Data Parsing & Scraping in the USA


The USA is rich in open data: SEC EDGAR — a free database of all public companies (10-K, 10-Q filings), US Census Bureau — demographic and economic statistics, data.gov — thousands of federal datasets. At the same time, scraping in the US is regulated by the Computer Fraud and Abuse Act (CFAA) and Terms of Service court precedents such as hiQ v. LinkedIn.
We collect data from American sources: SEC EDGAR API for public companies, US Census Bureau for market analytics, official government APIs (data.gov), and price monitoring for e-commerce competition. CCPA-compliant processing of US personal data.
The SEC (Securities and Exchange Commission) provides a free API to the database of all US public companies: annual reports (10-K), quarterly reports (10-Q), ownership filings (13-F). The official source for financial analytics.
The Computer Fraud and Abuse Act and the hiQ v. LinkedIn precedent define the limits of web scraping in the US. Publicly available data without authorization — generally permissible. Robots.txt violations — risk of a lawsuit.
Personal data of California residents — strict requirements. Corporate data and aggregated statistics — generally unrestricted under CCPA.
The US government provides extensive datasets: health statistics, labor market, economic indicators, geographic data — through official APIs.
FDA drug database, CMS Medicare data, NIH clinical trials — open US medical data.
SEC EDGAR for public companies, Federal Reserve economic data, FDIC banking statistics.
Zillow Research data, US Census housing statistics, county recorder open data.
Amazon pricing intelligence, Google Shopping data, Walmart marketplace monitoring.
BLS (Bureau of Labor Statistics) data, Indeed API, LinkedIn — labor market analytics.
US Census demographic data, SBA business statistics, FTC enforcement actions.
SEC EDGAR
data.gov
US Census
CCPA
Financial data for public US companies.
Official federal US datasets.
Price analysis of US marketplaces.
Working with US data per California privacy law.
We will review your tasks, select the right technology stack, and prepare a preliminary plan in 30 minutes.
Book a consultationWe develop parsers and scrapers for Atlanta companies. Automatic data collection from public sources, competitor monitoring, content aggregation — fast and reliable.
We develop scrapers and data collection tools for Austin companies. In the fast-moving Silicon Hills environment, data is a competitive advantage — and you need to get it faster than your competitors.
We build scrapers and data collection tools for Boston companies in biotech, fintech, and research organisations — structured data for analysis and automation.
We build data collection and scraping systems for Chicago companies — from competitor monitoring for retail to market data aggregation for the financial sector. Automated data collection that runs without your involvement.
We develop parsers and data collection systems for Dallas companies — competitor monitoring, market intelligence aggregation, and automated data collection for analytics and operations.
We develop parsers and data collection systems for Denver companies. Competitor monitoring, market data gathering, and automation of routine information collection.
We build data collection and processing solutions for Houston businesses — energy price monitoring, oil and gas tender data collection, real estate market monitoring, and competitive intelligence.
We develop scrapers and solutions for automated data collection for Los Angeles companies — competitor monitoring, real estate market data collection, price and content analytics. Structured data for business decision-making.
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.
We develop parsers and data collection tools for businesses in New York — competitor monitoring, market data collection, and information gathering automation for analytics.
We develop parsing and data collection systems for Phoenix companies — automatically aggregating information from real estate markets, industrial sources and financial platforms for analytics and business decisions.
We develop parsers and data collection systems for San Francisco companies — competitive analysis, market monitoring, data collection for AI models and business analytics.
We develop parsers and data collection systems for Seattle companies — price monitoring, market data collection, content aggregation. Reliable solutions for working with Amazon, LinkedIn, and any source.