Workflow n8n

Automatisation Google Analytics avec n8n : analyse des données hebdomadaires

Ce workflow n8n est conçu pour automatiser l'analyse des données de Google Analytics, permettant aux utilisateurs de suivre les performances de leur site web de manière hebdomadaire. Dans un contexte où la compréhension des comportements des utilisateurs est cruciale pour les entreprises, ce workflow s'avère être un outil précieux pour les équipes marketing et les analystes de données. Grâce à cette automatisation n8n, les utilisateurs peuvent facilement récupérer des statistiques d'engagement, des résultats de recherche et des données de vues par pays, le tout sans intervention manuelle.

  • Étape 1 : le workflow est déclenché par un planificateur (Schedule Trigger) qui exécute le processus à des intervalles définis.
  • Étape 2 : il récupère les statistiques d'engagement de la semaine en cours et de la semaine précédente via des appels à l'API de Google Analytics.
  • Étape 3 : les données sont ensuite analysées et formatées à l'aide de plusieurs nœuds de code pour extraire des informations pertinentes.
  • Étape 4 : les résultats sont envoyés à une intelligence artificielle pour une analyse plus approfondie. Enfin, les résultats sont sauvegardés dans Baserow, facilitant ainsi leur consultation et leur exploitation ultérieure. Cette automatisation permet de gagner un temps précieux, d'éliminer les erreurs humaines et d'obtenir des insights précieux pour optimiser les stratégies marketing.
Tags clés :Google Analyticsautomatisationn8nanalyse de donnéesperformance web
Catégorie: Scheduled · Tags: Google Analytics, automatisation, n8n, analyse de données, performance web0

Workflow n8n Google Analytics, analyse de données, performance web : vue d'ensemble

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

Workflow n8n Google Analytics, analyse de données, performance web : détail des nœuds

  • Schedule Trigger

    Déclenche le workflow selon une règle de planification définie.

  • When clicking ‘Test workflow’

    Déclenche manuellement le workflow lorsque l'utilisateur clique sur 'Test workflow'.

  • Sticky Note

    Affiche une note autocollante avec un contenu et une largeur spécifiés.

  • Sticky Note1

    Affiche une note autocollante avec un contenu, une couleur, une largeur et une hauteur spécifiées.

  • Get Page Engagement Stats for this week

    Récupère les statistiques d'engagement de la page pour la semaine en cours à partir de Google Analytics.

  • Get Page Engagement Stats for prior week

    Récupère les statistiques d'engagement de la page pour la semaine précédente à partir de Google Analytics.

  • Parse data from Google Analytics

    Analyse les données récupérées de Google Analytics à l'aide d'un code JavaScript.

  • Parse GA data

    Analyse les données de Google Analytics à l'aide d'un code JavaScript.

  • Get Google Search Results for this week

    Récupère les résultats de recherche Google pour la semaine en cours à partir de Google Analytics.

  • Get Google Search Results for last week

    Récupère les résultats de recherche Google pour la semaine précédente à partir de Google Analytics.

  • Parse Google Analytics Data

    Analyse les données de Google Analytics à l'aide d'un code JavaScript.

  • Parse Google Analytics Data1

    Analyse les données de Google Analytics à l'aide d'un code JavaScript.

  • Get Country views data for this week

    Récupère les données de vues par pays pour la semaine en cours à partir de Google Analytics.

  • Get Country views data for last week

    Récupère les données de vues par pays pour la semaine précédente à partir de Google Analytics.

  • Parse Google analytics data

    Analyse les données de Google Analytics à l'aide d'un code JavaScript.

  • Parse Google analytics data1

    Analyse les données de Google Analytics à l'aide d'un code JavaScript.

  • Send page data to A.I.

    Envoie les données de la page à une API d'intelligence artificielle via une requête HTTP.

  • Send page Search data to A.I.

    Envoie les données de recherche de la page à une API d'intelligence artificielle via une requête HTTP.

  • Send country view data to A.I.

    Envoie les données de vues par pays à une API d'intelligence artificielle via une requête HTTP.

  • Save A.I. output to Baserow

    Enregistre la sortie de l'intelligence artificielle dans une base de données Baserow.

