You will get PDF to Excel / CSV with Python — Clean, Structured Data from Your Documents
Project details
I help clients convert PDF files into clean, structured Excel or CSV files using Python. With a focus on accuracy, automation, and practical solutions, I save you time and reduce errors in data processing. Whether you have 10 pages or hundreds, I deliver reliable results tailored to your needs. My work is efficient, thorough, and designed to make your data immediately usable.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$15
|
Standard
$45
|
Advanced
$90
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Number of Pages Mined/Scraped | 10 | 50 | 400 |
Number of Sources Mined/Scraped | 1 | 3 | 10 |
Optional add-ons
You can add these on the next page.
Additional Revision
+$10
Additional Source Mined/Scraped
(+ 1 Day)
+$10Frequently asked questions
About Igor
Junior Python Developer | Automating Data Workflows & File Processing
Riga, Latvia - 1:54 pm local time
What I can do for you:
Clean, structure, and transform messy data
Convert files between JSON, CSV, and Excel
Extract text from PDFs (using pdfplumber)
Automate repetitive tasks and reports
Perform web scraping with BeautifulSoup4 and Requests
Why clients like working with me:
Clean, well-documented, and maintainable code
Fast and clear communication
Practical problem-solving for real-world data challenges
On-time delivery and flexible for improvements
Steps for completing your project
After purchasing the project, send requirements so Igor can start the project.
Delivery time starts when Igor receives requirements from you.
Igor works on your project following the steps below.
Revisions may occur after the delivery date.
Receive files & requirements
I will review the PDFs and your instructions to ensure I understand the structure and formatting needed.
Data extraction & conversion
I will use Python to extract text and convert it into a clean Excel or CSV file according to your instructions.