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Workflow n8n

Automatisation YouTube avec n8n : recherche et rapports d'utilisation

Ce workflow n8n a pour objectif d'automatiser la recherche de vidéos YouTube et la génération de rapports d'utilisation. Dans un contexte où les entreprises cherchent à optimiser leur présence sur YouTube, ce workflow permet de récupérer des données pertinentes sur les vidéos et d'analyser les métriques d'utilisation. Les cas d'usage incluent la surveillance des performances des vidéos, l'identification des tendances et l'amélioration de la stratégie de contenu.

  • Étape 1 : le workflow est déclenché par un autre workflow via le nœud 'When Executed by Another Workflow'.
  • Étape 2 : une opération de filtrage est effectuée avec le nœud 'Operation', permettant de définir des règles spécifiques.
  • Étape 3 : plusieurs nœuds de type 'Sticky Note' sont utilisés pour stocker des informations intermédiaires.
  • Étape 4 : les nœuds 'Youtube Search' et 'Youtube Transcripts' exécutent des recherches et récupèrent des transcriptions de vidéos.
  • Étape 5 : les résultats sont simplifiés et agrégés à l'aide des nœuds 'Simplify Search Results' et 'Aggregate Search Results'.
  • Étape 6 : les métriques d'utilisation sont obtenues via des requêtes HTTP et simplifiées pour une meilleure lisibilité. Ce workflow offre une valeur ajoutée significative en permettant aux utilisateurs de gagner du temps dans la collecte et l'analyse des données YouTube, tout en réduisant les risques d'erreurs manuelles.
Tags clés :YouTubeautomatisationn8nanalyticsdata
🎯Pour qui ?🧩Problème résolu📋Étapes du flux🛠Guide de personnalisation
Catégorie: Webhook · Tags: YouTube, automatisation, n8n, analytics, data❤ 0

Workflow n8n YouTube, analytics, data : vue d'ensemble

Schéma des nœuds et connexions de ce workflow n8n, généré à partir du JSON n8n.

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Workflow n8n YouTube, analytics, data : détail des nœuds

  • When Executed by Another Workflow

    Ce noeud déclenche l'exécution d'un autre workflow.

  • Operation

    Ce noeud permet de définir des conditions pour diriger le flux de travail en fonction des règles spécifiées.

  • Sticky Note

    Ce noeud crée une note autocollante avec des paramètres de couleur, de taille et de contenu.

  • Sticky Note1

    Ce noeud génère une autre note autocollante avec des spécifications similaires.

  • Sticky Note3

    Ce noeud crée une note autocollante supplémentaire, mais sans contenu spécifié.

  • Youtube Transcripts

    Ce noeud exécute un workflow pour obtenir des transcriptions de vidéos YouTube.

  • Youtube Search

    Ce noeud exécute un workflow pour effectuer une recherche sur YouTube.

  • Apify Youtube Search

    Ce noeud envoie une requête HTTP pour effectuer une recherche sur YouTube via l'API Apify.

  • Simplify Search Results

    Ce noeud simplifie les résultats de recherche en définissant des options et des affectations.

  • Apify Youtube Transcripts

    Ce noeud envoie une requête HTTP pour obtenir des transcriptions de vidéos YouTube via l'API Apify.

  • Simplify Transcript Results

    Ce noeud simplifie les résultats de transcription en appliquant des options et des affectations.

  • Aggregate Search Results

    Ce noeud agrège les résultats de recherche selon les options et les paramètres spécifiés.

  • Aggregate Transcript Results

    Ce noeud agrège les résultats de transcription en utilisant les options et les paramètres fournis.

  • Simplify Usage Metrics

    Ce noeud simplifie les métriques d'utilisation en appliquant des options et des affectations.

  • Get Usage Limits

    Ce noeud envoie une requête HTTP pour obtenir les limites d'utilisation via l'API.

  • Usage Report

    Ce noeud exécute un workflow pour générer un rapport d'utilisation.

  • Get Usage Metrics

    Ce noeud envoie une requête HTTP pour obtenir des métriques d'utilisation via l'API.

  • Apify Youtube MCP Server

    Ce noeud déclenche un workflow MCP pour le serveur YouTube d'Apify.

  • Sticky Note2

    Ce noeud crée une note autocollante avec des spécifications de taille et de contenu.

