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Automate Pinterest Analysis & AI-Powered Content Suggestions With Pinterest API

Configured with Agent, Airtable, Airtable Tool, Chain Summarization, and additional nodes. Review the connections and setup before adapting this template.

Workflow preview
AI & modelsOpenAI Chat ModelOpenAI Chat ModelData storeAirtable2Airtable ToolAI & modelsOpenAI Chat Model1OpenAI Chat ModelTrigger8:00am MorningScheduled TriggerSchedule TriggerWeb / APIPull List of PinterestPins From AccountHTTP RequestCodeUpdate Data Field ToInclude OrganicCodeData storeCreate Record WithinPinterest Data TableAirtableAI & modelsPinterest Analysis AIAgentAgentAI & modelsPinterest Data AnalysisSummary LLMChain SummarizationMessagingSend Marketing Trends &Pinterest Analysis To…Gmail

Node categories in this workflow

  • AI & models
  • Data store
  • Trigger
  • Web / API
  • Code
  • Messaging

Icons describe general node roles, inferred from node types. Inspect the parameters for the configured action.

Drag to pan; use + and − to zoom. Reconstructed from the exported node positions; nothing runs here. Dashed lines represent non-main connections. Full node names and notes appear below.

How it works

The exported workflow contains the following configured nodes. Their connections are shown above; inspect the JSON for the complete logic, expressions, and external actions.

Workflow node names, types, and operations
NodeCategoryTypeOperation
OpenAI Chat ModelAI & modelsOpenAI Chat ModelSee node parameters
Airtable2Data storeAirtable ToolSee node parameters
OpenAI Chat Model1AI & modelsOpenAI Chat ModelSee node parameters
8:00am Morning Scheduled TriggerTriggerSchedule TriggerSee node parameters
Pull List of Pinterest Pins From AccountWeb / APIHTTP RequestSee node parameters
Update Data Field To Include OrganicCodeCodeSee node parameters
Create Record Within Pinterest Data TableData storeAirtableupsert
Pinterest Analysis AI AgentAI & modelsAgentSee node parameters
Pinterest Data Analysis Summary LLMAI & modelsChain SummarizationSee node parameters
Send Marketing Trends & Pinterest Analysis To Marketing ManagerMessagingGmailSee node parameters

Setup

  1. Download the JSON and import it into an isolated n8n instance. Leave the workflow inactive.
  2. Connect your own credentials through n8n’s credential store. Replace REPLACE_WITH_* values with your resource identifiers.
  3. Inspect API destinations, Code nodes, database queries, file paths, and outbound actions.
  4. Run with synthetic data and harmless destinations. Enable triggers only after checking the actual outputs.

Requirements

An n8n instance with the listed node types and compatible versions. Service-connected workflows may require accounts, credentials, or paid APIs.

Credential types declared in the source

  • airtableTokenApi
  • gmailOAuth2
  • openAiApi

Workflow notes

Sticky Note

Scheduled trigger at 8:00am to start the workflow.

This can be updated to your schedule preference as an email with marketing trends can be sent to best fit one's schedule.

Sticky Note1

Scheduled trigger begin process to gather Pinterest Pin data and store them within Airtable. This data can be referenced or analyzed accordingly.

*If you would like to bring in Pinterest Ads data, the data is already labeled as Organic.

This is perfect for those who are creating content calendars to understand content scheduling.

Sticky Note2

AI Agent will go through Pinterest Pins and analyze any data and trends to be able to reach target audience. The data is then summarized within the Summary LLM.

The summarized results are then sent to the Marketing Manager within an email to help lead content creation efforts.

Automate Pinterest Analysis & AI-Powered Content Suggestions With Pinterest API

Automate Pinterest Analysis & AI-Powered Content Suggestions With Pinterest API

Purpose and structure

This folder contains the Automate Pinterest Analysis & AI-Powered Content Suggestions With Pinterest API workflow. Its executable nodes use agent, airtable, airtableTool, chainSummarization, code, gmail, httpRequest, lmChatOpenAi, scheduleTrigger. The table and connection map below are derived from the JSON, not an inferred guarantee of behavior.

Setup

Import inactive. Configure your own credentials and replace REPLACE_WITH_* values. Review external destinations and Code nodes before running.

Entry points

8:00am Morning Scheduled Trigger

Verification

Sanitized source candidate; not runtime-tested. This overview is generated from node metadata. Read the folder README for the connection map, credential types, and license.

Attribution

https://github.com/Zie619/n8n-workflows/blob/94007c1445d9258a7da116646b79473e7c7c3282/workflows/Code/1331_Code_Schedule_Automate_Webhook.json MIT; preserve source notices.

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