The Scenario
A product manager at a SaaS company has been asked to build a competitive pricing matrix ahead of a pricing review next quarter. The first step is to collect raw information from 20 competitor pricing pages — plan names, prices, and feature bullets. The URLs are already in column A of a Google Sheet, gathered over the past week from a combination of the company's CRM notes and a quick competitor audit. The product manager needs the text from each page in the sheet so the matrix can be assembled without bouncing between 20 browser tabs while writing.
The bad version:
- Open each pricing page, select the main content area, copy.
- Paste into column B. Discover the paste includes nav links, cookie consent text, and chat widget labels alongside the actual pricing content.
- Manually delete the extraneous content. Move on to the next URL. Repeat 19 times.
The pricing review presentation is in three weeks. The data collection phase needs to be done today so there is time to actually build the matrix.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads the URLs in your sheet and, through its built-in Supadata web scraping integration, fetches the Markdown content from each pricing page and writes it directly into the sheet — extraneous content stripped, article body preserved.
Scrape each competitor pricing page URL in column A using Supadata and write the page title and full Markdown content into columns B and C so I can extract pricing info manually
What You Get
- Column B: page title for each URL.
- Column C: the full Markdown body of each pricing page — plan structure, feature bullets, and pricing callouts preserved.
- Navigation links, cookie banners, and footer content stripped from the output.
- All 20 pages scraped in one operation, with failure flags for any URL that does not return content.
What If the Data Is Not Quite Ready
The Markdown content is very long and makes the sheet hard to navigate
Some pricing pages include extensive feature comparison tables that fill hundreds of lines.
Scrape each competitor pricing page URL in column A using Supadata and write the page title into column B and the first 2500 characters of the Markdown content into column C — note in column D if the content was truncated
You want to pre-extract plan names from the Markdown as a quick reference
The pricing matrix needs a column with the plan tiers listed for each competitor.
Scrape each competitor pricing page URL in column A using Supadata, write the full Markdown content into column C, then scan column C and extract any lines that appear to be plan tier names (short lines near a price point) and write them as a comma-separated list in column D
Some competitor sites block automated scraping and return no content
A handful of enterprise vendors behind a login wall may not return usable content.
Scrape each URL in column A using Supadata and write the title into column B and the Markdown content into column C — if the scrape returns less than 200 characters of content, write 'Blocked or login required' in column D
You want the raw content plus a structured summary per competitor
Scrape each competitor pricing page URL in column A using Supadata, write the full Markdown content into column C, then for each row summarise the number of pricing tiers visible in the content and write the count into column D
The pattern: asking for the scrape and a lightweight structured summary in one prompt gives you the raw material and a quick orientation layer at the same time.
Try It
Get the 7-day free trial of SheetXAI and open any Google Sheet with a column of competitor URLs and ask it to scrape and import the pricing page content in one pass. For a broader site inventory before drilling into individual pages, look at the spoke on crawling a website URL map.