AirTag Location Data Export and API Integration

What TagLogger exports

• Current and historical location for every linked AirTag (lat/lon + timestamp)
• Geofence entry and exit events with timestamps
• Stale-asset reports — assets that haven't moved in configurable time windows
• Asset metadata — name, color, category, assigned team
• Activity feed — complete event log for each AirTag over any selected range
• Low-battery status and AirTag reporting cadence

Export formats

CSV is the most common export format — compatible with Excel, Google Sheets, and virtually every business system. CSV export from TagLogger includes per-AirTag columns for timestamp, latitude, longitude, asset name, and any geofence events associated with that row.

JSON export preserves the full nested structure of the data including geofence metadata, asset category, and event types. JSON is useful for direct programmatic ingestion into scripts, data warehouses, and custom integrations.

Common integration patterns

• Daily CSV snapshot — scheduled export dropped into a shared drive or ERP folder for batch reconciliation
• Weekly audit report — stale-asset CSV plus activity summary for ops review
• Geofence webhook — TagLogger fires an HTTP webhook when a geofence event happens, posting to an FSM or TMS endpoint
• Live API polling — custom dashboards or monitoring tools pull location data on a cadence (typically every 1–5 minutes)
• Event-driven automation — webhook triggers downstream workflow (Slack alerts, ticket creation, inventory adjustments)

Integration targets — ERP, CMMS, TMS, FSM

AirTag location data plugs into four broad categories of operational software. The integration shape is similar in each — a geolocation field on an asset record, updated on a schedule or via webhook.

API access basics

TagLogger's API provides programmatic access to the same data shown in the web UI. Authentication is API-key-based, scoped per workspace. Common endpoints: list AirTags, get latest location for an AirTag, get location history for an AirTag over a time range, list geofences and geofence events, get asset metadata.

For high-frequency polling, most integrations settle on a 1–5 minute cadence — matching the practical update cadence of the Find My network. Higher-frequency polling doesn't produce more data because the underlying relay cadence is the rate-limiting step.

For event-driven integrations, webhook subscriptions are more efficient than polling. Subscribe to geofence entry/exit events and have TagLogger post to your endpoint the moment a relevant event fires.

Common export and integration use cases

• Audit reports — monthly or quarterly exports showing asset custody and movement for internal or external audits
• Insurance documentation — CSV export of location history for loss claims and theft cases
• Billing reconciliation — matching tracked asset location against contracted rental dates or service visits
• Inventory count automation — periodic fleet snapshots into inventory management systems
• Compliance logs — time-stamped location history for regulatory requirements (SOX asset controls, HIPAA device tracking)
• Custom dashboards — unified views across AirTag data plus other operational data (ERP, CRM, telemetry)
• Analytics pipelines — loading AirTag history into BigQuery/Snowflake/Redshift for asset utilization analysis

Security considerations for exports and API access

AirTag location data is valuable — it reveals where assets (and often, where people) are and have been. Treat export and API data with appropriate access controls. Restrict API keys to the minimum permission scope needed. Store API keys in a secrets manager, not in plain-text configs. Log API access for audit.

For CSV exports shared externally (with insurance adjusters, police, customers in disputes), share only the necessary time window and assets rather than a fleet-wide dump. TagLogger supports per-asset and time-bounded exports specifically for this.

Customers in regulated industries (healthcare, financial services) often route TagLogger export/API data through their compliance platform rather than directly into end systems. This is a reasonable pattern that TagLogger's export format supports.

Getting started with exports and API

Start with CSV export. It requires no development work, works in any spreadsheet tool, and covers most audit and reconciliation use cases. Most TagLogger customers use CSV for their first 3–6 months and only move to API integration once they hit a specific automation need.

For API integration, the practical first target is the geofence webhook — because it gives event-driven signals without requiring polling infrastructure. A webhook endpoint plus a few lines of logic can automate a significant share of the workflow (Slack alerts, ticket creation, status updates) without needing full custom integration.

Full ERP/CMMS integration is a larger project and usually comes later. By the time that's needed, the operational patterns around AirTag tracking are well-understood, and the integration targets specific data flows rather than "connect everything".