  • Sticky Note2

    Affiche une note autocollante avec un contenu, une couleur, une largeur et une hauteur spécifiées.

  • Sticky Note3

    Affiche une note autocollante avec un contenu, une couleur, une largeur et une hauteur spécifiées.

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{
  "id": "K3uf8aY8wipScEay",
  "meta": {
    "instanceId": "558d88703fb65b2d0e44613bc35916258b0f0bf983c5d4730c00c424b77ca36a",
    "templateCredsSetupCompleted": true
  },
  "name": "Google analytics template",
  "tags": [],
  "nodes": [
    {
      "id": "6a9fc442-d0a3-48be-8dff-94f8d9cd5cf1",
      "name": "Schedule Trigger",
      "type": "n8n-nodes-base.scheduleTrigger",
      "position": [
        460,
        460
      ],
      "parameters": {
        "rule": {
          "interval": [
            {
              "field": "weeks"
            }
          ]
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "484cbc41-f57d-4c3d-a458-e439d480d290",
      "name": "When clicking ‘Test workflow’",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        460,
        640
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "b1b66e9b-5fea-407b-9c1e-39bd2a9d4a90",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        460,
        100
      ],
      "parameters": {
        "width": 714.172987012987,
        "content": "## Send Google analytics to A.I. and save results to baserow\n\nThis workflow will check for country views, page engagement and google search console results. It will take this week's data and compare it to last week's data.\n\n[You can read more about this workflow here](https://rumjahn.com/how-i-used-a-i-to-be-an-seo-expert-and-analyzed-my-google-analytics-data-in-n8n-and-make-com/)"
      },
      "typeVersion": 1
    },
    {
      "id": "adde29fc-ddb5-4b50-aa78-313ac9ede879",
      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        633.6540259740264,
        320
      ],
      "parameters": {
        "color": 4,
        "width": 2097.92831168831,
        "height": 342.6576623376624,
        "content": "## Property ID\n\n1. Create your [Google Analytics Credentials](https://docs.n8n.io/integrations/builtin/credentials/google/oauth-single-service/?utm_source=n8n_app&utm_medium=credential_settings&utm_campaign=create_new_credentials_modal)\n2. Enter your [property ID](https://developers.google.com/analytics/devguides/reporting/data/v1/property-id)."
      },
      "typeVersion": 1
    },
    {
      "id": "f2fb8535-e81e-4ca1-80df-ee68edba6386",
      "name": "Get Page Engagement Stats for this week",
      "type": "n8n-nodes-base.googleAnalytics",
      "position": [
        700,
        460
      ],
      "parameters": {
        "simple": false,
        "returnAll": true,
        "metricsGA4": {
          "metricValues": [
            {
              "name": "screenPageViews",
              "listName": "other"
            },
            {
              "name": "activeUsers",
              "listName": "other"
            },
            {
              "name": "screenPageViewsPerUser",
              "listName": "other"
            },
            {
              "name": "eventCount",
              "listName": "other"
            }
          ]
        },
        "propertyId": {
          "__rl": true,
          "mode": "id",
          "value": "460520224"
        },
        "dimensionsGA4": {
          "dimensionValues": [
            {
              "name": "unifiedScreenName",
              "listName": "other"
            }
          ]
        },
        "additionalFields": {}
      },
      "credentials": {
        "googleAnalyticsOAuth2": {
          "id": "b1GX8VBMKCUNweV1",
          "name": "Google Analytics account"
        }
      },
      "typeVersion": 2
    },
    {
      "id": "1d761425-cebf-4787-b286-b723a0851485",
      "name": "Get Page Engagement Stats for prior week",
      "type": "n8n-nodes-base.googleAnalytics",
      "position": [
        1060,
        460
      ],
      "parameters": {
        "simple": false,
        "endDate": "2024-10-23T00:00:00",
        "dateRange": "custom",
        "returnAll": true,
        "startDate": "={{$today.minus({days: 14})}}",
        "metricsGA4": {
          "metricValues": [
            {
              "name": "screenPageViews",
              "listName": "other"
            },
            {
              "name": "activeUsers",
              "listName": "other"
            },
            {
              "name": "screenPageViewsPerUser",
              "listName": "other"
            },
            {
              "name": "eventCount",
              "listName": "other"
            }
          ]
        },
        "propertyId": {
          "__rl": true,
          "mode": "id",
          "value": "460520224"
        },
        "dimensionsGA4": {
          "dimensionValues": [
            {
              "name": "unifiedScreenName",
              "listName": "other"
            }
          ]
        },
