AI Agents

Search and summarize web data using Gemini AI technology and Bright Data in

17 nodes 202 116 Automatic trigger
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Workflow Description

A workflow that retrieves web data through Bright Data, processes and splits lengthy content intelligently, summarizes it using Gemini AI's language model, and automatically publishes results to X/Twitter. Includes conditional logic for smart data handling.

How it works

  1. 1.Trigger the workflow manually and input your search query or target URL
  2. 2.Fetch raw web data using Document Default Data Loader and normalize the content
  3. 3.Split lengthy texts into manageable chunks using Recursive Character Text Splitter
  4. 4.Chain the text segments through Gemini's LLM for intelligent summarization
  5. 5.Apply conditional rules to handle different data types and quality thresholds
  6. 6.Post final summaries to X/Twitter or save results to your database

Use cases

  • Monitor industry news and competitor updates, then auto-summarize and share with your team daily
  • Aggregate research from multiple websites into concise daily or weekly digest reports
  • Track social media conversations and extract key insights from high-volume mentions
  • Analyze customer reviews and feedback across platforms, delivering consolidated summaries

Requirements

  • Valid Gemini API key from Google Cloud Console
  • Bright Data account credentials with active data collection access
  • Active X/Twitter account and authenticated API connection for publishing summaries

Service Value

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

Apps Used

Gemini Document Default Data Loader Text Splitter Twitter/X LLM Chain

Details

Trigger Automatic trigger
Nodes 17
Apps 5
Views 202
Downloads 116

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 (17)

/

When clicking ‘Test workflow’

Manual Trigger

#1

Google Gemini Chat Model

Gemini Model

#2

Default Data Loader

Document Default Data Loader

#3

Recursive Character Text Splitter

Text Splitter Recursive Character Text Splitter

#4

If

If

#5

Set Snapshot Id

Set

#6

Download Snapshot

HTTP Request

#7

Google Gemini Chat Model1

Gemini Model

#8

Wait

Wait

#9

Check on the errors

If

#10

Sticky Note

Sticky Note

#11

Webhook Notifier

HTTP Request

#12

Sticky Note1

Sticky Note

#13

Perplexity Search Request

HTTP Request

#14

Check Snapshot Status

HTTP Request

#15

Readable Data Extractor

Information Extractor

#16

Summarization of search result

Chain Summarization

#17