  • Sticky Note4

    Ce noeud génère une note autocollante avec des spécifications de taille.

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{
  "meta": {
    "instanceId": "408f9fb9940c3cb18ffdef0e0150fe342d6e655c3a9fac21f0f644e8bedabcd9",
    "templateCredsSetupCompleted": true
  },
  "nodes": [
    {
      "id": "aef123fd-3481-4708-ae85-684529e4f05f",
      "name": "When Executed by Another Workflow",
      "type": "n8n-nodes-base.executeWorkflowTrigger",
      "position": [
        340,
        300
      ],
      "parameters": {
        "workflowInputs": {
          "values": [
            {
              "name": "operation"
            },
            {
              "name": "query"
            },
            {
              "name": "urls"
            }
          ]
        }
      },
      "typeVersion": 1.1
    },
    {
      "id": "d77e695b-8340-4715-9862-b6428d7d12e4",
      "name": "Operation",
      "type": "n8n-nodes-base.switch",
      "position": [
        580,
        300
      ],
      "parameters": {
        "rules": {
          "values": [
            {
              "outputKey": "Youtube Search",
              "conditions": {
                "options": {
                  "version": 2,
                  "leftValue": "",
                  "caseSensitive": true,
                  "typeValidation": "strict"
                },
                "combinator": "and",
                "conditions": [
                  {
                    "id": "81b134bc-d671-4493-b3ad-8df9be3f49a6",
                    "operator": {
                      "type": "string",
                      "operation": "equals"
                    },
                    "leftValue": "={{ $json.operation }}",
                    "rightValue": "youtube_search"
                  }
                ]
              },
              "renameOutput": true
            },
            {
              "outputKey": "Youtube Transcripts",
              "conditions": {
                "options": {
                  "version": 2,
                  "leftValue": "",
                  "caseSensitive": true,
                  "typeValidation": "strict"
                },
                "combinator": "and",
                "conditions": [
                  {
                    "id": "8d57914f-6587-4fb3-88e0-aa1de6ba56c1",
                    "operator": {
                      "name": "filter.operator.equals",
                      "type": "string",
                      "operation": "equals"
                    },
                    "leftValue": "={{ $json.operation }}",
                    "rightValue": "youtube_transcripts"
                  }
                ]
              },
              "renameOutput": true
            },
            {
              "outputKey": "Usage Metrics",
              "conditions": {
                "options": {
                  "version": 2,
                  "leftValue": "",
                  "caseSensitive": true,
                  "typeValidation": "strict"
                },
                "combinator": "and",
                "conditions": [
                  {
                    "id": "7c38f238-213a-46ec-aefe-22e0bcb8dffc",
                    "operator": {
                      "name": "filter.operator.equals",
                      "type": "string",
                      "operation": "equals"
                    },
                    "leftValue": "={{ $json.operation }}",
                    "rightValue": "usage_metrics"
                  }
                ]
              },
              "renameOutput": true
            }
          ]
        },
        "options": {}
      },
      "typeVersion": 3.2
    },
    {
      "id": "b2d3e630-9664-481e-b250-9d5a3ff065ee",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -440,
        -100
      ],
      "parameters": {
        "color": 7,
        "width": 680,
        "height": 660,
        "content": "## 1. Set up an MCP Server Trigger\n[Read more about the MCP Server Trigger](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-langchain.mcptrigger)"
      },
      "typeVersion": 1
    },
    {
      "id": "6facfbdf-bc66-4652-8ae6-a1513962fe2e",
      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        260,
        -100
      ],
      "parameters": {
        "color": 7,
        "width": 1240,
        "height": 820,
        "content": "## 2. [APIFY.com](https://www.apify.com?fpr=414q6) for Easy Youtube Search and Transcripts\n[Sign up for Apify.com using 20JIMLEUK for 20% discount](https://www.apify.com?fpr=414q6)\n\nI've used Apify's Youtube scrapers a couple of times already and I find them quite fast and dependable for production use-cases.\nI particularly like that my workflows don't break when I inevitably hit the official Youtube rate limits which are quite low.\nFor this MCP server, I'm using the following youtube scraper for search and downloading transcripts: [https://apify.com/streamers/youtube-scraper](https://apify.com/streamers/youtube-scraper?fpr=414q6)"
      },
      "typeVersion": 1
    },
    {
      "id": "3473a800-6bdc-412d-82f2-aa5befd2dfe4",
      "name": "Sticky Note3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -440,
