Web scraping is a technology tool to collect information from websites automatically. Instead of copying and pasting data by hand, a computer program quickly gathers the information and organizes it. The practice of web scraping is growing because the internet has more data than ever and collecting information in this way is used for many things:

• Tracking Prices – websites can check prices on other websites to offer better deals.
• Research – scientists and businesses collect data to study trends.
• News & Alerts – companies and journalists monitor news websites for important updates and useful information.
• Governments – monitor data for public services.
• Job Hunting – some sites collect job postings from many sources.

Some legal restrictions can impact web scraping:

• Some websites do not allow web scraping in their rules.
• Copyright Laws – copying and using data without permission can be illegal.
• Privacy Laws – scraping personal information (like emails or phone numbers) without consent is often against the law.

While web scraping is a growing practice, there is a growing role too for information aggregators that gather content from multiple sources to make it easier for users to find and understand. Web scraping plays a key role in this process by:

• Automating Data Collection – instead of manually searching for new reports, projects, or glossary terms, web scraping can pull updates from various sources.
• Keeping Information Current – aggregator databases need the latest data, and scraping can help refresh content quickly.
• Improving Search & Navigation – scraping can help structure data so users can search, filter, and explore information more easily.

A difference between web scraping and information aggregators is that aggregator databases often combine automated methods (e.g., API integrations) with human review to maintain data accuracy, trustworthiness, and ethical standards.

See:  Information Aggregator Database | Learn & Work Ecosystem Library