Data Parsing in Boston
We build scrapers and data collection tools for Boston companies in biotech, fintech, and research organisations — structured data for analysis and automation.
Boston research and financial companies work with vast amounts of public data: scientific publications, clinical databases, financial reports, market data, patent registries. Collecting this manually means spending days on what a parser does in hours. The only question is reliability and data structure at the output.
We build parsers and data collection pipelines for specific tasks: monitoring PubMed and ClinicalTrials publications for biotech, collecting financial data from SEC EDGAR for fintech, scraping competitive prices and assortments for retail, aggregating job listings or profiles for HR. Data arrives in structured form — CSV, JSON, database — ready for analysis or loading into your systems.
How we work for Boston
Clarify data sources, output format, and update frequency for your task
Analyse the structure of target sites and APIs, design the parser architecture
Build and test the parser with data validation and exception handling
Run on a schedule or on demand, provide support and adaptation when sources change
Biotech and pharmaceutical research companies
Fintech and investment analytics services
Research universities and laboratories
Medical organisations with data monitoring
Legal firms with case law monitoring
Technology companies with competitive analysis
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