The Scenario
A sales analyst at a B2B software company has just been handed a spreadsheet. It's a tab called "Prospect Pricing" — 53 rows, each one a SaaS company with their pricing page URL in column A, assembled by an SDR who left the team two weeks ago. The ask: build a structured comparison table showing each company's pricing tier names, monthly prices, and feature counts, so the sales team can position against them in discovery calls.
Nobody wrote down what schema to use. Nobody left notes. The SDR is gone.
The bad version:
- Open the first pricing page, try to identify the tier names, type them into a merged cell, realize merged cells don't work well for comparisons, start over with a flat structure
- Spend 20 minutes on page 3 because the company uses a toggle for monthly vs. annual pricing and you're not sure which price to record
- Get to page 31 and find it's a "contact for pricing" page with no published numbers, and realize you have no consistent column for capturing that case
The report is supposed to go into the sales enablement deck next Tuesday. You're spending time on data entry when you're supposed to be doing analysis.
The Easy Way: One Prompt in SheetXAI
SheetXAI sits inside your Google Sheet as an AI agent. It reads the sheet, understands what you're trying to build, and uses Hyperbrowser's AI extraction capability to pull structured fields from each pricing page — not with CSS selectors, but with a natural language schema you describe in plain English.
For each URL in column A of the "Prospect Pricing" tab (rows 2–54), run a Hyperbrowser AI extraction to pull the pricing tier names, the monthly price for each tier, and the number of features listed per tier from the pricing page. Write tier names to column B, monthly prices to column C, and feature counts to column D. If the page shows annual-only pricing, note "annual only" in column E.
What You Get
- Column B: tier names as listed on the page (e.g., "Starter," "Pro," "Enterprise")
- Column C: monthly price per tier, with currency preserved
- Column D: feature count per tier where the page makes that explicit
- Column E: "annual only" flag where monthly pricing isn't published
- Rows where the page returns "contact for pricing" get a note in column F so you can route them to a separate outreach
What If the Data Is Not Quite Ready
Some pricing pages require clicking a "monthly" toggle before the right prices are visible
For each URL in column A of "Prospect Pricing" where column C is blank, attempt the Hyperbrowser extraction again and look specifically for a monthly/annual toggle — extract the monthly pricing if available, otherwise note "toggle not found" in column E.
Two companies use the same parent pricing page but the URL in column A goes to a regional subdomain that shows different currency
For each URL in column A, extract the pricing currency as well as the price and write the currency symbol to column G. If the currency differs from USD, flag the row in column H with the detected currency.
Several companies have 5+ pricing tiers and the current column layout can't fit them all in one row
For rows in "Prospect Pricing" where more than 3 tier names are found, restructure the output so each tier gets its own row below the parent company row, with the company name repeated in column A and the tier data in columns B–D.
The sales director wants a one-line positioning note for each competitor based on their pricing structure before Tuesday's deck
After populating columns B–D in "Prospect Pricing," for each row generate a one-sentence competitive positioning note based on the tier structure and price points, and write it to column I. Flag any competitor with a lower entry price than our $29/month Starter tier in column J.
Combining the extraction with the competitive analysis in one prompt cuts the Tuesday prep to a single conversation.
Try It
Get the 7-day free trial of SheetXAI and open your SaaS prospect list, then ask it to run Hyperbrowser AI extraction across every pricing page and write a structured comparison table back into the sheet. You can also look at bulk scraping product URLs or return to the Hyperbrowser overview.