Scraping Service Development
When the data you need is not available through an API, web scraping is the answer. Anubiz Labs builds scraping services that extract structured data from websites reliably and at scale — handling JavaScript rendering, pagination, authentication, rate limiting, and anti-bot measures while delivering clean, structured data to your systems on your schedule.
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We implement, you ship. Async, documented, done in days.
Handling Modern Web Complexity
Modern websites are not simple HTML pages. They render content with JavaScript, load data asynchronously, use infinite scrolling, require authentication, and implement anti-bot measures that block naive scrapers. We build scraping infrastructure that handles all of these challenges — headless browsers for JavaScript-heavy sites, session management for authenticated content, and intelligent request patterns that avoid detection.
Our scrapers adapt to website changes automatically when possible and alert operators when manual adjustment is needed. CSS selectors, XPath expressions, and content-based extraction rules are combined to build robust parsers that survive minor layout changes without breaking.
For sites that require interaction — clicking buttons, filling forms, navigating pagination — we implement browser automation that mimics real user behavior, including realistic timing patterns and viewport management.
Scalable Extraction Architecture
Whether you need to scrape a hundred pages or a million, our architecture handles the volume. Distributed worker pools process pages in parallel across multiple IP addresses. Request scheduling respects rate limits to avoid overwhelming target servers or triggering blocks. Proxy rotation and browser fingerprint management maintain access over long-running extraction campaigns.
Priority queues ensure critical pages are scraped first when resources are constrained. Retry logic handles transient failures — network timeouts, temporary blocks, and server errors — without losing track of pages that still need processing.
Data Quality and Structuring
Raw scraped content is messy. We implement data cleaning, normalization, deduplication, and validation pipelines that transform raw HTML into clean, structured records. Prices are extracted as numbers with currency codes. Dates are parsed into consistent formats. Text is cleaned of HTML artifacts, whitespace inconsistencies, and encoding issues.
Schema validation ensures every extracted record contains the required fields in the expected formats. Records that fail validation are flagged for review rather than silently introducing bad data into your systems. Quality metrics track extraction accuracy over time, surfacing degradation before it affects downstream processes.
Output formats match your requirements — JSON, CSV, database records, API payloads, or whatever your consuming systems expect. Delivery happens on your schedule: real-time as pages are scraped, in batches on a schedule, or on-demand through an API.
Monitoring and Maintenance
Websites change. Layouts are redesigned, selectors break, new anti-bot measures are deployed, and content structures evolve. Our scraping services include monitoring that detects when extraction accuracy drops, when pages return unexpected content, or when access is blocked — alerting your team before data quality suffers.
Maintenance is an ongoing service, not a one-time delivery. When a target website changes, we update selectors, adjust extraction logic, and verify data quality — typically within hours of detecting the change. You get reliable, continuous data extraction without dedicating internal engineering resources to scraper maintenance.
Why Anubiz Labs
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Skip the research. Tell us what you need, and we'll scope it, implement it, and hand it back — fully documented and production-ready.