ScrapeRuntime is an event-driven, headless browser execution system that performs automated product discovery and structured data extraction across dynamic e-commerce surfaces. The system leverages programmatic browser orchestration, resilient scraping strategies, and multi-format persistence pipelines to convert unstructured retail pages into normalized, queryable datasets.
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Headless Browser Orchestration
Executes deterministic navigation workflows using Puppeteer to interact with JavaScript-heavy, client-rendered environments. -
Multi-Site Extraction Engine
Supports heterogeneous DOM structures (e.g., ASOS, Amazon) with adaptive selector strategies and fallback heuristics. -
Structured Data Normalization
Extracts and standardizes product metadata including URLs, titles, pricing, ratings, and media assets. -
Pagination Traversal
Implements iterative crawling across paginated result sets with stateful navigation tracking. -
Multi-Format Persistence Layer
Serializes extracted data into JSON, CSV, and SQLite-backed relational storage. -
CLI-Driven Execution Interface
Provides a composable command-line interface for search queries, batch jobs, and dataset retrieval. -
Fault-Tolerant Execution
Incorporates retry logic, timeout handling, and anti-bot mitigation strategies.
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Browser Controller
Manages headless Chromium instances, navigation lifecycles, and DOM interaction. -
Scraper Modules
Site-specific extraction logic with selector abstraction and resilience mechanisms. -
Traversal Engine
Handles pagination, query injection, and result aggregation.
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Normalization Pipeline
Transforms raw DOM nodes into structured product schemas. -
Persistence Engine
- JSON serialization for lightweight storage
- CSV export for analytics workflows
- SQLite integration for relational querying
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Command Line Interface (CLI)
Enables:- Parameterized search queries
- Site selection
- Pagination depth control
- Output format specification
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Interactive Session Mode
Maintains persistent execution context for iterative queries.