Page Intent Classifier
Use cases
Uses GPT-4o-mini/4o/4.1 with JSON response formatting (temperature 0.3, max 150 tokens) to classify pages.
html2text converts HTML to clean text.
Categories: signup, purchase, browse, learn, contact, compare, download, other.
CSS selector for content targeting, character limit (500-10,000).
Platform
Browser-based (no installation required)
Input
URLs via paste or CSV upload
OpenAI API key
Output
CSV: intent description (≤6 words), expected action (≤3 words), category (signup/purchase/browse/learn/contact/compare/download/other).
Features
- GPT-4o-mini, GPT-4o, or GPT-4.1 models
- JSON response formatting (temp 0.3, max 150 tokens)
- html2text content conversion
- 8 category classifications
- CSS selector for content targeting
- Character limit slider (500-10,000)
How to use
- 1 Enter OpenAI API key
- 2 Select model (GPT-4o-mini recommended)
- 3 Input URLs or upload CSV
- 4 Optionally set CSS selector for content area
- 5 Configure character limit and request delay
- 6 Download CSV with classifications
Want me to run this for you?
I offer this as a managed service. You get the insights without touching the tool.
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