You will get clean and organized Excel or CSV data
Project details
I will clean, organize, and standardize your Excel or CSV data so it is accurate, consistent, and ready to use.
Using Python and pandas, I can handle common data-quality problems such as duplicate records, missing values, inconsistent formatting, incorrect data types, inconsistent names or categories, and poorly structured columns. I can also normalize dates, numbers, text fields, and other structured information according to your requirements.
My process focuses on more than simply formatting a spreadsheet. I inspect the dataset, identify data-quality issues, apply the agreed cleaning rules, and perform validation checks before delivering the final file.
You will receive a clean and organized dataset in Excel, CSV, or JSON format. The Advanced package can also include the Python/pandas processing script for repeatable data preparation.
This project is suitable for business lists, research datasets, product data, contact databases, reports, and other structured datasets that need reliable cleaning and organization.
Using Python and pandas, I can handle common data-quality problems such as duplicate records, missing values, inconsistent formatting, incorrect data types, inconsistent names or categories, and poorly structured columns. I can also normalize dates, numbers, text fields, and other structured information according to your requirements.
My process focuses on more than simply formatting a spreadsheet. I inspect the dataset, identify data-quality issues, apply the agreed cleaning rules, and perform validation checks before delivering the final file.
You will receive a clean and organized dataset in Excel, CSV, or JSON format. The Advanced package can also include the Python/pandas processing script for repeatable data preparation.
This project is suitable for business lists, research datasets, product data, contact databases, reports, and other structured datasets that need reliable cleaning and organization.
Data Tool
pandasWhat's included
| Service Tiers |
Starter
$30
|
Standard
$60
|
Advanced
$120
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 1 | 2 | 3 |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Toolbar Integration | - | - | - |
Frequently asked questions
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AT
Abel T.
Apr 30, 2026
Python Web Scraping & Automation Engineer — Lead Generation (Data Extraction + API Integration)
Girma was an excellent Python Web Scraping & Automation Engineer for my lead generation project, focused on data extraction and API integration. He understood the requirements clearly and delivered a solution that was accurate, reliable, and well organized. Girma handled the scraping and automation process professionally, ensuring the extracted data was clean and properly formatted. He also integrated the solution with APIs effectively, and the overall workflow worked smoothly as expected. Communication was strong throughout—he provided updates on time and responded quickly to questions or revisions. I’m very satisfied with the quality of his work and would confidently hire Girma again for future web scraping and automation needs.
About Girma
Python Automation & Data Engineer | Web Scraping Specialist
Addis Ababa, Ethiopia - 8:41 am local time
I specialize in converting complex, unstructured web data into production-ready datasets (CSV, Excel, JSON, SQL). Whether you need to extract data from dynamic JavaScript platforms, structure large-scale directory listings, or build continuous data pipelines, I deliver clean, maintainable systems tailored to your business goals.
Core Technical Expertise:
Web Data Extraction: Scrapy, Selenium, Playwright, BeautifulSoup, Requests
Dynamic Site Handling: JavaScript-rendered pages, AJAX content, infinite scrolling, resilient pagination
Data Engineering & ETL: API integration, structured data pipelines, database storage (SQL/NoSQL)
Data QA: Automated cleaning, normalization, deduplication, and schema validation
Custom Solutions I Build:
Market & E-Commerce Intelligence: Automated gathering of publicly available product, pricing, and catalog data.
Directory & Business Listing Aggregation: Structured extraction from public directories and B2B portals.
Workflow & Process Automation: Custom Python scripts to replace repetitive manual data operations.
Continuous Data Pipelines: Automated extraction workflows feeding directly into your database or cloud infrastructure.
Deliverables You Receive:
Clean, normalized dataset in your preferred format (CSV, Excel, JSON, or SQL database)
Well-documented, reproducible Python source code
Execution guidelines and deployment support for local or cloud environments
All automation solutions are built in accordance with standard web protocols and site accessibility guidelines.
Steps for completing your project
After purchasing the project, send requirements so Girma can start the project.
Delivery time starts when Girma receives requirements from you.
Girma works on your project following the steps below.
Revisions may occur after the delivery date.
Review the Dataset
I inspect the provided Excel or CSV file and identify duplicates, missing values, inconsistent formatting,
Clean and Standardize the Data
I remove duplicates, standardize values and formats, correct data types, and organize the dataset according to the client's requirements.