: Easier to build than XPaths, these target elements based on their style classes or IDs.
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. importfromweb
Every SEO specialist, market researcher, and data analyst knows the struggle. You find a goldmine of data on a website—competitor pricing, product reviews, stock market trends—but it’s locked behind HTML. : Easier to build than XPaths, these target
| 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. | Then try pagination
ImportFromWeb democratizes web scraping. It bridges the gap between raw data on the web and actionable insights in your spreadsheet. Whether you are a solo entrepreneur tracking a niche market or a large agency running SEO audits, this tool saves hours of manual labor and technical frustration.
But what if you could scrape the web without writing a single line of code? What if you could do it right inside the tool you already know and love:
=importFromWeb("https://example.com/crypto", "json", "script[type='application/json']")