The Scenario
The spreadsheet has been sitting on your desk since Monday. Column A holds 150 competitor product URLs your team assembled over two weeks of research. Columns B through E are headers — Title, Description, Content Summary, Price — with nothing below row 1.
Your manager wants the table populated before the strategy call Thursday morning.
The bad version:
- Open URL 1, scan the page, locate the meta description, copy it, switch tabs, paste into B2, find the price if it exists, paste into E2, go back, next URL
- By URL 40 you are no longer sure you are copying from the right field on every page — layouts differ, some pages have prices in three different places, one site has a popup blocking the content
- By URL 90 you have spent four hours and the data quality is inconsistent because you were tired by row 60 and started making shortcuts
Nobody hired you to hand-transcribe product data from 150 browser tabs. That is not the analysis. That is the prerequisite to the analysis, and it is eating the entire week.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads the URL list in column A, understands that columns B through E are the output targets, and through its built-in ZenRows integration it can run the scraping job and populate all four columns in a single pass.
For each URL in column A, use ZenRows auto-parse to scrape the page and write the page title, meta description, main content summary, and any detected price into columns B through E
What You Get
- Column B: page title as it appears in the HTML title tag or primary heading
- Column C: meta description text, or the first paragraph if no meta description is present
- Column D: a content summary generated from the scraped body text
- Column E: detected price string if one is found on the page, left blank if none
- Any URL that ZenRows cannot reach gets a note in the adjacent cell rather than a silent gap
What If the Data Is Not Quite Ready
Some URLs redirect to a login wall or error page
For each URL in column A, use ZenRows auto-parse to scrape the page — if the page returns a login prompt or error status, write "blocked" in column B and leave C through E empty
The price format varies — some show USD, some show EUR, some have no currency symbol
Scrape each URL in column A with ZenRows and write the detected price into column E — standardize to USD if a conversion can be inferred from page context, flag ambiguous formats with a question mark
You want to skip URLs that already have data in column B
For each row in column A where column B is empty, use ZenRows auto-parse to scrape the page and populate columns B through E — leave rows with existing data untouched
Run a full cleanup pass before populating
For each URL in column A, first check whether it redirects — note the final destination URL in column F — then use ZenRows auto-parse on the final URL to extract title, description, summary, and price into columns B through E, and flag any rows where the final URL differs from the original
One prompt. The scraping, the redirect resolution, and the field extraction happen together.
Try It
Open a Google Sheet with a URL list in column A and get the 7-day free trial of SheetXAI. Ask it to fill in the product data from those pages. Then see the follow-up spoke on CSS selector extraction for when you need to target specific HTML elements rather than relying on auto-parse.