The Scenario
You set a Browse.ai robot called "Price Tracker" running overnight on 500 product pages. It finished at 3 AM. You're at your desk now with a cup of coffee and a Google Sheet that's still empty.
The results are sitting in Browse.ai's task history. You don't need to re-run anything — the data is there, captured, timestamped. You just need it in the sheet so you can run the pricing analysis your manager asked for before the 10 AM sync.
The bad version:
- Open Browse.ai, navigate to the Price Tracker robot's task history, filter to completed tasks, and export the CSV
- Open the CSV, discover the column names don't match your sheet's headers, rename them manually
- Paste the data into your sheet, realize the rows are sorted by completion time and not by product URL, sort both the CSV and the sheet, and reconcile them
You haven't done any analysis yet. You've just moved data from one place to another, and it's 9:15.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads the sheet, understands what you're staring at, and through its Browse.ai integration it can fetch completed task results and write them directly into your columns — without a CSV export, without manual reconciliation.
Fetch the last 200 completed tasks for my Browse.ai robot 'Price Tracker' and write each task's captured price, product name, and screenshot URL into my Google Sheet — one row per task, starting at row 2 with headers in row 1
What You Get
- Columns A through D populated: product name, captured price, screenshot URL, task completion timestamp
- 200 rows written in one pass — no CSV download, no sorting step, no column rename
- Failed or empty tasks noted in a status column so you know which product pages need a follow-up run
What If the Data Is Not Quite Ready
You only want tasks that completed successfully — skip errors
Some tasks returned a 403 or a blank page. You don't want those rows in your analysis sheet.
Fetch the last 200 completed tasks for my Browse.ai robot 'Price Tracker' where status is 'successful', then write captured price, product name, and completion time into columns A, B, and C — skip any task that returned an error or empty fields
The extracted price field has inconsistent formatting
Some prices came back as "$12.99", some as "12.99", and some as "12,99" from international pages. You need them normalized before analysis.
Fetch the last 200 successful tasks for my Browse.ai robot 'Price Tracker', normalize the captured price field to a plain decimal number (e.g. 12.99), and write product name in column A and normalized price in column B — flag any rows where the price couldn't be parsed in column C
You want to join task results against a product list in another tab
Your "Products" tab has product IDs in column A. You want to match each Browse.ai result to the right product ID before writing it.
Fetch all successful completed tasks for my Browse.ai robot 'Price Tracker', match each result's product URL against the URLs in column B of my 'Products' tab, and write the captured price into column C of 'Products' next to the matching row — leave blanks where no match is found
Full kill-chain: fetch, clean, flag anomalies, and write the summary in one shot
You need the raw data, a normalized price column, a flag for anything that jumped more than 15% from last week's price in column D of the same sheet, and a summary row at the bottom.
Fetch the last 500 successful tasks for my Browse.ai robot 'Price Tracker', normalize captured prices to plain decimals in column B, compare each to the value in column E (last week's price), flag rows where the change exceeds 15% with 'ALERT' in column F, then write a summary at the bottom of the sheet showing total products tracked, average current price, and count of alerts
One prompt handles the fetch, the cleanup, the comparison logic, and the summary — without a single manual step in between.
Try It
Get the 7-day free trial of SheetXAI and open any Google Sheet where you'd normally paste Browse.ai task results by hand, then ask it to fetch the completed tasks and write them in directly. For other Browse.ai workflows, see how to bulk-run a robot on a list of URLs or audit all your robots and their input parameters.