        "additionalFields": {}
      },
      "typeVersion": 2
    },
    {
      "id": "f8dac36b-9e8a-407f-b923-b4cea368f1bc",
      "name": "Parse data from Google Analytics",
      "type": "n8n-nodes-base.code",
      "position": [
        880,
        460
      ],
      "parameters": {
        "jsCode": "function transformToUrlString(items) {\n // Debug logging\n console.log('Input items:', JSON.stringify(items, null, 2));\n \n // Check if items is an array and has content\n if (!Array.isArray(items) || items.length === 0) {\n console.log('Items is not an array or is empty');\n throw new Error('Invalid data structure');\n }\n\n // Check if first item exists and has json property\n if (!items[0] || !items[0].json) {\n console.log('First item is missing or has no json property');\n throw new Error('Invalid data structure');\n }\n\n // Get the analytics data\n const analyticsData = items[0].json;\n \n // Check if analyticsData has rows\n if (!analyticsData || !Array.isArray(analyticsData.rows)) {\n console.log('Analytics data is missing or has no rows array');\n throw new Error('Invalid data structure');\n }\n \n // Map each row to a simplified object\n const simplified = analyticsData.rows.map(row => {\n if (!row.dimensionValues?.[0]?.value || !row.metricValues?.length) {\n console.log('Invalid row structure:', row);\n throw new Error('Invalid row structure');\n }\n \n return {\n page: row.dimensionValues[0].value,\n pageViews: parseInt(row.metricValues[0].value) || 0,\n activeUsers: parseInt(row.metricValues[1].value) || 0,\n viewsPerUser: parseFloat(row.metricValues[2].value) || 0,\n eventCount: parseInt(row.metricValues[3].value) || 0\n };\n });\n \n // Convert to JSON string and encode for URL\n return encodeURIComponent(JSON.stringify(simplified));\n}\n\n// Get input data and transform it\nconst urlString = transformToUrlString($input.all());\n\n// Return the result\nreturn { json: { urlString } };"
      },
      "typeVersion": 2
    },
    {
      "id": "ed880442-c92e-4347-b277-e8794aea6fbc",
      "name": "Parse GA data",
      "type": "n8n-nodes-base.code",
      "position": [
        1240,
        460
      ],
      "parameters": {
        "jsCode": "function transformToUrlString(items) {\n // Debug logging\n console.log('Input items:', JSON.stringify(items, null, 2));\n \n // Check if items is an array and has content\n if (!Array.isArray(items) || items.length === 0) {\n console.log('Items is not an array or is empty');\n throw new Error('Invalid data structure');\n }\n\n // Check if first item exists and has json property\n if (!items[0] || !items[0].json) {\n console.log('First item is missing or has no json property');\n throw new Error('Invalid data structure');\n }\n\n // Get the analytics data\n const analyticsData = items[0].json;\n \n // Check if analyticsData has rows\n if (!analyticsData || !Array.isArray(analyticsData.rows)) {\n console.log('Analytics data is missing or has no rows array');\n throw new Error('Invalid data structure');\n }\n \n // Map each row to a simplified object\n const simplified = analyticsData.rows.map(row => {\n if (!row.dimensionValues?.[0]?.value || !row.metricValues?.length) {\n console.log('Invalid row structure:', row);\n throw new Error('Invalid row structure');\n }\n \n return {\n page: row.dimensionValues[0].value,\n pageViews: parseInt(row.metricValues[0].value) || 0,\n activeUsers: parseInt(row.metricValues[1].value) || 0,\n viewsPerUser: parseFloat(row.metricValues[2].value) || 0,\n eventCount: parseInt(row.metricValues[3].value) || 0\n };\n });\n \n // Convert to JSON string and encode for URL\n return encodeURIComponent(JSON.stringify(simplified));\n}\n\n// Get input data and transform it\nconst urlString = transformToUrlString($input.all());\n\n// Return the result\nreturn { json: { urlString } };"
      },
      "typeVersion": 2
    },
    {
      "id": "46e092cc-af94-4e64-aa92-931c56345eff",
      "name": "Get Google Search Results for this week",
      "type": "n8n-nodes-base.googleAnalytics",
      "position": [
        1420,
        460
      ],
      "parameters": {
        "simple": false,
        "returnAll": true,
        "metricsGA4": {
          "metricValues": [
            {
              "name": "activeUsers",
              "listName": "other"
            },
            {
              "name": "engagedSessions",
              "listName": "other"
            },
            {
              "name": "engagementRate",
              "listName": "other"
            },
            {
              "name": "eventCount",
              "listName": "other"
            },
            {
              "name": "organicGoogleSearchAveragePosition",
              "listName": "other"
            },
            {
              "name": "organicGoogleSearchClickThroughRate",
              "listName": "other"
            },
            {
              "name": "organicGoogleSearchClicks",
              "listName": "other"
            },
