Automate RSS News Analysis with Project Genji

The workflow JSON

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{
  "name": "Project Genji - RSS to AI Analysis",
  "nodes": [
    {
      "parameters": {
        "rule": {
          "interval": [
            {
              "field": "cronExpression",
              "expression": "0 */4 * * *"
            }
          ]
        }
      },
      "id": "schedule-trigger",
      "name": "Run Every 4 Hours",
      "type": "n8n-nodes-base.scheduleTrigger",
      "typeVersion": 1,
      "position": [
        240,
        300
      ]
    },
    {
      "parameters": {
        "url": "https://feeds.feedburner.com/TechCrunch",
        "options": {}
      },
      "id": "rss-feed-reader",
      "name": "Fetch Tech News RSS",
      "type": "n8n-nodes-base.rssFeedRead",
      "typeVersion": 1,
      "position": [
        460,
        300
      ]
    },
    {
      "parameters": {
        "functionCode": "// Transform RSS items for Project Genji\nconst items = [];\n\nfor (const item of $input.all()) {\n  items.push({\n    json: {\n      title: item.json.title,\n      content: item.json.contentSnippet || item.json.description,\n      link: item.json.link,\n      pubDate: item.json.pubDate || item.json.isoDate,\n      category: 'Technology',\n      source: 'TechCrunch RSS'\n    }\n  });\n}\n\nreturn items;"
      },
      "id": "transform-data",
      "name": "Transform for Genji",
      "type": "n8n-nodes-base.function",
      "typeVersion": 1,
      "position": [
        680,
        300
      ]
    },
    {
      "parameters": {
        "url": "http://localhost:5000/webhook/n8n/article",
        "options": {
          "headers": {
            "Content-Type": "application/json"
          }
        },
        "requestMethod": "POST"
      },
      "id": "send-to-genji",
      "name": "Send to Project Genji",
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 1,
      "position": [
        900,
        300
      ]
    },
    {
      "parameters": {
        "conditions": {
          "string": [
            {
              "value1": "={{$json.success}}",
              "operation": "equal",
              "value2": true
            }
          ]
        }
      },
      "id": "check-success",
      "name": "Analysis Successful?",
      "type": "n8n-nodes-base.if",
      "typeVersion": 1,
      "position": [
        1120,
        300
      ]
    },
    {
      "parameters": {
        "functionCode": "// Log successful analysis\nconsole.log('Article analyzed successfully:', $json.article_id);\nconsole.log('Analysis result:', $json.analysis);\n\nreturn [{\n  json: {\n    status: 'success',\n    article_id: $json.article_id,\n    sentiment: $json.analysis?.sentiment_label,\n    business_impact: $json.analysis?.business_impact,\n    timestamp: new Date().toISOString()\n  }\n}];"
      },
      "id": "log-success",
      "name": "Log Success",
      "type": "n8n-nodes-base.function",
      "typeVersion": 1,
      "position": [
        1340,
        200
      ]
    },
    {
      "parameters": {
        "functionCode": "// Log failed analysis\nconsole.error('Article analysis failed:', $json.error);\n\nreturn [{\n  json: {\n    status: 'failed',\n    error: $json.error,\n    timestamp: new Date().toISOString()\n  }\n}];"
      },
      "id": "log-error",
      "name": "Log Error",
      "type": "n8n-nodes-base.function",
      "typeVersion": 1,
      "position": [
        1340,
        400
      ]
    }
  ],
  "connections": {
    "Run Every 4 Hours": {
      "main": [
        [
          {
            "node": "Fetch Tech News RSS",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Fetch Tech News RSS": {
      "main": [
        [
          {
            "node": "Transform for Genji",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Transform for Genji": {
      "main": [
        [
          {
            "node": "Send to Project Genji",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Send to Project Genji": {
      "main": [
        [
          {
            "node": "Analysis Successful?",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Analysis Successful?": {
      "main": [
        [
          {
            "node": "Log Success",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "Log Error",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "active": true,
  "settings": {},
  "versionId": "1.0.0",
  "id": "project-genji-rss-analysis"
}

About this workflow

Project Genji - RSS to AI Analysis. Uses rssFeedRead, httpRequest. Scheduled trigger; 7 nodes.

Source: https://github.com/sivaadityacoder/Genji/blob/83e52c14eebb8177bf5cc5fe4f53a74b75d7c29a/n8n-workflows/genji-rss-workflow.json — original creator credit. Request a take-down →

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