HubSpot to Amazon S3 integration
Connect HubSpot to Amazon S3 and automatically sync your CRM data. Weld extracts Contacts, Companies, Deals, and Tickets from HubSpot, loads them into Amazon S3, and lets you transform the data using SQL or dbt, no custom scripts required.
- owner9 cols
- user8 cols
- contact244 cols
- company134 cols
- deal87 cols
- line_item54 cols
- Extract
- Load
- Keep in sync
- hubspot.ownerSynced
- hubspot.userSyncing
- hubspot.contactSynced
- hubspot.companySynced
- hubspot.dealSynced
- hubspot.line_itemSynced
- HubSpot tables
- 47
- fields, typed
- 1,306
- relationships kept
- 10
- agent context included
- MCP
Trusted by data and AI teams
How to set up HubSpot to Amazon S3 in Weld.
In the app, with the API or an agent.
Why sync HubSpot to Amazon S3?
Ready for analysis.
Centralizing your HubSpot data in Amazon S3 lets you join it with other data sources for cross-platform analytics and deeper insights.
Build reliable dashboards and reports by querying HubSpot data directly in Amazon S3 using SQL or your preferred BI tool.
Combine HubSpot data with other customer touchpoints to build a unified customer view across sales, marketing, and support.
Sales pipeline analytics
Analyze your full sales funnel, from Contacts, Companies, and Deals, in Amazon S3. Join CRM data with marketing and product data for complete attribution.
Centralized data warehouse
Bring HubSpot data into Amazon S3 alongside other sources to create a single source of truth for your organization.
Automated reporting
Replace manual exports and spreadsheet-based reporting with automated pipelines from HubSpot to Amazon S3. Connect BI tools like Looker, Metabase, or Power BI.
What data can you sync?
Every HubSpot table, keys intact.
Weld syncs the following data objects from HubSpot into Amazon S3. The exact tables and fields depend on your HubSpot configuration and the permissions granted during setup.
- owner
- user
- contact
- company
- deal
- line_item
- product
- engagement
- subscription_change
- company_property_history
- contact_property_history
- deal_property_history
- line_item_property_history
- product_property_history
- subscription
- owner_team
- team_user
- team
- call
- ticket
- marketing_email_v3
- leads
- form
- course
- email_event
- property
- conversation
- list
- pipeline_stage
- engagement_meeting
- and 17 more
Ask your agent.
It queries Amazon S3 for you.
Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the HubSpot context, finds the tables it needs and runs the query in Amazon S3.
How many owner rows do we have per owner? Use our HubSpot data in Amazon S3.
Reading the HubSpot context first, so the query uses the right tables and keys.
Technical considerations.
What to expect.
ELT vs. reverse ETL: HubSpot and Amazon S3
ELT (Extract, Load, Transform) moves data from HubSpot into Amazon S3 for analysis. This is the approach shown on this page, and the one to use for dashboards, reports, and data models.
Reverse ETL works the other direction: it pushes enriched data from Amazon S3 back into HubSpot. For example, you could sync computed lead scores or customer segments from your warehouse into HubSpot to personalize outreach.
Weld supports both directions, so you can build a complete data loop between HubSpot and Amazon S3.
Amazon S3 to HubSpot- Incremental syncing
- Weld uses incremental syncing where supported by the HubSpot API, loading only new and updated records to minimize data transfer and warehouse costs.
- Schema handling
- Weld automatically manages schema changes. If HubSpot adds new fields, they're detected and added to the corresponding Amazon S3 tables.
- Data freshness
- Sync frequency depends on your Weld plan. Most connectors support schedules from every 5 minutes up to daily intervals.
- Security
- All data is encrypted in transit (TLS) and at rest. Weld is SOC 2 Type II compliant and supports IP whitelisting for database connections.
Keep reading.
Guides, docs and schema.
Common questions.
About HubSpot to Amazon S3.
Start syncing HubSpot to Amazon S3.
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