            {
              "name": "organicGoogleSearchImpressions",
              "listName": "other"
            }
          ]
        },
        "propertyId": {
          "__rl": true,
          "mode": "id",
          "value": "460520224"
        },
        "dimensionsGA4": {
          "dimensionValues": [
            {
              "name": "landingPagePlusQueryString",
              "listName": "other"
            }
          ]
        },
        "additionalFields": {}
      },
      "credentials": {
        "googleAnalyticsOAuth2": {
          "id": "b1GX8VBMKCUNweV1",
          "name": "Google Analytics account"
        }
      },
      "typeVersion": 2
    },
    {
      "id": "709d0aaf-bd3d-4d83-9e66-b7df495855bd",
      "name": "Get Google Search Results for last week",
      "type": "n8n-nodes-base.googleAnalytics",
      "position": [
        1780,
        460
      ],
      "parameters": {
        "simple": false,
        "endDate": "={{$today.minus({days: 7})}}",
        "dateRange": "custom",
        "returnAll": true,
        "startDate": "={{$today.minus({days: 14})}}",
        "metricsGA4": {
          "metricValues": [
            {
              "name": "activeUsers",
              "listName": "other"
            },
            {
              "name": "engagedSessions",
              "listName": "other"
            },
            {
              "name": "engagementRate",
              "listName": "other"
            },
            {
              "name": "eventCount",
              "listName": "other"
            },
            {
              "name": "organicGoogleSearchAveragePosition",
              "listName": "other"
            },
            {
              "name": "organicGoogleSearchClickThroughRate",
              "listName": "other"
            },
            {
              "name": "organicGoogleSearchClicks",
              "listName": "other"
            },
            {
              "name": "organicGoogleSearchImpressions",
              "listName": "other"
            }
          ]
        },
        "propertyId": {
          "__rl": true,
          "mode": "id",
          "value": "460520224"
        },
        "dimensionsGA4": {
          "dimensionValues": [
            {
              "name": "landingPagePlusQueryString",
              "listName": "other"
            }
          ]
        },
        "additionalFields": {}
      },
      "credentials": {
        "googleAnalyticsOAuth2": {
          "id": "b1GX8VBMKCUNweV1",
          "name": "Google Analytics account"
        }
      },
      "typeVersion": 2
    },
    {
      "id": "7d3835d6-d1f5-4159-8e34-871871e63989",
      "name": "Parse Google Analytics Data",
      "type": "n8n-nodes-base.code",
      "position": [
        1600,
        460
      ],
      "parameters": {
        "jsCode": "function transformToUrlString(items) {\n // In n8n, we need to check if items is an array and get the json property\n const data = items[0].json;\n \n if (!data || !data.rows) {\n console.log('No valid data found');\n return encodeURIComponent(JSON.stringify([]));\n }\n \n try {\n // Process each row\n const simplified = data.rows.map(row => ({\n page: row.dimensionValues[0].value,\n activeUsers: parseInt(row.metricValues[0].value) || 0,\n engagedSessions: parseInt(row.metricValues[1].value) || 0,\n engagementRate: parseFloat(row.metricValues[2].value) || 0,\n eventCount: parseInt(row.metricValues[3].value) || 0,\n avgPosition: parseFloat(row.metricValues[4].value) || 0,\n ctr: parseFloat(row.metricValues[5].value) || 0,\n clicks: parseInt(row.metricValues[6].value) || 0,\n impressions: parseInt(row.metricValues[7].value) || 0\n }));\n \n return encodeURIComponent(JSON.stringify(simplified));\n } catch (error) {\n console.log('Error processing data:', error);\n throw new Error('Invalid data structure');\n }\n}\n\n// Get the input data\nconst items = $input.all();\n\n// Process the data\nconst result = transformToUrlString(items);\n\n// Return the result\nreturn { json: { urlString: result } };"
      },
      "typeVersion": 2
    },
    {
      "id": "c018fda4-a2e6-48f4-aabb-039c66374dc7",
      "name": "Parse Google Analytics Data1",
      "type": "n8n-nodes-base.code",
      "position": [
        1940,
        460
      ],
      "parameters": {
        "jsCode": "function transformToUrlString(items) {\n // In n8n, we need to check if items is an array and get the json property\n const data = items[0].json;\n \n if (!data || !data.rows) {\n console.log('No valid data found');\n return encodeURIComponent(JSON.stringify([]));\n }\n \n try {\n // Process each row\n const simplified = data.rows.map(row => ({\n page: row.dimensionValues[0].value,\n activeUsers: parseInt(row.metricValues[0].value) || 0,\n engagedSessions: parseInt(row.metricValues[1].value) || 0,\n engagementRate: parseFloat(row.metricValues[2].value) || 0,\n eventCount: parseInt(row.metricValues[3].value) || 0,\n avgPosition: parseFloat(row.metricValues[4].value) || 0,\n ctr: parseFloat(row.metricValues[5].value) || 0,\n clicks: parseInt(row.metricValues[6].value) || 0,\n impressions: parseInt(row.metricValues[7].value) || 0\n }));\n \n return encodeURIComponent(JSON.stringify(simplified));\n } catch (error) {\n console.log('Error processing data:', error);\n throw new Error('Invalid data structure');\n }\n}\n\n// Get the input data\nconst items = $input.all();\n\n// Process the data\nconst result = transformToUrlString(items);\n\n// Return the result\nreturn { json: { urlString: result } };"
