The Scenario
You're the product manager responsible for your company's pricing page refresh. The project's been kicking around for two months. Yesterday, the head of product finally scheduled a working session for next Tuesday — which means you need a competitor pricing matrix in front of the team by Monday morning.
You have 15 competitor pricing page URLs in column A of an Excel workbook. You need plan names in column B and prices in column C, current as of today. Last quarter's pricing doc is already wrong — three competitors repriced in Q1.
The bad version:
- Open URL 1. Find the pricing table. Work out whether the displayed price is monthly or annually. Copy the plan names. Copy the prices.
- Toggle back to the workbook. Paste everything into B2 and C2.
- The next URL requires logging in to see pricing. The one after that shows pricing as a calculator widget. By competitor 7, you're behind on two other things.
Pricing data is live. This isn't a research problem — it's an extraction problem. And it has to be done before the Monday 8 AM standup.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your Excel workbook. It takes your list of competitor URLs, calls Tavily to extract pricing content from each page, and writes the structured data directly into columns B and C.
Extract the pricing information from each URL in column A (rows 2 through 16) using Tavily. Write the plan names to column B and the listed prices to column C. If a URL is behind a login or returns no pricing data, write "LOGIN REQUIRED" or "NO PRICING FOUND" in column B.
What You Get
- Column B: plan names extracted from each pricing page (e.g., "Starter", "Pro", "Enterprise").
- Column C: the listed prices for each plan, as shown on the page.
- Pages that require login to see pricing flagged as "LOGIN REQUIRED" in column B.
- Pages with no extractable pricing structure flagged as "NO PRICING FOUND."
- All 15 URLs processed in a single pass.
What If the Data Is Not Quite Ready
Some pricing pages show annual pricing only — you need both monthly and annual
For each URL in column A, use Tavily to extract plan names, monthly price, and annual price. Write plan names to column B, monthly prices to column C, and annual prices to column D. If only one billing period is shown, leave the other column blank for that competitor.
Prices are in different currencies — you need everything normalized to USD
Extract pricing from each URL in column A using Tavily. Write plan names to column B and prices to column C. Convert any non-USD prices to USD using the approximate exchange rate and note the original currency in column D.
You want a "per seat" vs "flat fee" indicator for each plan
Extract pricing from each URL in column A. Write plan names to column B, prices to column C, and in column D write "per seat" if the price is per user or "flat" if it's a flat monthly/annual fee. Infer from the pricing page context.
Full extraction with currency normalization, billing period split, and pricing model flag
For each URL in column A, use Tavily to extract all plan names, monthly price, annual price, and whether pricing is per seat or flat. Write plan names to column B, monthly price to column C, annual price to column D, and pricing model (per seat / flat) to column E. Convert non-USD prices to approximate USD and note the original currency in column F. Flag pages that couldn't be extracted in column B.
One prompt builds the full comparison matrix — no tab-switching, no copy-pasting.
Try It
Get the 7-day free trial of SheetXAI and open any Excel workbook with competitor pricing URLs in column A, then ask it to extract plan names and prices for the whole list using Tavily. See also bulk enrichment with search results and the hub overview.