RRepoGEO

REPOGEO REPORT · LITE

jannisborn/paperscraper

Default branch main · commit e0020b26 · scanned 6/5/2026, 10:01:48 PM

GitHub: 523 stars · 59 forks

AI VISIBILITY SCORE
33 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface jannisborn/paperscraper, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition the README's opening paragraph to emphasize specialization

    Why:

    CURRENT
    paperscraper is a python package for scraping publication metadata or full text files (PDF or XML) from PubMed or preprint servers such as arXiv, medRxiv, bioRxiv, and chemRxiv. It provides a streamlined interface to scrape metadata, retrieve citation counts from Google Scholar, query journal impact factors, and run simple postprocessing and plotting routines for meta-analysis.
    COPY-PASTE FIX
    paperscraper is a specialized Python library designed for academic researchers and data scientists to programmatically scrape publication metadata and full-text files (PDF or XML) from major academic sources like PubMed, arXiv, medRxiv, bioRxiv, and chemRxiv. Unlike generic web scraping tools or individual source APIs, paperscraper offers a unified, streamlined interface for comprehensive data retrieval, including citation counts from Google Scholar, journal impact factors, and integrated routines for meta-analysis and plotting.
  • mediumtopics#2
    Add more specific topics to clarify the library's niche

    Why:

    CURRENT
    arxiv, biorxiv, chemrxiv, medrxiv, paperscraper, pubmed, semantic-scholar
    COPY-PASTE FIX
    arxiv, biorxiv, chemrxiv, medrxiv, paperscraper, pubmed, semantic-scholar, academic-scraping, research-tools, scientific-data, publication-scraper, meta-analysis-tool, python-library
  • mediumreadme#3
    Add a 'Comparison' or 'Why paperscraper?' section to the README

    Why:

    COPY-PASTE FIX
    ## Why paperscraper?

`paperscraper` stands out from generic web scraping libraries (like Beautiful Soup or Scrapy) by offering specialized parsers and workflows tailored specifically for academic sources, handling common challenges like CAPTCHAs and varying site structures. Unlike relying solely on individual source APIs (such as Semantic Scholar API or CrossRef API), `paperscraper` provides a unified interface to *scrape* full texts and metadata across multiple platforms, including those without robust public APIs, enabling comprehensive data collection for meta-analysis and research projects.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface jannisborn/paperscraper
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Semantic Scholar API
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Semantic Scholar API · recommended 1×
  2. CrossRef API · recommended 1×
  3. ourresearch/openalex-api · recommended 1×
  4. arXiv API · recommended 1×
  5. CORE API · recommended 1×
  • CATEGORY QUERY
    How can I programmatically retrieve scientific paper metadata and full texts from online archives?
    you: not recommended
    AI recommended (in order):
    1. Semantic Scholar API
    2. CrossRef API
    3. OpenAlex API (ourresearch/openalex-api)
    4. arXiv API
    5. CORE API
    6. Scrapy (scrapy/scrapy)
    7. Beautiful Soup (crummy/BeautifulSoup)
    8. Requests (psf/requests)

    AI recommended 8 alternatives but never named jannisborn/paperscraper. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What Python library helps with scraping academic publication data for meta-analysis projects?
    you: not recommended
    AI recommended (in order):
    1. Beautiful Soup 4
    2. requests
    3. Selenium
    4. Scrapy
    5. PyPDF2
    6. pdfminer.six
    7. PyMuPDF
    8. pandas

    AI recommended 8 alternatives but never named jannisborn/paperscraper. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of jannisborn/paperscraper?
    pass
    AI did not name jannisborn/paperscraper — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts jannisborn/paperscraper in production, what risks or prerequisites should they evaluate first?
    pass
    AI named jannisborn/paperscraper explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo jannisborn/paperscraper solve, and who is the primary audience?
    pass
    AI named jannisborn/paperscraper explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of jannisborn/paperscraper. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/jannisborn/paperscraper.svg)](https://repogeo.com/en/r/jannisborn/paperscraper)
HTML
<a href="https://repogeo.com/en/r/jannisborn/paperscraper"><img src="https://repogeo.com/badge/jannisborn/paperscraper.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

jannisborn/paperscraper — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite