Gemini AI、Supabase、Nano-Bananaを基盤とするエンドツーエンドブログ作成自動化
上級
これはContent Creation, Multimodal AI分野の自動化ワークフローで、51個のノードを含みます。主にIf, Set, Code, Wait, Supabaseなどのノードを使用。 Gemini AI、Supabase、Nano-Bananaを使ったエンドツーエンドブログ作成自動化
前提条件
- •Supabase URL と API Key
- •ターゲットAPIの認証情報が必要な場合あり
- •Google Gemini API Key
使用ノード (51)
ワークフロープレビュー
ノード接続関係を可視化、ズームとパンをサポート
ワークフローをエクスポート
以下のJSON設定をn8nにインポートして、このワークフローを使用できます
{
"meta": {
"instanceId": "b6be3264d10563f53f60f119665bef14019561878be2f73c07ebd4200e9255cf"
},
"nodes": [
{
"id": "5fd2f145-ebbf-41cb-b9a0-b18c2b4f52d3",
"name": "スケジュールトリガー",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
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],
"parameters": {},
"typeVersion": 1.2
},
{
"id": "bf5d3d2c-5ca8-43a2-a511-551838664ad7",
"name": "AIエージェント",
"type": "@n8n/n8n-nodes-langchain.agent",
"maxTries": 2,
"position": [
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144
],
"parameters": {},
"retryOnFail": true,
"typeVersion": 2.2,
"alwaysOutputData": true,
"waitBetweenTries": 5000
},
{
"id": "4dc7ae88-0acf-4196-92be-f550ac1bdca2",
"name": "構造化出力パーサー",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
-1440,
384
],
"parameters": {},
"typeVersion": 1.3
},
{
"id": "3d654105-be79-4358-bf60-c14e816ce733",
"name": "Groqチャットモデル",
"type": "@n8n/n8n-nodes-langchain.lmChatGroq",
"position": [
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],
"parameters": {},
"typeVersion": 1
},
{
"id": "7483a0a5-451f-4246-b04d-f466c79e5ebf",
"name": "Google Gemini チャットモデル",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
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560
],
"parameters": {},
"typeVersion": 1
},
{
"id": "d1bc72c3-2f07-416c-a111-a70352e6853c",
"name": "RSSリード",
"type": "n8n-nodes-base.rssFeedReadTool",
"position": [
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],
"parameters": {},
"typeVersion": 1.2
},
{
"id": "c028f0b6-0481-4780-9846-406a4e61ec9f",
"name": "行を作成",
"type": "n8n-nodes-base.supabase",
"position": [
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],
"parameters": {},
"typeVersion": 1
},
{
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],
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"waitBetweenTries": 5000
},
{
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{
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"parameters": {},
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},
{
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{
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{
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{
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},
{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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"parameters": {},
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},
{
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"position": [
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128
],
"parameters": {},
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},
{
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{
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{
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{
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}よくある質問
このワークフローの使い方は？
上記のJSON設定コードをコピーし、n8nインスタンスで新しいワークフローを作成して「JSONからインポート」を選択、設定を貼り付けて認証情報を必要に応じて変更してください。
このワークフローはどんな場面に適していますか？
上級 - コンテンツ作成, マルチモーダルAI
有料ですか？
このワークフローは完全無料です。ただし、ワークフローで使用するサードパーティサービス（OpenAI APIなど）は別途料金が発生する場合があります。
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難易度
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ノード数51
カテゴリー2
ノードタイプ19
作成者
Muhammad Asadullah
@asadtechI am a Data Scientist, and Generative AI Developer with expertise in building AI applications, chatbots, and automation systems. Skilled in Python, R, and no-code/low-code platforms like n8n and Make, I combine strong technical knowledge in machine learning and NLP with hands-on experience in power systems, transformers, and solar design.
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