Sync HubSpot contacts to Postgres — automatically.
Every contact, company, deal, and lifecycle stage — live in your database. No CSV exports. No Fivetran. No scripts.
Estimated setup: ~3 minutes
Your CRM data is locked inside HubSpot.
HubSpot is built for sales reps, not analysts. You cannot join contact data with product usage. You cannot run custom cohort queries across lifecycle stages. You cannot power a data warehouse without building a pipeline first.
So you export CSVs. Or you pay for Fivetran. Or you spend a week fighting the HubSpot API’s cursor pagination, association endpoints, and rate limits.
Downloading CSVs from HubSpot that are stale before you open them. By the time you clean the data, your reps have already updated half the records.
HubSpot’s API uses cursor-based pagination, nested association objects, and strict rate limits. Building a reliable sync takes weeks of engineering time.
Weekly exports mean your warehouse is always behind. Lifecycle stage changes, deal updates, and new contacts are invisible until the next batch.
You need your CRM data in Postgres — live, normalized, and queryable.
Every HubSpot object, one pipeline away.
- contacts
- companies
- deals
- activities
- normalize
- dedupe
- transform
- schedule
- contacts
- companies
- deals
- activities
Your HubSpot data, queryable in Postgres.
| id | company | stage | last_synced | |
|---|---|---|---|---|
| 1 | j.chen@acme.io | Acme Inc | SQL | 2 min ago |
| 2 | s.patel@betaco.com | Beta Co | MQL | 2 min ago |
| 3 | m.garcia@gamma.io | Gamma Ltd | Customer | 2 min ago |
| 4 | a.kim@delta.dev | Delta Inc | Lead | 2 min ago |
| 5 | r.jones@epsilon.co | Epsilon Corp | SQL | 2 min ago |
hubspot_sync=# Sample query
GROUP BY stage ORDER BY count DESC;
Three steps. Five minutes. Zero maintenance.
Connect HubSpot and Postgres
Add your HubSpot API key and Postgres connection string in camelAI’s integrations panel. OAuth for HubSpot, standard connection string for Postgres.
Describe what you want synced
Tell the agent:
camelAI builds and deploys the pipeline
The agent reads your HubSpot schema, creates normalized Postgres tables, handles pagination and rate limits, sets up a cron schedule, and deploys. Your data starts flowing immediately.
// Fetches, normalizes, upserts...
...
}
Your CRM schema, normalized and ready.
- id
- first_name
- last_name
- lifecycle_stage
- owner
- created_at
- hubspot_id
- id
- name
- domain
- industry
- size
- owner
- created_at
- hubspot_id
- id
- name
- stage
- amount
- close_date
- pipeline
- owner
- hubspot_id
- id
- type
- contact_id
- deal_id
- timestamp
- body
- hubspot_id
You choose the objects and fields. camelAI handles the rest — associations, custom properties, and incremental sync logic.
Skip the ETL tax.
| camelAI | Fivetran | Custom scripts | |
|---|---|---|---|
| Setup time | Minutes | Hours | Weeks |
| Monthly cost | Free tier | $300–1,000+/mo | $0 + eng time |
| Customization | Full — describe in English | Connector config only | Full but manual |
| Maintenance | Zero — AI handles it | Managed | You maintain it |
| Schema control | You choose tables and columns | Predefined schema | Full but manual |
| Incremental sync | Built-in | Built-in | You build it |
| Hosting | Cloudflare Workers | Fivetran cloud | Your infrastructure |
Built for the people who own the data.
You need CRM data in your warehouse but do not want to spend a sprint building and maintaining another API integration. You want a pipeline that handles pagination, rate limits, and schema changes so you can focus on modeling.
You need contact and deal data outside HubSpot for custom reporting, territory analysis, or lead scoring models. You want a live replica you can query without hitting API limits.
You want to join CRM lifecycle stages with product usage data to understand which leads convert and why. You need the data in a database where you can write real queries, not HubSpot’s report builder.
Questions about HubSpot-to-Postgres sync.
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Your CRM data belongs in your database.
Connect HubSpot. Describe your schema. Start syncing.