AI Agents

Automate the data mining process using Google Gemini

19 nodes 207 122 Automatic trigger
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Workflow Description

Automate large-scale data extraction and analysis using Google Gemini's advanced AI capabilities. Process information efficiently through intelligent batch splitting, categorize extracted insights, and store results in organized formats automatically, saving time and resources.

How it works

  1. 1.Trigger the workflow manually to initiate the data mining process
  2. 2.Split incoming data into batches for parallel and efficient processing
  3. 3.Send batches to Google Gemini for intelligent analysis and insight extraction
  4. 4.Extract and structure key information according to defined parameters
  5. 5.Save processed results to files or publish to social platforms like Twitter/X

Use cases

  • Extract and organize data from multiple sources automatically
  • Analyze large document volumes and categorize them by topic or intent
  • Monitor social media channels and extract actionable insights
  • Web scraping and data transformation for downstream analytics

Requirements

  • Valid API credentials for Google Gemini and OpenAI
  • Source data files in supported formats (CSV, JSON, TXT)
  • Reliable internet connectivity and adequate storage capacity

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 207
Downloads 122

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