Workflows as Code

Export every workflow in the portal to JSON files, keep the exports under version control, and restore workflows from JSON when something breaks. HubSpot has no recycle bin for workflows — a deleted or mangled workflow is gone unless you have its definition. This skill gives you that safety net, plus reviewable diffs of what changed between exports.

Why This Matters

Workflows are production automation, but most portals treat them like disposable UI configuration: no backups, no change history, no review. One mis-click in the workflow editor can silently break lead routing or suppression for weeks. The v4 Automation API supports full read and create of workflow definitions, which makes a code-like lifecycle possible: export → version → diff → restore.

Prerequisites

• A HubSpot private app access token (HUBSPOT_ACCESS_TOKEN in .env) with the automation scope (plus sensitive-data scopes if any flows touch sensitive properties)
• Python 3.10+ with uv
• A place to keep exports — a git repository is ideal (data/workflow-exports/ is gitignored here by default because exports may reference internal names; move them to a private repo if you want history)

Scripts

export.py lists all flows via GET /automation/v4/flows, fetches each full definition via the batch read endpoint (POST /automation/v4/flows/batch/read, falling back to per-flow GETs), and writes one JSON file per workflow plus a manifest. restore.py recreates a workflow from an export file via POST /automation/v4/flows — always disabled, under a “(restored)” name, for review before enabling.

Execution Pattern

Stage 1: Plan

1. Decide export cadence: before any workflow cleanup (mandatory — see /cleanup-workflows), after building new workflows, and on a schedule (monthly pairs well with /quarterly-database-cleanup).
2. Decide where exports live long-term (private git repo recommended).

Stage 2: Before

Nothing to prepare — the export is read-only. Note the current workflow count from Automation > Workflows for comparison.

Stage 3: Execute — Export

uv run skills/workflows-as-code/scripts/export.py

Output layout:

data/workflow-exports/<YYYY-MM-DD>/
├── manifest.csv              # flowId, name, type, isEnabled, revisionId, file
├── flow-<flowId>.json        # one full definition per workflow
└── ...

To diff two exports:

diff -u data/workflow-exports/2026-06-01/flow-12345.json \
        data/workflow-exports/2026-07-01/flow-12345.json

(Timestamps and revision IDs will differ; meaningful changes show up in actions and enrollmentCriteria.)

Stage 3 (alternative): Execute — Restore

To recreate a deleted or broken workflow from an export:

uv run skills/workflows-as-code/scripts/restore.py data/workflow-exports/2026-06-01/flow-12345.json

The script strips server-assigned fields (id, revisionId, timestamps), renames the flow with a “(restored)” suffix to avoid name collisions, and creates it disabled. Review it in the UI, verify enrollment criteria and actions against the original, then rename and enable.

Stage 4: After

1. Export: verify the manifest row count matches the portal’s workflow count and spot-open one JSON file.
2. Restore: open the restored workflow in Automation > Workflows, compare against the export, then enable.

Rollback

• Export is read-only — nothing to roll back.
• A restored workflow you do not want: it was created disabled; just delete it.

Technical Gotchas

1. Updating in place requires the current revisionId. PUT /automation/v4/{flowId} must include the flow’s latest revisionId and type — a stale revision is rejected. The restore script sidesteps this by creating a new flow instead of updating.
2. Some actions round-trip imperfectly. Actions whose field shapes are undocumented (e.g., copy-from-associated-object, notification recipients) export fine but may be rejected on re-create in a different portal. The restore script reports per-action errors; add rejected actions in the UI.
3. v3 workflow IDs are not v4 flow IDs. If you have old tooling built on /automation/v3/workflows, the v4 API provides workflowId → flowId mapping endpoints for migration. New tooling should use v4 exclusively — v3 is legacy.
4. Sensitive-data scopes. Flows that read or set sensitive properties require the corresponding sensitive-data scopes on your private app, or reads will fail.
5. Exports may contain internal data. Workflow names, property names, list IDs, and notification text are all in the JSON. Treat exports like configuration secrets — keep them in a private repo.