Feature Marketplace · Connectors

Pipedrive Connector

Pipedrive sales CRM. Syncs deals, persons, organizations, and activities via the v1 REST API with webhook support for real-time change notifications.

Connectors connector CRM

What syncs

The Pipedrive records STRAX brings into your hub.

Each kind of record is mapped once to your company model in the STRAX hub, then kept current in every system that needs it. Where Pipedrive announces changes, they arrive as they happen.

Deals

Sales deals including value, pipeline stage, status, and associated person/organization.

Changes arrive as they happen

Persons

People including name, email, phone, and organization association.

Changes arrive as they happen

Organizations

Companies including address, owner, and aggregate deal/people counts.

Changes arrive as they happen

Activities

Tasks and calendar activities linked to deals, persons, and organizations.

Changes arrive as they happen

Pipedrive data in your own SQL Server, then wherever it is needed.

STRAX is a self-hosted integration platform. The Pipedrive records land in the STRAX hub, a SQL Server database on your own servers, where your reports, portals and workflows read them. From there the hub delivers them to the other systems you connect, whether those run on SQL Server, MySQL, PostgreSQL or another API. STRAX signs in to Pipedrive with an API key that you provide, stored encrypted.

About this listing

Version1.0.1
AuthorSTRAX
CategoryConnectors
Published2026-07-15

What's inside

Connector profile 1

Free listing

Install it from Feature Marketplace inside STRAX

Open Feature Marketplace

In your STRAX installation, open Feature Marketplace from the navigation.

Find "Pipedrive Connector"

Search or browse to this listing and review the contents disclosure; every package shows what it contains before anything runs.

Install

Choose Install, or "Customise with AI" to adapt the package to your environment first. No licence is needed for free listings.

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See it on your own systems.

A demo takes an hour, on your data landscape rather than ours.