      },
      "typeVersion": 2
    },
    {
      "id": "d8f775cd-daf9-42de-a527-d932be46d945",
      "name": "Get Country views data for this week",
      "type": "n8n-nodes-base.googleAnalytics",
      "position": [
        2120,
        460
      ],
      "parameters": {
        "simple": false,
        "returnAll": true,
        "metricsGA4": {
          "metricValues": [
            {
              "name": "activeUsers",
              "listName": "other"
            },
            {
              "name": "newUsers",
              "listName": "other"
            },
            {
              "name": "engagementRate",
              "listName": "other"
            },
            {
              "name": "engagedSessions",
              "listName": "other"
            },
            {
              "name": "eventCount",
              "listName": "other"
            },
            {
              "listName": "other"
            },
            {
              "name": "sessions",
              "listName": "other"
            }
          ]
        },
        "propertyId": {
          "__rl": true,
          "mode": "id",
          "value": "460520224"
        },
        "dimensionsGA4": {
          "dimensionValues": [
            {
              "name": "country",
              "listName": "other"
            }
          ]
        },
        "additionalFields": {}
      },
      "credentials": {
        "googleAnalyticsOAuth2": {
          "id": "b1GX8VBMKCUNweV1",
          "name": "Google Analytics account"
        }
      },
      "typeVersion": 2
    },
    {
      "id": "7119e57c-cbf4-49a9-b0c9-1f3da1fd2af3",
      "name": "Get Country views data for last week",
      "type": "n8n-nodes-base.googleAnalytics",
      "position": [
        2440,
        460
      ],
      "parameters": {
        "simple": false,
        "endDate": "={{$today.minus({days: 7})}}",
        "dateRange": "custom",
        "returnAll": true,
        "startDate": "={{$today.minus({days: 14})}}",
        "metricsGA4": {
          "metricValues": [
            {
              "name": "activeUsers",
              "listName": "other"
            },
            {
              "name": "newUsers",
              "listName": "other"
            },
            {
              "name": "engagementRate",
              "listName": "other"
            },
            {
              "name": "engagedSessions",
              "listName": "other"
            },
            {
              "name": "eventCount",
              "listName": "other"
            },
            {
              "listName": "other"
            },
            {
              "name": "sessions",
              "listName": "other"
            }
          ]
        },
        "propertyId": {
          "__rl": true,
          "mode": "id",
          "value": "460520224"
        },
        "dimensionsGA4": {
          "dimensionValues": [
            {
              "name": "country",
              "listName": "other"
            }
          ]
        },
        "additionalFields": {}
      },
      "typeVersion": 2
    },
    {
      "id": "546d6cd2-6db6-4276-be35-abbe5a7e9b6a",
      "name": "Parse Google analytics data",
      "type": "n8n-nodes-base.code",
      "position": [
        2280,
        460
      ],
      "parameters": {
        "jsCode": "function transformToUrlString(items) {\n // In n8n, we need to check if items is an array and get the json property\n const data = items[0].json;\n \n if (!data || !data.rows) {\n console.log('No valid data found');\n return encodeURIComponent(JSON.stringify([]));\n }\n \n try {\n // Process each row\n const simplified = data.rows.map(row => ({\n country: row.dimensionValues[0].value,\n activeUsers: parseInt(row.metricValues[0].value) || 0,\n newUsers: parseInt(row.metricValues[1].value) || 0,\n engagementRate: parseFloat(row.metricValues[2].value) || 0,\n engagedSessions: parseInt(row.metricValues[3].value) || 0,\n eventCount: parseInt(row.metricValues[4].value) || 0,\n totalUsers: parseInt(row.metricValues[5].value) || 0,\n sessions: parseInt(row.metricValues[6].value) || 0\n }));\n \n return encodeURIComponent(JSON.stringify(simplified));\n } catch (error) {\n console.log('Error processing data:', error);\n throw new Error('Invalid data structure');\n }\n}\n\n// Get the input data\nconst items = $input.all();\n\n// Process the data\nconst result = transformToUrlString(items);\n\n// Return the result\nreturn { json: { urlString: result } };"
