Is data parsing legal?

Yes, parsing publicly available data is legal. We follow the robots.txt of sources, do not overload servers, and do not violate platform terms of service.

How do you handle anti-bot protection on websites?

We use legal methods: proxy rotation, browser behavior simulation, request delay compliance. The goal is to appear as a regular user, not a bot.

What happens when a source changes its website structure?

We configure monitoring and receive an alert when the structure changes. As part of support we promptly update the parser and resume data collection.

Data Parsing in Miami

We develop parsers for data collection and processing for Miami companies: real estate market monitoring, crypto data, competitive intelligence for LatAm B2B, and tourism offer aggregators.

In Miami, data is money: a developer needs up-to-date competitor price monitoring on Zillow, a trader needs data aggregation from dozens of crypto exchanges, a LatAm B2B company needs monitoring of new partnership opportunities across several markets simultaneously.

We develop reliable parsers that collect data automatically, bypass website protection using legal methods, and deliver structured information in a convenient format — directly into your system.

How we implement parsing

Source and task analysis
we study what data is needed, where to get it, and how it will be used. We assess the technical complexity of sources and blocking risks.
Parser development
we write a reliable scraper with anti-bot protection bypass: proxy rotation, browser simulation, captcha handling. It runs stably over long periods.
Processing and structuring
we clean, normalize, and store collected data in the required format: database, Google Sheets, CSV, JSON, or direct integration with your system.
Automation and monitoring
we configure scheduled runs, uptime monitoring, and alerts when a source's structure changes.

Luxury real estate
competitor price and listing monitoring on Zillow, Realtor, LoopNet.
Fintech and crypto
data aggregation from exchanges, token monitoring, and market metrics.
Tourism and hospitality
offer aggregation, competitor price monitoring during high season.
LatAm B2B companies
monitoring partners, tenders, and market opportunities across multiple countries.
Fashion and beauty
competitor price monitoring and trend tracking in Latin American and American markets.
Startups
data collection for AI model training and aggregator population.