HubSpot to BigQuery integration for analytics-ready CRM data
The HubSpot to BigQuery integration from Adapters loads contacts, companies, deals, and engagements from the HubSpot CRM API into partitioned BigQuery tables on an incremental schedule, so pipeline, attribution, and funnel models run on a full history instead of a manual export. Field mapping takes about a minute and no code is required.
Field mapping auto-plugged · tap a port to rewire
Plug a source port into
Transform on this cable
JSON in
JSON out
5 sample records ready
Last updated July 2026
What running HubSpot to BigQuery by hand costs you
- The HubSpot API paginates and enforces per-second and daily limits, so backfilling every contact, company, and deal into BigQuery by hand is slow to script and easy to throttle.
- Deals move stages and properties change after creation, so a naive nightly dump into BigQuery misses the edits that funnel and velocity models depend on.
- Blending HubSpot pipeline with product usage and ad spend for real attribution needs a partitioned warehouse table, not a folder of exported reports.
The field mapping, out of the box
These cables are pre-wired when you pick the pair. Rewire any of them, or add your own, in the same visual data mapping tool you use for every adapter.
Input / HUBSPOT
Output / BIGQUERY
Transforms included
Incremental loads use the hs_lastmodifieddate watermark so stage moves and property edits flow through on the next run; HubSpot object ids become stable keys, amount properties cast to BigQuery NUMERIC, epoch-millisecond timestamps become TIMESTAMP in UTC, tables partition by modified date, and writes MERGE on the object id so pipeline and attribution models read one deduplicated history.
How it goes live
Three steps, minutes end to end, covered by flat data integration pricing from $49 a month.
STEP 01
Pick the pair
Connect HubSpot and BigQuery with scoped credentials. About a minute each.
STEP 02
Confirm the mapping
The cables above are pre-wired. Adjust any field, preview the transform on sample records, done.
STEP 03
Schedule the sync
Hourly down to every minute, with retries, alerting, and a full log on every run.
HubSpot to BigQuery sync: common questions
How does the HubSpot to BigQuery sync work?
The HubSpot to BigQuery integration from Adapters loads contacts, companies, deals, and engagements from the HubSpot CRM API into partitioned BigQuery tables on an incremental schedule, so pipeline, attribution, and funnel models run on a full history instead of a manual export. Field mapping takes about a minute and no code is required.
How much does the HubSpot BigQuery integration cost?
Pricing is flat and monthly: Starter at $49, Growth at $149, Scale at $399. Every plan includes this pair, visual field mapping, and per-record logs. There are no per-task or per-row fees, so the bill stays the same as volume grows.
How often can Adapters sync HubSpot to BigQuery?
Hourly on Starter, every 5 minutes on Growth, and down to every minute on Scale. Failed records retry automatically with backoff, and alerting plus a full per-record log come standard on every run.
Do I need to write code to connect HubSpot and BigQuery?
No. Fields are auto-mapped the moment you pick the pair, and you can rewire any mapping visually before the first sync. Incremental loads use the hs_lastmodifieddate watermark so stage moves and property edits flow through on the next run; HubSpot object ids become stable keys, amount properties cast to BigQuery NUMERIC, epoch-millisecond timestamps become TIMESTAMP in UTC, tables partition by modified date, and writes MERGE on the object id so pipeline and attribution models read one deduplicated history.
More pairs from the API connector library
Browse the full api connector library, or request a pair you do not see.
HubSpot and BigQuery, finally in agreement
Map the pair once and let it sync on schedule. Flat price from $49 a month, no per-task fees.
No credit card required.