      },
      "typeVersion": 2
    },
    {
      "id": "87cb137c-686d-49a5-8657-06ed0c5f5c27",
      "name": "Parse Google analytics data1",
      "type": "n8n-nodes-base.code",
      "position": [
        2600,
        460
      ],
      "parameters": {
        "jsCode": "function transformToUrlString(items) {\n // In n8n, we need to check if items is an array and get the json property\n const data = items[0].json;\n \n if (!data || !data.rows) {\n console.log('No valid data found');\n return encodeURIComponent(JSON.stringify([]));\n }\n \n try {\n // Process each row\n const simplified = data.rows.map(row => ({\n country: row.dimensionValues[0].value,\n activeUsers: parseInt(row.metricValues[0].value) || 0,\n newUsers: parseInt(row.metricValues[1].value) || 0,\n engagementRate: parseFloat(row.metricValues[2].value) || 0,\n engagedSessions: parseInt(row.metricValues[3].value) || 0,\n eventCount: parseInt(row.metricValues[4].value) || 0,\n totalUsers: parseInt(row.metricValues[5].value) || 0,\n sessions: parseInt(row.metricValues[6].value) || 0\n }));\n \n return encodeURIComponent(JSON.stringify(simplified));\n } catch (error) {\n console.log('Error processing data:', error);\n throw new Error('Invalid data structure');\n }\n}\n\n// Get the input data\nconst items = $input.all();\n\n// Process the data\nconst result = transformToUrlString(items);\n\n// Return the result\nreturn { json: { urlString: result } };"
      },
      "typeVersion": 2
    },
    {
      "id": "06c4478d-a13a-4587-9f1f-451a68798a9f",
      "name": "Send page data to A.I.",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        2760,
        460
      ],
      "parameters": {
        "url": "https://openrouter.ai/api/v1/chat/completions",
        "method": "POST",
        "options": {},
        "jsonBody": "={\n \"model\": \"meta-llama/llama-3.1-70b-instruct:free\",\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"You are an SEO expert. Compare the data from past 2 weeks, give me a table in markdown. Then give me 5 suggestions to improve my SEO. Output the data so that it works with markdown editors. Data from 2 weeks ago:{{ $json.urlString }} Data from last week: {{ $('Parse data from Google Analytics').item.json.urlString }}\"\n }\n ]\n}",
        "sendBody": true,
        "specifyBody": "json",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth"
      },
      "typeVersion": 4.2,
      "alwaysOutputData": false
    },
    {
      "id": "4ad522b0-afe4-4eff-aa16-b86cc892ead8",
      "name": "Send page Search data to A.I.",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        2920,
        460
      ],
      "parameters": {
        "url": "https://openrouter.ai/api/v1/chat/completions",
        "method": "POST",
        "options": {},
        "jsonBody": "={\n \"model\": \"meta-llama/llama-3.1-70b-instruct:free\",\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"You are an SEO expert. Compare the data from past 2 weeks, give me a table in markdown. Then give me 5 suggestions to improve my SEO. Output the data so that it works with markdown editors. Data from 2 weeks ago:{{ $('Parse Google Analytics Data1').item.json.urlString }} Data from last week:{{ $('Parse Google Analytics Data').item.json.urlString }}\"\n }\n ]\n}",
        "sendBody": true,
        "specifyBody": "json",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth"
      },
      "typeVersion": 4.2,
      "alwaysOutputData": false
    },
    {
      "id": "07e1eebf-f16a-44c0-83b5-76bf65a3d3fc",
      "name": "Send country view data to A.I.",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        3080,
        460
      ],
      "parameters": {
        "url": "https://openrouter.ai/api/v1/chat/completions",
        "method": "POST",
        "options": {},
        "jsonBody": "={\n \"model\": \"meta-llama/llama-3.1-70b-instruct:free\",\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"You are an SEO expert. Compare the data from past 2 weeks, give me a table in markdown. Then give me 5 suggestions to improve my SEO. Output the data so that it works with markdown editors. Data from 2 weeks ago:{{ $('Parse Google analytics data1').item.json.urlString }} Data from last week:{{ $('Parse Google analytics data').item.json.urlString }}\"\n }\n ]\n}",
        "sendBody": true,
        "specifyBody": "json",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth"
      },
      "typeVersion": 4.2,
      "alwaysOutputData": false
    },
    {
      "id": "c4648ad8-2377-42a0-a431-931b53631c9d",
      "name": "Save A.I. output to Baserow",
      "type": "n8n-nodes-base.baserow",
      "position": [
        3240,
        460
      ],
      "parameters": {
        "tableId": 601,
        "fieldsUi": {
          "fieldValues": [
            {
              "fieldId": 5833,
              "fieldValue": "Name of your blog"
