{
  "name": "Workflow A — Extract & Store Raw Data",
  "nodes": [
    {
      "parameters": {
        "rule": {
          "interval": [
            {
              "field": "hours",
              "hoursInterval": 4
            }
          ]
        }
      },
      "id": "node_schedule",
      "name": "Schedule Trigger",
      "type": "n8n-nodes-base.scheduleTrigger",
      "typeVersion": 1.1,
      "position": [
        200,
        400
      ]
    },
    {
      "parameters": {
        "url": "https://techcrunch.com/category/artificial-intelligence/feed/",
        "options": {
          "response": {
            "response": {
              "responseFormat": "text"
            }
          }
        }
      },
      "id": "node_tc",
      "name": "Fetch TechCrunch",
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4.2,
      "position": [
        440,
        100
      ]
    },
    {
      "parameters": {
        "url": "https://venturebeat.com/feed/",
        "options": {
          "response": {
            "response": {
              "responseFormat": "text"
            }
          }
        }
      },
      "id": "node_vb",
      "name": "Fetch VentureBeat",
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4.2,
      "position": [
        440,
        240
      ]
    },
    {
      "parameters": {
        "url": "https://hnrss.org/frontpage?q=AI+LLM+machine+learning&count=20",
        "options": {
          "response": {
            "response": {
              "responseFormat": "text"
            }
          }
        }
      },
      "id": "node_hn",
      "name": "Fetch HackerNews",
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4.2,
      "position": [
        440,
        380
      ]
    },
    {
      "parameters": {
        "url": "https://export.arxiv.org/rss/cs.AI",
        "options": {
          "response": {
            "response": {
              "responseFormat": "text"
            }
          }
        }
      },
      "id": "node_arxiv",
      "name": "Fetch ArXiv",
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4.2,
      "position": [
        440,
        520
      ]
    },
    {
      "parameters": {
        "url": "https://www.reddit.com/r/artificial+MachineLearning+OpenAI.json?limit=25&sort=hot",
        "options": {
          "response": {
            "response": {
              "responseFormat": "json"
            }
          }
        }
      },
      "id": "node_reddit",
      "name": "Fetch Reddit",
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4.2,
      "position": [
        440,
        660
      ]
    },
    {
      "parameters": {
        "language": "python",
        "jsCode": "PASTE_TECHCRUNCH_CODE_HERE"
      },
      "id": "node_parse_tc",
      "name": "Parse TechCrunch",
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [
        680,
        100
      ]
    },
    {
      "parameters": {
        "language": "python",
        "jsCode": "PASTE_VENTUREBEAT_CODE_HERE"
      },
      "id": "node_parse_vb",
      "name": "Parse VentureBeat",
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [
        680,
        240
      ]
    },
    {
      "parameters": {
        "language": "python",
        "jsCode": "PASTE_HACKERNEWS_CODE_HERE"
      },
      "id": "node_parse_hn",
      "name": "Parse HackerNews",
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [
        680,
        380
      ]
    },
    {
      "parameters": {
        "language": "python",
        "jsCode": "PASTE_ARXIV_CODE_HERE"
      },
      "id": "node_parse_arxiv",
      "name": "Parse ArXiv",
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [
        680,
        520
      ]
    },
    {
      "parameters": {
        "language": "python",
        "jsCode": "PASTE_REDDIT_CODE_HERE"
      },
      "id": "node_parse_reddit",
      "name": "Parse Reddit",
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [
        680,
        660
      ]
    },
    {
      "parameters": {
        "operation": "executeQuery",
        "query": "INSERT INTO raw_intelligence (title, source_name, source_type, url, raw_content, published_date, pulled_date, topic_tag, processed) VALUES ($1, $2, $3, $4, $5, $6::timestamptz, NOW(), $7, FALSE) ON CONFLICT (url) DO NOTHING;",
        "additionalFields": {
          "queryParams": "={{ [$json.title.substring(0,500), $json.source_name, $json.source_type, $json.url, $json.raw_content.substring(0,1000), $json.published_date, $json.topic_tag] }}"
        },
        "options": {}
      },
      "id": "node_insert_tc",
      "name": "Store TechCrunch",