        -220
      ],
      "parameters": {
        "color": 5,
        "width": 380,
        "height": 100,
        "content": "### Always Authenticate Your Server!\nBefore going to production, it's always advised to enable authentication on your MCP server trigger."
      },
      "typeVersion": 1
    },
    {
      "id": "adddb2c3-5823-426e-bd10-4ae2f3ed0f8c",
      "name": "Youtube Transcripts",
      "type": "@n8n/n8n-nodes-langchain.toolWorkflow",
      "position": [
        0,
        280
      ],
      "parameters": {
        "name": "youtube_transcripts",
        "workflowId": {
          "__rl": true,
          "mode": "id",
          "value": "={{ $workflow.id }}"
        },
        "description": "Fetch the transcript from a youtube video using the youtube video url.",
        "workflowInputs": {
          "value": {
            "urls": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('urls', ``, 'string') }}",
            "query": "null",
            "operation": "youtube_transcripts"
          },
          "schema": [
            {
              "id": "operation",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "operation",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "query",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "query",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "urls",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "urls",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            }
          ],
          "mappingMode": "defineBelow",
          "matchingColumns": [],
          "attemptToConvertTypes": false,
          "convertFieldsToString": false
        }
      },
      "typeVersion": 2.1
    },
    {
      "id": "bce90f0f-a0d8-4e43-98f2-70426b28759d",
      "name": "Youtube Search",
      "type": "@n8n/n8n-nodes-langchain.toolWorkflow",
      "position": [
        -280,
        280
      ],
      "parameters": {
        "name": "websearch_contents",
        "workflowId": {
          "__rl": true,
          "mode": "id",
          "value": "={{ $workflow.id }}"
        },
        "description": "Performs a youtube search and retrieves relevant videos with metadata only.",
        "workflowInputs": {
          "value": {
            "urls": "null",
            "query": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('query', ``, 'string') }}",
            "operation": "youtube_search"
          },
          "schema": [
            {
              "id": "operation",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "operation",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "query",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "query",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "urls",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "urls",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            }
          ],
          "mappingMode": "defineBelow",
          "matchingColumns": [],
          "attemptToConvertTypes": false,
          "convertFieldsToString": false
        }
      },
      "typeVersion": 2.1
    },
    {
      "id": "42cb7bd5-bdb4-40d4-9f69-d49fe066aaa2",
      "name": "Apify Youtube Search",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        860,
        100
      ],
      "parameters": {
        "url": "https://api.apify.com/v2/acts/streamers~youtube-scraper/run-sync-get-dataset-items",
        "options": {},
        "jsonBody": "={{\n{\n  \"searchQueries\": [$json.query],\n  \"maxResultStreams\": 0,\n  \"maxResults\": 5\n}\n}}",
        "sendBody": true,
        "specifyBody": "json",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth"
      },
      "credentials": {
        "httpHeaderAuth": {
          "id": "SV9BDKc1cRbZBeoL",
          "name": "Apify.com (personal token)"
        }
      },
      "executeOnce": true,
      "typeVersion": 4.2
    },
    {
      "id": "ea57908b-f927-466c-86ff-2265a5ee001a",
      "name": "Simplify Search Results",
      "type": "n8n-nodes-base.set",
      "position": [
        1060,
        100
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "9d1db837-e256-4124-80d1-8b103dbbefbb",
              "name": "channelName",
              "type": "string",
              "value": "={{ $json.channelName }}"
            },
            {
              "id": "94cebccb-b499-4fab-a1ff-187179dcd5ce",
              "name": "title",
              "type": "string",
              "value": "={{ $json.title }}"
            },
            {
              "id": "cc68698a-221a-49b8-a349-d16ad4fa746c",
              "name": "url",
              "type": "string",
              "value": "={{ $json.url }}"
            },
            {
              "id": "de8ae3e0-685d-4e40-839f-13c798d4e5e2",
              "name": "description",
              "type": "string",
              "value": "={{ $json.text.substr(0,2_000) }}"
            },
            {
              "id": "e933cbca-486c-45c9-8ed0-89a3d1efe003",
              "name": "viewCount",
              "type": "number",
              "value": "={{ $json.viewCount }}"
            },
            {
              "id": "417846bb-5e8c-42af-b1dc-8b1de9fa426c",
              "name": "likes",
