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Wikipedia Scraper API

Scrape Wikipedia and collect data such as: article text, links, categories, and more. Maintain full control, flexibility, and scale without worrying about infrastructure, proxy servers, or getting blocked.

  • Get credits to try for free!
  • Dedicated account manager
  • Retrieve results in multiple formats
  • No-code interface for rapid development
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TRUSTED BY 20,000+ CUSTOMERS WORLDWIDE
TRUSTED BY 20,000+ CUSTOMERS WORLDWIDE

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DEPLOY FASTER

One API call. Tons of data.

Data Discovery

Detecting data structures and patterns to ensure efficient, targeted extraction of data.

Bulk Request Handling

Reduce server load and optimize data collection for high-volume scraping tasks.

Data Parsing

Efficiently converts raw HTML into structured data, easing data integration and analysis.

Data validation

Ensure data reliability and save time on manual checks and preprocessing.

UNDER THE HOOD

Never worry about proxies and CAPTCHAs again

  • Automatic IP Rotation
  • CAPTCHA Solver
  • User Agent Rotation
  • Custom Headers
  • JavaScript Rendering 
  • Residential Proxies

PRICING

Wikipedia Scraper API subscription plans

Pay as you go
$1/ 1K RECORDS
No commitment
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Pay-as-you-go without a monthly commitment
Growth
$0.85/ 1K RECORDS
$499 Billed monthly
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Tailored for teams looking to scale their operations
Business
$0.75/ 1K RECORDS
$999 Billed monthly
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Designed for large teams with extensive operational needs
PREMIUM
$0.7/ 1K RECORDS
$1999 Billed monthly
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Advanced support and features for critical operations
Enterprise
For industry leaders: Elite data services for top-tier business requirements
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  • Account Manager
  • Custom packages
  • Premium SLA
  • Priority support
  • Tailored onboarding
  • SSO
  • Customizations
  • Audit Logs
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BEST-IN-CLASS DX

Easy to start. Easier to scale.

Unmatched Stability

Ensure consistent performance and minimize failures by relying on the world’s leading proxy infrastructure.

Simplified Web Scraping

Put your scraping on auto-pilot using production-ready APIs, saving resources and reducing maintenance.

Unlimited Scalability

Effortlessly scale your scraping projects to meet data demands, maintaining optimal performance.

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API for Seamless Wikipedia Data Access

Comprehensive, Scalable, and Compliant Wikipedia Data Extraction

FLEXIBLE

Tailored to your workflow

Get structured data in JSON, NDJSON, or CSV files through Webhook or API delivery.

SCALABLE

Built-in infrastructure and unblocking

Get maximum control and flexibility without maintaining proxy and unblocking infrastructure. Easily scrape data from any geo-location while avoiding CAPTCHAs and blocks.

STABLE

Battle-proven infrastructure

Bright Data’s platform powers over 20,000+ companies worldwide, offering peace of mind with 99.99% uptime, access to 72M+ real user IPs covering 195 countries.

COMPLIANT

Industry leading compliance

Our privacy practices comply with data protection laws, including the EU data protection regulatory framework, GDPR, and CCPA – respecting requests to exercise privacy rights and more.

Wikipedia Scraper API use cases

Collect explanations about different topics

Compare information from Wikipedia with other sources

Conduct research based on huge datasets

Scrape Wikipedia Commons images

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Why 20,000+ Customers Choose Bright Data

100% Compliant

Scraped data is ethically obtained and compliant with all privacy laws.

24/7 Global Support

A dedicated team of data professionals is here to help.

Complete Data Coverage

Access 72 million+ global IPs to scrape data from any website.

Unmatched Data Quality

Advanced technologies and validation methods for quality data.

Powerful Infrastructure

Scrape high-volume data without getting blocked.

Custom Solutions

Get tailored solutions to meet unique needs and goals.
Trustpilot

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Wikipedia Scraper API FAQs

The Wikipedia Scraper API is a powerful tool designed to automate data extraction from the Wikipedia website, allowing users to efficiently gather and process large volumes of data for various use cases.

The Wikipedia Scraper API works by sending automated requests to targeted website, extracting the necessary data points, and delivering them in a structured format. This process ensures accurate and quick data collection.

Yes, the Wikipedia Scraper API is designed to comply with data protection regulations, including GDPR and CCPA. It ensures that all data collection activities are performed ethically and legally.

Absolutely! The Wikipedia Scraper API is ideal for competitive analysis, allowing you to gather insights into your competitors' activities, trends, and strategies.

The Wikipedia Scraper API offers flawless integration with various platforms and tools. You can use it with your existing data pipelines, CRM systems, or analytics tools to improve your data processing capabilities.

There are no specific usage limits for the Wikipedia Scraper API, offering you the flexibility to scale as needed.

Yes, we offer dedicated support for the Wikipedia Scraper API. Our support team is available 24/7 to assist you with any questions or issues you may encounter while using the API.

Amazon S3, Google Cloud Storage, Google PubSub, Microsoft Azure Storage, Snowflake, and SFTP.

JSON, NDJSON, JSON lines, CSV, and .gz files (compressed).