Extract High-Quality Data at Scale with Web Scraping
Leverage scalable web scraping and browser automation built with Python and JavaScript to extract clean, structured data from websites and web applications—handling pagination, JavaScript rendering, CAPTCHAs, proxy rotation, and anti-bot protections.
What is Web Scraping?
Web scraping is the automated process of extracting data from websites using Python- and JavaScript-based scripts, web crawlers, and headless browsers such as Playwright, Selenium, and Puppeteer. It allows businesses to collect large volumes of structured data (prices, products, reviews, articles, listings, and more) from public web pages at scale.
From price monitoring and competitor analysis to lead generation, SEO research, and market intelligence, web scraping powers data-driven decision-making across industries — enabling businesses to stay competitive with real-time, high-quality web data.
Core Web Scraping Capabilities
Custom Web Crawlers & Spiders
Custom-built crawlers and spiders using Python (Scrapy, Requests, BeautifulSoup) and Node.js for large-scale data extraction, supporting pagination, dynamic URLs, rate limiting, and structured data parsing.
Headless Browser Automation
Automated data extraction from JavaScript-heavy websites using headless browser automation with Playwright, Selenium, and Puppeteer to render dynamic content and simulate real user interactions.
Anti-Bot & CAPTCHA Handling
Advanced anti-bot handling using rotating proxies, CAPTCHA solvers, browser fingerprinting controls, and intelligent request throttling to ensure reliable data extraction at scale.
Industry-Specific Web Scraping Use Cases
Price Monitoring & Competitor Analysis
Track competitor pricing, product availability, and catalog changes across e-commerce platforms using scheduled Python-based scraping pipelines and proxy rotation.
Lead Generation & Contact Extraction
Extract verified business leads, emails, phone numbers, and company data using Python scraping scripts, DOM parsing, and data-cleaning pipelines.
Market Research & Data Aggregation
Aggregate reviews, articles, forums, and public content using large-scale crawlers built with Scrapy, Playwright, and scheduled scraping jobs.
SEO & SERP Data Extraction
Collect search engine rankings, keyword results, ads, and featured snippets using headless browsers, rotating proxies, and JavaScript-based scraping tools.
Our Web Scraping Delivery Methodology
Discovery
Requirements, data audit, feasibility
PoC
Prototype web scraper with sample pages and data sources
MVP
Production-ready web scraping pipeline built with Python/Node.js, delivering structured data in JSON, CSV, or database-ready formats.
Scale
Scaling, scheduling, monitoring, and automated data delivery pipelines using cron jobs, cloud runners, and queue-based scraping systems.
Ready to build Web Scraping solutions? Let's talk
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