Start with a single table from a static Wikipedia page. Then add a CSS selector. Then try pagination. Before long, you'll see the entire internet as one vast, queryable database. Would you like a practical code example for a specific environment (e.g., Google Apps Script, Python pandas, or Excel Power Query)?
Example: Getting all 500 customer reviews across 10 pages:
Example: Accessing an internal CRM dashboard: importfromweb
Example: Pulling live Bitcoin price from a crypto dashboard:
=importFromWeb("https://example.com/crypto", "json", "script[type='application/json']") For non-tabular data (e.g., product names, prices, images), you can target repeating HTML elements. The function returns a 2D array where each matched element becomes a row. Start with a single table from a static Wikipedia page
Example: Scraping product listings from an e-commerce category page:
=importFromWeb("https://reviews.example.com/product", "table", ".review-table", "paginate": ".next-button", "max_pages": 10) Many data sources sit behind login walls. importFromWeb supports passing cookies, API keys, or OAuth tokens either directly or via a credential manager. Before long, you'll see the entire internet as
Example: Importing the latest currency exchange rates from a financial news site: