Extraction de données structurées de HackerNews, export vers Google Docs via Google Gemini

Avancé

Ceci est unMarket Research, AI Summarizationworkflow d'automatisation du domainecontenant 16 nœuds.Utilise principalement des nœuds comme Set, GoogleDocs, HackerNews, HttpRequest, ManualTrigger. Extraire et convertir les données HackerNews en documents Google avec Gemini 2.0 Flash

Prérequis
  • Peut nécessiter les informations d'identification d'authentification de l'API cible
  • Clé API Google Gemini
Aperçu du workflow
Visualisation des connexions entre les nœuds, avec support du zoom et du déplacement
Exporter le workflow
Copiez la configuration JSON suivante dans n8n pour importer et utiliser ce workflow
{
  "id": "qgOiQsPSKD08eiB3",
  "meta": {
    "instanceId": "885b4fb4a6a9c2cb5621429a7b972df0d05bb724c20ac7dac7171b62f1c7ef40",
    "templateCredsSetupCompleted": true
  },
  "name": "Extract Structured Data from HackerNews, Export to Google Docs with Google Gemini",
  "tags": [
    {
      "id": "Kujft2FOjmOVQAmJ",
      "name": "Engineering",
      "createdAt": "2025-04-09T01:31:00.558Z",
      "updatedAt": "2025-04-09T01:31:00.558Z"
    },
    {
      "id": "ZOwtAMLepQaGW76t",
      "name": "Building Blocks",
      "createdAt": "2025-04-13T15:23:40.462Z",
      "updatedAt": "2025-04-13T15:23:40.462Z"
    },
    {
      "id": "ddPkw7Hg5dZhQu2w",
      "name": "AI",
      "createdAt": "2025-04-13T05:38:08.053Z",
      "updatedAt": "2025-04-13T05:38:08.053Z"
    }
  ],
  "nodes": [
    {
      "id": "2f6e390d-47d2-46c0-b032-00e1541a8def",
      "name": "Lors du clic sur 'Exécuter le workflow'",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        -380,
        0
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "da17296e-a0b0-423f-8f6a-6636f77ff79e",
      "name": "Hacker News",
      "type": "n8n-nodes-base.hackerNews",
      "position": [
        60,
        0
      ],
      "parameters": {
        "limit": "={{ $json.Count }}",
        "resource": "all",
        "additionalFields": {}
      },
      "typeVersion": 1
    },
    {
      "id": "8481d533-2ef1-4e97-afe1-8f182d17b390",
      "name": "Boucler sur les éléments",
      "type": "n8n-nodes-base.splitInBatches",
      "position": [
        280,
        0
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 3
    },
    {
      "id": "5d88db37-0e3b-4900-af10-78a4f7152231",
      "name": "Google Gemini Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        940,
        240
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.0-flash-exp"
      },
      "credentials": {
        "googlePalmApi": {
          "id": "YeO7dHZnuGBVQKVZ",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "0fcf5b56-87f8-4dca-9478-7f0753c195e7",
      "name": "Créer un document Google",
      "type": "n8n-nodes-base.googleDocs",
      "position": [
        1320,
        20
      ],
      "parameters": {
        "title": "={{ $('Set the url, author').item.json.author }}-HackerNews",
        "folderId": "default"
      },
      "credentials": {
        "googleDocsOAuth2Api": {
          "id": "39XPsztp1DX0svZQ",
          "name": "Google Docs account"
        }
      },
      "executeOnce": false,
      "retryOnFail": true,
      "typeVersion": 2,
      "alwaysOutputData": false
    },
    {
      "id": "2855e7e7-ea99-4acc-901a-54bffa7b3113",
      "name": "Mettre à jour les documents Google",
      "type": "n8n-nodes-base.googleDocs",
      "position": [
        1500,
        20
      ],
      "parameters": {
        "actionsUi": {
          "actionFields": [
            {
              "text": "={{ $('Extract Human Readable Data').item.json.text }}",
              "action": "insert"
            }
          ]
        },
        "operation": "update",
        "documentURL": "={{ $json.id }}"
      },
      "credentials": {
        "googleDocsOAuth2Api": {
          "id": "39XPsztp1DX0svZQ",
          "name": "Google Docs account"
        }
      },
      "typeVersion": 2
    },
    {
      "id": "ef59d4a1-4176-4702-996d-5a710b432b4b",
      "name": "Définir les champs de saisie",
      "type": "n8n-nodes-base.set",
      "position": [
        -160,
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      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "52ddafbb-536f-45d6-9697-7ddf5b9b3869",
              "name": "Count",
              "type": "string",
              "value": "5"
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          ]
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      },
      "typeVersion": 3.4
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    {
      "id": "aa74a371-94cf-4a0b-93d9-fd503f1abbed",
      "name": "Note adhésive",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      "parameters": {
        "content": "## Step 1\n\nSet the input field with the \"Count\", how many record needs to be feteched."
