The Scenario
A product manager at a B2B software company has been asked to own the competitive pricing review. The brief: collect current pricing page content from 20 competitors and build a matrix showing plan names, prices, and feature tiers. The competitor URLs are in column A of an Excel workbook. The product manager has three weeks before the pricing committee meeting. The data collection should take one day. It is currently day two, and the workbook still has no data in it.
The bad version:
- Open the first pricing page, select the pricing section, copy.
- Paste into Excel. The paste includes the page navigation, cookie consent text, and a chat widget that somehow made it into the clipboard.
- Spend 10 minutes cleaning one cell. Open the next page. Repeat.
At the current pace, 20 pages will take a full day — which was the entire budget for the data collection phase. Nothing will be left for actually building the matrix.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Excel workbook. It reads the URLs in your sheet and, through its built-in Supadata web scraping integration, fetches cleaned Markdown content from each pricing page and writes it into the workbook — extraneous content stripped, article body preserved.
Use Supadata to fetch the Markdown content from every URL in column A and put it in column B of this Excel sheet — limit to the first 2000 characters per page to keep the sheet readable
What You Get
- Column B populated with the first 2000 characters of Markdown content from each pricing page — plan names, prices, and feature bullets visible without scrolling through thousands of lines.
- Navigation links, footers, and cookie text stripped from the output.
- Rows flagged for any URL that returned no content.
- All 20 pages scraped in one operation.
What If the Data Is Not Quite Ready
Some competitor sites block scrapers or require a login to view pricing
Enterprise vendors with sales-led models often gate their pricing pages.
Use Supadata to fetch Markdown content from every URL in column A and write it into column B — if the scrape returns fewer than 300 characters, write 'Gated or blocked' in column C
You want the full content rather than a truncated version
The product manager wants the complete pricing page text available for reference even if it makes the column wide.
Use Supadata to fetch the full Markdown content from every URL in column A and write it into column B — write the character count into column C so you can see which pages have the most content
You want to extract plan names as a quick summary column
Building the matrix starts with knowing what each competitor calls their tiers.
Use Supadata to fetch Markdown content from every URL in column A, write it into column B, then scan the Markdown and extract any text that looks like a plan tier name — short, capitalised phrases near a price — and write them as a comma-separated list in column C
Some of the URLs in column A may have changed since the list was assembled
Competitors update their site structure and old URLs may redirect or 404.
Use Supadata to fetch Markdown content from every URL in column A and write the content into column B — if a page returns a redirect or error, write the final URL that resolved (if any) into column C and 'Error' in column D
The pattern: combining the scrape with redirect tracking means you know immediately which URLs need to be updated in the master list.
Try It
Get the 7-day free trial of SheetXAI and open any Excel workbook with a column of competitor URLs and ask it to scrape and import the pricing page content in one pass. If you need a full competitor site inventory before drilling into individual pages, look at the spoke on crawling a website URL map.