Move your data from Freshdesk with your free account

Capture data from Freshdesk and deliver it to your destinations using Estuary's pre-built connectors. Build pipelines for real-time, incremental, or batch data movement based on connector capabilities.

<100ms to batch
200+ connectors
Managed data pipelines

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01. Move from Freshdesk02. Transform in-flight03. Select a destination

Freshdesk connector details

The Freshdesk connector captures support and ticketing data from your Freshdesk account into Estuary collections, providing unified, near-real-time access to customer service metrics and activities.

Comprehensive data coverage: Captures a wide range of Freshdesk resources including Tickets, Agents, Contacts, Companies, Conversations, and Satisfaction Ratings.
API-based ingestion: Connects directly to the Freshdesk REST API, ensuring accurate and up-to-date replication of helpdesk data.
Incremental updates: Supports continuous sync to capture new and updated records without reloading historical data.
Configurable rate limits: Lets you control request frequency to stay within Freshdesk’s 50 requests per minute per account limit.
Simple setup: Requires only your Freshdesk domain and API key for authentication.
Flexible resource selection: Each API resource is mapped to an individual Estuary collection for easy data modeling and downstream analysis.

💡 Tip: To optimize API usage, limit your requests_per_minute setting when working with large datasets or multiple concurrent captures from the same Freshdesk account.

For more details about the Freshdesk connector, check out the documentation page.

How to connect Freshdesk to your destination in 3 easy steps

1
Connect Freshdesk as your data source
Securely connect Freshdesk and choose the objects, tables, or collections you need to sync.
2
Prepare and transform your data
Apply transformations and schema mapping as data moves whether you are streaming in real time or loading in batches.
3
Deliver to your destination
Continuously or periodically deliver your data to the destination you choose, based on the capabilities and configuration of your pipeline.

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HIGH THROUGHPUT

Distributed, event-driven architecture scales for demanding data workloads.

DURABLE COLLECTIONS

Store data as it moves so you can transform, replay, and deliver it downstream.

FLEXIBLE LATENCY

From <100ms CDC and real-time streaming to scheduled batch, depending on connector capabilities.

From <100ms to batch

Estuary supports CDC, real-time streaming, incremental syncs, and scheduled batch across its connector ecosystem. Capture data from Freshdesk using the cadence supported by the connector, then transform and deliver it to the destinations your team uses.

Connect Freshdesk to warehouses, databases, data lakes, search platforms, and event systems through Estuary-supported destinations.
Capture once and reuse Freshdesk data across transformations and multiple downstream destinations without rebuilding source extraction.

See where you can send Freshdesk data:

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Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.

Feature Comparison

	Estuary	Batch ELT/ETL	DIY Python	Kafka
Price	$	$$-$$$$	$-$$$$	$-$$$$
Latency	<100ms to scheduled	5min+	Varies	<100ms
Ease	Analysts can manage	Analysts can manage	Data Engineer	Senior Data Engineer
Scale
Maintenance Effort	Low	Medium	High	High