Extracted and Structured Mercado Pago Transaction Data
- Day: 2025-03-15
- Time: 01:05 to 01:50
- Project: Accounting
- Workspace: WP 2: Operational
- Status: Completed
- Priority: MEDIUM
- Assignee: Matías Nehuen Iglesias
- Tags: Mercado Pago, Transaction Data, Pdf Extraction, CSV, Error Handling
Description
Session Goal
The main objective of this session was to extract and structure transaction data from a Mercado Pago account statement into a CSV format for financial tracking.
Key Activities
- Analyzed the structure of a Mercado Pago account statement to understand transaction classifications and financial tracking suggestions.
- Extracted transaction data from a PDF, structured it into a table, and saved it as a CSV file.
- Addressed issues with garbled text during PDF extraction by discussing the use of OCR and alternative PDF parsing methods due to Tesseract OCR limitations.
- Successfully extracted and structured transaction data, ensuring multi-line transaction IDs and descriptions were processed correctly.
- Diagnosed and fixed Python script errors related to header and transaction line processing, enhancing error handling.
Achievements
- Completed the extraction and structuring of transaction data into a CSV file, making it available for download.
- Resolved technical issues related to PDF text extraction and Python script errors, ensuring robust data processing.
Pending Tasks
- Further optimization of the PDF extraction process to handle more complex statement structures.
- Exploration of additional OCR solutions to improve text extraction accuracy.
Evidence
- source_file=2025-03-15.sessions.jsonl, line_number=1, event_count=0, session_id=1743c1d5f15acca2162e04cfb9e9790e8274129fa76a7d6eafb142250e068f00
- event_ids: []