Skills

Cnki Parse Results

Parse current CNKI search results page into structured paper data (title, authors...

Install

npx skills add cookjohn/cnki-skills --skill cnki-parse-results -g -a claude-code -y
Category
Engineering
Updated
8mo ago
License
See repository
Context cost
Lightabout 1,094 tokens
Runs scripts
No, instructions only

What it does

Parse current CNKI search results page into structured paper data (title, authors, journal, date, citations). Use after a search has been performed and you need to extract the results.

CNKI Parse Search Results

Extract structured paper data from the current CNKI search results page.

Prerequisites

The current Chrome page must be a CNKI search results page (URL contains kns.cnki.net and page shows "条结果").

Steps

1. Verify we are on a results page

Use mcp__chrome-devtools__take_snapshot. Verify the page contains "条结果". If not, inform the user that no search results page is currently open.

Check for captcha ("拖动下方拼图完成验证") - if found, notify user to solve it manually.

2. Extract results via JavaScript

Use mcp__chrome-devtools__evaluate_script with this function:

() => {
  const rows = document.querySelectorAll('.result-table-list tbody tr');
  const checkboxes = document.querySelectorAll('.result-table-list tbody input.cbItem');
  const results = Array.from(rows).map((row, index) => {
    const nameCell = row.querySelector('td.name');
    const titleLink = nameCell?.querySelector('a.fz14');
    const authorCell = row.querySelector('td.author');
    const sourceCell = row.querySelector('td.source');
    const dateCell = row.querySelector('td.date');
    const dataCell = row.querySelector('td.data');
    const quoteCell = row.querySelector('td.quote');
    const downloadCell = row.querySelector('td.download');
    const isOnlineFirst = !!nameCell?.querySelector('.marktip');

    return {
      number: index + 1,
      title: titleLink?.innerText?.trim() || '',
      url: titleLink?.href || '',
      exportId: checkboxes[index]?.value || '',
      authors: Array.from(authorCell?.querySelectorAll('a.KnowledgeNetLink') || []).map(a => a.innerText?.trim()),
      journal: sourceCell?.querySelector('a')?.innerText?.trim() || '',
      date: dateCell?.innerText?.trim() || '',
      database: dataCell?.innerText?.trim() || '',
      citations: quoteCell?.innerText?.trim() || '',
      downloads: downloadCell?.innerText?.trim() || '',
      isOnlineFirst: isOnlineFirst
    };
  });
Read the whole SKILL.md on GitHub

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