ETL pipeline
Ready-to-use n8n workflow template for data. This automation connects PostgreSQL, MongoDB, Twitter/X, Slack with 9 nodes. Import directly into your n8n instance and customize for your needs.
Workflow JSON
{"id": "6", "name": "ETL pipeline", "nodes": [{"name": "Twitter", "type": "n8n-nodes-base.twitter", "position": [300, 300], "parameters": {"limit": 3, "operation": "search", "searchText": "=#OnThisDay", "additionalFields": {}}, "credentials": {"twitterOAuth1Api": "twitter_api"}, "typeVersion": 1}, {"name": "Postgres", "type": "n8n-nodes-base.postgres", "position": [1100, 300], "parameters": {"table": "tweets", "columns": "text, score, magnitude", "returnFields": "=*"}, "credentials": {"postgres": "postgres"}, "typeVersion": 1}, {"name": "MongoDB", "type": "n8n-nodes-base.mongoDb", "position": [500, 300], "parameters": {"fields": "text", "options": {}, "operation": "insert", "collection": "tweets"}, "credentials": {"mongoDb": "mongodb"}, "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{{$json[\"text\"]}}", "channel": "tweets", "attachments": [], "otherOptions": {}}, "credentials": {"slackApi": "slack"}, "typeVersion": 1}, {"name": "IF", "type": "n8n-nodes-base.if", "position": [1300, 300], "parameters": {"conditions": {"number": [{"value1": "={{$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": "={{$node[\"MongoDB\"].json[\"text\"]}}", "options": {}}, "credentials": {"googleCloudNaturalLanguageOAuth2Api": "google_nlp"}, "typeVersion": 1}, {"name": "Set", "type": "n8n-nodes-base.set", "position": [900, 300], "parameters": {"values": {"number": [{"name": "score", "value": "={{$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}], "active": false, "settings": {}, "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}]]}}}How to Import This Workflow
- 1Copy the workflow JSON above using the Copy Workflow JSON button.
- 2Open your n8n instance and go to Workflows.
- 3Click Import from JSON and paste the copied workflow.
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