              "type": "number",
              "value": "={{ $json.likes }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "aed4a7c8-f41e-4e14-90c9-4e298465e7f4",
      "name": "Apify Youtube Transcripts",
      "type": "n8n-nodes-base.httpRequest",
      "maxTries": 2,
      "position": [
        860,
        300
      ],
      "parameters": {
        "url": "https://api.apify.com/v2/acts/streamers~youtube-scraper/run-sync-get-dataset-items",
        "options": {},
        "jsonBody": "={{\n{\n  \"downloadSubtitles\": true,\n  \"hasCC\": false,\n  \"hasLocation\": false,\n  \"hasSubtitles\": false,\n  \"is360\": false,\n  \"is3D\": false,\n  \"is4K\": false,\n  \"isBought\": false,\n  \"isHD\": false,\n  \"isHDR\": false,\n  \"isLive\": false,\n  \"isVR180\": false,\n  \"maxResultStreams\": 0,\n  \"maxResults\": 1,\n  \"maxResultsShorts\": 0,\n  \"preferAutoGeneratedSubtitles\": false,\n  \"saveSubsToKVS\": false,\n  \"startUrls\": $json.urls.split(',').map(url => ({\n    \"url\": url,\n    \"method\": \"GET\"\n  })),\n  \"subtitlesFormat\": \"plaintext\",\n  \"subtitlesLanguage\": \"en\"\n}\n}}",
        "sendBody": true,
        "specifyBody": "json",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth"
      },
      "credentials": {
        "httpHeaderAuth": {
          "id": "SV9BDKc1cRbZBeoL",
          "name": "Apify.com (personal token)"
        }
      },
      "retryOnFail": true,
      "typeVersion": 4.2,
      "waitBetweenTries": 5000
    },
    {
      "id": "a73c672c-c36a-4ac0-bb0f-a87ed4dd9329",
      "name": "Simplify Transcript Results",
      "type": "n8n-nodes-base.set",
      "position": [
        1060,
        300
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "94cebccb-b499-4fab-a1ff-187179dcd5ce",
              "name": "title",
              "type": "string",
              "value": "={{ $json.title }}"
            },
            {
              "id": "cc68698a-221a-49b8-a349-d16ad4fa746c",
              "name": "url",
              "type": "string",
              "value": "={{ $json.url }}"
            },
            {
              "id": "7501fe60-f43d-42fe-9087-6f70a1cf12af",
              "name": "transcript",
              "type": "string",
              "value": "={{ $json.subtitles[0].plaintext }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "c62ef6f9-6a81-4f00-aa68-433e3378e6ff",
      "name": "Aggregate Search Results",
      "type": "n8n-nodes-base.aggregate",
      "position": [
        1260,
        100
      ],
      "parameters": {
        "options": {},
        "aggregate": "aggregateAllItemData",
        "destinationFieldName": "response"
      },
      "typeVersion": 1
    },
    {
      "id": "53f6c967-bca1-4322-9939-7e0078ef99ed",
      "name": "Aggregate Transcript Results",
      "type": "n8n-nodes-base.aggregate",
      "position": [
        1260,
        300
      ],
      "parameters": {
        "options": {},
        "aggregate": "aggregateAllItemData",
        "destinationFieldName": "response"
      },
      "typeVersion": 1
    },
    {
      "id": "04590cf0-38e5-4113-abb8-14c141524b1c",
      "name": "Simplify Usage Metrics",
      "type": "n8n-nodes-base.set",
      "position": [
        1260,
        500
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "ff43aa98-4e32-478d-9e43-619b7b808948",
              "name": "monthlyUsageCycle_startAt",
              "type": "string",
              "value": "={{ $json.data.monthlyUsageCycle.startAt }}"
            },
            {
              "id": "145eefd3-5248-40e9-a988-9e0e578d930a",
              "name": "monthlyUsageCycle_endAt",
              "type": "string",
              "value": "={{ $json.data.monthlyUsageCycle.endAt }}"
            },
            {
              "id": "020d1e4f-d7ec-4d69-b9be-b6c4ba5971eb",
              "name": "monthlyUsageUsd",
              "type": "string",
              "value": "={{ $json.data.current.monthlyUsageUsd.toFixed(2) }} of {{ $json.data.limits.maxMonthlyUsageUsd.toFixed(2) }}"
            },
            {
              "id": "112fb245-b35b-45ce-ad29-e05d0f352010",
              "name": "ACTOR_COMPUTE_UNITS",
              "type": "number",
              "value": "={{ $('Get Usage Metrics').item.json.data.monthlyServiceUsage.ACTOR_COMPUTE_UNITS.amountAfterVolumeDiscountUsd }}"
            },
            {
              "id": "4b451afb-eba7-49c6-8c3c-7279fb315ec6",
              "name": "DATASET_READS",
              "type": "number",
              "value": "={{ $('Get Usage Metrics').item.json.data.monthlyServiceUsage.DATASET_READS.amountAfterVolumeDiscountUsd }}"
            },
            {
              "id": "c002234c-955e-41f4-a27f-7f031ae6111e",
              "name": "DATASET_TIMED_STORAGE_GBYTE_HOURS",
              "type": "number",
              "value": "={{ $('Get Usage Metrics').item.json.data.monthlyServiceUsage.DATASET_TIMED_STORAGE_GBYTE_HOURS.amountAfterVolumeDiscountUsd }}"
            },
            {
              "id": "0108085d-1bb4-44c5-bc3b-845a7206abfe",
              "name": "DATASET_WRITES",
              "type": "number",
              "value": "={{ $('Get Usage Metrics').item.json.data.monthlyServiceUsage.DATASET_WRITES.amountAfterVolumeDiscountUsd }}"
