The Scenario
You're a market researcher. Your Q2 deliverable is a competitive landscape report covering 30 emerging themes in your industry. The brief came from leadership three days ago. The method: gather real, current source material for each theme from the open web — not your own assumptions, not articles you bookmarked six months ago.
Column A of your "Research Questions" workbook already has all 30 queries. Column B is empty. Column C is empty.
The bad version:
- Open Google, search the first query, open the top three results, read through them, decide which is most relevant, copy the URL into column B, summarize the content manually into column C
- Do that 29 more times
- Realize on day two that the content you're summarizing is generic — the top results for some queries are SEO-optimized roundups with no real data in them
You have a deadline and 30 gaps in a workbook. Filling them manually, one search at a time, is a full week of work that produces a report the leadership team will read once.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Excel workbook. It reads your data and through its built-in Firecrawl integration it can run each query as a web search, retrieve and scrape the top result, and write the URL and extracted content back into your workbook — automatically, for all 30 rows.
For each search query in column A of my "Research Questions" worksheet, run a Firecrawl web search and write the top result's URL into column B and the scraped page content (first 500 characters) into column C. Flag any query where the top result returned a non-HTML page or an error in column D.
What You Get
- Column B with the URL of the top result for each query
- Column C with the first 500 characters of scraped content from that page — enough to assess relevance and extract the key claim
- Column D flagging any row where Firecrawl couldn't retrieve clean content — paywalled pages, PDFs, or error responses — so you know which queries need a different source
What If the Data Is Not Quite Ready
Some queries returned landing pages or SEO roundups — I need the second or third result for those
For any query in column A where the content in column C contains phrases like "ultimate guide", "everything you need to know", or "complete list", re-run the search and take the second result instead. Write the replacement URL into column B and updated content into column C. Mark those rows in column E as "second result".
The content in column C is too short for some rows — the page scraped to less than 100 characters
For any row where column C is shorter than 100 characters, re-run the Firecrawl search for that query and take the top result that returns at least 200 characters of body content. Write the new URL and content into columns B and C, and flag the row in column D as "re-fetched".
I want both the top result and the second result for each query — two sources per theme
For each query in column A, run a Firecrawl web search and write the top result's URL into column B and its scraped content (first 400 characters) into column C. Then write the second result's URL into column D and its scraped content into column E.
The full research pipeline: search, scrape, summarize each theme, and flag weak sources
For each query in column A, run a Firecrawl web search and retrieve the top result. Write the URL into column B and the full scraped content into column C. Then generate a one-sentence summary of the most important claim in column C and write it into column D. Flag any row where the content in column C is under 200 characters or appears to be a generic landing page as "weak source" in column E.
One instruction: search, scrape, summarize, and quality-flag — across all 30 rows.
Try It
Get the 7-day free trial of SheetXAI and open your research questions workbook in Excel, then ask it to run every query through Firecrawl and write the top result content back into the adjacent columns. Link to the hub: How to Connect Firecrawl to Excel. Also see: Crawl a Documentation Site Into an Excel workbook for LLM Training Data.