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Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
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2.1 KiB
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65 lines
No EOL
2.1 KiB
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---
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title: "Zapier"
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sidebarTitle: "Zapier"
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description: "Automate memory management with Supermemory in Zapier workflows"
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icon: "bolt"
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---
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With Supermemory you can now easily add memory to your Zapier workflow steps. Here's how:
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## Prerequisites
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- A Supermemory API Key. Get yours [here](https://console.supermemory.ai)
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## Step-by-step tutorial
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For this tutorial, we're building a simple flow that adds incoming emails in Gmail to Supermemory.
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<Steps>
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<Step title="Make a flow">
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Open your Zapier account and click on 'Zap' to make a new automation.
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</Step>
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<Step title="Add Gmail node">
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Add a new Gmail node that gets triggered on every new email. Connect to your Google account.
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</Step>
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<Step title="Add code block">
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Now, add a new 'Code by Zapier' block. Set it up to run Python.
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In the **Input Data** section, map the content field to the Gmail raw snippet.
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</Step>
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<Step title="Integrate Supermemory">
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Since we're ingesting data here, we'll use the add documents endpoint.
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Add the following code block:
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```python
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import requests
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url = "https://api.supermemory.ai/v3/documents"
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payload = { "content": inputData['content'], "containerTag": "gmail" }
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headers = {
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"Authorization": "Bearer YOUR_SM_API_KEY",
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"Content-Type": "application/json"
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}
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response = requests.post(url, json=payload, headers=headers)
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print(response.json())
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```
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The `inputData['content']` field maps to the Gmail content fetched from Zapier.
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</Step>
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</Steps>
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<Note>
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Sometimes Zapier might show an error on the first test run. It usually works right after. Weird bug, we know.
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</Note>
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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 tab. |