Schema Extractor
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⚙ Technical SEO

Schema Markup Extractor

v1.0 documentation

Extracts and validates JSON-LD, Microdata, and RDFa structured data. Checks for common schema types and missing recommended properties.

URL inputFile inputXLSX export
schema_extractor.py132 lines4 paramsPython 3.8+
Quick start
1

Install

terminal
pip install -r requirements.txt
2

Run

terminal
python schema_extractor.py --url https://example.com
terminal
python schema_extractor.py --urls https://a.com https://b.com --output schema_audit.xlsx
3

Export

Add --output report.xlsx to save results as a spreadsheet.

Parameters
FlagDescription
--urlSingle URL
--urlsUrls. Multiple values allowed
--fileHTML file
--outputSave as XLSX
help
python schema_extractor.py --help
Use cases
Technical audit
Pre-launch check
Ongoing monitoring

Run as part of a full site audit. Export issues to XLSX, prioritize by severity, and create a fix roadmap for the dev team.

Run before launching a new site or after a migration. Catch technical issues before Google crawls the new version.

Schedule regular checks and compare outputs over time. Catch regressions early.

Works well with

Combine with other tools for a complete workflow:

Canonical Checker

Validates canonical URLs across pages. Detects missing, self-referencing, cross-

Core Web Vitals Estimator

Estimates CWV signals from HTML analysis: LCP candidates, CLS risk factors, rend

Crawl Budget Optimizer

Heading Analyzer

Analyzes H1-H6 heading hierarchy for SEO best practices. Checks for missing leve

Hreflang Validator

Validates hreflang implementation across multilingual pages. Checks for missing

Http Header Auditor
Dependencies

Requires: beautifulsoup4, pandas, requests. All included in requirements.txt.

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AAIO Inc — aaioinc.com/tools/schema_extractor/