AI-Powered Scraping
AI-Powered Scraping
We don’t just scrape HTML—we train models to understand website structure evolution. Our AI-powered extraction adapts to DOM changes automatically, using computer vision and NLP to locate data even when class names and IDs shift. Traditional scrapers break when sites redesign; ours learn and adapt.
Technical Architecture
Our ML pipeline combines Scrapy for baseline crawling with PyTorch models trained on visual DOM representations. We extract DOM snapshots and feed them through a CNN that learns to recognize product cards, pricing blocks, and content containers by visual features—not fragile selectors. For Dynamic Rendering scenarios, we run Playwright with stealth plugins to capture fully rendered pages, then apply DOM Mutation Observer patterns to track content changes. The model continuously retrains as new page variants appear, achieving 95%+ adaptation accuracy within 24 hours of site changes.
Data Quality & Validation
AI extraction isn’t perfect—we compensate with ensemble validation. Primary ML predictions get cross-checked against heuristic rules (price formats, phone patterns). When confidence scores drop below thresholds, records route to human review. We use Named Entity Recognition to extract structured fields from unstructured text, and Data Normalization to standardize formats across heterogeneous sources. Deduplication uses both URL canonicalization and fuzzy text matching to catch near-duplicates.
Anti-Bot Strategy
Sites using User Behavior Analytics to detect bot patterns face our stealth-enabled browsers with randomized interaction timing. We inject micro-delays into mouse movements, vary scroll speeds, and implement human-like navigation flows. Stealth Plugins handle Browser Fingerprinting spoofing, while our residential proxy network provides diverse IP contexts. For Canvas API Detection , we render through hardware-accelerated browsers that produce realistic canvas fingerprints.
Compliance & Ethical Standards
Our AI models are trained exclusively on publicly accessible data. We maintain audit trails showing source URLs and extraction timestamps for every record. Data Sanitization pipelines strip PII before model training, ensuring no personal data influences future predictions. GDPR and DPDP Act 2023 compliance includes data retention limits and automated deletion workflows. We refuse extraction requests targeting private endpoints, login-gated content without authorization, or any data that would facilitate discrimination.