The Scenario
Your team built a Browse.ai robot three months ago to pull company size, industry, and headquarters city from LinkedIn company pages. It works. The problem is you've been feeding it URLs manually — ten at a time, from the Browse.ai dashboard — because nobody ever connected it to the 300-row Excel workbook where the URLs actually live.
Today, someone on the sales team flagged that 80 of those companies haven't been enriched yet. They're staring at a column of blanks and wondering if the robot even works.
The bad version:
- Copy 80 URLs from the workbook, paste them into Browse.ai's bulk task input, wait for the run to finish, then download the results CSV
- Open the CSV alongside the workbook and manually match each result row back to the right source row — sorting by URL, fixing the three rows where the URL format doesn't match exactly
- Paste company size into column B, industry into column C, HQ city into column D, and repeat for whichever rows returned partial data
The fact that you're the one doing this reconciliation means the robot is only half the solution. The data got scraped — it just didn't arrive anywhere useful automatically.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Excel workbook. It reads the workbook, understands what's in it, and through its built-in Browse.ai integration it can run your robot on every URL in a column and write the results back — in the same pass.
Bulk-run my Browse.ai robot 'Company Scraper' on all 300 URLs in column A of this Excel workbook and populate company name, size, and industry from the robot output into columns B, C, and D
What You Get
- Columns B, C, and D populated with extracted values for each URL row
- Rows where Browse.ai couldn't load the page flagged with a status note in column E so you know exactly what to re-check
- No CSV download, no manual sort-and-match, no column renaming
What If the Data Is Not Quite Ready
The robot name doesn't match what's in Browse.ai exactly
Browse.ai robot names are case-sensitive. If your prompt says "Company Scraper" but the robot is saved as "company scraper (v2)", nothing runs.
List all Browse.ai robots in my account and write their exact names and IDs into column F starting at row 1, then run the robot whose name contains 'Scraper' on every URL in column A of this workbook
Some URLs in column A are duplicates
Running the robot twice on the same URL wastes tasks and clutters your results.
Run my Browse.ai robot 'Company Scraper' on every unique URL in column A of this Excel workbook — skip duplicates — and write extracted company size, industry, and HQ city into columns B, C, and D
The URLs are spread across two worksheets
Your source URLs are split between a "Q1 Prospects" worksheet and a "Q2 Prospects" worksheet, and you need to enrich both in one pass.
Run my Browse.ai robot 'Company Scraper' on all URLs in column A of both the 'Q1 Prospects' and 'Q2 Prospects' worksheets, then write company size, industry, and HQ city back into the respective adjacent columns on each worksheet
The columns are already partially filled — only run on blanks
80 rows have data. 220 don't. You don't want to burn tasks re-running rows that are already enriched.
Run my Browse.ai robot 'Company Scraper' only on rows in column A where column B is empty, then write extracted company size, industry, and HQ city into columns B, C, and D for those rows only — flag any that returned no data in column E
The pattern across all four: describe the condition first, then the action. SheetXAI handles the filtering before it ever touches Browse.ai.
Try It
Get the 7-day free trial of SheetXAI and open any Excel workbook with a column of URLs you've been manually feeding into Browse.ai, then ask it to run the robot on the whole column and write back the results. For a different angle on Browse.ai workflows, see how to audit all your robots and their parameters or import completed task results.