            },
            {
              "id": "df993499-7410-450c-b5b1-50052e6d061e",
              "name": "DATA_TRANSFER_EXTERNAL_GBYTES",
              "type": "number",
              "value": "={{ $('Get Usage Metrics').item.json.data.monthlyServiceUsage.DATA_TRANSFER_EXTERNAL_GBYTES.amountAfterVolumeDiscountUsd }}"
            },
            {
              "id": "1627a2dd-15a6-4b69-b480-4e1b792c403d",
              "name": "DATA_TRANSFER_INTERNAL_GBYTES",
              "type": "number",
              "value": "={{ $('Get Usage Metrics').item.json.data.monthlyServiceUsage.DATA_TRANSFER_INTERNAL_GBYTES.amountAfterVolumeDiscountUsd }}"
            },
            {
              "id": "73037e97-e43d-4ecd-bb7e-6c5ce4740e4d",
              "name": "KEY_VALUE_STORE_READS",
              "type": "number",
              "value": "={{ $('Get Usage Metrics').item.json.data.monthlyServiceUsage.KEY_VALUE_STORE_READS.amountAfterVolumeDiscountUsd }}"
            },
            {
              "id": "5de9ba3b-bf62-4525-9cd9-5008bafe73c5",
              "name": "KEY_VALUE_STORE_TIMED_STORAGE_GBYTE_HOURS",
              "type": "number",
              "value": "={{ $('Get Usage Metrics').item.json.data.monthlyServiceUsage.KEY_VALUE_STORE_TIMED_STORAGE_GBYTE_HOURS.amountAfterVolumeDiscountUsd }}"
            },
            {
              "id": "6d1997f2-46c0-468b-b50f-fc37512417d2",
              "name": "KEY_VALUE_STORE_WRITES",
              "type": "number",
              "value": "={{ $('Get Usage Metrics').item.json.data.monthlyServiceUsage.KEY_VALUE_STORE_WRITES.amountAfterVolumeDiscountUsd }}"
            },
            {
              "id": "b579cb9e-d18f-4877-b808-a177195a364a",
              "name": "PAID_ACTORS_PER_DATASET_ITEM",
              "type": "number",
              "value": "={{ $('Get Usage Metrics').item.json.data.monthlyServiceUsage.PAID_ACTORS_PER_DATASET_ITEM.amountAfterVolumeDiscountUsd }}"
            },
            {
              "id": "5c69831c-3c62-421d-afff-bd8cfb68fb29",
              "name": "REQUEST_QUEUE_READS",
              "type": "number",
              "value": "={{ $('Get Usage Metrics').item.json.data.monthlyServiceUsage.REQUEST_QUEUE_READS.amountAfterVolumeDiscountUsd }}"
            },
            {
              "id": "21d54d4d-515b-4fa7-b099-c8b193fc4436",
              "name": "=REQUEST_QUEUE_TIMED_STORAGE_GBYTE_HOURS",
              "type": "number",
              "value": "={{ $('Get Usage Metrics').item.json.data.monthlyServiceUsage.REQUEST_QUEUE_TIMED_STORAGE_GBYTE_HOURS.amountAfterVolumeDiscountUsd }}"
            },
            {
              "id": "68168fc6-0052-4fa6-b631-942d972af340",
              "name": "REQUEST_QUEUE_WRITES",
              "type": "number",
              "value": "={{ $('Get Usage Metrics').item.json.data.monthlyServiceUsage.REQUEST_QUEUE_WRITES.amountAfterVolumeDiscountUsd }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "dee72606-aeea-41bf-97e3-037afbd03efc",
      "name": "Get Usage Limits",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1060,
        500
      ],
      "parameters": {
        "url": "https://api.apify.com/v2/users/me/limits",
        "options": {},
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth"
      },
      "credentials": {
        "httpHeaderAuth": {
          "id": "SV9BDKc1cRbZBeoL",
          "name": "Apify.com (personal token)"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "49715bf8-56a9-41ee-a756-eb05ea4f1e7d",
      "name": "Usage Report",
      "type": "@n8n/n8n-nodes-langchain.toolWorkflow",
      "position": [
        -140,
        400
      ],
      "parameters": {
        "name": "Apfiy_Usage_Metrics",
        "workflowId": {
          "__rl": true,
          "mode": "id",
          "value": "={{ $workflow.id }}"
        },
        "description": "Returns current month's usage metrics.",
        "workflowInputs": {
          "value": {
            "urls": "null",
            "query": "null",
            "operation": "=usage_report"
          },
          "schema": [
            {
              "id": "operation",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "operation",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "query",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "query",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "urls",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "urls",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            }
          ],
          "mappingMode": "defineBelow",
          "matchingColumns": [],
          "attemptToConvertTypes": false,
          "convertFieldsToString": false
        }
      },
      "typeVersion": 2.1
    },
    {
      "id": "737eca46-cb1f-443f-8243-33d429f0bfe3",
      "name": "Get Usage Metrics",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        860,
        500
      ],
      "parameters": {
        "url": "https://api.apify.com/v2/users/me/usage/monthly",
        "options": {},
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth"
      },
      "credentials": {
        "httpHeaderAuth": {
          "id": "SV9BDKc1cRbZBeoL",
