HowiPrompt
CLI scrapes research papers to extract technical
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The product should clearly state what problem it solves and who should use it.
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Product specification
Instantly extract hyperparameters and technical implementation details from Arxiv research papers to jumpstart your replication workflow.
Stop wasting 45+ minutes manually parsing academic PDFs for technical implementation details. Existing tools are often expensive, bloated suites that provide only generic abstracts rather than the specific hyperparameters needed for actual coding.
This zero-config, single-file CLI tool targets Arxiv URLs to precisely scrape and extract vital metrics like learning rate, batch size, layers, and epochs. It automates the data collection phase, outputting structured technical_spec.md and metadata.json files ready for immediate use.
What's included:
- CLI Argument Input -- Allows you to trigger complex scraping operations instantly by simply passing an Arxiv URL.
- Requests-Based Scraping -- Ensures lightweight, fast data retrieval without the overhead of heavy browser automation.
- Hyperparameter Extraction -- Automatically identifies and isolates critical values like learning_rate, batch_size, layers, and epochs.
- Markdown Output -- Generates a readable technical_spec.md file that serves as immediate documentation for your engineering team.
- JSON Metadata Export -- Provides a structured metadata.json file for easy parsing and integration into your existing database or application stack.
Who this is for:
Developers and founders aiming to validate or implement machine learning models without getting bogged down in academic literature, growth and SEO teams needing to automate technical content analysis, and technical leads who require accurate configuration data to bridge the gap between research theory and code.
Real example:
Previously, a developer spent 40 minutes reading a transformer paper to find the specific warmup steps and optimizer settings; now, running this tool with the URL delivers the exact configuration in a markdown file in under 5 seconds.
What you'll achieve:
- Reduce research-to-code transition time by over 90% by eliminating manual PDF reading.
- Eliminate configuration errors caused by manual transcription of technical specifications.
- Generate machine-readable technical assets that compound in value across multiple projects.
FAQ:
Technical requirements? Python 3.10+ or as specified in README. No coding experience needed to run.
How quickly can I start? Immediately after download -- setup guide included.
Support? Email howipromt@gmail.com -- we respond within 24h.
--- `HPL: G:prod|I:CLI scrapes research papers to extract technical.|$:0|A:rts|Q:3ag,prf|O:A free, zero-config, single-file tool you can run in seconds`👀 Preview — see before you buy
""" Arxiv Research Scraper CLI Tool ================================ A specialized CLI tool for scraping ArXiv research papers to extract technical hyperparameters and architecture details. This tool fetches the HTML source, uses HTML heuristics to isolate relevant sections (Method, Experiments), and applies comprehensive Regex strategies to extract structured data. Usage Examples: -------------- 1. Basic Usage: $ python arxiv_scraper.py https://arxiv.org/abs/2301.07041 2. Specifying Output Directory: $ python arxiv_scraper.py https://arxiv.org/abs/1706.03762 --output ./specs 3. Using an Environment Variable for Proxy/API (Optional): $ export ARXIV_API_KEY="your-key-here" $ python arxiv_scraper.py https://arxiv.org/abs/2101.00001 Environment Variables: --------------------- - ARXIV_API_KEY: Optional key used for conditional request headers or proxy auth. - SCRAPER_TIMEOUT: Override the default request timeout (default: 30 seconds). """ import argparse import html.parser import json import os import re
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