      },
      "typeVersion": 1
    },
    {
      "id": "79674295-f331-4e5b-81d4-09d45aedb883",
      "name": "Note adhésive1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        460,
        -320
      ],
      "parameters": {
        "content": "## Step 2\n\nSet the Google Gemini Credentials as part of the human readable data extraction"
      },
      "typeVersion": 1
    },
    {
      "id": "80ed14eb-6ead-46d8-81d0-5502cb5f44db",
      "name": "Extraire des données lisibles par un humain",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
        980,
        20
      ],
      "parameters": {
        "text": "=Extract a human readable content. \n\nHere's the context :\n\n{{ $json.data }}",
        "batching": {},
        "promptType": "define"
      },
      "retryOnFail": true,
      "typeVersion": 1.7
    },
    {
      "id": "d922ad6e-0959-465f-810f-3f0e8d8a3626",
      "name": "Note adhésive2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -360,
        -400
      ],
      "parameters": {
        "color": 6,
        "width": 540,
        "height": 240,
        "content": "## Extract Structured Data from Hacker News, Export to Google Docs with Google Gemini\n\nHacker news data extraction with Google Gemini. Export the clean data to Google Document."
      },
      "typeVersion": 1
    },
    {
      "id": "79f3eca6-df7d-4e72-816e-b17452f476b5",
      "name": "Note adhésive3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        720,
        -320
      ],
      "parameters": {
        "content": "## Step 3\n\nSet the Google Document Credentials for the Hacker News data export"
      },
      "typeVersion": 1
    },
    {
      "id": "b3cfee88-735c-4474-b7c0-75511d44e26c",
      "name": "Note adhésive4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        200,
        -140
      ],
      "parameters": {
        "color": 5,
        "width": 1060,
        "height": 520,
        "content": "## Hacker News Data Extraction"
      },
      "typeVersion": 1
    },
    {
      "id": "36302c89-82a4-4098-9ca6-7822bb4d6c33",
      "name": "Note adhésive5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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        -140
      ],
      "parameters": {
        "color": 3,
        "width": 540,
        "height": 120,
        "content": "## LLM Usages\n\nGoogle Gemini -> Gemini 2.0 Flash Exp Model"
      },
      "typeVersion": 1
    },
    {
      "id": "80c3a993-6c82-43c9-9612-e20e989012ef",
      "name": "Définir l'url, l'auteur",
      "type": "n8n-nodes-base.set",
      "position": [
        500,
        20
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "267f21f5-d483-4e74-9773-b1d8a02dd984",
              "name": "author",
              "type": "string",
              "value": "={{ $json.author }}"
            },
            {
              "id": "667a3ffb-a07c-4f66-b253-a7c64b2aa8e0",
              "name": "url",
              "type": "string",
              "value": "={{ $json._highlightResult.url.value }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "ad6eb942-17a1-48af-9d41-f728c9127106",
      "name": "Créer une requête HTTP",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        720,
        20
      ],
      "parameters": {
        "url": "={{ $json.url }}",
        "options": {}
      },
      "retryOnFail": true,
      "typeVersion": 4.2,
      "alwaysOutputData": true
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "640bfa35-72c3-4d4d-8e38-a98fee2248e9",
  "connections": {
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    "5d88db37-0e3b-4900-af10-78a4f7152231": {
      "ai_languageModel": [
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    }
  }
}
Foire aux questions

Comment utiliser ce workflow ?

Copiez le code de configuration JSON ci-dessus, créez un nouveau workflow dans votre instance n8n et sélectionnez "Importer depuis le JSON", collez la configuration et modifiez les paramètres d'authentification selon vos besoins.

Dans quelles scénarios ce workflow est-il adapté ?

Avancé - Étude de marché, Résumé IA

Est-ce payant ?

Ce workflow est entièrement gratuit et peut être utilisé directement. Veuillez noter que les services tiers utilisés dans le workflow (comme l'API OpenAI) peuvent nécessiter un paiement de votre part.

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Informations sur le workflow
Niveau de difficulté
Avancé
Nombre de nœuds16
Catégorie2
Types de nœuds9
Description de la difficulté

Adapté aux utilisateurs avancés, avec des workflows complexes contenant 16+ nœuds

Auteur
Ranjan Dailata

Ranjan Dailata

@ranjancse

A Professional based out of India specialized in handling AI-powered automations. Contact me at ranjancse@gmail.com

Liens externes
Voir sur n8n.io

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Catégories

Catégories: 34