If data exists publicly on the web, we can extract it automatically. We build custom web scrapers for D2C brands — competitor pricing monitors, product catalogue extractors, review aggregators and lead data pipelines — using Apify, Python and headless browser automation.
Scraping publicly available information is generally legal. Courts have upheld that public web data is not copyright-protected for factual information. GDPR applies when scraping personal data of EU individuals. Terms of service restrictions vary by site but are contractual, not statutory. We advise on legal parameters per use case.
Primary tools: Python with Playwright or Selenium for JavaScript-heavy sites, Scrapy for structured site crawling, Apify platform for managed cloud scraping, Beautiful Soup for simple HTML extraction and Puppeteer for browser automation.
Many modern sites render content via JavaScript (React, Vue) rather than static HTML. We use headless browsers (Playwright, Puppeteer) that execute JavaScript and render the full page before extraction — handling dynamic content, lazy-loaded data and single-page applications.
Scraping frequency depends on the target site's tolerance and your data freshness requirements. Competitor pricing scrapers typically run daily. Social monitoring scrapers run hourly. High-frequency scraping (every few minutes) requires careful rate limiting to avoid detection or blocking.
We deliver scraped data to your preferred destination: Snowflake warehouse, Google Sheets, Airtable, PostgreSQL database, S3 bucket or via webhook to your existing systems — on whatever schedule your use case requires.
Book a free web scraping consultation and design your data extraction pipeline.