Oodles delivers enterprise-grade web scraping and browser automation solutions using Python and JavaScript to extract accurate, structured, and compliant data from modern websites and web applications. Our web scraping pipelines leverage Scrapy, Requests, BeautifulSoup, Playwright, Selenium, Puppeteer, rotating proxies, CAPTCHA solvers, and distributed crawling architectures to handle JavaScript rendering, pagination, rate limits, and anti-bot systems at scale.
Web scraping is the automated extraction of data from websites using Python- and JavaScript-based programs, HTTP clients, and headless browsers. It enables organizations to collect structured data such as prices, product catalogs, listings, reviews, articles, and metadata from public web sources.
Modern web scraping relies on tools like Scrapy, Requests, BeautifulSoup for static content and Playwright, Selenium, Puppeteer for JavaScript-rendered pages. Combined with proxy rotation, fingerprint control, and request throttling, these technologies enable reliable, scalable data collection for analytics, monitoring, and automation.
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.
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.
Advanced anti-bot handling using rotating proxies, CAPTCHA solvers, browser fingerprinting controls, and intelligent request throttling to ensure reliable data extraction at scale.
Track competitor pricing, product availability, and catalog changes across e-commerce platforms using scheduled Python-based scraping pipelines and proxy rotation.
Extract verified business leads, emails, phone numbers, and company data using Python scraping scripts, DOM parsing, and data-cleaning pipelines.
Aggregate reviews, articles, forums, and public content using large-scale crawlers built with Scrapy, Playwright, and scheduled scraping jobs.
Collect search engine rankings, keyword results, ads, and featured snippets using headless browsers, rotating proxies, and JavaScript-based scraping tools.
Requirements, data audit, feasibility
Prototype web scraper with sample pages and data sources
Production-ready web scraping pipeline built with Python/Node.js, delivering structured data in JSON, CSV, or database-ready formats.
Scaling, scheduling, monitoring, and automated data delivery pipelines using cron jobs, cloud runners, and queue-based scraping systems.