Use the Web Scraper IDE tool to retrieve publicly available data from Wikipedia.
Wikipedia Scraper
Use Bright Data’s Web Scraper IDE,
or purchase a pre-collected Wikipedia dataset
- Collect explanations about different topics
- Compare information from Wikipedia with other sources
- Conduct research based on huge datasets
- Scrape Wikipedia Commons images
Wikipedia Scraper Overview
- platform integrates with our industry-leading proxy networks
- Utilizes proprietary site unlocking technology
- Adapts to site changes: when Wikipedia changes its site structure Web Scraper IDE will adapt
- Infinitely scalable – collect as much data as you need quickly and completely
- Fully compliant with industry best practices and privacy regulations (GDPR, CCPA)
Leverage a Wikipedia Scraper to:
- Use Wikipedia’s massive troves of data as your own business database
- Provide answers on your website to questions related to your vertical or industry directly on your website
- Power your machine training algorithms with data related to your business
- Scrape lists data for businesses in a specific vertical or people in a specific industry
How to develop a web scraper
STEP 1
Choose from ready-made code templates or start from scratch
STEP 2
Develop and customize your scraper using Bright Data’s ready-made scraping functions
STEP 3
Choose when to get the data: In real-time or batches
STEP 4
Choose the file format and where to send the data
