Wikipedia Citation Finder
Use cases
Discovers Wikipedia pages with "citation needed" tags using the Wikipedia API and BeautifulSoup HTML parsing.
Locates citation tags via class "noprint Inline-Template Template-Fact" and extracts surrounding paragraph context.
Uses regex sentence splitting to identify exact citation opportunities.
Exports to Word document via python-docx.
Featured as Streamlit App of the Month.
Platform
Browser-based (no installation required)
Input
Topic or niche keywords (e.g., "Cheese")
Optional: specific Wikipedia article URLs
Output
Word document (.docx): Summary table sorted by citation frequency, detailed sections with citation contexts as bullet points. Interactive display with expandable URL sections.
Features
- Wikipedia API search with custom User-Agent header
- BeautifulSoup DOM parsing for citation tags
- Regex sentence boundary detection (r'(?<=[.!?]) +')
- Context extraction from parent paragraphs
- python-docx Word document export
- 10-second request timeout for reliability
How to use
- 1 Enter your topic keyword to search Wikipedia
- 2 Tool fetches matching articles via Wikipedia API
- 3 BeautifulSoup parses HTML for citation needed tags
- 4 Review expandable sections with citation counts per URL
- 5 Download Word document with summary table and citation contexts
Want me to run this for you?
I offer this as a managed service. You get the insights without touching the tool.
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