Schema Generation from Messy Data

CSV

How to Generate JSON-LD Schema Markup from CSV Files

Learn how to convert CSV spreadsheet data into JSON-LD schema markup for SEO rich results. Step-by-step guide with code examples and testing tips.

Read article → Data Quality

Cleaning Messy CSV Data for Schema.org Markup

Fix encoding errors, inconsistent formats, missing values, and duplicate rows in CSV files before generating schema markup. Real examples and solutions.

Read article → CSV

Product Schema from CSV: Turn Spreadsheets into Rich Results

Map CSV product data to Schema.org Product markup. Covers price normalization, GTIN validation, availability mapping, and common mistakes.

Read article → CSV

Event Schema from CSV Data: Complete Guide

Convert event spreadsheet data into Schema.org Event markup. Covers date parsing, venue formatting, ticket pricing, and recurring event handling.

Read article → CSV

LocalBusiness Schema from CSV: Multi-Location SEO

Generate LocalBusiness schema markup from CSV data for multi-location businesses. Address parsing, hours formatting, NAP consistency, and geo coordinates.

Read article → CSV

Job Posting Schema from CSV: Rich Results for Job Boards

Convert job listing spreadsheets into JobPosting schema markup for Google for Jobs. Salary ranges, remote work, employment types, and validation.

Read article → CSV

FAQ Schema from CSV: Knowledge Base to Rich Results

Convert FAQ spreadsheets and knowledge base exports into FAQPage schema markup. Q&A formatting, HTML in answers, character limits, and best practices.

Read article → CSV

Recipe Schema from CSV Data: Get Rich Snippets in Google

Convert recipe spreadsheets into Schema.org Recipe markup. Duration parsing, ingredient formatting, nutrition data, and step-by-step instruction structuring.

Read article → Schema.org

How to Map CSV Columns to Schema.org Properties

Map CSV column names to Schema.org properties for Product, Event, and LocalBusiness types. Covers property types, mismatches, and automated mapping.

Read article → Data Quality

Common CSV Data Quality Issues That Break Schema Markup

Identify and fix CSV data quality problems like encoding errors, inconsistent delimiters, and mixed types that prevent valid schema.org markup generation.

Read article → Data Quality

Price Normalization for Product Schema: Clean Messy Prices

Transform messy price formats like $1,299.99, 1.299,99 EUR, and price ranges into valid Schema.org Product offers with correct currency codes.

Read article → Data Quality

Date Format Parsing: From Messy Dates to Valid Schema.org

Parse messy date formats like MM/DD/YYYY, European DD.MM.YYYY, and natural language dates into ISO 8601 for valid Schema.org Event and Article markup.

Read article → CSV

Bulk Schema Generation: Processing 10,000+ Products from CSV

Learn strategies for generating JSON-LD schema markup from large CSV files with 10,000+ rows. Covers batch processing, memory management, and error handling.

Read article → Schema.org

CSV to JSON-LD: Understanding the Data Transformation Pipeline

Follow the complete data pipeline from CSV upload to embedded JSON-LD schema. Covers type detection, normalization, schema mapping, and embedding strategies.

Read article → Schema.org

Schema Validation: How to Test Your Generated Markup

Test and validate your JSON-LD schema markup using Google Rich Results Test, Schema.org validator, and automated tools. Fix common errors before deployment.

Read article → Airtable

Airtable to Schema Markup: Complete Integration Guide

Connect Airtable to generate Schema.org markup automatically. Covers OAuth setup, field type mapping, linked records, and keeping schema in sync with your base.

Read article → Airtable

Automating Schema.org Updates from Airtable

Set up automated schema updates triggered by Airtable changes. Covers webhooks, polling strategies, versioning, rollback, and monitoring.

Read article → Airtable

Airtable for E-commerce: Product Schema at Scale

Structure Airtable bases for product catalogs and generate Product schema markup at scale. Field mapping, variants, images, and bulk export workflows.

Read article → Airtable

Managing Event Schema with Airtable Bases

Use Airtable to manage event calendars and generate Event schema markup. Handle dates, venues, recurring events, tickets, and performer data.

Read article → Airtable

Airtable to JSON-LD API: Real-Time Schema Endpoints

Build real-time JSON-LD API endpoints from Airtable data. Serve structured data via hosted APIs with caching, CORS, and automatic updates.

Read article → Schema.org

One-Line Schema Embed: Add Structured Data Without Code Changes

Add JSON-LD structured data to any website with a single script tag. No CMS changes, no templates, no code. Works with WordPress, Shopify, and static sites.

Read article → Schema.org

Google Rich Results: Which Schema Types Actually Get Displayed

Which Schema.org types Google renders as rich results. Product stars, FAQ accordions, events, jobs, recipes, and eligibility requirements.

Read article → Schema.org

Schema.org for SEO: Measurable Impact on Click-Through Rates

Quantify the CTR impact of structured data by schema type. Star ratings, FAQ accordions, event dates, and salary ranges with measurement methods.

Read article → Data Quality

Address Parsing and Normalization for LocalBusiness Schema

Parse freetext addresses into structured streetAddress, city, state, and postalCode for LocalBusiness schema. US and international format handling.

Read article → CSV

Course and Educational Content Schema from Spreadsheets

Generate Course schema markup from CSV and spreadsheet data. Map course properties, handle schedules, instructors, pricing, and accreditation.

Read article →