HubSpot Marketing Hub to Google BigQuery

Automatically Export & Sync HubSpot Marketing Hub Data to Google BigQuery

HubSpot Marketing Hub
a black arrow pointing to the right
Google BigQuery
Full data sets
No instructions needed
No code
No complicated flow charts
No triggers
Set up in under 3 minutes
Flat pricing starting at $19 /month

Data sets

Companies+Details
Companies+Details-RecentlyModified
Companies-Basic
Company Properties
Contacts+Details
Contacts+Details by List
Filterable
Contacts-Basic
ContactLists
Contact Properties
CRMPipelines-Deals
CRMPipelines-Tickets
Deals+Details-All
Deals-RecentlyModified
Deals-RecentlyCreated
Deals-Basic-All
Deal Properties
Engagements-All
Engagements-Recent
Owners
Calendar-AllEvents-Last500
Date Rangable
Calendar-ContentEvents-All
Calendar-ContentEvents-Last X days
Date Rangable
Forms-All
Forms-All+Submissions-All
Pre-blended combo set SUBMISSIONS
Submissions by Form
Enriched by FORMS-AND-FORM-FIELDS
Filterable
Forms+FormFields
Pre-blended combo set FIELDS
MarketingEmails
MarketingEmails-EmailStats

Built for Synchronization

This service is designed to help anyone continuously export (i.e. "sync") data from HubSpot Marketing Hub.

If you only need to export your data one time, check the website of HubSpot Marketing Hub to see if their service offers a one-time export feature natively. Sometimes a Data Source's native export feature may provide not as much data as its API does, in which case Flatly is the solution.

Additional Information

Flatly uses official API channels to provide an integration with HubSpot Marketing Hub.
HubSpot is an all-in-one marketing software used by marketers, designers, and developers across the world.
Scopes

Flatly's access to Plaid and Plaid's downstream connected financial institutions is read-only access to text. It is limited to account data (words, numbers, dates). It does not include any money-movement, transfer capabilities or account holder profiles/identities.

Plaid alone interfaces directly with financial institutions, caches data from those institutions on Plaid infrastructure, and then makes the appropriate scoped subset of that data available to partners like Flatly using secure connections called client libraries.

Looker reads tables from Google BigQuery.

File Formats

NDJSON

Integration Flow

Setup

Step 1

Select HubSpot Marketing Hub from the Data Source dropdown and Google BigQuery from the Data Destination dropdown.

Step 2

Authorize HubSpot Marketing Hub with your credentials using the OAuth flow.

Step 3

Authorize Google BigQuery with your credentials using the Service Account flow.

Step 4

Select your Data Set from the 28 Data Sets available using the dropdown.

Step 5

Click Flatten to sync your data.

Walkthrough Video

Extended Data Sources

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