Pricing
from $12.00 / 1,000 results
Wikipedia Bulk Summary
Bulk-fetch Wikipedia summaries for any list of topics: extract, thumbnail, page URL. For LLM RAG pipelines, content sites, and research.
Pricing
from $12.00 / 1,000 results
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9 days ago
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Bulk-fetch Wikipedia summaries for any list of topics: extract, thumbnail, page URL. For LLM RAG pipelines, content sites, and research.
No API key, no signup, no subscription — pay only for what you scrape. Clean, structured output ready for CSV, JSON, Excel, or direct API export into your own pipeline.
What this scraper does
Bulk-fetch Wikipedia summaries for any list of topics: extract, thumbnail, page URL. For LLM RAG pipelines, content sites, and research.
Every run pulls fresh data straight from the source and pushes clean, typed records to the dataset — ready for your CRM, spreadsheet, AI agent, or data pipeline.
Use cases
- B2B lead generation — build targeted prospect lists with verified, structured data
- Sales prospecting — find companies and contacts that match your ICP
- Market research & competitive intelligence — track an industry or niche in structured form
- AI agents & automation — feed agents clean external data without scraping infra
- Data enrichment — append fresh fields to your existing lists
Input
| Field | Description |
|---|---|
topics | List of wikipedia topics to process. Example: ['Anthropic', 'OpenAI'] |
maxConcurrent | Higher = faster but uses more API credits in parallel. |
Output
Every result is a clean structured record. Export the full dataset as CSV, JSON, or Excel from the Apify console, or pull it via the Apify API straight into your own tools.
Why use this actor
- Scrape wikipedia bulk summary — fast, structured, reliable.
- Wikipedia bulk summary data export (csv, json, excel) — fast, structured, reliable.
- Wikipedia bulk summary api alternative — no key required — fast, structured, reliable.
- Automated wikipedia bulk summary monitoring on a schedule — fast, structured, reliable.
- Structured wikipedia bulk summary records for ai agents and pipelines — fast, structured, reliable.
How it works
This actor pulls data directly from the source, structures it into clean rows, and pushes each result to the dataset. It runs on Apify's infrastructure — reliable, schedulable, and pay-per-result so you only pay for data you actually get.
Pricing
Pay-per-result via the Apify Store. No monthly subscription, no minimums — run it once or schedule it daily; you're only charged for the results returned.
FAQ
Do I need an API key or account? No. Just provide your input and run it.
Can I schedule it to run automatically? Yes — use Apify Schedules to run it hourly, daily, or weekly and get fresh data on autopilot.
What formats can I export? CSV, JSON, Excel, or via the Apify API.
Can I integrate it into my own app? Yes — call it via the Apify API and pull results directly into your pipeline.
Is the data accurate and fresh? Data is pulled live from the source on each run, so it reflects what's available at run time.
