Freshdesk Freshdesk

Freshdesk

Source

Use Dataddo's Freshdesk connector to explore any data available via the official API of Freshdesk. Access hundreds of metrics and attributes, from basic to advanced. Build and blend custom datasets directly in Dataddo, then send them anywhere.

DATA FIELDS

Explore Data You Can Extract from Freshdesk

Data Category

Need fields you don't see?

Let us know and we'll add them to the connector. Just send a request here..

Available Attributes (129)

Attribute
available

Available

boolean
available_since

Available since

datetime
contact_active

Contact - active

boolean
contact_created_at

Contact - created at

datetime
contact_email sensitive

Contact - email

string
contact_job_title

Contact - job title

string
contact_language

Contact - language

string
contact_last_login_at

Contact - last login at

datetime
contact_mobile sensitive

Contact - mobile

string
contact_name sensitive

Contact - name

string
contact_phone sensitive

Contact - phone

string
contact_time_zone

Contact - time zone

string
contact_updated_at

Contact - updated at

datetime
created_at

Created at

datetime
agent_id

Agent ID

float
last_active_at

Last active at

datetime
occasional

Occasional

boolean
ticket_scope

Ticket scope

integer
type

Type

string
updated_at

Updated at

datetime
id

Company ID

string
description

Description

string
name

Name

string
note

Note

string
health_score

Health score

string
account_tier

Account tier

string
renewal_date

Renewal date

string
industry

Industry

string
created_at

Created at

datetime
updated_at

Updated at

datetime
id

ID

string
company_id

Company ID

string
created_at

Created at

datetime
due_by

Due by

datetime
fr_due_by

Frist due by

datetime
fr_escalated

Frist escalated

integer
group_id

Group ID

string
is_escalated

Is escalated

integer
priority

Priority

integer
requester_id

Requester ID

float
responder_id

Responder ID

string
source

Source

string
spam

Spam

integer
status

Status

integer
subject

Subject

string
type

Type

string
product_id

Product ID

string
support_email

Support email

string
updated_at

Updated at

datetime
agent_responded_at

Agent responded at

datetime
closed_at

Closed at

datetime
first_responded_at

First responded at

datetime
pending_since

Pending since

datetime
reopened_at

Reopened at

datetime
requester_responded_at

Requester responded at

datetime
resolved_at

Resolved at

datetime
status_updated_at

Status updated at

datetime
deleted

Deleted

integer
to_emails sensitive

To emails

string
associated_tickets_count

Associated tickets count

float
association_type

Association type

string
id

Group ID

string
auto_ticket_assign

Auto ticket assign

integer
business_hour_id

Business hour ID

string
created_at

Created at

datetime
description

Description

string
escalate_to

Escalate to

string
group_type

Group type

string
name

Name

string
unassigned_for

Unassigned for

string
updated_at

Updated at

datetime
id

Id

string
name

Name

string
label

Label

string
label_for_customers

Label For Customers

string
position

Position

integer
type

Type

string
default

Default

boolean
customers_can_edit

Customers Can Edit

string
required_for_closure

Required For Closure

boolean
required_for_agents

Required For Agents

boolean
required_for_customers

Required For Customers

boolean
displayed_to_customers

Displayed To Customers

boolean
created_at

Created At

datetime
updated_at

Updated At

datetime
archived

Archived

float
to_emails sensitive

To emails

string
tags

Tags

string
associated_tickets_count

Associated tickets count

float
association_type

Association type

string
company_id

Company ID

integer
created_at

Created at

datetime
due_by

Due by

datetime
fr_due_by

Frist due by

datetime
fr_escalated

Frist escalated

float
group_id

Group ID

float
is_escalated

Is escalated

float
priority

Priority

float
ticket_id

Ticket ID

float
requester_id

Requester ID

float
responder_id

Responder ID

string
source

Source

float
spam

Spam

float
status

Status

float
subject

Subject

string
type

Type

string
structured_description

Structured Description

string
product_id

Product ID

string
support_email

Support email

string
updated_at

Updated at

datetime
agent_responded_at

Agent responded at

datetime
closed_at

Closed at

datetime
first_responded_at

First responded at

datetime
pending_since

Pending since

datetime
reopened_at

Reopened at

datetime
requester_responded_at

Requester responded at

datetime
resolved_at

Resolved at

datetime
status_updated_at

Status updated at

datetime
time_entry_id

Time entry ID

string
agent_id

Agent ID

string
billable

Billable

boolean
executed_at

Executed at

datetime
note

Note

string
start_time

Start time

datetime
ticket_id

Ticket ID

string
time_spent

Time spent

string
timer_running

Timer running

boolean
created_at

Created at

datetime
updated_at

Updated at

datetime

Pricing

See all Dataddo plans

Compare Dataddo's flow-based pricing tiers side by side and start your 14-day free trial.

