Automate Pinterest analysis & AI-powered content suggestions with Pinterest API

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2/3/2026

Test Data Generation Basic Workflow Example Manual Trigger

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

This workflow automates the collection, analysis, and summarization of Pinterest Pin data to help marketers optimize content strategy. It gathers Pinterest Pin performance data, analyzes trends using an AI agent, and delivers actionable insights to the Marketing Manager via email.

This setup is ideal for content creators and marketing teams who need weekly insights on Pinterest trends to refine their content calendar and audience engagement strategy.

Prerequisites

Before setting up this workflow, ensure you have the following:

Pinterest API Access & Developer Account

Sign up at Pinterest Developers and obtain API credentials.
Ensure you have access to both Organic and Paid Pin data.

Airtable Account & API Key

Create an account at Airtable and set up a database.
Obtain an API key from Account Settings.

AI Agent for Trend Analysis

An AI-powered agent (such as OpenAI's GPT or a custom ML model) is required to analyze Pinterest trends.
Ensure integration with your workflow automation tool (e.g., Zapier, Make, or a custom Python script).

Email Automation Setup

Configure an SMTP email service (e.g., Gmail, Outlook, SendGrid) to send the summarized results to the Marketing Manager.

Step-by-Step Guide to Automating Pinterest Pin Analysis

1. Scheduled Trigger for Data Collection

At 8:00 AM (or your preferred time), an automated trigger starts the workflow.
Adjust the timing based on your marketing schedule to optimize trend tracking.

2. Fetch Data from Pinterest API

Retrieve recent Pinterest Pin performance data, including impressions, clicks, saves, and engagement rate.
Ensure both Organic and Paid Ads data are labeled correctly for clarity.

3. Store Data in Airtable

Pins are logged and categorized in an Airtable database for further analysis.

Sample Airtable Template for Pinterest Pins

| Column Name | Description | |---------------|---------------------------------------| | pin_id | Unique identifier for each Pin | | created_at | Timestamp of when the Pin was created | | title | Title of the Pin | | description| Short description of the Pin | | link | URL linking to the Pin | | type | Type of Pin (e.g., organic, ad) |

4. AI Agent Analyzes Pinterest Trends

The AI model reviews the latest Pinterest data and identifies:

Trending Topics & Keywords
Engagement Patterns
Audience Interests & Behavior Changes
Optimal Posting Times & Formats

5. Generate Content Suggestions with AI

The AI Agent recommends new Pin ideas and content calendar updates to maximize engagement.
Suggestions include creative formats, hashtags, and timing adjustments for better performance.

6. Summary & Insights Generated by AI

A concise report is created, summarizing Pinterest trends and actionable insights for content strategy.

7. Email Report Sent to the Marketing Manager

The summary is emailed to the Marketing Manager to assist with content planning and execution.
The report includes:
- Performance Overview of Recent Pins
- Trending Content Ideas
- Best Performing Pin Formats
- AI-Generated Recommendations

This workflow enables marketing teams to automate Pinterest analysis and optimize their content strategy through AI-driven insights. 🚀

Automate Pinterest Analysis & AI-Powered Content Suggestions

This n8n workflow automates the process of fetching Pinterest data, analyzing it with AI, and generating content suggestions. It's designed to help content creators and marketers streamline their Pinterest strategy by providing actionable insights and content ideas based on their existing pins.

What it does

This workflow performs the following key steps:

Triggers on a Schedule: The workflow starts at predefined intervals (e.g., daily, weekly) to ensure regular analysis.
Fetches Pinterest Data: It makes an HTTP request to the Pinterest API to retrieve a list of your pins.
Extracts Pin Information: It processes the API response to extract relevant details from each pin, such as the description, title, and other metadata.
Generates AI-Powered Suggestions: It uses an OpenAI Chat Model via an AI Agent to analyze the extracted pin information. The AI Agent is prompted to provide content suggestions based on the existing pins.
Summarizes AI Output: A Summarization Chain is used to condense the AI Agent's output into a concise summary, making it easier to digest the content suggestions.
Stores Data in Airtable: The summarized AI suggestions and potentially other relevant data are then stored in an Airtable base for easy tracking and management.
Sends Email Notification: Finally, it sends an email via Gmail containing the generated content suggestions, ensuring that the relevant stakeholders are informed.

Prerequisites/Requirements

To use this workflow, you will need:

n8n Instance: A running n8n instance.
Pinterest API Access: An application registered with Pinterest and the necessary API credentials (e.g., Access Token) to fetch pin data.
OpenAI API Key: An API key for OpenAI to power the AI Agent and Chat Model.
Airtable Account: An Airtable account with a base and table configured to store the content suggestions.
Gmail Account: A Gmail account configured as a credential in n8n for sending email notifications.

Setup/Usage

Import the workflow: Download the provided JSON and import it into your n8n instance.
Configure Credentials:
- HTTP Request (Pinterest API): Set up an HTTP Request credential for the Pinterest API. You'll need to provide your Pinterest access token.
- OpenAI Chat Model: Configure an OpenAI credential with your OpenAI API Key.
- Airtable: Set up an Airtable credential with your API key and Base ID.
- Gmail: Configure a Gmail OAuth2 credential.
Adjust Node Settings:
- Schedule Trigger: Customize the schedule to your desired frequency (e.g., daily, weekly).
- HTTP Request: Update the Pinterest API endpoint if necessary, and ensure the headers include your authentication token.
- AI Agent: Review and adjust the prompt for the AI Agent to guide the content suggestions as needed.
- Summarization Chain: Configure the summarization prompt if you have specific requirements for the summary.
- Airtable: Specify the correct Base ID, Table Name, and map the fields to store the AI-generated suggestions.
- Gmail: Configure the recipient email address, subject, and email body to include the content suggestions.
Activate the Workflow: Once all configurations are complete, activate the workflow. It will now run automatically based on your defined schedule.

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