Put Your Scrapers on Autopilot

Automate your web scraper setup and maintenance. Scale instantly and close blind spots.

The challenge

A top hedge fund maintained 1000+ web scrapers across teams and pods, with multiple engineers dedicated full-time creating and maintaining them. Their web data strategy was limited by engineering bandwidth, missing critical signals while debugging broken scrapers.

How Kadoa solves it

Migrated 300+ scrapers to Kadoa in 6 weeks
Self-healing technology eliminated most maintenance
Reliable data change tracking across scraper runs
Direct integration with existing data warehouse
Engineering time saved
120 hrs/week
Redirected to data science work
Data coverage
5x more sources
With same team size
Total cost of ownership
40% lower
vs. in-house development
Kadoa
Scrape dataMonitor
Sources

SEC EDGAR

Reuters & Bloomberg

Company IR Pages

Processing

Change Detection

AI Extraction

Validation

Delivery

Snowflake

REST API

Extracted data
SourceCompanyData PointValueChangeUpdated
SEC EDGARAAPLRevenue (Q4 2025)$124.3B+4.2%2 min ago
Company IRMSFTCloud ARR$168.5B+22.1%15 min ago
ReutersTSLADeliveries (Q4)495,570-6.3%1 hr ago
SEC EDGARNVDAData Center Rev$39.2B+93.4%3 hrs ago
Company IRJPMNet Interest Income$23.4B+11.2%5 hrs ago
"Kadoa handles all of our scraping so our data scientists can focus on strategic work, not maintaining scrapers."
Head of Data, Top Hedge Fund

Power your decisions with web data.