Media

This tool processes a Facebook group data export (JSON) and extracts all posts and comments into clean, organized CSV files. It’s for group admins and researchers who need to archive or analyze discussions offline. The key benefit is turning Facebook’s complex nested JSON into simple, spreadsheet-ready data. Features Extract posts with metadata (author, timestamp, reactions) Extract all comments and nested replies with threading Handle media links and post attachments in export Output to separate, well-structured CSV files Filter exports by date range or specific authors Usage facebook_group_export --input your_facebook_data/group_activity....

This tool processes Instagram data you’ve exported to JSON files and converts it into clean, structured Excel workbooks. It’s for analysts and marketers who need to analyze Instagram insights, posts, or audience data offline. The key benefit is turning messy JSON exports into ready-to-use Excel sheets with charts and tables. Features Parse Instagram JSON export files (posts, profile, insights) Generate separate Excel sheets for posts, followers, and engagement metrics Auto-calculate summary statistics (likes, comments, engagement rate) Create pivot tables and basic charts for visual analysis Export to XLSX with custom formatting and date filters Usage instagram_to_excel --input exported_data....

Creates fake social media metrics including likes, shares, comments, and followers with realistic patterns. Perfect for developers building social media dashboards, marketers creating mock reports, and testing analytics tools without real account access. Features Generate fake follower counts with realistic growth patterns Create authentic-looking engagement metrics (likes, comments, shares) Export data in CSV, JSON, or Excel formats Customizable platform selection (Instagram, Twitter, Facebook, TikTok) Configurable time ranges and metric distributions Usage python fake_metrics....

Python CLI tool that reads post content from CSV files and schedules Instagram uploads with AI-generated captions. Works with pre-exported Instagram data files and generates optimal posting times. Perfect for content creators and social media managers who want consistent posting without manual scheduling. Features Reads post content, images paths, and hashtags from CSV input files Generates optimized posting schedules based on engagement analytics Creates AI-powered captions using local LLM integration Exports ready-to-use Instagram post schedules in JSON format Validates image formats and sizes before generating upload batches Usage python instagram_scheduler....