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English
$
USD
I will scrap, clean, and structure unstructured data using advanced llms
About this Gig
Are you tired of slow, error-prone manual data entry? Do you have thousands of lines of unorganized text, messy web directories, or chaotic emails that need to be in a clean CRM spreadsheet?
I run high-speed, automated data extraction pipelines that convert completely unstructured data into pristine, verified, and perfectly structured Excel or CSV spreadsheets. By combining custom Python web scrapers with powerful 70B parameter Large Language Models (LLMs), I clean and format data at a scale that manual workers simply cannot match.
What I Can Do For You:
B2B Lead Enrichment: Turn raw business text fragments or directory copy into structured profiles (Name, Industry, Services, Contact Details).
E-commerce Catalog Harvesting: Automatically scrape competitor websites to extract titles, costs, and availability matrices.
Messy Data Cleaning: Take corrupted data text blocks, strip out conversational noise, and force exact JSON/tabular formatting.
Why Choose My System?
Zero Typos: 100% computational parsing precision.
Fast Turnaround: What takes days manually takes minutes through my cloud-accelerated engine loops.
Dynamic Handling: Standard scrapers break on inconsistent text. M
Technology:
Python
•
Google Sheets
•
Excel
•
Nodejs
•
Beautiful soup
Technique:
Automated
FAQ
How is this different from standard web scraping?
Traditional scrapers instantly break if a website changes its layout or if text data is written informally. My pipeline passes raw text through a 70B parameter Large Language Model, meaning it actually reads, interprets, and cleans complex, unorganized sentences natively just like a human would—but
