✓ TestedWorks with CSV, Excel, Google Sheets → JSON-LD Schema
By dataclean.to team · 2026-02-13
FAQ pages are one of the most accessible ways to earn rich results in Google Search. When implemented correctly, FAQPage schema displays expandable question-and-answer pairs directly in search results, dramatically increasing your listing's visual footprint and click-through rate. If your FAQ content lives in a CSV or spreadsheet, dataclean.to can convert it into validated FAQPage JSON-LD markup, cleaning the text formatting issues that commonly cause validation failures.
The Problem
FAQ data in spreadsheets often comes from customer support logs, knowledge base exports, or manually compiled documents. Questions may include question marks or not. Answers might contain HTML tags from a CMS export, Markdown formatting, embedded links with raw URLs, or smart quotes and special characters that break JSON syntax. Some rows have empty answers, placeholder text, or internal notes mixed in with public-facing content. Multi-paragraph answers may have inconsistent line breaks. All of these formatting issues need to be resolved before the data can produce valid FAQPage schema that Google will accept and display as rich results. FAQPage schema type specification
How to Fix It
1
Upload your FAQ CSV file
Import your CSV containing question-and-answer pairs. The simplest format is two columns — one for questions and one for answers — but dataclean.to also handles files with additional columns like category, page URL, or date added.
2
Detect and flag text quality issues
dataclean.to scans the question and answer text for issues: HTML tags that should be preserved or stripped, unescaped special characters that would break JSON, empty or placeholder answers, inconsistent punctuation, and encoding artifacts from CMS exports.
3
Clean question and answer formatting
Normalize all FAQ text: ensure questions end with question marks, strip or preserve HTML tags based on your preference (FAQPage schema allows limited HTML in answers), escape special characters, fix encoding issues, and remove rows with empty or placeholder content.
4
Map to FAQPage schema structure
Each row becomes a Question entity within the FAQPage schema. The question column maps to the name property and the answer column maps to the acceptedAnswer text property. Additional columns can inform the page-level metadata.
5
Generate FAQPage JSON-LD
Export the complete FAQPage JSON-LD with all questions nested as mainEntity entries. The output is a single schema object per page (not per question), following Google's requirement for FAQPage markup. Test with the Rich Results Test to confirm eligibility.
Frequently Asked Questions
Can I include HTML in FAQ answers for schema markup?
Google's FAQPage schema supports a limited set of HTML tags in the acceptedAnswer text: links (<a>), lists (<ol>, <ul>, <li>), bold (<b>), italic (<i>), headings (<h2>-<h6>), and paragraphs (<p>). dataclean.to can either strip all HTML or preserve only the allowed tags, depending on your preference.
How many FAQs should be on a single page for schema?
Google's FAQPage schema is designed for pages where the primary purpose is presenting FAQ content. There's no hard limit on the number of questions, but Google recommends that FAQPage markup reflect the visible FAQ content on the page. Generating schema for questions not visible on the page violates Google's guidelines.
Can I group FAQs by category and generate separate schema for each page?
Yes. If your CSV includes a category column, you can filter and export separate FAQPage JSON-LD for each category. This is useful when your FAQ content is spread across multiple pages on your site, each covering a different topic area.
Example: Input → Output
name
email
phone
city
status
Alice Johnson
alice@example.com
+1-555-0101
New York
active
alice johnson
ALICE@EXAMPLE.COM
5550101
new york
Active
Red rows show common data quality issues. dataclean.to normalizes and generates JSON-LD automatically.