      "type": "n8n-nodes-base.postgres",
      "typeVersion": 2.3,
      "position": [
        920,
        100
      ]
    },
    {
      "parameters": {
        "operation": "executeQuery",
        "query": "INSERT INTO raw_intelligence (title, source_name, source_type, url, raw_content, published_date, pulled_date, topic_tag, processed) VALUES ($1, $2, $3, $4, $5, $6::timestamptz, NOW(), $7, FALSE) ON CONFLICT (url) DO NOTHING;",
        "additionalFields": {
          "queryParams": "={{ [$json.title.substring(0,500), $json.source_name, $json.source_type, $json.url, $json.raw_content.substring(0,1000), $json.published_date, $json.topic_tag] }}"
        },
        "options": {}
      },
      "id": "node_insert_vb",
      "name": "Store VentureBeat",
      "type": "n8n-nodes-base.postgres",
      "typeVersion": 2.3,
      "position": [
        920,
        240
      ]
    },
    {
      "parameters": {
        "operation": "executeQuery",
        "query": "INSERT INTO raw_intelligence (title, source_name, source_type, url, raw_content, published_date, pulled_date, topic_tag, processed) VALUES ($1, $2, $3, $4, $5, $6::timestamptz, NOW(), $7, FALSE) ON CONFLICT (url) DO NOTHING;",
        "additionalFields": {
          "queryParams": "={{ [$json.title.substring(0,500), $json.source_name, $json.source_type, $json.url, $json.raw_content.substring(0,1000), $json.published_date, $json.topic_tag] }}"
        },
        "options": {}
      },
      "id": "node_insert_hn",
      "name": "Store HackerNews",
      "type": "n8n-nodes-base.postgres",
      "typeVersion": 2.3,
      "position": [
        920,
        380
      ]
    },
    {
      "parameters": {
        "operation": "executeQuery",
        "query": "INSERT INTO raw_intelligence (title, source_name, source_type, url, raw_content, published_date, pulled_date, topic_tag, processed) VALUES ($1, $2, $3, $4, $5, $6::timestamptz, NOW(), $7, FALSE) ON CONFLICT (url) DO NOTHING;",
        "additionalFields": {
          "queryParams": "={{ [$json.title.substring(0,500), $json.source_name, $json.source_type, $json.url, $json.raw_content.substring(0,1000), $json.published_date, $json.topic_tag] }}"
        },
        "options": {}
      },
      "id": "node_insert_arxiv",
      "name": "Store ArXiv",
      "type": "n8n-nodes-base.postgres",
      "typeVersion": 2.3,
      "position": [
        920,
        520
      ]
    },
    {
      "parameters": {
        "operation": "executeQuery",
        "query": "INSERT INTO raw_intelligence (title, source_name, source_type, url, raw_content, published_date, pulled_date, topic_tag, processed) VALUES ($1, $2, $3, $4, $5, $6::timestamptz, NOW(), $7, FALSE) ON CONFLICT (url) DO NOTHING;",
        "additionalFields": {
          "queryParams": "={{ [$json.title.substring(0,500), $json.source_name, $json.source_type, $json.url, $json.raw_content.substring(0,1000), $json.published_date, $json.topic_tag] }}"
        },
        "options": {}
      },
      "id": "node_insert_reddit",
      "name": "Store Reddit",
      "type": "n8n-nodes-base.postgres",
      "typeVersion": 2.3,
      "position": [
        920,
        660
      ]
    },
    {
      "parameters": {
        "operation": "executeQuery",
        "query": "SELECT COUNT(*) FILTER (WHERE processed = FALSE) AS new_items, COUNT(*) FILTER (WHERE pulled_date >= NOW() - INTERVAL '4 hours') AS this_cycle FROM raw_intelligence WHERE pulled_date >= NOW() - INTERVAL '4 hours';",
        "options": {}
      },
      "id": "node_verify",
      "name": "Verify — Count Stored Items",
      "type": "n8n-nodes-base.postgres",
      "typeVersion": 2.3,
      "position": [
        1160,
        380
      ]
    },
    {
      "parameters": {
        "conditions": {
          "number": [
            {
              "value1": "={{ $json.new_items }}",
              "operation": "larger",
              "value2": 0
            }
          ]
        }
      },
      "id": "node_check",
      "name": "Check — New Items Exist?",
      "type": "n8n-nodes-base.if",
      "typeVersion": 1,
      "position": [
        1380,
        380
      ]
    },
    {
      "parameters": {
        "workflowId": "REPLACE_WITH_WORKFLOWID",
        "waitForSubWorkflow": false,
        "options": {}
      },
      "id": "node_trigger_b",
      "name": "Trigger — Start Workflow B",
      "type": "n8n-nodes-base.executeWorkflow",
      "typeVersion": 1.1,
      "position": [
        1600,
        280
      ],
      "notes": "ADD YOUR DETAILS: Replace WORKFLOW_B_ID with Workflow B numeric ID."
