Send Pipedrive Data Anywhere

Pipedrive

Sales & CRM

Dataddo extracts the full Pipedrive object set - accounts, contacts, deals, activities - and delivers it wherever your revenue team needs it: into AI tools and agents, your warehouse like Snowflake and BigQuery, BI dashboards, and back into your CRM and finance tools. Blend it with marketing and product data, backfill full history, and keep it fresh on your schedule - all fully managed, with the data plane running where you choose. No pipelines to build, no lock-in.

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YOUR REVENUE SOURCE OF TRUTH

Turn Pipedrive into pipeline reporting your whole team trusts

Sales data is only useful when it's complete, clean, and current. Dataddo extracts the full Pipedrive object model, governs it, and serves it to every warehouse, dashboard, AI tool, and downstream system - continuously and without manual exports.

Every object & field

Pull the full Pipedrive object model - accounts, contacts, deals, activities, custom objects - not just a fixed preset, so your pipeline reports are never missing a field.

Blend with marketing & product

Combine Pipedrive with your marketing, product, and finance sources so full-funnel and revenue analytics live in one place.

Backfill full history

Load historical Pipedrive data beyond the platform's export limits, so trend, cohort, and win-rate analysis holds up.

Model & clean before load

Normalize currencies, stages, and owner names, and let the Data Quality Firewall stop bad rows before Pipedrive data reaches your reports.

Fresh on your schedule

Incremental, scheduled syncs keep Pipedrive data current - as often as hourly - without manual exports or full reloads.

Governed & monitored

Delivery alerts and quality checks catch gaps in Pipedrive data early, so forecasts and dashboards never silently break.

DATASETS

What you can pull from Pipedrive

The Pipedrive connector provides a list of curated datasets - ready-made sets of objects, fields, and metrics you can extract on a schedule. Need something specific? Any dataset can be forked and customized, or built from scratch, with our Universal Connector.

List of curated datasets

IDid

string

Active Flagactive_flag

integer

Add Timeadd_time

datetime

Assigned To User IDassigned_to_user_id

float

Busy Flagbusy_flag

string

Calendar Sync Include Contextcalendar_sync_include_context

string

Company IDcompany_id

float

Conference Meeting Clientconference_meeting_client

string

Conference Meeting IDconference_meeting_id

string

Conference Meeting Urlconference_meeting_url

string

created_by_user_idcreated_by_user_id

float

Deal Dropbox Bccdeal_dropbox_bcc

string

deal_id

string

Deal Titledeal_title

string

Donedone

integer

Due Datedue_date

datetime

Due Timedue_time

string

Durationduration

string

Filefile

string

GGal Event IDgcal_event_id

string

Googlec Calendar ETaggoogle_calendar_etag

string

Googlec Calendar IDgoogle_calendar_id

string

Last Notification Timelast_notification_time

string

Last Notification User IDlast_notification_user_id

string

Lead IDlead_id

string

Lead Titlelead_title

string

Locationlocation

string

Location Admin Area Level 1location_admin_area_level_1

string

Location Admin Area Level 2location_admin_area_level_2

string

Location Countrylocation_country

string

Location Formatted Addresslocation_formatted_address

string

Location Localitylocation_locality

string

Location Postal Codelocation_postal_code

string

Location Routelocation_route

string

Location Street Numberlocation_street_number

string

Location Sublocalitylocation_sublocality

string

Location Subpremiselocation_subpremise

string

Marked As Done Timemarked_as_done_time

string

Notenote

string

Notification Language IDnotification_language_id

string

org_id

string

Org Nameorg_name

string

Owner Nameowner_name

sensitivestring

participants_person_id

string

Participants Primary Flagparticipants_primary_flag

integer

Person Dropbox Bccperson_dropbox_bcc

string

person_id

string

Person Nameperson_name

sensitivestring

Public Descriptionpublic_description

string

Rec Master Activity IDrec_master_activity_id

string

Rec Rulerec_rule

string

Rec Rule Extensionrec_rule_extension

string

Reference IDreference_id

string

Reference Typereference_type

string

Source Timezonesource_timezone

string

Subjectsubject

string

Yypetype

string

Type Nametype_name

string

Update User IDupdate_user_id

string

User IDuser_id

float

Update Timeupdate_time

datetime

Need a dataset, metric, or attribute you don't see?

Tell us what's missing and we'll add it to the connector.

Request it

WITH VS. WITHOUT

Who carries the load when things change

Keep Pipedrive data flowing to every warehouse, dashboard, and tool - and see who owns it when an API or schema changes:

	Without Dataddo	With Dataddo	Outcome for you
API or auth change	You discover the breakage and scramble to fix it.	We update the connector and restore the pipeline - often before you notice.	Syncs from Pipedrive keep flowing
Schema drift	Columns change and pipelines break or corrupt data silently.	Detected automatically and handled by configurable rules.	Only clean Pipedrive data lands in reports
Endpoint deprecated	You re-engineer the integration.	We own the update - the data contract holds.	Your Pipedrive reporting keeps working
Missing connector	You build and maintain a custom integration.	We build it and maintain it, under a ~4-week SLA.	Any Pipedrive object you need, on request
Silent degradation	You find out when a report or model run fails.	Proactive monitoring catches anomalies and delays first.	Gaps caught before forecasts break
Debugging	You dig through logs across disconnected tools.	Run histories, payload inspection, and end-to-end lineage in one place.	Faster root-cause, fewer reporting gaps

Data residency by design

Choose where Pipedrive data is processed - same cloud, region, or sovereign

Pipedrive is a cloud API, so the question isn't on-prem vs cloud - it's which region your customer and pipeline data flows through. With Dataddo you run the data plane in the region you choose, so Pipedrive payloads move straight to your destinations without transiting a third-party SaaS. Pin it to an EU or US region for compliance, or self-host when a downstream target lives inside your own network.

