HubSpot Integrations & Custom API Development | PipelineSync

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Integrations

Connect HubSpot to the tools your team already uses

An integration that syncs is not the same as an integration you can trust. We design data flows with clear ownership, error logging, and a rollback plan, so when something fails you find out from an alert rather than from a customer.

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Tools we work with regularly

Native where a good native connector exists, custom where it does not. If a system has an API, it can be connected.

Native

HubSpot

Core CRM, source of truth for GTM

Custom API

Salesforce

Bi-directional sync with dedupe & field mapping

Native

Pipedrive

Migrate & sync deals, activities, contacts

Native

Mailchimp

Lists, campaigns, engagement sync

Native

Google Ads

Offline conversions & audience sync

Native

Facebook Ads

Lead ads + conversion API

Custom API

LinkedIn Ads

Matched audiences & lead gen forms

Native

Slack

Deal alerts, ticket routing, approvals

Native

Microsoft Teams

Notifications & collaborative deal rooms

Native

Zoom

Meeting sync, transcripts, follow-up automation

Native

Aircall

Call logging, recordings, power dialer

Custom API

Aloware

SMS & voice automation with HubSpot triggers

Custom API

QuickBooks

Invoices, payments, revenue recognition

Custom API

Xero

Accounting sync & deal-to-cash flow

Native

Stripe

Subscriptions, invoices, payment links

Custom API

PandaDoc

Proposals, eSign, deal automation

Native

Google Analytics

Traffic, conversion, attribution modeling

Custom API

Looker Studio

Custom dashboards & blended data sources

Custom API

Databox

KPI dashboards & TV mode reporting

Native

Zapier

No-code automation for long-tail tools

Custom API

Make

Advanced scenarios & data transformation

Custom API

REST API

Any system with an API, we build it

Custom API

Webhooks

Real-time event-driven integrations

Native

Calendly

Meeting routing & round-robin scheduling

Most integration problems are governance problems

Two systems holding the same record will eventually disagree. The question is what happens next. Without a defined source of truth, conflicting updates overwrite each other silently and nobody notices until reporting is wrong. We decide which system owns which field before we build anything, then add the logging and alerting that makes failures visible.

Defined ownership

Every synced field has one system of record. Conflicts resolve by rule, not by whichever update landed last.

Visible failures

Sync errors trigger alerts rather than sitting in a log nobody opens. You find out when something breaks.

Reversible changes

Bulk syncs run in a sandbox first and ship with a rollback path. A bad mapping does not become a data recovery project.

From stack audit to live sync

01

Audit your stack

Map every tool, what data moves between them, and where it currently breaks. Identify duplicated data entry and governance gaps.

02

Design the data flow

Define the source of truth for each field, the mapping and transformation logic, and how errors are handled. All of it written down.

03

Build, test, monitor

Build in a sandbox, test against real data, deploy with monitoring and alerts, then document it so your team knows what runs where.

Need something custom?

If your system has an API, we can connect it. Private apps, coded workflows, webhooks, and middleware, built with documentation and monitoring included.

Book a free consultation