Extracting Financial Data From Public Web Sources
Building reliable pipelines separates financial data extraction into solvable problems.
Saoirse Callahan
Section
Structured Extraction
8 stories in Structured Extraction.
Structured Extraction From PDFs and Documents via Web URLs
Sending a URL and schema to an API beats downloading and parsing PDFs separately.
Marcus Oduya
Handling Schema Drift in Long-Running Extraction Pipelines
Build detection and validation into pipelines to catch silent data drift early.
Priya Venkataraman
Extracting Product Data From E-Commerce Sites at Scale
Building production pipelines beats writing scrapers when prices and inventories shift hourly.
Devon Tran
Parsing Job Listings Into Structured Records for AI Workflows
Converting messy job listings into clean data that AI systems can actually use.
Devon Tran
LLM-Assisted Extraction vs Rule-Based Parsers
The trade-offs between LLMs and rules depend on layout variability, volume, latency.
Marcus Oduya
Data Normalization After Structured Web Extraction
Values extracted as structured data still need standardization to be useful.
Marcus Oduya
Schema-Driven Web Data Extraction for AI Applications
AI agents need typed, structured data to act reliably on live web content.
Marcus Oduya