The Scenario
Your SEO manager handed you a workbook on Friday afternoon. It has 200 blog post URLs in column A and a note that says "need schema.org Article metadata by Monday — author, datePublished, headline." The context: the team is running a structured data audit before a site migration, and the content team needs to know which posts are missing required fields.
The approach you'd normally take:
- Open each URL, view page source, search for "application/ld+json," copy the block, paste it into a JSON formatter, manually extract the three fields, switch back to the workbook, type them in
- Try a browser extension that promises to extract schema data — it works on 60% of the URLs, silently fails on the rest, and gives you no indication which rows are incomplete
- Export the URL list and paste it into Agenty's UI, configure the structured data extraction agent, run the job, download the output CSV, open it separately, and manually match the 200 rows back to your workbook
It's Monday morning. You have a three-hour window before a team sync where this data needs to be in the slide deck. Manual extraction for 200 URLs isn't a plan — it's a commitment to a very specific kind of suffering.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your Excel workbook. It reads what's in your workbook and uses Agenty to pull structured data from the web at scale. You tell it what you need; it handles the extraction and writes the results back into your specified columns.
For each URL in column A, extract the JSON-LD structured data and write the headline, author, and datePublished into columns B, C, and D
What You Get
- Column B: the Article headline from the JSON-LD block
- Column C: the author name (or the first author if it's an array)
- Column D: the datePublished value in the format it appears in the markup
- Rows where no JSON-LD block was found get a "no structured data" note in column E
What If the Data Is Not Quite Ready
Some posts use RDFa or OpenGraph instead of JSON-LD
For each URL in column A, attempt JSON-LD extraction first — if no JSON-LD is found, fall back to OpenGraph og:title, og:author, and article:published_time — write results into B, C, D and note the extraction method in column E
The datePublished is in inconsistent formats across posts
Extract datePublished from all URLs in column A and normalize all values to ISO 8601 format (YYYY-MM-DD) before writing to column D — flag rows where the original format couldn't be parsed in column E
You need to cross-reference against a second worksheet of expected authors
Extract author names from all URLs in A2:A201 using Agenty, write them into column C, then check each result against the 'Authors' worksheet column A and flag any rows where the extracted author doesn't appear on that list in column D
Complete the audit in one pass
For all 200 URLs in A2:A201, extract headline, author, and datePublished using Agenty — write them into B, C, D — flag rows missing datePublished with "MISSING" in column E and generate a summary count of missing fields in cell F1
One prompt covers the extraction, the gap-flagging, and the summary rollup.
Try It
Get the 7-day free trial of SheetXAI and open any Excel workbook with a list of blog URLs — then ask SheetXAI to pull structured data fields from each one using Agenty. For related workflows, see how to audit on-page SEO elements or review the full Agenty overview.