Freshdesk integration

Freshdesk data, in your warehouse.

A built-in ingestr connector: add credentials, pick tables, schedule it.

name: raw.tickets
type: ingestr
parameters:
  source_connection: freshdesk
  source_table: 'tickets'
  destination: snowflake
  incremental_strategy: merge

$ bruin run assets/raw/freshdesk.asset.yml

  1. extract · Freshdesk ticketsincremental
  2. load · snowflake raw.ticketsmerged
  3. checks · not_null, unique

Loaded and checked. Downstream models can run.

How it connects

Connected in three steps.

Cloud-based customer support platform that provides help desk software with ticketing, knowledge base, and customer service automation.

  1. 01

    Add a Freshdesk connection with its credentials.

  2. 02

    Pick the tables to load and how: replace, append or merge.

  3. 03

    Bruin runs it on your schedule and checks every load.

Connection parameters

api_key
Freshdesk API key
domain
Freshdesk domain (without https://)

Tables

5 tables, ready to load.

  • tickets
  • contacts
  • agents
  • companies
  • groups

The platform

Part of the Bruin platform.

Data in, ready for everything downstream: the models, the checks, the lineage and the AI layer.

Frequently asked

Questions about Freshdesk.

Does Bruin have a built-in Freshdesk integration?

Yes. Built-in ingestr source.

Which Freshdesk tables can Bruin load?

tickets, contacts, agents, companies, groups.

Where can Freshdesk data go?

Snowflake, BigQuery, Databricks, Redshift, ClickHouse, Postgres, DuckDB, MotherDuck, Microsoft Fabric and more, plus files on S3 and GCS.

How fresh is the data?

As fresh as your schedule. Incremental loads append, merge or replace a time window, every few minutes if you like.

Do we need Bruin Cloud?

No. The Bruin CLI and ingestr run locally, in CI or in your own orchestrator. Bruin Cloud adds scheduling, lineage, alerts and the AI data analyst on top.

Ready to connect Freshdesk?

$100 in credits and 50 AI tasks. No credit card.

A demo walks through your own data.

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