Data Plane location	Typical data sensitivity	Why this setup
Public cloud AWS Microsoft Azure Google Cloud	Low to moderate - general business, marketing, and product data; sources that are already cloud-native.	Fastest to stand up and scales elastically. Best when the data has no residency restriction and often already lives in the same public cloud.
Regional & EU sovereign clouds EU sovereign clouds Regional providers Private cloud	Regulated / residency-bound - PII, financial, and health data governed by GDPR or local law.	Keeps processing inside a specific jurisdiction to meet data-residency and sovereignty rules, while still running as managed infrastructure.
On-premises Kubernetes Red Hat OpenShift VMware Tanzu	Highly sensitive / restricted - data that contractually or legally cannot leave the corporate perimeter.	Data never leaves your network. Required for air-gapped, classified, or locked-down environments; the Control Plane still manages it via metadata only.

DATA DELIVERY

Every way to deliver Pipedrive data

Sales data rarely has one home. Dataddo feeds Pipedrive into AI and agents, loads it into your warehouse for pipeline modeling, syncs enriched records back into CRM and finance tools, and delivers files to storage - all governed the same way.

Transport type	What it does	Typical destinations	Typical business use cases
Data to AI & Agents	Feed Pipedrive data into vector databases, LLMs, and AI agents so sales copilots can reason over your pipeline.	Claude OpenAI Gemini Mistral AI + 400 more	Load Pipedrive records into vector stores for retrieval-augmented sales assistants, Give AI agents and copilots governed access to live Pipedrive pipeline data
ETL / ELT to your warehouse	Load Pipedrive objects and metrics into your warehouse for pipeline and revenue analytics.	Snowflake BigQuery Amazon Redshift PostgreSQL + 400 more	Centralize Pipedrive alongside marketing and product data in Snowflake, BigQuery, or Redshift, Backfill Pipedrive history for cohort and win-rate analysis
Sync back to CRM & tools	Push enriched or modeled records built from Pipedrive data back into CRM and finance systems.	Salesforce HubSpot NetSuite + 400 more	Sync modeled scores and enriched accounts from Pipedrive to your CRM, Keep Pipedrive records aligned with finance and support systems
Files to storage & partners	Deliver raw or modeled Pipedrive extracts to object storage and partners.	AWS S3 Google Cloud Storage Azure Blob Storage SFTP + 400 more	Archive raw Pipedrive exports to S3, GCS, or Azure storage, Send scheduled Pipedrive extracts to partners over SFTP

Case Studies

See what revenue teams build with Dataddo

65,000 Social Media Accounts. One Platform. Zero Manual Authorizations.

Beauty & Consumer Goods

How Livesport Activates Data, Saves Engineering Resources with BigQuery and Dataddo

Entertainment

How ID&T Group Activates Data from 1M+ Festival Fans and Dozens of Social Accounts

Entertainment

How Sensire Accelerated Migration of a Proprietary On-Premise Data Infrastructure to the Cloud with Dataddo

Healthcare

How Ringside.ai Builds a Data Product Better and Faster Using Dataddo

Marketing

How Publicis Groupe Brasil Uses Dataddo's API to Scale a Data Product

Advertising

FAQ

Pipedrive as a source + Dataddo, answered

Where can I send Pipedrive data?

To any of Dataddo's 150+ destinations - warehouses like Snowflake and BigQuery, BI dashboards, other CRMs and finance tools, object storage, and AI or vector stores - plus custom destinations on request.

Do I have to maintain the pipeline?

No. Dataddo is fully managed: we maintain the Pipedrive connector, adapt to API and schema changes, and alert you if anything needs attention. There is no pipeline code for you to write or fix.

Can I keep Pipedrive data in sync with our warehouse automatically?

Yes. Dataddo loads Pipedrive objects into Snowflake, BigQuery, or Redshift on the schedule you set, moving only new or changed records incrementally. Your pipeline, revenue, and forecast models stay current without manual exports or engineering.

What if Pipedrive changes their API?

That's on us, not you. Dataddo's team proactively tracks Pipedrive API and schema changes and updates the connector before they break your pipeline. Continuous monitoring watches every sync, and if anything needs attention you get an alert - so your Pipedrive data keeps flowing without you touching a thing.

Which Pipedrive objects and fields are available?

The full Pipedrive object model - standard and custom objects, fields, and metrics, not a fixed subset. If a field you need isn't exposed yet, we add it on request, usually at no extra cost.

How is my data secured?

Dataddo is SOC 2 Type II and ISO 27001 certified. Data is encrypted in transit and at rest, PII can be masked or hashed, and EU or US data residency is available. Self-host the data plane and payload data never leaves your network.

Will API rate limits be a problem?

Dataddo handles Pipedrive pagination, rate limits, and retries for you, and pulls incrementally on a schedule so you stay within API quotas without impacting your CRM.

Am I locked in?

No. Pipelines are source- and destination-agnostic - you can add or switch destinations without rebuilding, and data lands in native formats you own.