    },
    {
      "parameters": {
        "language": "python",
        "jsCode": "return [{'json': {'skipped': True}}]"
      },
      "id": "node_skip_log",
      "name": "Log — Skip",
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [
        1600,
        480
      ]
    },
    {
      "id": "3713f19b-f00d-5fd3-8f3b-16616dbf37e2",
      "name": "Publication · Overview and setup",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -800,
        0
      ],
      "parameters": {
        "content": "# Workflow A — Extract & Store Raw Data\n\n## Purpose and structure\nThis folder contains the **Workflow A — Extract & Store Raw Data** workflow. Its executable nodes use `code`, `executeWorkflow`, `httpRequest`, `if`, `postgres`, `scheduleTrigger`. The table and connection map below are derived from the JSON, not an inferred guarantee of behavior.\n\n## Setup\nImport inactive. Configure your own credentials and replace REPLACE_WITH_* values. Review external destinations and Code nodes before running.\n\n## Entry points\nSchedule Trigger\n\n## Verification\nSanitized source candidate; not runtime-tested. This overview is generated from node metadata. Read the folder README for the connection map, credential types, and license.\n\n## Attribution\nNik Bear Brown; rights confirmed 2026-10-19\nMIT; preserve source notices.",
        "width": 700,
        "height": 800,
        "color": 1
      }
    }
  ],
  "connections": {
    "Schedule Trigger": {
      "main": [
        [
          {
            "node": "Fetch TechCrunch",
            "type": "main",
            "index": 0
          },
          {
            "node": "Fetch VentureBeat",
            "type": "main",
            "index": 0
          },
          {
            "node": "Fetch HackerNews",
            "type": "main",
            "index": 0
          },
          {
            "node": "Fetch ArXiv",
            "type": "main",
            "index": 0
          },
          {
            "node": "Fetch Reddit",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Fetch TechCrunch": {
      "main": [
        [
          {
            "node": "Parse TechCrunch",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Fetch VentureBeat": {
      "main": [
        [
          {
            "node": "Parse VentureBeat",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Fetch HackerNews": {
      "main": [
        [
          {
            "node": "Parse HackerNews",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Fetch ArXiv": {
      "main": [
        [
          {
            "node": "Parse ArXiv",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Fetch Reddit": {
      "main": [
        [
          {
            "node": "Parse Reddit",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Parse TechCrunch": {
      "main": [
        [
          {
            "node": "Store TechCrunch",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Parse VentureBeat": {
      "main": [
        [
          {
            "node": "Store VentureBeat",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Parse HackerNews": {
      "main": [
        [
          {
            "node": "Store HackerNews",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Parse ArXiv": {
      "main": [
        [
          {
            "node": "Store ArXiv",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Parse Reddit": {
      "main": [
        [
          {
            "node": "Store Reddit",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Store TechCrunch": {
      "main": [
        [
          {
            "node": "Verify — Count Stored Items",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Store VentureBeat": {
      "main": [
        [
          {
            "node": "Verify — Count Stored Items",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Store HackerNews": {
      "main": [
        [
          {
            "node": "Verify — Count Stored Items",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Store ArXiv": {
      "main": [
        [
          {
            "node": "Verify — Count Stored Items",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Store Reddit": {
      "main": [
        [
          {
            "node": "Verify — Count Stored Items",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Verify — Count Stored Items": {
      "main": [
        [
          {
            "node": "Check — New Items Exist?",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Check — New Items Exist?": {
      "main": [
        [
          {
            "node": "Trigger — Start Workflow B",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "Log — Skip",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "settings": {
    "executionOrder": "v1",
    "saveManualExecutions": true
  },
  "active": false
}