01
Articles and infoboxes
Review public content and the profile or page it belongs to.
All Data API targets
Data API•Managed extraction
Wikipedia Scraper API for Knowledge Data
Get structured Wikipedia data on articles, infoboxes, categories, references and revision history.
Structured records · Parser maintenance included
Source
Articles and infoboxes
Managed extractionAccess, extraction and parser maintenance
Example fields
- Page ID, title, and canonical URL
- Infobox attributes and values
- Citation titles, URLs, and publishers
Wikipedia: example source and field groups.
Available data
Wikipedia pages you can collect
Choose the pages that match your project, then check field coverage in a sample.
02
Category, list, and disambiguation pages
Compare visible results and their position in the selected view.
03
Revision histories and reference sections
Track the dates, values and changes displayed at the source.
Business use cases
What you can build with Wikipedia data
Structured output
Wikipedia data fields
Field availability varies by page. Check a representative sample before choosing the fields for your project.
01
Page ID, title, and canonical URL
Link the observation to the right item and source.
02
Lead summary and section hierarchy
Preserve these details with the corresponding source record.
03
Infobox attributes and values
Compare like-for-like items using their distinguishing attributes.
04
Categories and page relationships
Group comparable records by the categories shown at the source.
05
Linked entities and redirects
Preserve these details with the corresponding source record.
06
Citation titles, URLs, and publishers
Trace the content back to its referenced page.
07
Revision ID, editor, and timestamp
Link the observation to the right item and source.
08
Language and page-status context
Record the state shown at collection time.
How it works
From Wikipedia pages to useful records
- 01
Share example pages
Send a few URLs and the markets or locations you need.
- 02
Review a sample
Check useful fields, missing values and source links before choosing a plan.
- 03
Agree delivery
Set record volume, refresh frequency and how the data reaches your application.
- 04
Put the data to work
WebScrapingAPI runs collection and maintains extraction as the source changes.
Managed maintenance
We maintain collection. You use the data.
WebScrapingAPI
Collection and maintenance
- Source access
- Data extraction
- Parser updates
- Quality monitoring
Your team
Your data project
- Choose pages and markets
- Select the fields you need
- Set delivery and refresh requirements
- Build your analysis and applications
Get started
Try Wikipedia data in your workflow
Sample data
Check the sample against your own requirements
Check field coverage, missing values and source links in your own tools.
Talk to a data expertFAQ
Wikipedia API questions
What Wikipedia data can I collect?
Get structured Wikipedia data on articles, infoboxes, categories, references and revision history.
Which fields are available?
Field availability varies by page. Check a representative sample before choosing the fields for your project.
How do I get started with Wikipedia data?
Send example URLs, the fields you need and your expected volume. Review a sample with our team, then agree coverage, delivery and pricing.
Who maintains Wikipedia extraction?
WebScrapingAPI operates source access, extraction, parser maintenance and quality monitoring. Your team decides how to use the records in its applications and analysis.
How is Wikipedia data priced?
Pricing depends on the source pages, fields, volume, refresh frequency and delivery method. Request a quote for the collection you need.
Your Wikipedia data
Request Wikipedia sample data
Share example pages, required fields and refresh frequency. We will help you evaluate coverage and delivery.