Wikipedia Article Extractor
Pricing
from $10.00 / 1,000 results
Wikipedia Article Extractor
What Does Wikipedia Article Extractor Do?
Wikipedia Article Extractor is an Apify actor that scrapes Wikipedia article pages and extracts clean, structured content including the article title, summary, section headings, categories, image counts, and reference counts. Whether you need data for research, content analysis, or knowledge base building, this actor provides a fast and reliable way to pull structured information from the world's largest encyclopedia.
Why Use This Wikipedia Scraper?
Wikipedia hosts over 6.7 million articles in English alone and serves as one of the most popular knowledge sources on the planet. Manual copying and pasting is slow and error-prone. This Wikipedia article extractor automates the process, returning well-organized data in JSON format ready for your pipeline. Perfect for researchers, data scientists, content creators, and developers building knowledge-driven applications.
How to Extract Wikipedia Articles
- Enter one or more article titles using the underscore format (e.g.,
Artificial_intelligence). - Set the maximum number of articles to process.
- Run the actor and download your structured results from the dataset.
The actor uses a Cheerio-based crawler for lightweight, fast extraction without needing a full browser. It handles Wikipedia's HTML structure to pull out meaningful content sections.
Input Parameters
| Parameter | Type | Description | Default |
|---|---|---|---|
articleTitles | array | List of Wikipedia article titles (underscore-separated) | ["Artificial_intelligence"] |
maxResults | integer | Maximum number of articles to extract | 10 |
Output Data
Each article in the output dataset contains:
- title - Article title
- url - Full Wikipedia URL
- summary - First paragraphs of the article
- sections - Array of section headings
- categories - Wikipedia categories assigned to the article
- imageCount - Number of images on the page
- references - Number of references/citations
- lastModified - When the article was last edited
- scrapedAt - Timestamp of the scrape
Cost of Usage
This actor is very affordable to run on the Apify platform:
- Per result: $0.01
- Per 1,000 results: $10
- Actor start cost: $0.005
Running a typical extraction of 10 articles costs less than a penny in platform usage. The Cheerio-based crawler uses minimal memory and compute resources.
Tips and Best Practices
- Use underscores instead of spaces in article titles (e.g.,
United_StatesnotUnited States). - The actor works best with exact article titles. Check Wikipedia first if unsure about the exact title.
- For large-scale extraction, increase the
maxResultsparameter and provide more titles. - Combine with other Apify actors for enriched data pipelines.
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