AI Agents

Airtable automation

51 nodes 205 122 Automatic trigger
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Workflow Description

An intelligent automation connecting Airtable with advanced language models for data processing and enrichment. The system extracts information from records, refines it through smart workflows, and returns results to Airtable or shares them on social media platforms.

How it works

  1. 1.Trigger workflow manually or automatically to initiate the process
  2. 2.Extract and filter records from Airtable tables based on defined criteria
  3. 3.Process data through language models (OpenRouter and Anthropic) for analysis and content enhancement
  4. 4.Merge results and apply conditional logic for intelligent routing
  5. 5.Share outputs to Twitter/X or save processed data back to Airtable

Use cases

  • Enrich Airtable databases with intelligent analysis and automatic summaries
  • Publish AI-processed content to social media directly from stored data

Requirements

  • Active Airtable account with API access and table editing permissions
  • API keys for OpenRouter and Anthropic to access advanced language models

Service Value

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

Apps Used

Output Parser Lm Chat Open Router Twitter/X LLM Chain Anthropic Airtable

Details

Trigger Automatic trigger
Nodes 51
Apps 6
Views 205
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 (51)

/

When clicking ‘Test workflow’

Manual Trigger

#1

Filter

Filter

#2

Structured Output Parser

Output Parser Structured

#3

Perplexity

Lm Chat Open Router

#4

Filter1

Filter

#5

Extract Structured Data

Information Extractor

#6

Research URL

LLM Chain

#7

Extract URL

LLM Chain

#8

Merge Extracted Data

Merge

#9

Split TC Articles

Split Out

#10

TC HTML Parser

HTML Page

#11

Split VB Articles

Split Out

#12

VB HTML Parser

HTML Page

#13

Venturebeat (VB)

HTTP Request

#14

Techcrunch (TC)

HTTP Request

#15

Claude 3.5 Sonnet

Lm Chat Anthropic

#16

Claude 3.5 Haiku

Lm Chat Anthropic

#17

Collect Data

Set

#18

Airtable

Airtable

#19

Sticky Note1

Sticky Note

#20

Sticky Note3

Sticky Note

#21

Sticky Note4

Sticky Note

#22

Sticky Note5

Sticky Note

#23

Sticky Note6

Sticky Note

#24

Sticky Note7

Sticky Note

#25

Sticky Note8

Sticky Note

#26

Sticky Note9

Sticky Note

#27

Sticky Note10

Sticky Note

#28

Sticky Note11

Sticky Note

#29

Sticky Note12

Sticky Note

#30

Sticky Note2

Sticky Note

#31

Auto-fixing Output Parser

Output Parser Autofixing

#32

Extract Structured JSON

Output Parser Structured

#33

Sticky Note13

Sticky Note

#34

Prompts

Set

#35

Deep Research

HTTP Request

#36

Pick data (Perplexity)

Set

#37

Pick data (jina)

Set

#38

Sticky Note

Sticky Note

#39

When Executed by Another Workflow

Execute Workflow Trigger

#40

JINA Deep Search

HTTP Request

#41

Write Results to Airtable

Airtable

#42

Extract Structured Data

LLM Chain

#43

Sticky Note14

Sticky Note

#44

Route to Deep Research

Execute Workflow

#45

Parse TC XML

Xml

#46

Parse VB XML

Xml

#47

Sticky Note15

Sticky Note

#48

Claude 3.5 Sonnet

Lm Chat Anthropic

#49

Get Funding Article HTML for scraping (TC)

HTTP Request

#50

Get Funding Article HTML for scraping (VB)

HTTP Request

#51

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