Case Study: Legal Data at Scale
How APISCRAPY powered real-estate intelligence for real-time property insight
A leading PropTech platform partnered with APISCRAPY to collect, clean, and deliver property, listing, and transactions data from 10,000+ listing sites and public records. The goal: enable accurate market analytics, price prediction, competitor tracking, and investment decision-making across multiple cities and countries.
Summary
Business impact at a glance
80%
Faster research cycles
Search-to-insight reduced from days to hours
99.7%
Faster research cycles
Search-to-insight reduced from days to hours
3,200+
Faster research cycles
Search-to-insight reduced from days to hours
80%
Search-to-insight reduced from days to hours
Get the Edge with Real-Time Florida Insurance Litigation Data
Ready to power up your litigation analytics and claim management strategy with high-quality, structured Florida insurance litigation data?
Wait! Don't Miss Out
Major listing portals and local sources across target cities now included.
Day(s)
:
Hour(s)
:
Minute(s)
:
Second(s)
About the client
The client provides actionable real estate insights to investors, brokers, and developers. Their clients include investment funds, real-estate agents, urban planners, and real-estate marketplaces. They require clean, up-to-date data on listings, sales, rental rates, property characteristics, amenities, neighbourhoods, agents, etc., across multiple markets (cities, states, countries).
Target data:
-
Property listing data: price, property type, photos, amenities
-
Transaction / public record data: sales history, ownership changes
-
Agents, brokers, neighborhoods: agency details, rating, geography
-
Market data: average rents, trends, comparative data between regions
-
Coverage: multiple countries/cities; include city, suburban, and rural markets
Delivery requirements:
-
Daily or near real-time updates for high pace markets
-
Bulk snapshots + delta updates
-
Searchable and queryable via API
-
Normalized formats (unified schema across markets)
Pain points
Customer Pain Points
Fragmented and inconsistent sources
Different listing platforms and public record offices use different formats, labels, and update frequencies. Some data is only available via PDFs, some via HTML, some requires login or CAPTCHAs.
Anti-scraping measures / bot protection
Some sites block frequent scraping, have rate limits, region-locks, etc.
Data normalization issues
Field names differ (“sqft”, “square feet”, “area”, “built-up”, etc.), missing or inconsistent formatting (dates, currencies, area units).
What changed after going live
Time-to-insight reduced by ~90%
What used to take a week (for multiple markets) now can be generated in hours.
95%+ Data Coverage
Major listing portals and local sources across target cities now included.
Near Real-Time Updates
Listings updated in real-time with daily deltas; changes captured within hours.
Better Market Comparisons
Operational Savings
Delivery workflow & engagement model
01
Delivery workflow & engagement model
Scope sources, fields, refresh cadence, and constraints.
02
Delivery workflow & engagement model
Scope sources, fields, refresh cadence, and constraints.
03
Delivery workflow & engagement model
Scope sources, fields, refresh cadence, and constraints.
04
Delivery workflow & engagement model
Scope sources, fields, refresh cadence, and constraints.
Our approach
A resilient pipeline built for Real Estate Data
-
Source adapters: HTML + JSON + PDF parsers; headless browsers for sites with JS; proxy pools for geo-diverse access.
-
Reliability layer: Retries, fallback sources, robust scraping infrastructure.
-
Normalization: Unified schema for listings, transactions, agents; automatic unit conversions; mapping different locale date formats; currency normalization.
-
Quality controls: Deduplication, sampling with human QA; alerts when source freshness drops.
-
Delivery modes:
• REST API for property & transaction data
• Bulk data exports
• Webhooks for real-time notifications of critical events (e.g. price drops)
Trust
Quality controls & compliance by design
Quality Controls
Train AI models to predict litigation risk on a per-claim basis, allowing for a more efficient and targeted claims management process.
Compliance
Regional residency options (EU/US)
Value
Quick ROI estimator
What kind of content do you want to scrape?
-
Full web pages
Crawl websites using the full Chrome browser and extract structured data from them. Works with most modern JavaScript-enabled websites. -
Simple HTML pages
Crawl websites using plain HTTP requests and extract structured data from them. This is more efficient, but doesn't work on JavaScript-heavy websites. -
Extract social media posts, profiles, places, hashtags, photos, and comments. -
Google Maps places
Extract data from Google Places beyond what the official Google Maps API provides. Get reviews, photos, popular times, and more.
Expected number of pages per month
7500
/
pages
Estimated monthly cost
$20 ** Final price might slightly vary.
Frequently asked questions
What is the Florida Insurance Litigation Dataset?
This dataset is a comprehensive, structured compilation of court cases, rulings, and legal trends from Florida’s insurance litigation market, designed for legal analytics, competitive analysis, and strategic planning.
What is the Florida Insurance Litigation Dataset?
This dataset is a comprehensive, structured compilation of court cases, rulings, and legal trends from Florida’s insurance litigation market, designed for legal analytics, competitive analysis, and strategic planning.
How is this data different from publicly available court records?
Our dataset cleans, structures, and enriches raw court data. We normalize case types, identify key issues (e.g., bad faith litigation, hurricane claims), and link parties to law firms, providing an easily usable and searchable format.
How is this data different from publicly available court records?
Our dataset cleans, structures, and enriches raw court data. We normalize case types, identify key issues (e.g., bad faith litigation, hurricane claims), and link parties to law firms, providing an easily usable and searchable format.
Related resources
How APISCRAPY powered real-estate intelligence for real-time property insight
A leading PropTech platform partnered with APISCRAPY to collect, clean, and deliver property, listing, and transactions data from 10,000+ listing sites and public records.
Ready to see your legal data, clean and on time?
Why APISCRAPY for legal data?
– Normalization aligned to legal ontologies
– Compliance-first collection and delivery
– Transparent SLAs and predictable pricing