Extract Structured Data From Anywhere With AI
We build intelligent data extraction pipelines that scrape websites, parse complex PDFs, and convert unstructured data from any source into clean, structured datasets — at 10,000+ pages per hour with 99% field-level accuracy.
What We Build for AI Data Extraction
Six core capabilities that turn any unstructured data source into clean, structured, analysis-ready datasets.
Intelligent Web Scraping
AI-powered scrapers that navigate dynamic JavaScript-rendered pages, handle authentication flows, rotate proxies, and adapt to site structure changes — extracting structured data reliably at scale from thousands of URLs.
PDF & Document Extraction
Extract structured data from PDFs, scanned documents, and images using OCR and GPT-4 Vision — including complex layouts like tables, forms, financial statements, contracts, and mixed text-image documents.
Structured Data Pipelines
End-to-end data pipelines that extract, transform, validate, and load data into your destination systems — databases, data warehouses, APIs, or spreadsheets — with schema enforcement and data quality checks at every step.
Real-Time Data Feeds
Event-driven extraction pipelines that monitor source systems for new or changed data and push updates to downstream systems in near real-time — for pricing feeds, news monitoring, competitive intelligence, and market data.
Data Cleaning & Normalization
AI-powered data cleaning pipelines that deduplicate records, normalize formats (dates, currencies, addresses, phone numbers), resolve entity names, and flag anomalies — delivering consistent, analysis-ready datasets.
API Data Delivery
Extracted data delivered via REST API, webhook, or direct database write — making your extraction pipeline a live data service that downstream applications can query on demand or subscribe to for real-time updates.
How We Build Your Data Extraction Pipeline
From source analysis to live production pipeline with validated accuracy.
Source Analysis
We analyze your target data sources — website structures, document formats, API schemas, or database layouts — and define the exact fields to extract, the expected data types, and the validation rules that define a quality extraction. We identify anti-scraping measures, rate limits, and structural variability upfront.
Extraction Architecture
We design the extraction architecture: scraper technology selection (Playwright for JS-heavy sites, lightweight HTTP for static pages), chunking and batching strategy, error recovery and retry logic, proxy rotation configuration, and the data schema for structured output.
Pipeline Build
We build the extraction pipeline with AI-assisted field identification using GPT-4 Vision for complex layouts, LangChain for document parsing, and Playwright/Puppeteer for web scraping. Data flows through validation and normalization layers before reaching the output destination.
Validation
The pipeline is tested against a representative sample of real source data covering edge cases — irregular layouts, missing fields, currency formats, date variations, scanned vs native PDFs. We measure field-level extraction accuracy and iterate until all critical fields hit target accuracy.
Delivery & Monitoring
Production deployment with real-time monitoring: extraction success rate per source, field-level accuracy tracking, data freshness alerts, and automatic notifications on source structure changes that break extraction. Pipelines self-heal from transient errors and alert on persistent failures.
Technology Stack
Data Extraction Across Industries
We build extraction pipelines calibrated to your industry's specific data sources, formats, and quality requirements.
Insurance
Claims data extraction from PDFs, policy document parsing, third-party data ingestion
Finance
Financial statement extraction, market data feeds, regulatory filing parsing, SEC document processing
Legal
Contract data extraction, court filing scraping, regulatory database monitoring, due diligence data collection
Real Estate
Property listing aggregation, MLS data scraping, market price tracking, permit data extraction
E-commerce
Competitor pricing feeds, product catalog aggregation, review scraping, inventory monitoring
Healthcare
Clinical trial data extraction, drug database feeds, provider directory scraping, formulary parsing
Why Teams Choose Infonza for Data Extraction
AI-Augmented Extraction
We use GPT-4 Vision and Claude to extract data from documents that would defeat traditional pattern-matching — complex table layouts, scanned forms, mixed-language documents, and irregular report formats.
Extraction Accuracy Guarantees
We measure and report field-level extraction accuracy before and during production. Critical fields are validated against known ground truth samples. We don't ship pipelines that don't hit accuracy targets.
Anti-Detection Engineering
Our web scraping infrastructure includes residential proxy rotation, browser fingerprint randomization, human-like request timing, and CAPTCHA handling — built to remain operational against modern bot detection.
Schema Evolution Management
Websites change and documents evolve. We build pipelines with schema change detection that alerts when a source structure breaks the extraction, and we maintain the pipeline to adapt to source changes.
Compliance-Aware Scraping
We review terms of service, implement robots.txt compliance, enforce rate limiting, and advise on legal data use. We build extraction pipelines that respect the data sources they depend on.
Ready to build your data extraction pipeline?
Get a free source analysis from our data engineers. We'll assess your target data sources and scope a pipeline with accuracy and throughput estimates.
Related Services
Frequently Asked Questions
Honest answers about AI data extraction, web scraping, and structured data pipelines.
Build Your Data Extraction Pipeline
Schedule a 30-minute session with our data engineers. We'll analyze your target sources, assess extraction feasibility, and give you a pipeline scope with accuracy and throughput projections.