AI Agents

Automate data mining with Google Gemini and intelligent analysis

19 nodes 299 141 Automatic trigger
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Workflow Description

Streamline data extraction from multiple sources using Gemini and OpenAI models for smart analysis, process information in batches, and save structured results to files automatically.

How it works

  1. 1.Trigger the workflow manually and prepare data sources for processing
  2. 2.Process data in batches using Gemini's AI model for intelligent analysis
  3. 3.Extract and classify key information automatically from the data
  4. 4.Save extracted results to organized files with proper formatting
  5. 5.Distribute results via Twitter/X or other integrated platforms

Use cases

  • Extract and summarize web articles and news in bulk
  • Analyze social media comments to identify trends and sentiment
  • Scrape product data from e-commerce sites and organize it
  • Process email lists and automatically sort priority messages

Requirements

  • Valid Google Gemini API key configured
  • Twitter/X account with API access for publishing (optional)
  • File system permissions for reading and writing results
  • OpenAI API key for enhanced analysis capabilities (optional)

Service Value

Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.

Apps Used

Gemini Split In Batches Twitter/X Read Write File OpenAI

Details

Trigger Automatic trigger
Nodes 19
Apps 5
Views 299
Downloads 141

How to Use

  1. 1.Click "Download Template"
  2. 2.Open your n8n dashboard
  3. 3.Go to Workflows > Import from File
  4. 4.Select downloaded file and configure credentials

Nodes Used (19)

/

When clicking ‘Test workflow’

Manual Trigger

#1

Sticky Note

Sticky Note

#2

Sticky Note1

Sticky Note

#3

Set Esty Search Query

Set

#4

Perform Esty Web Request

HTTP Request

#5

Google Gemini Chat Model

Gemini Model

#6

Loop Over Items

Split In Batches

#7

Perform Esty web request over the loop

HTTP Request

#8

Initiate a Webhook Notification for the extracted data

HTTP Request

#9

Extract Item List with the Product Info

Information Extractor

#10

Google Gemini Chat Model for product info

Gemini Model

#11

Extract Paginated Resultset

Information Extractor

#12

Sticky Note2

Sticky Note

#13

Write the scraped content to disk

Read Write File

#14

Create a binary data

Function

#15

Split Out

Split Out

#16

Extract Paginated Resultset With OpenAI

Information Extractor

#17

OpenAI Chat Model

OpenAI

#18

Sticky Note3

Sticky Note

#19