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Gs Export

  • 175 installs
  • 470 repo stars
  • Updated March 13, 2026
  • cookjohn/gs-skills

Export Google Scholar citation metadata into bibliographic formats for reference managers, manuscripts, and structured literature inventories.

About

Google Scholar export skill that harvests citation metadata from search and profile results and formats bibliographic entries for reference managers and manuscripts, letting Claude agents build structured literature inventories without manual Scholar copy-paste during research.

  • Exports Google Scholar citation metadata
  • Produces bibliographic records for reference tools
  • Consolidates search results into reusable citation lists
  • Reduces manual copy-paste from Scholar result pages

Gs Export by the numbers

  • 175 all-time installs (skills.sh)
  • Ranked #3,092 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Aug 3, 2026 (Skillselion catalog sync)
npx skills add https://github.com/cookjohn/gs-skills --skill gs-export

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Listed on Skillselion
Installs175
repo stars470
Last updatedMarch 13, 2026
Repositorycookjohn/gs-skills

What it does

Export Google Scholar citation metadata into bibliographic formats for reference managers, manuscripts, and structured literature inventories.

Files

SKILL.mdMarkdownGitHub ↗

Google Scholar Export to Zotero

Export Google Scholar paper citation data via BibTeX extraction and push to Zotero desktop.

Arguments

$ARGUMENTS contains one or more data-cids (space-separated), e.g.:

  • TFS2GgoGiNUJ — single paper
  • TFS2GgoGiNUJ abc123XYZ def456UVW — batch export

Steps

Step 1: Get BibTeX for each paper

For each data-cid, perform 3 tool calls to bypass CORS:

1a. Fetch cite dialog to get BibTeX link (evaluate_script)
async () => {
  const cid = "DATA_CID_HERE";
  const resp = await fetch(
    `https://scholar.google.com/scholar?q=info:${cid}:scholar.google.com/&output=cite`,
    { credentials: 'include' }
  );
  const html = await resp.text();
  const doc = new DOMParser().parseFromString(html, 'text/html');

  // Extract export links
  const links = Array.from(doc.querySelectorAll('#gs_citi a')).map(a => ({
    format: a.textContent.trim(),
    url: a.href
  }));

  // Extract citation format texts
  const citations = Array.from(doc.querySelectorAll('#gs_citt tr')).map(tr => {
    const cells = tr.querySelectorAll('td');
    return {
      style: cells[0]?.textContent?.trim() || '',
      text: cells[1]?.textContent?.trim() || ''
    };
  });

  const bibtexLink = links.find(l => l.format === 'BibTeX');
  return { cid, bibtexLink: bibtexLink?.url || '', links, citations };
}
1b. Navigate to BibTeX URL (navigate_page)

Use mcp__chrome-devtools__navigate_page:

  • url: the bibtexLink URL from step 1a (on scholar.googleusercontent.com)

This bypasses CORS restrictions that block fetch() to googleusercontent.com.

1c. Read BibTeX content (evaluate_script)
async () => {
  return { bibtex: document.body.innerText || document.body.textContent || '' };
}

Step 2: Parse BibTeX and push to Zotero

Save the BibTeX data as JSON, then call the push script:

python "E:/gscholar-skills/.claude/skills/gs-export/scripts/push_to_zotero.py" /tmp/gs_papers.json

Before calling the script, construct a JSON file at /tmp/gs_papers.json containing paper data parsed from BibTeX. Parse the BibTeX yourself and create the JSON array:

[
  {
    "pmid": "",
    "title": "The title from BibTeX",
    "authors": [
      {"lastName": "Smith", "firstName": "John"}
    ],
    "journal": "Journal Name",
    "journalAbbr": "",
    "pubdate": "2022",
    "volume": "14",
    "issue": "4",
    "pages": "1054",
    "doi": "",
    "pdfUrl": "https://example.com/paper.pdf",
    "abstract": "",
    "keywords": [],
    "language": "en",
    "pubtype": ["Journal Article"]
  }
]

IMPORTANT: Set pdfUrl from the search result's fullTextUrl field (the PDF link extracted by gs-search). The Python script will download the PDF and upload it to Zotero via /connector/saveAttachment (Zotero 7.x ignores attachments in saveItems). PDF download may fail for some publishers (403, JS-redirect); these are reported as "PDF skip".

BibTeX fields mapping:

  • @article{key,itemType: journalArticle
  • @inproceedings{key,itemType: conferencePaper
  • @book{key,itemType: book
  • title={...}title
  • author={Last1, First1 and Last2, First2}authors array
  • journal={...}journal
  • year={...}pubdate
  • volume={...}volume
  • number={...}issue
  • pages={...}pages
  • publisher={...} → (included in extra or publisher field)

Step 3: Report

Single paper:

Exported to Zotero from Google Scholar:
  Title: {title}
  Authors: {authors}
  Journal: {journal} ({year})
  Data-CID: {dataCid}

Batch:

Exported {count} papers to Zotero from Google Scholar:
  1. {title1} ({journal1}, {year1})
  2. {title2} ({journal2}, {year2})
  ...

Batch Export Optimization

For multiple papers, process sequentially to avoid CAPTCHA: 1. Get all BibTeX links in one evaluate_script call (fetch all cite dialogs) 2. Navigate to each BibTeX URL one at a time 3. Collect all BibTeX entries 4. Push all to Zotero in a single batch

Notes

  • Single paper export uses 3-4 tool calls: evaluate_script (cite dialog) + navigate_page (BibTeX URL) + evaluate_script (read BibTeX) + bash python (Zotero push)
  • Batch export: 2N+1 tool calls (N papers: N navigate + N evaluate + 1 bash)
  • BibTeX links are on scholar.googleusercontent.com — CORS blocks fetch(), so we use navigate_page to bypass
  • Reuses push_to_zotero.py for Zotero Connector API communication
  • Google Scholar BibTeX does NOT include abstract or DOI — these fields will be empty in Zotero
  • After export, navigate back to Google Scholar page: navigate_page with type back

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