Web scraping is a process through which information is gathered and copied from the Web, for retrieval and analysis.

Web scraping is an efficient and cost-effective method of collection that will reduce response burden on businesses and organizations.

Statistics Canada does not collect personal information through web scraping, and ensures that work is done in a responsible and transparent manner.

Web scraping will significantly reduce response burden, saving businesses and organizations time and resources, as current survey content can be reduced.

These acquisitions are made through various discretionary means, such as donations from Canadians and private corporations, purchases or web harvesting.

The use of web scraping is part of a broader effort to reduce burden on respondents, while continuing to provide high-quality data in a timely and cost-effective manner.

Unstructured Data Discovery - Analyze, catalog and connect unstructured data and content directly to the WES harvesting infrastructure or via Meta Manager.

The use of web scraping is part of a broader effort to reduce burden on individuals, businesses and organizations, while continuing to provide high-quality data in a timely and cost-effective manner.

Web scraping can also be used to complement traditional collection methods, particularly in the areas of data analysis and research, and is expected to produce better quality information.

Web scraping can also be used to complement traditional collection methods, particularly in the areas of data analysis and research, and is expected to produce better quality information.