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VRBO USA Property Data Extraction

Large-scale browser automation system built to extract 200,000+ U.S. property listings from VRBO, including full property details, images, amenities, reviews, and structured metadata. Client required a complete export of all U.S. VRBO properties (200K+) including deep property-level data, but the platform enforces pagination limits, CAPTCHA protection, and bot-detection mechanisms

Delivered Oct 2024•Jack C., Upwork Client•7-10
0

Properties Extracted

0+

Data Fields Per Property

839MB

Master Excel Size

0%

Nationwide Coverage

Client required a complete export of all U.S. VRBO properties (200K+) including deep property-level data, but the platform enforces pagination limits, CAPTCHA protection, and bot-detection mechanisms.

Built a scalable Selenium-based browser automation framework with IP rotation and controlled request throttling to safely extract 200,000+ U.S. property listings and all nested property details.

After implementation, Fully structured nationwide VRBO dataset ready for affiliate site development and large-scale property intelligence usage.

Behind the Scenes

How the system moved from problem to controlled execution.

01

Problem

Client required a complete export of all U.S. VRBO properties (200K+) including deep property-level data, but the platform enforces pagination limits, CAPTCHA protection, and bot-detection mechanisms. VRBO limits listings per search result page (~300 cap per area). Full USA coverage required city-by-city and area-by-area traversal. CAPTCHA protection and aggressive bot-detection. Dynamic content loading (JavaScript-rendered data).

02

System Built

Built a scalable Selenium-based browser automation framework with IP rotation and controlled request throttling to safely extract 200,000+ U.S. property listings and all nested property details. Workflow covered: Traverse USA locations state to city to sub-area to bypass 300-listing cap; Collect 200K+ property URLs; Store URLs in MongoDB before detail extraction; Process detail pages in controlled batches; Extract title, description, amenities, host info, rules, policies.

03

What Changed

201,717 uSA properties extracted. 21+ data fields per property. 839MB final master Excel size. 100% nationwide coverage. 201,717 total U.S. properties extracted. Dynamic scraping with bot-avoidance logic.

Before / After

What changed after the system was rebuilt.

01

Properties extracted

Before

0

After

201,717

02

Data fields per property

Before

N/A

After

21+

03

Coverage

Before

None

After

100% nationwide

04

Export format

Before

N/A

After

Per-state + 839MB master Excel

Delivery Scope

What was included in the system delivery.

Selenium-based VRBO extraction framework

State, city, and sub-area traversal logic

MongoDB URL collection and detail extraction queue

Per-state Excel exports

Consolidated master property dataset

Controls

Checks built in to keep the workflow reliable.

Proxy rotation and controlled throttling to reduce bot-detection risk

URL collection is stored before batch detail extraction

Area traversal bypasses single-search listing caps

Per-state segmentation keeps large exports manageable

Detail extraction captures nested property data consistently

Tools & Stack

Tools used to build, connect, and deliver this system

PPython
SSelenium
RSRequests-based session handling
Proxy Rotation
MMultithreading
MMongoDB
JPJSON Parsing
CAPTCHA Handling
EEExcel Export
DPDynamic Page Rendering Extraction

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