Scrape Political Posts → AI Content Analysis → Generate Report

advanced45 minPublished Apr 16, 2026
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Automatically collect political social media posts, analyze them for AI-generated content using machine learning, and create weekly intelligence reports for journalists and researchers.

Workflow Steps

1

Apify

Scrape social media posts

Set up Apify scrapers to collect posts from specific political figures' Twitter, Truth Social, and Facebook accounts. Configure to run daily and capture post content, images, engagement metrics, and timestamps.

2

OpenAI API

Analyze content for AI generation

Send collected posts through ChatGPT API with prompts designed to identify AI-generated text and images. Set up confidence scoring and flag potentially artificial content with reasoning.

3

Google Sheets

Store analysis results

Automatically populate a Google Sheet with scraped content, AI analysis scores, confidence levels, and flagged posts. Include columns for manual verification and notes.

4

Google Docs

Generate weekly reports

Use Google Apps Script to automatically compile weekly reports from the Sheet data, highlighting trends in AI content usage, most flagged accounts, and notable examples with charts and summaries.

5

Gmail

Email report to stakeholders

Set up automated email delivery of the generated reports to journalists, researchers, or team members every Monday morning with PDF attachments and executive summaries.

Workflow Flow

Step 1

Apify

Scrape social media posts

Step 2

OpenAI API

Analyze content for AI generation

Step 3

Google Sheets

Store analysis results

Step 4

Google Docs

Generate weekly reports

Step 5

Gmail

Email report to stakeholders

Why This Works

Combines web scraping, AI analysis, and automated reporting to provide systematic monitoring of AI-generated political content at scale, saving dozens of hours of manual research.

Best For

Journalists and researchers tracking AI content in political communications

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