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: []