You will get Python Data Parser: HTML Tables and Lists to Excel/JSON/CSV
Project details
Need to transform complex data structures into actionable business intelligence? I build custom Python ETL pipelines that convert unstructured HTML tables into clean, analysis-ready spreadsheets for strategic decision-making.
My solutions leverage Python's powerful data processing libraries (pandas, BeautifulSoup, lxml) with advanced capabilities for handling dynamic content when needed (Selenium/Playwright for JavaScript-rendered documents). Unlike generic conversion tools, I deliver fully validated, cleaned datasets tailored to your specific business requirements.
What makes my service different:
SCALABILITY: Structured pricing tiers designed for projects from 100 to 30,000+ records, with clear capacity planning and delivery timelines.
FLEXIBILITY: Output delivered in your preferred format - Excel with formatted sheets, CSV with custom delimiters, JSON with nested structures, or specialized formats for your data pipeline.
QUALITY ASSURANCE: Every dataset includes validation checks, duplicate removal, and data cleaning protocols to ensure accuracy and consistency for your analytics workflows.
My solutions leverage Python's powerful data processing libraries (pandas, BeautifulSoup, lxml) with advanced capabilities for handling dynamic content when needed (Selenium/Playwright for JavaScript-rendered documents). Unlike generic conversion tools, I deliver fully validated, cleaned datasets tailored to your specific business requirements.
What makes my service different:
SCALABILITY: Structured pricing tiers designed for projects from 100 to 30,000+ records, with clear capacity planning and delivery timelines.
FLEXIBILITY: Output delivered in your preferred format - Excel with formatted sheets, CSV with custom delimiters, JSON with nested structures, or specialized formats for your data pipeline.
QUALITY ASSURANCE: Every dataset includes validation checks, duplicate removal, and data cleaning protocols to ensure accuracy and consistency for your analytics workflows.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$30
|
Standard
$70
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Frequently asked questions
About Vasyl
Full-Stack Developer & Automation Specialist | React, Node.js
Uzhhorod, Ukraine - 6:04 am local time
I am a Full-Stack Developer specializing in building modern web applications, robust REST APIs, and automated business solutions. I turn complex requirements into fast, reliable, and user-friendly software that helps businesses grow and automate their daily operations.
💻 My Core Tech Stack & Capabilities:
Frontend Development: React, TypeScript / JavaScript, modern UI architecture, and responsive design.
Backend & APIs: Node.js, Express, RESTful API design, and custom third-party integrations.
Databases: PostgreSQL, relational database design, complex SQL queries, and data optimization.
Telegram Bots & Lead Generation: Designing custom Telegram bots and building automated lead-capture pipelines (e.g., instant Telegram notifications from Google Forms or website submissions).
Business Automation: Custom Google Apps Script (GAS), Google Sheets automation, custom ERP/CRM dashboards, and data scraping.
Tools & Architecture: Git / GitHub version control, clean code principles, and scalable system design.
💡 How I Work With You:
I believe good software is about solving real business problems. I focus on writing maintainable code, preventing edge-case bugs, and providing clear, proactive communication from project kickoff to deployment.
Ready to build your web application or automate your lead generation? Send me a message, and let’s discuss your project!
Steps for completing your project
After purchasing the project, send requirements so Vasyl can start the project.
Delivery time starts when Vasyl receives requirements from you.
Vasyl works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements Analysis & Technical Planning
I analyze the source structure, identify the optimal extraction method (HTTP requests vs. browser automation), and create a technical specification document. This ensures efficient data processing and prevents issues during implementation.
Script Development & Quality Assurance
Build the Python automation script with robust error handling, data validation, and progress logging. Test thoroughly with sample data to ensure accuracy and reliability before processing the full dataset.