Products and analytics often depend on web data, partner feeds, telemetry, and operational exports you do not own yet. We build data acquisition and web scraping pipelines that stay maintainable when sites change—respectful of terms and robots rules, with quality checks before data reaches your warehouse or product.
Fragile scrapers, blocked IPs, schema drift, missing monitoring, and scraped data that never lands cleanly in your database or data lake. We have delivered web data extraction and high-volume ingestion for mobility telemetry, market and operations datasets, and mixed sources feeding analytics and machine learning.
Clarify legal and contractual boundaries first. Then: robust extraction, change detection, scheduling, retries, data quality checks, and runbooks so your team is not hostage to one Python script. We integrate scraping and acquisition with the rest of your data engineering stack—not one-off CSV dumps.
Data acquisition also means REST APIs, file drops, streaming telemetry, and enrichment pipelines. We help you choose scraping vs API per source and plan for scale before you need terabytes per day.