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Zendesk to Amazon S3 integration

Connect Zendesk to Amazon S3 and automatically sync your customer support data. Weld extracts Tickets, Users, Organizations, and Groups from Zendesk, loads them into Amazon S3, and lets you transform the data using SQL or dbt, no custom scripts required.

Start for freeView setup guide
4.8 on G2
ZendeskSource
WeldWeld
Amazon S3Warehouse
Weld · New sync
ZendeskSourceZendeskConnected
Tables to sync
  • ticket48 cols
  • user48 cols
  • organization12 cols
  • group9 cols
  • ticket_form15 cols
  • organization_membership9 cols
  • Extract
  • Load
  • Keep in sync
Amazon S3DestinationAmazon S3Ready
zendesk schema
  • zendesk.ticketSynced
  • zendesk.userSyncing
  • zendesk.organizationSynced
  • zendesk.groupSynced
  • zendesk.ticket_formSynced
  • zendesk.organization_membershipSynced
Zendesk tables
43
fields, typed
444
relationships kept
23
agent context included
MCP

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How it works

How to set up Zendesk to Amazon S3 in Weld.
In the app, with the API or an agent.

Setup guideAPI guideMCP docs
Weld · New Zendesk sync
ZendeskNew connectionZendeskAuthorised
Connection namezendesk
AuthorizeOpens Zendesk to grant read access
Use cases

Why sync Zendesk to Amazon S3?
Ready for analysis.

Centralizing your Zendesk 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 Zendesk 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 Zendesk in Amazon S3. Correlate support data with product and customer data.

  • Centralized data warehouse

    Bring Zendesk 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 Zendesk to Amazon S3. Connect BI tools like Looker, Metabase, or Power BI.

Schema

What data can you sync?
Every Zendesk table, keys intact.

Weld syncs the following data objects from Zendesk into Amazon S3. The exact tables and fields depend on your Zendesk configuration and the permissions granted during setup.

Open the schema explorer
All 43 tables
  • ticket
  • user
  • organization
  • group
  • ticket_form
  • organization_membership
  • group_membership
  • ticket_metric
  • ticket_field
  • brand
  • ticket_comment
  • ticket_comment_attachment
  • ticket_activity
  • ticket_side_conversation
  • macro
  • sharing_agreement
  • ticket_audit
  • ticket_side_conversation_participant
  • ticket_side_conversation_event_message_to
  • brand_ticket_form
  • ticket_sharing_agreement
  • ticket_form_ticket_field
  • ticket_side_conversation_event
  • trigger
  • automation
  • automation_condition
  • trigger_condition
  • trigger_category
  • automation_action
  • macro_action
  • and 11 more
Weld MCP server

Ask your agent.
It queries Amazon S3 for you.

Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the Zendesk context, finds the tables it needs and runs the query in Amazon S3.

Set up the MCP serverClaudeCursorChatGPTGemini
Claude CodeOpus 5
>

How many ticket rows do we have per brand? Use our Zendesk data in Amazon S3.

Reading the Zendesk context first, so the query uses the right tables and keys.

●weld·search_available_references
⎿raw.zendesk.ticket
raw.zendesk.brand
+ 41 more Zendesk tables
●weld·get_reference_schema
⎿ticket · 48 columns
joins brand on brand_id
●weld·run_query
⎿select b.id, count(*) from {{raw.zendesk.ticket}} t
join {{raw.zendesk.brand}} b on t.brand_id = b.id
group by 1
submitted
●weld·get_query_status
⎿DONE
●weld·get_query_result
⎿rows returned
✓Answered from Zendesk data in Amazon S3
>Ask about your Zendesk data
Under the hood

Technical considerations.
What to expect.

Reverse ETL

ELT vs. reverse ETL: Zendesk and Amazon S3

ELT (Extract, Load, Transform) moves data from Zendesk into Amazon S3 for analysis. This is the approach shown on this page, and the one to use for dashboards, reports, and data models.

Reverse ETL works the other direction: it pushes enriched data from Amazon S3 back into Zendesk. For example, you could sync computed lead scores or customer segments from your warehouse into Zendesk to personalize outreach.

Weld supports both directions, so you can build a complete data loop between Zendesk and Amazon S3.

Amazon S3 to Zendesk
Incremental syncing
Weld uses incremental syncing where supported by the Zendesk API, loading only new and updated records to minimize data transfer and warehouse costs.
Schema handling
Weld automatically manages schema changes. If Zendesk 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.
Resources

Keep reading.
Guides, docs and schema.

Documentation

Zendesk setup guide

How to connect Zendesk to Weld, step by step.

Documentation

Amazon S3 setup guide

How to connect Amazon S3 to Weld, step by step.

Schema

Zendesk schema explorer

Browse all 43 tables and 444 fields.

Connector

Zendesk connector

Everything Weld does with Zendesk.

FAQ

Common questions.
About Zendesk to Amazon S3.

Start syncing Zendesk to Amazon S3.

Set up your Zendesk data pipeline in minutes. No credit card required. Free for 14 days.

ZendeskSource
WeldWeld
Amazon S3Warehouse
Start for freeTalk to us
Related

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