Automate Pinterest analysis & AI-powered content suggestions with Pinterest API
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 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. 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. 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) | 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 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. Summary & Insights Generated by AI A concise report is created, summarizing Pinterest trends and actionable insights for content strategy. 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. đ
By Marketing CanopyAutomated meta token renewal system with Graph API and data storage
Meta long-lived user tokens typically expire after ~60 days. If a token expires, any workflows that rely on it start failing. Manual renewal is easy to forget and time consuming. This template monitors the token you store in an n8n Data Table and refreshes it automatically before expiration, so your social automations keep running without surprises or late-night fire drills. Whoâs it for Agencies, marketing team, creators managing Meta apps or scheduled social automations Anyone tired of âtoken expiredâ errors breaking flows at 2 a.m. How it works / What it does Triggers: scheduled every 10 days, plus a Manual Trigger for testing. Reads: pulls the current token row from your "Meta credential" Data Table (fields: token and expires_at). Decides: IF the token expires in ⤠15 days, proceed to renewal; otherwise do nothing. Calls the Graph API to get a new access token Updates: computes the new ISO expiresat from expiresin and writes the fresh token + expires_at back to the Data Table. Note: Meta typically issues ~60-day long-lived tokens; confirm for your app. Requirements A Meta app with an initial (short-lived or long-lived) user access token n8n Data Tables enabled (you might need to update your instance to see the option) and a table named "Meta credential" with: token (string) expires_at (datetime) How to set up Create the data table: name it "Meta credential" with columns "token" and "expires_at". Insert one row with your current token and its expiration date. Configure the IF node "Needs renewal?": keep (or tweak) the 15-day threshold logic. Run once with the Manual Trigger to validate, then enable the Schedule Trigger (10-day cadence by default). How to customize the workflow Change the Schedule Trigger interval and hour. Notify on renewal: Add a Slack/Email node after "Update Record" to alert on token refreshes.
By Geoffroy