Freshdesk to Amazon S3 integration
Connect Freshdesk to Amazon S3 and automatically sync your customer support data. Weld extracts Tickets, Contacts, Agents, and Groups from Freshdesk, loads them into Amazon S3, and lets you transform the data using SQL or dbt, no custom scripts required.
Source
WarehouseSourceFreshdeskConnected- agent26 cols
- ticket28 cols
- group12 cols
- satisfaction_rating10 cols
- ticket_conversation24 cols
- email_config11 cols
- Extract
- Load
- Keep in sync
DestinationAmazon S3Ready- freshdesk.agentSynced
- freshdesk.ticketSyncing
- freshdesk.groupSynced
- freshdesk.satisfaction_ratingSynced
- freshdesk.ticket_conversationSynced
- freshdesk.email_configSynced
- Freshdesk tables
- 59
- fields, typed
- 535
- relationships kept
- 26
- agent context included
- MCP
Trusted by data and AI teams
How to set up Freshdesk to Amazon S3 in Weld.
In the app, with the API or an agent.
New connectionFreshdeskAuthorisedWhy sync Freshdesk to Amazon S3?
Ready for analysis.
Centralizing your Freshdesk data in Amazon S3 lets you join it with other data sources for cross-platform analytics and deeper insights.
Build reliable dashboards and reports by querying Freshdesk data directly in Amazon S3 using SQL or your preferred BI tool.
Support metrics and SLA tracking
Monitor ticket volume, resolution times, and satisfaction scores from Freshdesk in Amazon S3. Correlate support data with product and customer data.
Centralized data warehouse
Bring Freshdesk data into Amazon S3 alongside other sources to create a single source of truth for your organization.
Automated reporting
Replace manual exports and spreadsheet-based reporting with automated pipelines from Freshdesk to Amazon S3. Connect BI tools like Looker, Metabase, or Power BI.
What data can you sync?
Every Freshdesk table, keys intact.
Weld syncs the following data objects from Freshdesk into Amazon S3. The exact tables and fields depend on your Freshdesk configuration and the permissions granted during setup.
- agent
- ticket
- group
- satisfaction_rating
- ticket_conversation
- email_config
- product
- company
- portal
- contact
- automation
- business_hour
- ticket_form
- role
- survey
- survey_question
- sla_policy_escalation_resolution
- agent_role
- agent_group
- portal_ticket_form
- satisfaction_rating_value
- sla_policy_escalation_response
- sla_policy_escalation_next_response
- sla_policy_escalation_reminder_response
- sla_policy_escalation_reminder_resolution
- sla_policy_escalation_reminder_next_response
- automation_type
- automation_action
- account
- discussion_topic
- and 29 more
Ask your agent.
It queries Amazon S3 for you.
Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the Freshdesk context, finds the tables it needs and runs the query in Amazon S3.
How many ticket rows do we have per email_config? Use our Freshdesk data in Amazon S3.
Reading the Freshdesk context first, so the query uses the right tables and keys.
Technical considerations.
What to expect.
- Incremental syncing
- Weld uses incremental syncing where supported by the Freshdesk API, loading only new and updated records to minimize data transfer and warehouse costs.
- Schema handling
- Weld automatically manages schema changes. If Freshdesk adds new fields, they're detected and added to the corresponding Amazon S3 tables.
- Data freshness
- Sync frequency depends on your Weld plan. Most connectors support schedules from every 5 minutes up to daily intervals.
- Security
- All data is encrypted in transit (TLS) and at rest. Weld is SOC 2 Type II compliant and supports IP whitelisting for database connections.
Keep reading.
Guides, docs and schema.
Common questions.
About Freshdesk to Amazon S3.
Start syncing Freshdesk to Amazon S3.
Set up your Freshdesk data pipeline in minutes. No credit card required. Free for 14 days.
SourceWarehouse