          "name": "Apify.com (personal token)"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "90da2c29-a1fc-4772-a271-602cdd14b679",
      "name": "Apify Youtube MCP Server",
      "type": "@n8n/n8n-nodes-langchain.mcpTrigger",
      "position": [
        -300,
        60
      ],
      "webhookId": "b975bb25-be7c-49fb-8cd2-8e135d91ed4e",
      "parameters": {
        "path": "b975bb25-be7c-49fb-8cd2-8e135d91ed4e"
      },
      "typeVersion": 1
    },
    {
      "id": "b427a01f-099d-43f8-8b8d-04186a5d330e",
      "name": "Sticky Note2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -960,
        -460
      ],
      "parameters": {
        "width": 480,
        "height": 1020,
        "content": "## Try It Out!\n### This n8n demonstrates how to build a simple Youtube Search MCP server to look up videos on Youtube and download their transcripts for research purposes.\n\n### How it works\n* A MCP server trigger is used and connected to 3 custom workflow tools: Youtube Search, Youtube Transcripts and Usage Reports.\n* Both Youtube tools use an external scraping service called [APIFY.com](https://www.apify.com?fpr=414q6). This is my preference as it's a much simpler interface and there are no rate limits.  \n* The Youtube Search fetches 10 results based on the user's query.\n* The Youtube Transcripts downloads the subtitles from one or more given urls.\n* The usage reports pulls in your monthly [APIFY.com](https://www.apify.com?fpr=414q6) monthly spending and limits as a way to check your account.\n\n### How to use\n* This Apify Youtube MCP server allows any compatible MCP client to research youtube videos for any desired topic. An Apify account is required however to connect and use the service.\n* Connect your MCP client by following the n8n guidelines here - https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-langchain.mcptrigger/#integrating-with-claude-desktop\n* Alternatively, connect any n8n AI agent with the MCP client tool.\n* Try the following queries in your MCP client:\n  * \"what is MCP?\"\n  * \"How can I use MCP in n8n?\"\n  * \"How can I use Apify's official MCP server?\"\n\n### Requirements\n* [APIFY.com](https://www.apify.com?fpr=414q6) for Youtube Scraping. This is a paid service but there is a $5 free tier which is ample for this template.\n* MCP Client or Agent for usage such as Claude Desktop - https://claude.ai/download\n\n### Customising this workflow\n* Add as many [APIFY.com](https://www.apify.com?fpr=414q6) actors as required for your use-case or users. Consider using Apify's official MCP server for 4000+ available tools.\n* Remember to set the MCP server to require credentials before going to production and sharing this MCP server with others!"
      },
      "typeVersion": 1
    },
    {
      "id": "e11a8af0-0a53-4b9b-a499-4bbd956858f8",
      "name": "Sticky Note4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        260,
        -360
      ],
      "parameters": {
        "width": 280,
        "height": 240,
        "content": "[![](https://d2gdx5nv84sdx2.cloudfront.net/uploads/35gj8m4w/marketing_asset/banner/13734/Large_rectangle_336x280_Light__1_.png)](https://www.apify.com?fpr=414q6)"
      },
      "typeVersion": 1
    }
  ],
  "pinData": {},
  "connections": {
    "Operation": {
      "main": [
        [
          {
            "node": "Apify Youtube Search",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "Apify Youtube Transcripts",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "Get Usage Metrics",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Usage Report": {
      "ai_tool": [
        [
          {
            "node": "Apify Youtube MCP Server",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Youtube Search": {
      "ai_tool": [
        [
          {
            "node": "Apify Youtube MCP Server",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Get Usage Limits": {
      "main": [
        [
          {
            "node": "Simplify Usage Metrics",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Get Usage Metrics": {
      "main": [
        [
          {
            "node": "Get Usage Limits",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Youtube Transcripts": {
      "ai_tool": [
        [
          {
            "node": "Apify Youtube MCP Server",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Apify Youtube Search": {
      "main": [
        [
          {
            "node": "Simplify Search Results",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Simplify Search Results": {
      "main": [
        [
          {
            "node": "Aggregate Search Results",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Apify Youtube Transcripts": {
      "main": [
        [
          {
            "node": "Simplify Transcript Results",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Simplify Transcript Results": {
      "main": [
        [
          {
            "node": "Aggregate Transcript Results",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "When Executed by Another Workflow": {
      "main": [
        [
          {
            "node": "Operation",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}

