You will get Automated Text Data Parsing & Structuring (Python/Streamlit)
Project details
This project offers a streamlined solution for converting your unstructured text data (like notes, logs, or reports) into clean, organized, and usable formats. Leveraging Python and Streamlit, I will develop custom parsing logic or a dedicated web application to accurately extract specific data points, saving you significant time and effort in manual data entry and preparation. Ideal for businesses and individuals needing efficient data structuring for analysis, reporting, or database integration.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$75
|
Standard
$200
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Number of Pages Mined/Scraped | 500 | 5000 | 20000 |
Number of Sources Mined/Scraped | 1 | 1 | 1 |
Optional add-ons
You can add these on the next page.
Additional Revision
+$25About Owen
Financial Data Analyst | Excel & Python Automation Specialist.
Adell, United States - 11:35 pm local time
I specialize in small, efficient freelance jobs like:
Automating financial reports or Excel spreadsheets using Python or formulas
Cleaning up messy data files (CSVs, Excel, PDFs)
Creating budget or loan calculators
Building dashboards or basic tools for small businesses
Custom Google Sheets or Excel workflows
🔐 With a foundation in both banking and cybersecurity, I understand the importance of data privacy, accuracy, and professional communication.
Let’s work together — whether you need a fast turnaround on a spreadsheet or a dependable beginner dev for your first web tool, I’m here to help and always learning fast.
Steps for completing your project
After purchasing the project, send requirements so Owen can start the project.
Delivery time starts when Owen receives requirements from you.
Owen works on your project following the steps below.
Revisions may occur after the delivery date.
Review Requirements
Once your order is placed, I'll thoroughly review your provided sample data and extraction goals. I may ask clarifying questions to ensure a complete understanding of your data's nuances and your exact needs.
Develop Logic
I will develop and refine the Python parsing logic (using libraries like Pandas and potentially Regular Expressions) specifically tailored to extract your desired data points from the text.