You will get messy CSV, Excel, or JSON data cleaned and converted
Project details
You will receive one CSV, Excel, or JSON file cleaned, standardized, deduplicated, validated, and converted to your preferred format within one day. I will confirm the rules and acceptance criteria, share a small sample early, use a repeatable Python/pandas workflow, validate row counts and key fields, and deliver the cleaned file plus a concise change report and setup notes. This package is ideal for clearly scoped files with defined columns and rules. Very large files, unclear business rules, OCR, or manual research should be discussed before purchase.
What's included $2,515
These options are included with the project scope.
$2,515
- Delivery Time 1 day
- Number of Pages Mined/Scraped 5
- Number of Sources Mined/Scraped 1
- Number of Revisions 1
Frequently asked questions
About Xiaohua
Python Web Scraping | Clean CSV & JSON Delivery in 24 Hours
Shijiazhuang, China - 5:28 am local time
Send me the source, required fields, and output format. I’ll return a tested script, sample output, setup instructions, and a clear handoff.
I can help with:
• Public-web data extraction to CSV, Excel, or JSON
• CSV/Excel/JSON cleaning, deduplication, validation, and conversion
• REST API integration, pagination, retries, and JSON transformation
• Selenium automation for forms, downloads, screenshots, and QA
• Repeatable Python scripts with logs and configuration files
My process is simple:
1. Confirm the source, fields, output format, and acceptance criteria.
2. Deliver a small sample early.
3. Complete the automation, validate the output, and document the setup.
Best fit: clearly scoped jobs that can be completed in one day. Send the target URL or API documentation plus a sample of the desired output, and I’ll reply with a concrete fixed-price plan.
Steps for completing your project
After purchasing the project, send requirements so Xiaohua can start the project.
Delivery time starts when Xiaohua receives requirements from you.
Xiaohua works on your project following the steps below.
Revisions may occur after the delivery date.
Confirm rules and sample
I inspect the file, confirm cleaning and conversion rules, and share a small sample for alignment.
Clean, validate, and deliver
I clean and convert the data, validate row counts and key fields, and deliver the final file with a concise change report.