AI Agents

Extract and summarize company data with Airtable and Gemini

19 nodes 296 146 Automatic trigger
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Workflow Description

An automation that retrieves company data from multiple sources, processes it in batches, and generates summaries using Google Gemini's AI capabilities. Results are automatically organized and stored in Airtable for review and analysis.

How it works

  1. 1.Trigger the workflow manually and send an HTTP request to fetch company data from your data sources
  2. 2.Process the retrieved data in separate batches using the Split In Batches node
  3. 3.Route each batch through an intelligent agent with LLM Chain to extract key information
  4. 4.Apply Gemini model to automatically summarize the extracted data and insights
  5. 5.Store the extracted data and summaries in dedicated Airtable tables for centralized access

Use cases

  • Collect company information from web pages and automatically store summaries in a unified database
  • Monitor competitor and customer data updates, organizing them in Airtable without manual effort
  • Generate executive summaries from multi-source data collection automatically each day

Requirements

  • Active Google Gemini account with API credentials properly configured
  • Airtable database prepared with structured tables ready to receive data and summaries
  • External data sources or accessible API endpoints configured for data extraction

Service Value

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

Apps Used

Gemini HTTP Request AI Agent LLM Chain Split In Batches Airtable

Details

Trigger Automatic trigger
Nodes 19
Apps 6
Views 296
Downloads 146

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

Google Gemini Chat Model For Summarization

Gemini Model

#2

Webhook HTTP Request

HTTP Request

#3

Sticky Note

Sticky Note

#4

Sticky Note1

Sticky Note

#5

Perform Indeed Web Request

HTTP Request

#6

Indeed Expert AI Agent

Agent

#7

Google Gemini Chat Model

Gemini Model

#8

Markdown to Textual Data Extractor

LLM Chain

#9

Convert Markdown to HTML

Markdown

#10

Initiate a Webhook Notification for Markdown to HTML Response

HTTP Request

#11

Set Bright Data Zone

Set

#12

Loop Over Items

Split In Batches

#13

Airtable

Airtable

#14

If Link field is not empty

If

#15

Wait

Wait

#16

Indeed Summarizer

Chain Summarization

#17

Sticky Note2

Sticky Note

#18

Google Gemini Chat Model for AI Agent

Gemini Model

#19