Twitter Text ETL to Postgres & MongoDB

The workflow JSON

Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →

{
  "nodes": [
    {
      "name": "Twitter",
      "type": "n8n-nodes-base.twitter",
      "position": [
        300,
        300
      ],
      "parameters": {
        "limit": 3,
        "operation": "search",
        "searchText": "=#OnThisDay",
        "additionalFields": {}
      },
      "credentials": {
        "twitterOAuth1Api": "<your credential>"
      },
      "typeVersion": 1
    },
    {
      "name": "Postgres",
      "type": "n8n-nodes-base.postgres",
      "position": [
        1100,
        300
      ],
      "parameters": {
        "table": "tweets",
        "columns": "text, score, magnitude",
        "returnFields": "=*"
      },
      "credentials": {
        "postgres": "<your credential>"
      },
      "typeVersion": 1
    },
    {
      "name": "MongoDB",
      "type": "n8n-nodes-base.mongoDb",
      "position": [
        500,
        300
      ],
      "parameters": {
        "fields": "text",
        "options": {},
        "operation": "insert",
        "collection": "tweets"
      },
      "credentials": {
        "mongoDb": "<your credential>"
      },
      "typeVersion": 1
    },
    {
      "name": "Slack",
      "type": "n8n-nodes-base.slack",
      "position": [
        1500,
        200
      ],
      "parameters": {
        "text": "=\ud83d\udc26 NEW TWEET with sentiment score {{$json[\"score\"]}} and magnitude {{$json[\"magnitude\"]}} \u2b07\ufe0f\n{{$json[\"text\"]}}",
        "channel": "tweets",
        "attachments": [],
        "otherOptions": {}
      },
      "credentials": {
        "slackApi": "<your credential>"
      },
      "typeVersion": 1
    },
    {
      "name": "IF",
      "type": "n8n-nodes-base.if",
      "position": [
        1300,
        300
      ],
      "parameters": {
        "conditions": {
          "number": [
            {
              "value1": "={{$json[\"score\"]}}",
              "operation": "larger"
            }
          ]
        }
      },
      "typeVersion": 1
    },
    {
      "name": "NoOp",
      "type": "n8n-nodes-base.noOp",
      "position": [
        1500,
        400
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "name": "Google Cloud Natural Language",
      "type": "n8n-nodes-base.googleCloudNaturalLanguage",
      "position": [
        700,
        300
      ],
      "parameters": {
        "content": "={{$node[\"MongoDB\"].json[\"text\"]}}",
        "options": {}
      },
      "credentials": {
        "googleCloudNaturalLanguageOAuth2Api": "<your credential>"
      },
      "typeVersion": 1
    },
    {
      "name": "Set",
      "type": "n8n-nodes-base.set",
      "position": [
        900,
        300
      ],
      "parameters": {
        "values": {
          "number": [
            {
              "name": "score",
              "value": "={{$json[\"documentSentiment\"][\"score\"]}}"
            },
            {
              "name": "magnitude",
              "value": "={{$json[\"documentSentiment\"][\"magnitude\"]}}"
            }
          ],
          "string": [
            {
              "name": "text",
              "value": "={{$node[\"Twitter\"].json[\"text\"]}}"
            }
          ]
        },
        "options": {}
      },
      "typeVersion": 1
    },
    {
      "name": "Cron",
      "type": "n8n-nodes-base.cron",
      "position": [
        100,
        300
      ],
      "parameters": {
        "triggerTimes": {
          "item": [
            {
              "hour": 6
            }
          ]
        }
      },
      "typeVersion": 1
    }
  ],
  "connections": {
    "IF": {
      "main": [
        [
          {
            "node": "Slack",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "NoOp",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Set": {
      "main": [
        [
          {
            "node": "Postgres",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Cron": {
      "main": [
        [
          {
            "node": "Twitter",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "MongoDB": {
      "main": [
        [
          {
            "node": "Google Cloud Natural Language",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Twitter": {
      "main": [
        [
          {
            "node": "MongoDB",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Postgres": {
      "main": [
        [
          {
            "node": "IF",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Google Cloud Natural Language": {
      "main": [
        [
          {
            "node": "Set",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}

Credentials you'll need

Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.

• googleCloudNaturalLanguageOAuth2Api
• mongoDb
• postgres
• slackApi
• twitterOAuth1Api

About this workflow

Etl Pipeline For Text Processing. Uses twitter, postgres, mongoDb, slack. Scheduled trigger; 9 nodes.

Source: https://github.com/Zie619/n8n-workflows — original creator credit. Request a take-down →

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