ETL pipeline — AI Product | Success.
ETL pipeline ETL pipeline — free, ready-to-import n8n workflow (9 nodes, Slack Discord Chat).
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Understand this workflow before you use it.
Full structure No issues found by static checks Health 91/100 Full workflow structure analyzed Every step's connections are present in the source file, so the flow, paths and structure below reflect the real workflow.
This workflow starts from Cron and works with chat messaging, content publishing, a database and a schedule.
Steps 9
Integrations 4
Connections 8
Complexity Intermediate
Technical health 91/100
Security None found Sale models Live demo Payments run through a deterministic mock provider in this environment — no real money moves.
**ETL pipeline**
Category: Slack Discord Chat · 9 nodes
Nodes/integrations used: cron, googleCloudNaturalLanguage, mongoDb, postgres, slack, twitter
How to use: download the JSON below, then in n8n choose Import from File (or open the demo link, copy the JSON, and paste with Ctrl+V into the n8n canvas). Add your own credentials and activate.
Source: enescingoz/awesome-n8n-templates (CC-BY-4.0). Credentials were removed and files modified for redistribution — see the library's ATTRIBUTION_AND_LICENSES.md for full license text.
Slack
Twitter Workflow structure Interactive diagram Arrows are real connections from the workflow file.
Select a step to see what it is and how it fits in.
Security Nothing to review 0 Critical0 High0 Medium0 Low0 InfoStatic checks found nothing that needs review. This is not a guarantee of safety.
Health How the technical score is made up Overall 91/100 .
Technical hygiene signals detected statically from the workflow file. Not a guarantee of correctness or fitness for a particular use.
Execution profile What one run touches Starts from: Cron
Database operations 2
Messages sent 1 Documentation Generated from the workflow's structure What it does This workflow starts from Cron and works with chat messaging, content publishing, a database and a schedule.
Services involved: Mongo Db, PostgreSQL, Slack and Twitter.
This description is generated from the workflow's node types and wiring. It does not interpret each node's configuration.
Inputs Data enters through the trigger(s) below.
Main flow The longest path runs through 8 steps:
It branches at 1 point(s) and merges at 0.
Cron Twitter MongoDB (Mongo Db) Google Cloud Natural Language Set Postgres (PostgreSQL) If Slack Requirements No credentials are attached in this file. You will need your own n8n credentials for each service below.
Twitter PostgreSQL Mongo Db Slack Setup Import the JSON file into n8n (Workflows → Import from File). Create credentials for each service and select them on the matching nodes. Run it once manually with test data before activating. Important considerations No node is configured to retry or continue on failure.
There is no Error Trigger in this workflow.
No error handling around external calls Generated automatically from the workflow's structure. Verify behaviour in n8n before relying on it.
Automated static analysis (engine 1.1.0). Nothing was executed. Not a guarantee of correctness or safety.
The seller has not attached downloadable files yet.
Uploaded by the seller and security-scanned before any buyer can download them.
Documentation
LeadBot 24h — WhatsApp AI Lead Qualification Bot — free, ready-to-import n8n workflow (6 nodes, WhatsApp).
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