Linking SafetyCulture as a source

Alpha release

This source is currently in alpha. The interface and available tables may change.

The SafetyCulture connector syncs your workplace-operations data – inspections and their answers, templates, corrective actions, issues, assets, users, groups, sites, and schedules – into the PostHog data warehouse, so you can analyze your safety and operations workflows alongside your product data.

Prerequisites

You need a SafetyCulture account on a Premium or Enterprise plan with permission to create an API token. Data feed access follows the token owner's permissions, so SafetyCulture recommends granting the Data Access permission for warehouse integrations.

Adding a data source

  1. In PostHog, go to the Sources tab of the data pipeline section.
  2. Click + New source and click Link next to this source.
  3. Enter your credentials (see Configuration below) and click Next.
  4. Select the tables you want to sync, choose a sync method and frequency, then click Import.

Once the syncs are complete, you can start querying this data in PostHog.

When linking SafetyCulture, you'll need:

  • API token – generate one under Account settings → Integrations → Manage API tokens in SafetyCulture.

API tokens expire after 30 days of inactivity, so SafetyCulture recommends a service user token for long-term integrations.

Sync modes

Each table can be synced in one of several modes, depending on what the source supports:

  • Webhook (when available) – the source pushes changes to PostHog in real time. Fastest freshness, lowest ongoing cost, and the only mode that reliably captures updates and deletes.
  • Incremental – only new or updated rows are synced on each run, using a cursor field (such as an updated_at timestamp). Cheaper than a full refresh, but deletes aren't captured.
  • Append only – new rows are appended using a cursor field; existing rows are never updated. Ideal for immutable, append-only tables like event logs.
  • Full refresh – the whole table is reloaded on every sync. Use it when a table has no reliable cursor or when you need deletions reflected.

See sync methods for a full explanation of how each mode works and how to choose between them.

Inspections, inspection items, templates, and actions support incremental sync on modified_at via SafetyCulture's server-side modified_after filter. The other tables are full refresh only.

Configuration

OptionTypeRequired
API tokenpasswordYes

Supported tables

TableDescriptionSync methodIncremental fieldPrimary key
inspections

An inspection (audit) conducted from a template, with its score, timings, and location.

Incremental, Full refreshmodified_at
inspection_items

A single question/item answered within an inspection, with its response, score, and media.

Incremental, Full refreshmodified_at
templates

An inspection template that inspections are conducted from.

Incremental, Full refreshmodified_at
actions

A corrective action, optionally raised against an inspection item, with its priority, status, and assignment context.

Incremental, Full refreshmodified_at
issues

An issue reported in SafetyCulture, with its category, priority, status, and linked inspection/site.

Full refresh
assets

An asset tracked in SafetyCulture, with its type, custom fields, site, and state.

Full refresh
users

A user in your SafetyCulture organization.

Full refresh
groups

A user group in your SafetyCulture organization.

Full refresh
sites

A site (location, area, region, state, or country) in your SafetyCulture organization.

Full refresh
schedules

A recurring inspection schedule, with its recurrence pattern, template, and site.

Full refresh

Troubleshooting

  • If you see an authentication error, your API token is invalid or has expired – tokens expire after 30 days of inactivity. Generate a new token (ideally for a service user), then reconnect.
  • If you see a permissions error on a specific table, the token's user is missing access to that data feed. Grant the user the Data Access permission in SafetyCulture, then reconnect.

If your sync is failing or data looks wrong, see the Data warehouse troubleshooting guide. If that doesn't help, contact support – we're happy to help.

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