Hfpclawer Paper Search

Discover, download, and organize academic papers from arXiv, HuggingFace Papers, and OpenReview. Multi-source search → dedup → PDF download → Markdown conversion → optional wiki sync. Designed for researchers who want to monitor new papers daily.

hfpclawer Paper Search & Download

A multi-source academic paper pipe: search across arXiv / HuggingFace Papers / OpenReview / PapersWithCode, deduplicate by title, download PDFs, convert to Markdown, and optionally sync to a wiki.

Who this is for: Researchers who want a daily "new papers on my topic" feed without manually checking multiple websites.

Overview

Typical workflow in one command:

text

hfpclawer search           # Discover new papers across sources
   └── ranked by relevance to your keywords
hfpclawer download         # Download PDFs for matched papers  
   └── 8 concurrent streams
hfpclawer convert --to-wiki # PDF → readable Markdown + wiki sync

Or run the full pipeline at once:

bash

hfpclawer full --max-pages 3 --to-wiki

Prerequisites

bash

pip install hfpclawer>=0.5.0
hfpclawer init                      # Creates config.yaml in current directory

Edit config.yaml with your search interests (see Configuration section below).

Quick Start

1. First-time Setup

bash

# Create default config
hfpclawer init

# Edit the config to match your research interests
vim config.yaml
# → Change: search.queries, keywords.include_high, keywords.exclude

2. One-Shot Full Pipeline (daily use)

bash

# Discover → Download → Convert → Wiki sync in one command
hfpclawer full

# Limit pages for a quick check
hfpclawer full --max-pages 3 --to-wiki

3. Step-by-Step (for debugging)

bash

# Step 1: Search across all sources
hfpclawer search --max-pages 5

# Step 2: Download PDFs for matched papers
hfpclawer download

# Step 3: Convert PDFs to Markdown
hfpclawer convert

# Step 4: Sync to wiki directory
hfpclawer convert --to-wiki

4. Monitor New Papers Regularly

bash

# Check what papers have been downloaded
hfpclawer list

# Show paper store statistics
hfpclawer store stats

# Start the real-time download monitor
hfpclawer monitor start

Configuration

The config file config.yaml controls what papers are searched and downloaded:

yaml

search:
  max_per_dim: 50           # Papers per search query per source
  queries:
    - query: "neural operator"
      category: neural-operator
    - query: "physics-informed"
      category: physics-informed
    - query: "PDE solver deep learning"
      category: pde-solver

keywords:
  include_high:              # Papers must match these (OR)
    - "neural operator"
    - "pde"
    - "deep learning"
  include_low:               # Optional bonus keywords
    - "fourier"
    - "self-attention"
  exclude:                   # Exclude these topics
    - "quantum"
    - "llm"

classification:
  threshold_pass: 30         # Relevance score threshold (0-100)
  title_similarity_min: 0.40 # Dedup threshold

paths:
  data_dir: "data"           # SQLite DB location
  pdf_dir: "pdfs"            # Downloaded PDFs
  md_dir: "mds"              # Converted Markdown files

Available Commands

Command	Purpose	Common Flags
hfpclawer search	Discover new papers	--max-pages, --dry-run
hfpclawer download	Download PDFs	(runs from search results)
hfpclawer convert	Convert PDF → MD	--to-wiki syncs to raw/papers/
hfpclawer full	All-in-one pipeline	--max-pages, --to-wiki
hfpclawer list	List downloaded papers
hfpclawer store stats	Paper store statistics
hfpclawer store export	Export store as JSON/CSV	--format json
hfpclawer store verify	Cross-verify paper metadata	--arxiv-id
hfpclawer config	Show current config
hfpclawer mcp	Start MCP server	(for LLM integration)
hfpclawer monitor	Download daemon control	start, stop, status
hfpclawer dedup	Show dedup statistics

Daily Routine Examples

Morning — Check What's New

bash

# Quick scan (3 pages per query, ~50 papers)
hfpclawer search --max-pages 3

# View results
hfpclawer store stats

Afternoon — Download & Read

bash

# Download all new papers
hfpclawer download

# Convert to readable markdown
hfpclawer convert

# Read the best one
cat mds/2010.08895.md | head -80

Weekly — Full Pipeline

bash

# Full sweep with wiki sync
hfpclawer full --max-pages 10 --to-wiki

# Validate references in newly added papers
hfpclawer audit verify "Key cited paper" --source openalex

Data Storage

hfpclawer uses three tiers:

Storage	Location	Content	Persistence
SQLite	data/papers.db	Metadata, dedup, cross-ref	Persistent
PDFs	pdfs/	Raw paper PDFs	Download once, keep
Markdown	mds/	Converted text	Regeneratable from PDFs

The paper store tracks:

• arXiv ID, title, authors, abstract
• Source of discovery (HF / arXiv / OpenReview)
• Download status, conversion status
• Wikified path (if synced)
• Cross-verification with Crossref (DOI validation)

Common Pitfalls

1. pip install needs to be in the right venv. If hfpclawer command is not found, check the active Python environment.
2. HuggingFace CLI rate limits. Too many queries per minute will trigger 429s. Reduce max_per_dim to 10 if this happens.
3. Scrapy spiders need scrapy extra installed. If you see ModuleNotFoundError: scrapy, run pip install hfpclawer[scrapy].
4. PDF conversion needs pymupdf4llm. Run pip install hfpclawer[pdf] if hfpclawer convert complains about missing pymupdf4llm.
5. Wiki sync defaults to raw/papers/. If you do not have a wiki directory, skip --to-wiki and read from mds/ directly.
6. First run creates a config.yaml. Edit it before running hfpclawer full, otherwise the default queries may not match your research area.

Verification Checklist

• hfpclawer init creates a valid config.yaml
• hfpclawer search --dry-run validates config without network calls
• hfpclawer search --max-pages 3 returns real papers
• hfpclawer download downloads PDFs correctly
• hfpclawer convert produces readable Markdown
• hfpclawer store stats shows non-zero counts
• hfpclawer store verify --arxiv-id 2010.08895 cross-checks via Crossref