            },
            {
              "fieldId": 5831,
              "fieldValue": "={{ $('Send page data to A.I.').item.json.choices[0].message.content }}"
            },
            {
              "fieldId": 5830,
              "fieldValue": "={{ $('Send page Search data to A.I.').item.json.choices[0].message.content }}"
            },
            {
              "fieldId": 5832,
              "fieldValue": "={{ $json.choices[0].message.content }}"
            },
            {
              "fieldId": 5829,
              "fieldValue": "={{ DateTime.now() }}"
            }
          ]
        },
        "operation": "create",
        "databaseId": 121
      },
      "typeVersion": 1
    },
    {
      "id": "e185c836-c12f-4452-92bd-0daaf33b653a",
      "name": "Sticky Note2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2760,
        180
      ],
      "parameters": {
        "color": 5,
        "width": 441.7412987012988,
        "height": 508.95792207792226,
        "content": "## Send data to A.I.\n\nFill in your Openrouter A.I. credentials. Use Header Auth.\n- Username: Authorization\n- Password: Bearer {insert your API key}\n\nRemember to add a space after bearer. Also, feel free to modify the prompt to A.1."
      },
      "typeVersion": 1
    },
    {
      "id": "a1de2d16-d09e-4c74-8be1-f6bab8c34246",
      "name": "Sticky Note3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        3220,
        180
      ],
      "parameters": {
        "color": 6,
        "width": 331.32883116883124,
        "height": 474.88,
        "content": "## Send data to Baserow\n\nCreate a table first with the following columns:\n- Name\n- Country Views\n- Page Views\n- Search Report\n- Blog \n\nEnter the name of your website under \"Blog\" field."
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "ac4b5eac-1c84-49ce-9ff7-794f857265b4",
  "connections": {
    "Parse GA data": {
      "main": [
        [
          {
            "node": "Get Google Search Results for this week",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Schedule Trigger": {
      "main": [
        [
          {
            "node": "Get Page Engagement Stats for this week",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Send page data to A.I.": {
      "main": [
        [
          {
            "node": "Send page Search data to A.I.",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Parse Google Analytics Data": {
      "main": [
        [
          {
            "node": "Get Google Search Results for last week",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Parse Google analytics data": {
      "main": [
        [
          {
            "node": "Get Country views data for last week",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Parse Google Analytics Data1": {
      "main": [
        [
          {
            "node": "Get Country views data for this week",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Parse Google analytics data1": {
      "main": [
        [
          {
            "node": "Send page data to A.I.",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Send page Search data to A.I.": {
      "main": [
        [
          {
            "node": "Send country view data to A.I.",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Send country view data to A.I.": {
      "main": [
        [
          {
            "node": "Save A.I. output to Baserow",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Parse data from Google Analytics": {
      "main": [
        [
          {
            "node": "Get Page Engagement Stats for prior week",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "When clicking ‘Test workflow’": {
      "main": [
        [
          {
            "node": "Get Page Engagement Stats for this week",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Get Country views data for last week": {
      "main": [
        [
          {
            "node": "Parse Google analytics data1",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Get Country views data for this week": {
      "main": [
        [
          {
            "node": "Parse Google analytics data",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Get Google Search Results for last week": {
      "main": [
        [
          {
            "node": "Parse Google Analytics Data1",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Get Google Search Results for this week": {
      "main": [
        [
          {
            "node": "Parse Google Analytics Data",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Get Page Engagement Stats for this week": {
      "main": [
        [
          {
            "node": "Parse data from Google Analytics",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Get Page Engagement Stats for prior week": {
      "main": [
        [
          {
            "node": "Parse GA data",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}

