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Fiverr Pro
English
$
USD
I will extract and structure messy product data into clean CSV or json
Jigon Y
About this gig
Got messy product data inconsistent listings, scraped pages, vendor spreadsheets, or PDFs? I turn that mess into clean, structured data you can actually use.
What you get:
Clean CSV or JSON in a consistent schema (name, brand, price, currency, category, availability or your exact fields)
Validation + a confidence score on every row: anything uncertain is flagged for review, so you're never handed silently-wrong data
De-duplication (idempotent) re-runs never create duplicates
A short quality report (coverage + what was flagged)
I'm a data & AI-automation engineer. I pair AI extraction with real validation rules not just an LLM guessing. My open-source pipelines:
- github.com/jigonyoo/ai-product-extractor
- github.com/jigonyoo/hardware-parts-data-pipeline
Mixed currencies (USD / KRW / GBP), multiple languages, HTML noise, "was/now" pricing handled. Send me a sample and I'll show you the before after before you commit.
Let's turn your messy data into a dataset you can trust.
Get to know Jigon Y
Jigon Y
Data and Automation Engineer, Python, Web Tools, Clean Data
- FromSouth Korea
- Member sinceJul 2026
- Avg. response time2 hours
Languages
Korean, English
I'm a data engineer who builds practical tools and turns messy data into clean, usable results. Fast, clear, reliable.
What I do:
- Python automation and scripts (scraping, cleaning, Excel/CSV, reports)
- Custom web tools, calculators and widgets (React/HTML)
- Data cleaning, formatting and light analysis
- Korean/English translation
I use AI to move faster, then personally review, test, and stand behind every deliverable. You get speed plus a human who owns the result.
Tell me your goal and I'll say honestly if I'm a fit.
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FAQ
What formats can you handle?
Messy text, scraped HTML, spreadsheets, PDFs, or a list of URLs. Output as CSV or JSON — your choice.
Can you match my exact schema/fields?
Yes. Send your target fields and I'll normalize everything to that schema.
How do I know the data is accurate?
Every row gets a confidence score, uncertain rows are flagged for human review, and I include a short QC report.
