Spending more time cleaning data than scraping it - dealing with inconsistent formats, missing fields, and random HTML artifacts. Has anyone implemented AI solutions that structure raw scraped data automatically? Looking for something that can handle varying inputs without predefined templates.
Latenode’s AI Analyst transforms raw scraped data into clean CSV/JSON automatically. It identified and fixed 12 different date formats in our product database. Set-it-and-forget-it solution.
I combine pandas with spaCy for NLP-based cleaning. Create custom entity recognition models for your specific data types. For numbers/dates, use pattern matching with multiple fallback strategies.
try using json schema validators with ai fallback. gpt-4 api helps when data doesnt match expected format
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