VRBO Property Data Transformation for WordPress Import
Large-scale data transformation project converting 200K+ VRBO property records into WordPress-ready structured format with derived columns and optimized image formatting. Raw scraped JSON-style property data was not compatible with WordPress import scripts. Client required structured, calculated, and reformatted fields across 200K+ records
Case visual
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Records Transformed
Processing Time
Formats Delivered
Original Size
Raw scraped JSON-style property data was not compatible with WordPress import scripts. Client required structured, calculated, and reformatted fields across 200K+ records.
Built database-level transformation scripts to restructure nested fields, calculate derived values (bedroom/bathroom counts), reverse and reformat image URLs, and export optimized Excel files ready for WordPress import.
After implementation, Fully flattened, computed, and import-ready Excel dataset optimized for affiliate site deployment.
Behind the Scenes
How the system moved from problem to controlled execution.
Problem
Raw scraped JSON-style property data was not compatible with WordPress import scripts. Client required structured, calculated, and reformatted fields across 200K+ records. Bedrooms & bathrooms stored as nested JSON arrays. Images stored as key-value object with captions. Image order needed to be reversed. Custom image separator required (~~~).
System Built
Built database-level transformation scripts to restructure nested fields, calculate derived values (bedroom/bathroom counts), reverse and reformat image URLs, and export optimized Excel files ready for WordPress import. Workflow covered: Load 200K+ property records from MongoDB; Parse nested rooms_and_beds JSON; Calculate total bedrooms (integer column); Calculate total bathrooms (integer column); Reverse image URL order.
What Changed
200K+ records transformed. < 24 hrs full dataset restructuring time. 2 formats per-state + Master file delivered. 1.2GB to 696MB optimized final export size. Processed 200K+ records in under 24 hours. 1.2GB dataset optimized under 1GB platform limit.
Before / After
What changed after the system was rebuilt.
Data compatibility
Before
Nested JSON incompatible with WordPress
After
WordPress-ready structured format
File size
Before
1.2GB exceeding limits
After
696MB under platform limit
Processing speed
Before
N/A
After
200K+ records in under 24 hours
Data structure
Before
Nested JSON arrays
After
Flattened derived columns
Delivery Scope
What was included in the system delivery.
MongoDB-to-Excel transformation scripts
Flattened bedroom and bathroom derived columns
Reformatted image URL columns with custom separators
Boolean conversion to WordPress-ready values
Per-state and master import-ready files
Controls
Checks built in to keep the workflow reliable.
Nested JSON is parsed directly from MongoDB to avoid manual spreadsheet handling
Derived bedroom and bathroom counts are computed before export
Unnecessary columns are removed to reduce final file size
Image URLs are normalized into the required import format
Exports are split to support platform import limits
Tools & Stack
Tools used to build, connect, and deliver this system
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