto-generated by Kaivo.
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`group`	`STRING`
`value`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: private_reviews__find_reviewer__requests

Column	Type	Description
`_kaivo_parent_id`	`STRING`	Foreign key referencing _kaivo_id in the parent table. Auto-generated by Kaivo.
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`status`	`STRING`
`consumer_response__reference_id`	`STRING`
`consumer_response__name`	`STRING`
`consumer_response__submitted_at`	`TIMESTAMP`
`consumer_response__phone_number`	`STRING`
`consumer_response__address`	`STRING`
`consumer_response__message`	`STRING`
`consumer_response__email`	`STRING`
`business_user_message`	`STRING`
`id`	`STRING`
`created`	`TIMESTAMP`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: private_reviews__report_data__reasons

Column	Type	Description
`_kaivo_parent_id`	`STRING`	Foreign key referencing _kaivo_id in the parent table. Auto-generated by Kaivo.
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`value`	`JSON`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: private_reviews__compliance_labels

Column	Type	Description
`_kaivo_parent_id`	`STRING`	Foreign key referencing _kaivo_id in the parent table. Auto-generated by Kaivo.
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`value`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: private_reviews__business_unit_history

Column	Type	Description
`_kaivo_parent_id`	`STRING`	Foreign key referencing _kaivo_id in the parent table. Auto-generated by Kaivo.
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`identifying_name`	`STRING`
`display_name`	`STRING`
`business_unit_id`	`STRING`
`change_date`	`TIMESTAMP`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

How the Trustpilot sync works

After the first load, Kaivo keeps your BigQuery warehouse up to date for you. Where Trustpilot 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 Trustpilot?

It depends on how much history is in your Trustpilot 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 Trustpilot'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 Trustpilot, 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.

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 Trustpilot 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 Trustpilot connector in Kaivo and all of its synced data is deleted with it.

Common use cases for Trustpilot data

Rating trends

Use private_reviews to track average rating and review volume over time.

Sentiment analysis

Bring review text into BigQuery to analyse common themes in feedback.

Business unit view

Join business_units with reviews to compare ratings across locations or brands.

Support context

Combine reviews with your support data to act on unhappy customers.

Use Trustpilot data in your AI and BI tools

Once Trustpilot 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 Trustpilot 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 Trustpilot connector pricing and plan details.

HubSpot: Sync HubSpot to BigQuery.
Dixa: Sync Dixa to BigQuery.
Freshservice: Sync Freshservice to BigQuery.
Genesys: Sync Genesys to BigQuery.
Gorgias: Sync Gorgias to BigQuery.
giosg: Sync giosg to BigQuery.

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