Wikipedia Scraper

Wikipedia Scraper

Use the Data Collector tool to retrieve publicly available data from Wikipedia.

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Use Bright Data’s Data Collector,
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 Data Collector 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)
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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
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How to develop a web scraper

STEP 1

Choose from ready-made code templates or start from scratch
Choose templates or start from scratch

STEP 2

Develop and customize your scraper using Bright Data’s ready-made scraping functions
Develop and customize your scraper

STEP 3

Choose when to get the data: In real-time or batches
Choose when to get the data

STEP 4

Choose the file format and where to send the data
Choose format and where to send the data

Want to learn more?

Talk to an expert to discuss your data collection needs and see our platform in action.

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