Automate Airtable + PostgreSQL
Structured records with an API worth automating. 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 Airtable and PostgreSQL — free, and it runs on your machine.
Automations teams run
Each of these runs with a reasoning step between the two tools, so what reaches PostgreSQL is a decision about the Airtable event rather than a transcription of it.
When a record is created in Airtable…
…an agent can run parameterised queries in PostgreSQL — after reading the context and deciding it should.
When a field changes in Airtable…
…an agent can write validated rows in PostgreSQL — after reading the context and deciding it should.
When a view gains a row in Airtable…
…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 create and update records in Airtable — with the reasoning recorded in the run’s receipt.
When a threshold is crossed in PostgreSQL…
…an agent can query views for reporting in Airtable — with the reasoning recorded in the run’s receipt.
The Airtable and PostgreSQL hand-off, in full
Airtable is reached through a custom-api call to api.airtable.com and PostgreSQL through a custom-api call to {host}:5432. Between them sits the agent, which is the part a field-mapping tool cannot do: it reads the item and decides whether the hand-off is warranted at all.
{
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"name": "Airtable → PostgreSQL",
"nodes": [
{
"id": "2f3ba9d2-5125-41b9-a8d8-a8f118c45636",
"text": "Poll Airtable",
"x": 512,
"y": 144,
"isEditing": false,
"type": "trigger-timer",
"icon": "connect",
"category": "trigger",
"isSelected": false,
"parameters": {
"interval": "15",
"unit": "minutes"
},
"description": "Checks Airtable on a schedule.",
"error": null,
"isActive": false,
"output": null,
"outputs": {}
},
{
"id": "c099394e-56fe-43e8-a48f-6df4484ce13c",
"text": "Read it and decide",
"x": 512,
"y": 336,
"isEditing": false,
"type": "agnt-agent",
"icon": "connect",
"category": "action",
"isSelected": false,
"parameters": {
"instructions": "Read the Airtable item. Decide whether it warrants action in PostgreSQL, and explain why."
},
"description": "Decides whether this Airtable item warrants anything in PostgreSQL.",
"error": null,
"isActive": false,
"output": null,
"outputs": {}
},
{
"id": "06f091a3-67f0-4759-ad39-9e624857ce56",
"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": [
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"end": {
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"type": "input"
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"startX": 800,
"startY": 168,
"endX": 512,
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},
{
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"zoomLevel": 1,
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}Install Document Extractor
Document Extractor already uses both Airtable 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
Wiring Airtable to PostgreSQL
- Install AGNT — it runs on your own machine and needs no account to start.
- Authorise PostgreSQL (a local endpoint on your own machine) and Airtable (an API key pasted into the vault). Nothing is stored anywhere but your disk.
- Describe the job in plain language, or paste the definition above; custom-api does the reading and custom-api the writing.
- Gate anything you would not want done unattended, then let it run and read the first receipt end to end.
Airtable and PostgreSQL — common questions
Can I connect Airtable to PostgreSQL without writing code?
You can build it entirely from the canvas. Authorise Airtable with an API key pasted into the vault, PostgreSQL with a local endpoint on your own machine, then tell the agent what pipeline trackers that stay current should look like once PostgreSQL is involved. Code is an option for the unusual cases, never a requirement for the common ones.
How is this different from a field-mapping Airtable to PostgreSQL automation?
A field mapping copies values and breaks on the first record nobody anticipated. The middle step here reads the Airtable 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 Airtable and PostgreSQL data leave my machine?
AGNT Community Core is local-first, so there is no vendor middleman holding your Airtable or PostgreSQL tokens. The runtime talks directly to both services. Choose a local model and the content of what it reads never leaves the machine at all.
What does a Airtable and PostgreSQL run leave behind?
A receipt: what was read in Airtable, which tools ran with which arguments, what the agent concluded, and what it wrote to PostgreSQL. Anything consequential can sit behind an approval gate so a person signs off before it happens.
