Automate Google Drive + PostgreSQL
Where the documents live — and pile up. The production database your reports should come from. Put an agent between them and the hand-off stops being manual: it reads, decides, acts, and shows its work.
Document Extractor already works across Google Drive and PostgreSQL — free, and it runs on your machine.
Automations teams run
These are not field mappings. An agent reads the Google Drive side, works out what it means, and only then decides what — if anything — should happen in PostgreSQL.
When a file lands in a folder in Google Drive…
…an agent can run parameterised queries in PostgreSQL — after reading the context and deciding it should.
When a doc is updated in Google Drive…
…an agent can write validated rows in PostgreSQL — after reading the context and deciding it should.
When a file is shared in Google Drive…
…an agent can produce report extracts in PostgreSQL — after reading the context and deciding it should.
When a scheduled query runs in PostgreSQL…
…an agent can read and summarise documents in Google Drive — with the reasoning recorded in the run’s receipt.
When a threshold is crossed in PostgreSQL…
…an agent can file outputs into folders in Google Drive — with the reasoning recorded in the run’s receipt.
Copy this Google Drive → PostgreSQL workflow
Concretely: the google-drive-api node on one side, a custom-api call to {host}:5432 on the other, and an agent in between that can decline. Deciding not to write into PostgreSQL is a recorded outcome, not a silent one.
{
"id": "22fb3cdb-31db-4b0d-a138-fdbaf47e7ca2",
"name": "Google Drive → PostgreSQL",
"nodes": [
{
"id": "ff07d409-590b-49d6-af6b-d6cbd3c1ff54",
"text": "Watch Google Drive",
"x": 512,
"y": 144,
"isEditing": false,
"type": "google-drive-api",
"icon": "connect",
"category": "trigger",
"isSelected": false,
"parameters": {},
"description": "Interact with Google Drive to perform various operations on files and folders.",
"error": null,
"isActive": false,
"output": null,
"outputs": {}
},
{
"id": "6270d9ba-369c-4b75-af6b-c245cda1a226",
"text": "Read it and decide",
"x": 512,
"y": 336,
"isEditing": false,
"type": "agnt-agent",
"icon": "connect",
"category": "action",
"isSelected": false,
"parameters": {
"instructions": "Read the Google Drive item. Decide whether it warrants action in PostgreSQL, and explain why."
},
"description": "Decides whether this Google Drive item warrants anything in PostgreSQL.",
"error": null,
"isActive": false,
"output": null,
"outputs": {}
},
{
"id": "239e38a3-a7cd-40e6-a5f6-3aa9e3a9a0c4",
"text": "Call PostgreSQL",
"x": 512,
"y": 528,
"isEditing": false,
"type": "custom-api",
"icon": "connect",
"category": "action",
"isSelected": false,
"parameters": {
"url": "postgresql://{user}:{password}@{host}:5432/{database}",
"method": "SQL"
},
"description": "Writes into PostgreSQL over its API.",
"error": null,
"isActive": false,
"output": null,
"outputs": {}
}
],
"edges": [
{
"id": "40382f35-9e48-48e3-afa7-1cee83d50fbe",
"start": {
"id": "ff07d409-590b-49d6-af6b-d6cbd3c1ff54",
"type": "output"
},
"end": {
"id": "6270d9ba-369c-4b75-af6b-c245cda1a226",
"type": "input"
},
"startX": 800,
"startY": 168,
"endX": 512,
"endY": 360
},
{
"id": "d4ab7938-448d-4180-a6cb-b7f8e6a19f64",
"start": {
"id": "6270d9ba-369c-4b75-af6b-c245cda1a226",
"type": "output"
},
"end": {
"id": "239e38a3-a7cd-40e6-a5f6-3aa9e3a9a0c4",
"type": "input"
},
"startX": 800,
"startY": 360,
"endX": 512,
"endY": 552
}
],
"zoomLevel": 1,
"canvasOffsetX": 0,
"canvasOffsetY": 0,
"isTinyNodeMode": false
}Install Document Extractor
Document Extractor already uses both Google Drive and PostgreSQL, so installing it gives you this exact hand-off wired up — connected, editable, and running on your own machine.
Runs on your own machine · See what it does
Build it in AGNT
- Download AGNT Community Core — free and local-first.
- Connect Google Drive with one OAuth sign-in and PostgreSQL with a local endpoint on your own machine; both land in the local vault.
- Start from a marketplace workflow, or drop google-drive-api and a custom-api node onto the canvas with an agent between them.
- Put an approval gate on anything consequential, then run it — the receipt shows what was read in Google Drive and what was written to PostgreSQL.
Google Drive and PostgreSQL — common questions
Can I connect Google Drive to PostgreSQL without writing code?
No code is required. Add both connections in the vault (Google Drive uses one OAuth sign-in, PostgreSQL uses a local endpoint on your own machine), then either install a marketplace workflow for this pair or drag the two nodes onto the canvas and put an agent between them.
How is this different from a field-mapping Google Drive to PostgreSQL automation?
A field mapping copies values and breaks on the first record nobody anticipated. The middle step here reads the Google Drive item in full and decides — whether it matters, how to summarise it, and what belongs in PostgreSQL. Deciding to do nothing is a valid outcome, which no mapping can express.
Does my Google Drive and PostgreSQL data leave my machine?
Your credentials stay in a vault on your own disk rather than in someone else’s cloud. The only calls made are the ones the workflow needs: Google Drive, PostgreSQL, and your chosen model provider — which can be a local one.
What does a Google Drive and PostgreSQL run leave behind?
Every run is recorded end to end — the Google Drive items examined, the decision and its reasoning, the resulting PostgreSQL write. That record is what makes it reasonable to let this run unattended, and what lets you widen its remit on evidence.