Workflow n8n YouTube, analytics, data : pour qui est ce workflow ?

Ce workflow s'adresse aux équipes marketing, aux créateurs de contenu et aux entreprises souhaitant optimiser leur stratégie sur YouTube. Il est adapté aux utilisateurs ayant un niveau technique intermédiaire et peut être utilisé par des organisations de toutes tailles.

Workflow n8n YouTube, analytics, data : problème résolu

Ce workflow résout le problème de la collecte manuelle des données YouTube, qui peut être chronophage et sujette à des erreurs. En automatisant la recherche et l'analyse des vidéos, les utilisateurs peuvent se concentrer sur l'élaboration de stratégies basées sur des données fiables. Les résultats concrets incluent des rapports d'utilisation précis et une meilleure compréhension des performances des vidéos.

Workflow n8n YouTube, analytics, data : étapes du workflow

Étape 1 : le workflow est déclenché par un autre workflow.

  • Étape 1 : une opération de filtrage est effectuée pour définir les règles de recherche.
  • Étape 2 : des notes autocollantes sont créées pour stocker des informations.
  • Étape 3 : des recherches YouTube sont effectuées pour récupérer des vidéos et leurs transcriptions.
  • Étape 4 : les résultats de recherche sont simplifiés et agrégés.
  • Étape 5 : les métriques d'utilisation sont obtenues et simplifiées pour une analyse facile.

Workflow n8n YouTube, analytics, data : guide de personnalisation

Pour personnaliser ce workflow, modifiez les paramètres des nœuds 'Youtube Search' et 'Youtube Transcripts' pour affiner vos recherches. Vous pouvez également ajuster les règles dans le nœud 'Operation' pour cibler des vidéos spécifiques. Pour intégrer d'autres outils, envisagez d'ajouter des nœuds HTTP pour des API externes. Assurez-vous de sécuriser vos requêtes HTTP en utilisant des authentifications appropriées.