The Scenario
Your data team scraped 1,500 product pages last week and the raw HTML landed in column A of a Google Sheet. Before you can run any sentiment analysis or topic modeling, you need column B to contain clean plain text — no tags, no attributes, no leftover script blocks from the page footer. The scraper ran on Friday. It's Monday. The analysis pipeline is waiting on this one column.
The bad version:
- Write a REGEXREPLACE formula in Sheets to strip HTML tags, realize it handles
<p>and<br>but not<script>blocks,&entities, or inline styles - Pull the sheet into a Python script with BeautifulSoup, get it working, run it, realize the scraper included some JSON-LD structured data blocks that BeautifulSoup doesn't strip cleanly — 200 rows still have artifacts
- Manually clean the 200 problem rows, discover that some of them have nested tables and cleaning them by hand takes 4 minutes per row
The analysis pipeline is waiting. You have 200 rows still dirty and a formula that only gets you 85% of the way there.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It uses Tisane's text extraction to strip markup reliably and write clean plain text into the destination column.
Strip HTML markup from every entry in the 'Raw HTML' column using Tisane's text extraction tool and write the clean plain text into the 'Clean Text' column
What You Get
- Column B ('Clean Text') filled with readable plain text for all 1,500 rows
- HTML tags, inline styles, script blocks, and HTML entities (like
&, ) are removed - Rows that are already plain text pass through unchanged — no double-processing
What If the Data Is Not Quite Ready
Some rows in column A are empty or contain only whitespace
Extract plain text from the 'Raw HTML' column using Tisane — skip any row where the column is blank or contains only whitespace — write results into the 'Clean Text' column
Column B already has partial results from a previous run
For rows where the 'Clean Text' column is empty, use Tisane to strip HTML from the 'Raw HTML' column and fill in the result — leave rows that already have a value in 'Clean Text' untouched
The scraped content is split across two tabs: 'Electronics' and 'Apparel'
Strip HTML from the 'Raw HTML' column on both the 'Electronics' tab and the 'Apparel' tab using Tisane and write the clean plain text into the 'Clean Text' column on each respective tab
Full pipeline: clean, analyze, and write sentiment in one shot
Strip HTML from column A using Tisane's text extraction, write the clean text into column B, then run Tisane sentiment analysis on column B and write the sentiment label into column C — all in one pass
Extraction and analysis in a single instruction. No intermediate step, no intermediate export.
Try It
Get the 7-day free trial of SheetXAI and open any Google Sheet with a column of raw HTML you need cleaned before analysis, then ask it to extract plain text across all rows. Once column B is clean, see bulk text analysis with Tisane to continue the pipeline. The full Tisane overview is at the hub.