
Cnki Parse Results
- 292 installs
- 811 repo stars
- Updated March 13, 2026
- cookjohn/cnki-skills
Extract structured metadata from CNKI search results—titles, authors, journals, years, abstracts—so research outputs can be ranked, cited, and synthesized programmatically.
About
The cnki-parse-results skill from cookjohn/cnki-skills lets Claude extract structured fields from CNKI search result pages such as titles, authors, journals, dates, and abstracts, turning noisy portal listings into analyzable research data for reviews, briefs, and evidence maps.
- Parses CNKI result metadata
- Outputs structured citation fields
- Enables ranking and synthesis
- Connects browse and index skills
- Supports Chinese academic reviews
Cnki Parse Results by the numbers
- 292 all-time installs (skills.sh)
- Ranked #594 of 2,064 Data Science & ML skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
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| Installs | 292 |
|---|---|
| repo stars | ★ 811 |
| Last updated | March 13, 2026 |
| Repository | cookjohn/cnki-skills ↗ |
What it does
Extract structured metadata from CNKI search results—titles, authors, journals, years, abstracts—so research outputs can be ranked, cited, and synthesized programmatically.
Files
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
};
});
const totalText = document.querySelector('.pagerTitleCell')?.innerText || '';
const totalMatch = totalText.match(/([\d,]+)/);
const pageInfo = document.querySelector('.countPageMark')?.innerText || '';
return {
papers: results,
totalCount: totalMatch ? totalMatch[1] : 'unknown',
pageInfo: pageInfo
};
}3. Present results
Format as a numbered list:
CNKI search results ({totalCount} total, page {pageInfo}):
1. {title} {isOnlineFirst ? "[网络首发]" : ""}
Authors: {authors joined by "; "}
Journal: {journal} | Date: {date} | Type: {database}
Citations: {citations} | Downloads: {downloads}
URL: {url}
2. ...4. Fallback: snapshot-based parsing
If JavaScript returns empty (DOM structure changed), use mcp__chrome-devtools__take_snapshot and parse the accessibility tree manually:
Look for the repeating pattern:
checkbox→StaticText(number) →linkwith URL containingkcms2/article/abstract(title) →links with URL containingkcms2/author/detail(authors) →linkwith URL containingnavi.cnki.net/knavi/detail(journal) →StaticText(date) →StaticText(database type)
Verified DOM Selectors (CNKI uses jQuery, stable semantic class names)
| Data | Selector | Notes |
|---|---|---|
| Table | .result-table-list tbody tr | Each row = one paper |
| Checkbox | input.cbItem | value = export encrypted ID |
| Number | td.seq | Row sequence number |
| Title | td.name a.fz14 | Paper title link |
| Authors | td.author a.KnowledgeNetLink | Author name links |
| Journal | td.source a | Journal/source link |
| Date | td.date | Publication date text |
| DB Type | td.data | Database type (期刊/学位论文) |
| Citations | td.quote | Citation count |
| Downloads | td.download | Download count |
| Online 1st | td.name .marktip | "网络首发" label |
| Total | .pagerTitleCell | "共找到 X 条结果" |
| Page | .countPageMark | "1/300" format |