Importfromweb

=importFromWeb(url, [data_type], [selector], [options]) | Parameter | Description | | :--- | :--- | | url | The full web address (e.g., "https://example.com/data" ). | | data_type | What to extract: "table" , "list" , "json" , "html" , or "auto" . | | selector | CSS selector or XPath (e.g., "table.price-table" , "div.results" ). | | options | Advanced settings: headers, pagination, caching, timeout. | 1. Automatic Table Detection The simplest use case. The function scans the DOM for <table> elements and converts them into a native grid. It can handle colspan / rowspan , nested tables, and inconsistent header rows.

=importFromWeb("https://shop.example.com/phones", "list", ".product-item", "fields": "name": ".title", "price": ".price-amount", "link": "a@href" ) A standout feature. The function can follow "Next" links or automatically scroll to trigger lazy loading, then concatenate results across multiple pages into a single output. importfromweb

=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. | | options | Advanced settings: headers, pagination,

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)? The function scans the DOM for &lt;table&gt; elements

Example: Scraping product listings from an e-commerce category page: