Neotask keeps your Close leads, contacts, and pipeline records flowing into PostgreSQL without ETL scripts or manual exports.
New Close leads trigger immediate INSERT operations into your PostgreSQL tables without any manual steps.
Describe your sync rules in plain language and Neotask handles all database writes, updates, and upserts automatically.
Map any Close field to any PostgreSQL column so your schema matches exactly what your reporting layer needs.
Every new Close lead triggers an INSERT into your PostgreSQL leads table with name, email, and source captured.
Won and lost opportunities write to a deals archive table with value, date, owner, and pipeline stage recorded.
Contact field changes in Close propagate as UPDATE statements to your PostgreSQL contacts table immediately.
Stage movements in Close UPSERT opportunity rows so your database always reflects current pipeline position.
Schedule a nightly bulk UPSERT to reconcile your entire Close pipeline against PostgreSQL in one reliable pass.
Status changes in Close update the lead status column in PostgreSQL for accurate funnel reporting downstream.
Authorize Close CRM and provide your PostgreSQL connection credentials inside Neotask to establish the integration.
Tell Neotask which Close events should write to which PostgreSQL tables and columns using plain-language instructions.
Neotask listens for Close events and executes the correct INSERT, UPDATE, or UPSERT against your database in real time.
| Close Action | PostgreSQL Operation |
|---|---|
| New lead created | INSERT into leads table |
| Opportunity won or lost | INSERT into deals archive |
| Contact updated | UPDATE contacts record |
| Pipeline stage changed | UPSERT opportunity row |
| Scheduled pipeline pull | Bulk UPSERT pipeline snapshot |
| Lead status changed | UPDATE lead status column |
Sales teams generate high volumes of lead and pipeline data inside Close CRM. Getting that data into PostgreSQL for reporting usually means writing ETL scripts, scheduling cron jobs, or exporting CSVs by hand.
Neotask removes that burden. Connect Close and PostgreSQL, describe the sync you need in plain language, and Neotask handles inserts, updates, and upserts automatically.
PostgreSQL is the reporting and analytics backbone for many businesses. When Close data lives only inside Close, your data warehouse, dashboards, and cross-department reports are always stale. Bridge the two and your finance team can query deal values, your ops team can track pipeline velocity, and leadership can see real-time funnel health - all from SQL.
Neotask maps Close events to PostgreSQL operations without any code. New leads trigger INSERTs. Contact updates trigger UPDATEs. Pipeline movements trigger UPSERTs. You define field mappings in plain language and Neotask enforces them on every event.
Scheduled syncs work the same way. Run a bulk UPSERT nightly to catch anything missed during the day, or pull a full pipeline snapshot on demand. Neotask handles the connection, query construction, and error handling so your data team does not have to.
This integration suits any team that runs analytics outside of Close - revenue operations teams building pipeline dashboards, data engineers maintaining a central warehouse, or founders who want direct SQL access to their own sales data.
Neotask makes Close + PostgreSQL sync a plain-language configuration task, not an engineering project. Set it up once and your database stays current without anyone touching it again.
Use UPSERT operations instead of plain INSERTs to avoid duplicate rows when re-running scheduled syncs.
Add a synced_at timestamp column to your PostgreSQL tables so you can audit exactly when each record was last written.
Run a nightly full-pipeline sync alongside real-time event syncs to catch any events missed during the day.
Yes. Neotask connects using the credentials you provide. Your database must be reachable from Neotask's servers, which typically means allowing the Neotask IP range through your firewall or using a connection pooler.
Yes. You can describe reverse flows - for example, when a row is inserted into a PostgreSQL enrichment table, update the matching Close lead with the new field values.
Neotask logs the failure with the specific record and error reason. You can review failed syncs and re-run them without duplicating records that already succeeded.
Yes. Neotask writes to existing tables based on the schema you describe. You define the table structure; Neotask handles the data movement into it.
Real-time event-driven syncs typically complete within seconds of the Close event. Scheduled bulk syncs run at the interval you configure.
Stop exporting CSVs and writing one-off scripts. Let Neotask keep your Close CRM data in sync with PostgreSQL automatically.
$0/mo
Download without a card and start for free.
$50/mo
The full personal agent platform for one person.
$100/mo
One company workspace with room to add your team.
$200/mo
Multiple workspaces and capacity for larger teams.
Explore: Integrations · Skills · Glossary · Solutions · Use cases · Examples · Comparisons · Templates · Blog · Docs