Why use FAQ Extractor?

It turns question headings, details/summary, definition lists, and existing FAQPage JSON-LD into markup you can paste. Marked-up Q&A is machine-readable. A paragraph that happens to ask a question is not.

Will Extract FAQs write questions I did not ask?

No. Every row is already on the page or a row you added. If the list is empty, the page has no question shapes. It will not draft a FAQ from a narrative heading.

Why is FAQPage JSON-LD blank when I see two rows?

Those rows failed the prose checks, or only one passed. Valid answers need 40 or more characters, 8 or more words, and a verb. Short stubs stay in Extracted and still produce no schema.

What does Missing schema list?

Visible questions that are not already in the page's FAQPage JSON-LD. Marked up is the count already in that JSON-LD.

What counts as a question it can extract?

H2-H4 in question form (What / Why / How, or a heading that ends with ?), details/summary, definition lists, and FAQPage JSON-LD already in the HTML. Nav chrome and bylines are stripped.

Do answers under 40 characters count as schema-ready?

No. The answer field warns at under 40 and over 1,000 characters. Those rows can stay in Markdown. They do not enter FAQPage JSON-LD.

Does Extract FAQs read JSX source?

Yes. Question headings inside component source can extract. If the FAQs only appear after the app runs, paste the rendered HTML instead.

Why did a blog index get a listing warning?

Headings that are only links to other posts look like an index. The hint is This looks like a listing page, not an article. Open one article URL and extract there.

FAQ Extractor

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About FAQ Extractor

FAQ Extractor pulls question and answer pairs that already exist on the page and turns valid ones into FAQPage JSON-LD and Markdown. Enter a Page URL or Paste code, click Extract FAQs. It does not write new questions.

It reads H2-H4 in question form (What / Why / How, or a heading that ends with ?), details/summary, definition lists, and any FAQPage JSON-LD already in the HTML. The header counts Extracted, Schema-ready, Marked up, and Missing schema. Extracted Q&A lets you edit, reorder, Add row, or Delete. Answers under 40 or over 1,000 characters show a warning.

JSON-LD is emitted only from valid prose pairs, and only when at least two pass. Markdown lists every extracted question. This is not a FAQ writer.

When to use it

Use it after the article already asks questions in headings or in a details block, and before you paste schema your CMS will not generate. Use it when a competitor's FAQ card is cited and your page buries the same Q&A in a paragraph. Run it again after you add or rename a question heading.

How to use FAQ Extractor

1Enter a Page URL or paste the markup. HTML, JSX, TSX, JavaScript, Markdown, or plain text. A URL fetch does not run JavaScript.
2Click Extract FAQs. Read Extracted, Schema-ready, Marked up, and Missing schema. An empty hint means no question shapes were found.
3Edit the Extracted Q&A list. Change text, Up / Down, Delete, or Add row for a pair that is still on the page.
4Copy FAQPage JSON-LD or Markdown. JSON-LD needs two valid prose answers. Markdown is for a brief or an llms.txt section.

How to read the results

A Wikipedia-style sourdough article with History and Biology headings returned empty, No Q&A pairs found, and no JSON-LD. Two question H2s with prose answers extracted both pairs, listed both under Missing schema, and built FAQPage JSON-LD. One valid question plus a byline heading produced no schema: FAQPage needs at least two. Yes. / Because. pairs stayed in the list, tripped the low-quality banner, and still emitted no JSON-LD.

Schema-ready is the valid-prose count (40 or more characters, 8 or more words, a verb, not a name list). Marked up is FAQPage already on the page. Missing schema is visible questions absent from that JSON-LD. A listing URL shows This looks like a listing page, not an article.

Why this matters for AI search

Marked-up Q&A is machine-readable. A paragraph that happens to contain a question is not. FAQ Extractor will not invent a pair from a History heading, even when the prose under it could answer How long does a starter take. The pair has to be a question heading, a details/summary, a definition list, or FAQPage JSON-LD.

That is why two sourdough H2s that already asked What and How became schema-ready, and a long encyclopaedia page did not. Engines that lift FAQ blocks look for those shapes. Running prose can still be quoted, but it will not be read as a question with an accepted answer unless you mark it that way.

What this tool cannot do

It cannot invent questions, execute JavaScript, or query ChatGPT. A URL fetch is the first HTML response. Five runs per hour. Localhost is blocked. Nav chrome and bylines are stripped. JSON-LD is withheld when quality checks fail.

Common mistakes

Clicking Extract FAQs on a blog index. Listing pages are rejected on purpose.

Adding a row that is not on the live page, then pasting JSON-LD. Markup must match visible Q&A.

Expecting JSON-LD from one good pair. The pane stays empty until two valid answers exist.

Treating Schema-ready as a Google rich-result promise. Google limits FAQ rich results to government and health sites.

FAQs

Why use FAQ Extractor?: It turns question headings, details/summary, definition lists, and existing FAQPage JSON-LD into markup you can paste. Marked-up Q&A is machine-readable. A paragraph that happens to ask a question is not.
Will Extract FAQs write questions I did not ask?: No. Every row is already on the page or a row you added. If the list is empty, the page has no question shapes. It will not draft a FAQ from a narrative heading.
Why is FAQPage JSON-LD blank when I see two rows?: Those rows failed the prose checks, or only one passed. Valid answers need 40 or more characters, 8 or more words, and a verb. Short stubs stay in Extracted and still produce no schema.
What does Missing schema list?: Visible questions that are not already in the page's FAQPage JSON-LD. Marked up is the count already in that JSON-LD.
What counts as a question it can extract?: H2-H4 in question form (What / Why / How, or a heading that ends with ?), details/summary, definition lists, and FAQPage JSON-LD already in the HTML. Nav chrome and bylines are stripped.
Do answers under 40 characters count as schema-ready?: No. The answer field warns at under 40 and over 1,000 characters. Those rows can stay in Markdown. They do not enter FAQPage JSON-LD.
Does Extract FAQs read JSX source?: Yes. Question headings inside component source can extract. If the FAQs only appear after the app runs, paste the rendered HTML instead.
Why did a blog index get a listing warning?: Headings that are only links to other posts look like an index. The hint is This looks like a listing page, not an article. Open one article URL and extract there.