Extract PDF Tables to Excel with Python | Split by Header into Multiple Sheets

*Chapters* 00:00 – Introduction: The 107-Page PDF Extraction Challenge 01:00 – Project Goal: Extract PDF Tables into Multi-Sheet Excel 01:30 – Code Overview: PyMuPDF with Helper Functions 02:00 – Explaining get_table_boundaries() Function 04:00 – Explaining get_column_x_coordinate() Function 04:30 – Main Script: Opening PDF & Defining Columns 06:00 – Creating Page-to-Header Mapping for Grouping 08:30 – Main Loop: Processing Pages 5 to 107 with PyMuPDF 10:30 – Smart Table Detection Logic (Unit vs. Season Tables) 12:00 – Extracting Tables with find_tables() Method 14:00 – Data Cleaning & Converting Strings to Numeric 15:30 – Grouping Extracted Tables & Writing to Excel Sheets 16:30 – Final Output: Organized 3-Sheet Excel File Struggling with large, messy PDFs full of tables? 📑 In this advanced Python tutorial, I’ll show you how to extract tables from a 107-page PDF and automatically split them into multiple Excel sheets grouped by their headers. Using PyMuPDF (fitz) with smart table detection, we’ll solve common challenges like: ✔️ Tables spanning across multiple pages ✔️ PDFs with no borders or gridlines ✔️ Dynamic headers that change by section ✔️ Data cleaning & converting values into numeric formats ✔️ Grouping results by header and exporting to Excel sheets By the end, you’ll have a robust, reusable Python script that transforms unstructured PDF data into clean, structured Excel files — saving hours of manual work. 🚀 #Python #DataExtraction #PDF #Automation #PyMuPDF #Excel #DataAnalysis #PythonTutorial Contact me for any project or VBA Automation. Contacts: Fiverr: https://www.fiverr.com/s/5rdZD6k Email: [email protected] WhatsApp: +8801515649307 LinkedIn: https://www.linkedin.com/in/md-ismail-hosen-b77500135/ Facebook: https://www.facebook.com/mdismail.hosen.7 YouTube: https://www.youtube.com/channel/UCL-q7_WvISkw0Ox9FRBBzmw