What critical on-page SEO elements would you extract from HTML?

WHAT THIS TESTS: This question checks whether you can identify the minimal set of HTML elements that communicate page meaning to search engines and how you would reason about programmatic extraction. Interviewers want to see that you understand the distinction between what is indexed versus what is displayed to users, and that you can map HTML tags to their search result counterparts.

A GOOD ANSWER COVERS: A strong response names three core elements and explains their distinct roles in order. First, the title tag, which search engines typically use to generate the clickable headline in title links on results pages. Second, the H1 tag, which serves as the primary topical heading on the page and helps crawlers understand the main subject. Third, the meta description, which often supplies the snippet text shown beneath the title link and influences click-through behavior even though it does not directly affect ranking. A great candidate also notes that extraction would require parsing the head section for title and meta description and the body for H1, handling cases where multiple H1s exist or tags are missing.

COMMON WRONG ANSWERS: Red flags include conflating the title tag with the H1, claiming that meta descriptions are a ranking factor, or suggesting extraction of purely visual elements like CSS classes instead of semantic markup. Another weak pattern is listing dozens of tags without prioritizing them; the interviewer wants judgment about what is critical, not an exhaustive crawl of every attribute.

LIKELY FOLLOW-UPS: Expect the interviewer to ask how you would handle missing or duplicate tags, how you would extract this data at scale across thousands of pages, or whether you would also pull Open Graph tags or structured data. They may also ask how you would validate that your extracted data actually matches what appears in search results.

ONE CONCRETE EXAMPLE: Imagine you are building a content audit tool for a blog with five thousand posts. You write a parser that pulls the title tag from the head, the first H1 from the article body, and the meta description content attribute. You then flag posts where the title is shorter than thirty characters or longer than sixty, where the H1 differs significantly from the title, or where the meta description is missing entirely. This gives the editorial team a prioritized list of pages to fix without overwhelming them with every HTML element on the page.