View pricing
One Platform to Connect All Your Data

Why Dataddo?

One Ingestion Layer for SaaS, Databases, and Files

One Ingestion Layer for SaaS, Databases, and Files

Most teams use multiple tools and “spaghetti code” for ingestion, depending on the type of sources and loading patterns. Dataddo brings this under one control plane and one predictable pricing structure. 400+ connectors included.

Built for Cloud and On-Premise Environments

Built for Cloud and On-Premise Environments

Run Dataddo in both cloud and hybrid on-prem configurations. The control plane stays in the cloud; your data never leaves your perimeter. Supports segmented and private networks, and legacy systems including DB2, Informix, and Sybase.

Full API Control - No UI Required

Full API Control - No UI Required

Dataddo is built API-first. Use the UI when you want it; bypass it entirely when you don’t and orchestrate your pipelines programmatically.

Managed Ingestion Operations. We Own the Reliability.

Managed Ingestion Operations. We Own the Reliability.

Dataddo takes operational responsibility for your ingestion layer. We manage connector maintenance, handle API changes from source systems, monitor pipelines proactively, and execute backfills and recovery. Your engineering team doesn’t have to.

Full Visibility Into Every Data Flow

Full Visibility Into Every Data Flow

Dataddo gives you complete observability across your ingestion layer: pipeline logs, run histories, data lineage, and audit trails. Know what moved, when it moved, what changed, and why. Built for environments where explainability and accountability are not optional.

The Data Foundation Your AI Needs

The Data Foundation Your AI Needs

Enterprise AI depends on a governed, secure data layer. Dataddo consolidates SaaS, database, and file data into a unified managed pipeline, delivering to vector databases, feature stores, and data lakes, with native sensitive data hashing.

See All Platform Benefits
Testimonials

Our Customers Love Us

G2 Implementation Winter 2025

Amalia Bornstein

Global Social Content and Marketing Data Analyst

Uber Eats

“The data team at Uber Eats appreciates Dataddo's user-friendly interface that is designed for operation by non-technical team members in an order to minimalize the need for excessive training to support efficient project delivery.”

G2 Implementation Winter 2025

Andrew Hart

Chief Operations Officer

Sat 7

“Working with Dataddo has greatly simplified our reporting and given us access to trend data and insights that we were previously unable to generate.”

G2 Implementation Winter 2025

Vahan Petrosayan

Director of IT & Infrastructure

Search Engine Journal

“With Dataddo, all of my questions get answered faster …[and it's] fun to play with data now.”

G2 Implementation Winter 2025

Michael Guntenaar

CTO

ID&T Group

“Dataddo opens up gates and takes away the hurdles of working with data.”

G2 Implementation Winter 2025

Laurent Partouche

CPO

FoodChéri & Seazon

“We chose Dataddo for its user-friendliness, automatic transformations, clear pricing policy, and the quality of the human relationship that was established from our first exchanges.”

G2 Implementation Winter 2025

Natheer Maloon

Technology Solutions Manager

Boldr

“Dataddo support proved immensely valuable throughout the implementation phase. 9.5 out of 10.”

G2 Implementation Winter 2025

Zdeněk Hejnak

Data Development Team Leader

Livesport

“We save about 70% of the time it would otherwise take to ingest all our data, or 3-4 full-time equivalents, and spend this much more time on data analytics and activation. We only have one full-time data engineer, who does more than just collect data, while our BI team consists of 11 members.”

G2 Implementation Winter 2025

Greg Senior

Business Operations Manager

Farm Focus

“Appreciate all the help and support for us. A refreshing level of service from a tech company! Thank you!”

G2 Implementation Winter 2025 G2 Performer Winter 2025 Google Cloud Partner Tableau Technology Partner AWS Partner Network Gartner Cool Vendor