Workflow n8n Google Analytics, analyse de données, performance web : pour qui est ce workflow ?

Ce workflow s'adresse principalement aux équipes marketing, aux analystes de données et aux responsables de la performance web dans les PME et les grandes entreprises. Un niveau technique intermédiaire est recommandé pour la personnalisation et l'intégration de ce workflow dans des systèmes existants.

Workflow n8n Google Analytics, analyse de données, performance web : problème résolu

Ce workflow résout le problème de la collecte manuelle et de l'analyse des données de Google Analytics, qui peut être chronophage et sujet à des erreurs. En automatisant ce processus, les utilisateurs peuvent se concentrer sur l'interprétation des données plutôt que sur leur collecte. Cela réduit également le risque d'erreurs humaines et permet d'obtenir des rapports réguliers et fiables sur les performances du site web.

Workflow n8n Google Analytics, analyse de données, performance web : étapes du workflow

Étape 1 : le workflow est déclenché par un planificateur.

  • Étape 1 : il récupère les statistiques d'engagement pour la semaine en cours et la semaine précédente via Google Analytics.
  • Étape 2 : les données sont analysées et formatées à l'aide de nœuds de code.
  • Étape 3 : les résultats sont envoyés à une intelligence artificielle pour une analyse approfondie.
  • Étape 4 : les données analysées sont sauvegardées dans Baserow pour un accès facile.

Workflow n8n Google Analytics, analyse de données, performance web : guide de personnalisation

Pour personnaliser ce workflow, vous pouvez modifier les paramètres du nœud de planification pour ajuster la fréquence d'exécution. Il est également possible de changer les métriques et dimensions dans les nœuds de Google Analytics pour répondre à des besoins spécifiques. Assurez-vous de configurer correctement les identifiants de propriété Google Analytics et les paramètres de connexion à Baserow. Pour une sécurité accrue, envisagez d'ajouter des mécanismes d'authentification pour les appels API.