📚 Wikipedia Structured Knowledge & Infobox Extractor (MCP)
Pricing
from $1.30 / 1,000 results
📚 Wikipedia Structured Knowledge & Infobox Extractor (MCP)
Extract structured Wikipedia infoboxes, summaries, sections, and entity data for LLM RAG pipelines, Claude Desktop, and Cursor without browser blocks.
Pricing
from $1.30 / 1,000 results
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Developer
David A
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1
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14 days ago
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Extract structured Wikipedia infoboxes, summaries, sections, and entity data for LLM RAG pipelines, Claude Desktop, and Cursor without browser blocks.
Who is this for?
Teams and indie hackers who need this data on autopilot: schedule it, pipe it to Sheets/CRM/Zapier, and get billed only per result row.
Input
| Field | Label | Description |
|---|---|---|
titles | Article Titles | Wikipedia article titles or search terms. |
includeInfobox | Include Infobox | Extract structured infobox facts. |
Output
Dataset columns: title, description, extract, pageUrl, thumbnail, coordinates, extractedAt
Related actors (same workshop)
Combine with these siblings for full pipelines:
- openalex-research-funding-frontier-tracker
- arxiv-cs-ai-papers-daily-feed
- huggingface-daily-papers-ai-radar
- crossref-scholarly-doi-metadata-radar
Pricing
Pay only per result row. Paid plans cut unit cost by up to 55% at volume.