The Los Angeles market changes fast: Bel Air real estate gets repriced in days, Instagram fashion trends go mainstream in weeks, and Silicon Beach startups release new features faster than you can track. Companies that make decisions based on current data rather than intuition win the competition.
We develop scrapers that automatically collect the data you need from websites, platforms and public sources — structure it and deliver it in a convenient format. You see the market in real time without manual monitoring.
We determine what data you need, from which sources it needs to be collected and at what frequency, assessing technical capabilities and limitations.
We write a reliable scraper with error handling, proxy rotation, protection bypass and correct processing of dynamic content.
We configure the data storage structure in a database or export to a convenient format: Excel, CSV, JSON, Google Sheets or your CRM.
We configure scheduled regular runs, performance monitoring and alerts when the source structure changes.
Brand mention monitoring, content ratings and competitor activity on streaming platforms.
Tracking competitor prices, trends on Pinterest and Instagram and new collections on the market.
Collecting competitor data, analyzing Product Hunt reviews and monitoring job market vacancies.
Collecting data on charts, streams and artist activity on platforms.
Monitoring sale and rental listings in Bel Air, Beverly Hills, Malibu and other LA neighborhoods.
Monitoring competitor prices, product availability and marketplace trends.
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reliably collects data on schedule without manual triggering.
in a database, Google Sheets, CSV or your CRM.
automatic notification on failures or source structure changes.
a description of the scraper's logic for your team and future maintenance.
We will review your tasks, select the right technology stack, and prepare a preliminary plan in 30 minutes.
Book a consultation