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---
title: "Integrate supermemory in your Zapier workflows"
sidebarTitle: "Zapier"
description: "Learn how to use the code block to integrate supermemory with Zapier and add memory to your automations."
---
With Supermemory you can now easily add memory to your Zapier workflow steps. Here's how:
## Prerequisites
- A Supermemory API Key. Get yours [here](console.supermemory.ai)
## Step-by-step tutorial
For this tutorial, we're building a simple flow that adds incoming emails in Gmail to Supermemory.
<Steps>
<Step title="Make a flow">
Open your Zapier account and click on 'Zap' to make a new automation.
</Step>
<Step title="Add Gmail node">
Add a new Gmail node that gets triggered on every new email. Connect to your Google account.
</Step>
<Step title="Add code block">
Now, add a new 'Code by Zapier' block. Set it up to run Python.
In the **Input Data** section, map the content field to the Gmail raw snippet.
</Step>
<Step title="Integrate Supermemory">
Since we're ingesting data here, we'll use the [add documents endpoint.](/api-reference/manage-documents/add-document)
Add the following code block:
```python
import requests
url = "https://api.supermemory.ai/v3/documents"
payload = { "content": inputData['content'], "containerTag": "gmail" }
headers = {
"Authorization": "Bearer YOUR_SM_API_KEY",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.json())
```
The `inputData['content']` field maps to the Gmail content fetched from Zapier.
</Step>
</Steps>
<Note>
Sometimes Zapier might show an error on the first test run. It usually works right after. Weird bug, we know.
</Note>
You can perform other operations like search, filtering, user profiles, etc., by using other Supermemory API endpoints which can be found in our [API Reference.](api-reference/search/search-memory-entries)
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