AI Research Paper Web Scraper

Elevator pitch Autonomous agent that discovers, scrapes, and summarizes academic papers from the web with intelligent filtering.

Industry Developer Tools / Academic Research

Problem

• Manual paper discovery across multiple repositories is time-consuming and inefficient.
• Extracting structured metadata and abstracts requires repetitive manual work.

Solution

• AI agent autonomously crawls academic sources and filters by relevance criteria.
• Automatically extracts metadata, abstracts, and citations into structured formats.

Tools

• web-crawler: Fetch and parse HTML from academic repositories and preprint servers.
• pdf-extractor: Extract text, metadata, and citations from PDF research papers.
• semantic-filter: Analyze paper content and rank by relevance to query topics.
• metadata-parser: Normalize author, date, DOI, and citation information.
• summary-generator: Produce concise abstracts and key-findings summaries.

Widgets

• /search: Query interface with topic filters and result pagination.
• /results: Display scraped papers with metadata, abstracts, and download links.

Conversation starters

• "Find all papers on transformer architectures published in the last 6 months."
• "Scrape papers about federated learning and organize them by citation count."