Wiki Grabber avatar

Wiki Grabber

Under maintenance

Pricing

from $0.35 / 1,000 results

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Wiki Grabber

Wiki Grabber

Under maintenance

Find Wikipedia pages with citation-needed tags, dead links, broken link signals, and cleanup issues using keyword search. Great for SEO, link building, outreach, and research workflows.

Pricing

from $0.35 / 1,000 results

Rating

0.0

(0)

Developer

Shahab Uddin

Shahab Uddin

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

4 hours ago

Last modified

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bash -lc 'cd wiki-grabber-apify && cat > README.md <<'''EOF'''

WikiGrabber - Wikipedia Citation Finder, Dead Link Finder, and Broken Link Replacement Tool

Find Wikipedia pages that need citations, contain dead links, show broken link signals, or require source cleanup by entering a single keyword.

WikiGrabber is an Apify Actor for SEO teams, link builders, outreach specialists, researchers, publishers, content marketers, and automation workflows that want fast Wikipedia opportunity discovery from keyword-based searches.

Why use WikiGrabber?

Wikipedia pages often contain:

  • Citation needed tags
  • Dead link templates
  • Broken link signals
  • Cleanup and verification warnings
  • Weak or missing references

WikiGrabber helps you discover pages where you may be able to:

  • Replace dead links with better live sources
  • Find link building opportunities
  • Discover citation opportunities
  • Support digital PR and outreach
  • Research content gaps
  • Export results to CSV for campaigns and reporting

Best use cases

WikiGrabber is useful for:

  • Wikipedia citation finder workflows
  • Dead link building
  • Broken link replacement research
  • SEO outreach campaigns
  • Digital PR prospecting
  • Content marketing research
  • Authority link opportunity discovery
  • Researching missing references on Wikipedia
  • Finding Wikipedia pages by keyword with citation issues

Features

  • Keyword-based Wikipedia search
  • Exact wikitext template detection
  • Detects citation-needed templates
  • Detects dead-link templates
  • Detects broken-link signals
  • Detects cleanup-related source issues
  • Saves search results into an Apify dataset
  • Built-in pagination for browsing results
  • CSV export for outreach and SEO workflows
  • Simple UI: enter keyword and search

How it works

  1. Enter a keyword such as SEO, AI, Dentist, SaaS, Cybersecurity, or Renewable Energy
  2. WikiGrabber searches relevant Wikipedia pages
  3. The Actor checks page content and wikitext for maintenance templates and source-quality signals
  4. Results are scored and ranked
  5. You can browse paginated results, save data, and export to CSV

Input

Use one keyword or topic.

Examples:

  • SEO
  • Local SEO
  • Link building
  • Cybersecurity
  • Renewable energy
  • Artificial intelligence
  • Health supplements
  • Dental implants
  • SaaS marketing
  • Real estate

Output

Each result can include:

  • Keyword
  • Page title
  • Wikipedia URL
  • Snippet
  • Word count
  • Timestamp
  • Citation-needed template count
  • Dead-link template count
  • Broken-link signal count
  • Cleanup template count
  • Bare URL count
  • Reference count
  • Opportunity score

Who is this for?

This Actor is built for:

  • SEO agencies
  • Freelance SEOs
  • Outreach specialists
  • Link builders
  • PR teams
  • Researchers
  • Journalists
  • Publishers
  • Content marketers
  • Automation users on Apify

SEO benefits

WikiGrabber helps users discover Wikipedia-based opportunities for:

  • Broken link building
  • Dead link replacement
  • Authority link prospecting
  • Topical research
  • Content gap analysis
  • Source reclamation
  • Citation opportunity discovery

This makes it valuable for anyone looking for scalable SEO research and high-quality prospecting data.

Why this Actor stands out on Apify

  • Fast keyword-to-results workflow
  • Easy for beginners
  • Useful for professionals
  • Actionable SEO output
  • Designed for real outreach workflows
  • Export-ready results
  • Clear use case for search, automation, and data collection

Example keywords to try

  • SEO
  • Citation
  • Backlinks
  • Digital marketing
  • Lawyer
  • Plastic surgery
  • Solar energy
  • VPN
  • Crypto
  • Education
  • Finance
  • Travel
  • Startups
  • Healthcare
  • Roofing
  • Immigration

Export and automation

You can use the dataset output for:

  • CSV exports
  • Campaign prospecting
  • Internal research databases
  • Apify integrations
  • SEO reporting pipelines
  • Lead enrichment workflows

Wikipedia citation finder, Wikipedia dead link finder, broken link finder, citation needed finder, dead link building tool, Wikipedia SEO tool, Wikipedia outreach tool, Wikipedia keyword search, broken link replacement tool, citation opportunity finder, Apify SEO Actor, Wikipedia research automation

Tips for better results

  • Use broad keywords first, then narrow down
  • Try commercial and informational keywords
  • Export CSV and cluster pages by topic
  • Prioritize high-score pages for manual review
  • Use results as a starting point for outreach and content validation

Support

If you want improvements such as bulk keyword search, advanced filters, competitor workflows, or API-first exports, extend this Actor and publish updated versions on Apify.

Disclaimer

This tool is for research, discovery, and workflow automation. Always review Wikipedia editing policies and citation standards before making live edits.