Web Scraping & Data Extraction

I build reliable web scrapers and data-extraction pipelines that turn websites into clean, structured data — delivered as CSV, Excel, JSON, Google Sheets, or straight into your database or API. Using Python (Scrapy, BeautifulSoup, Requests) and headless browsers (Playwright, Puppeteer, Selenium) for JavaScript-heavy sites, I handle pagination, infinite scroll, logins, and dynamic content that simple tools cannot.

Common UAE use cases: real estate listings (Bayut, Property Finder) for market analysis, e-commerce price and competitor monitoring (Noon, Amazon.ae), business directory and lead lists, classifieds (Dubizzle), job postings, and aggregating data across multiple sources. Scrapers are built with rotating proxies, rate limiting, retry/backoff logic, and anti-bot handling to stay reliable, and I deduplicate, normalise, and validate the output so you get analysis-ready data — not noise. I can schedule recurring scrapes (daily/weekly) via cron, Celery, or cloud functions and push results automatically to your inbox, Sheet, or dashboard.

I scrape responsibly — respecting robots.txt and rate limits, focusing on public data, and advising on legal/ethical use. You get the full source code and documentation so the pipeline is yours to run.

How it works

1. 1
   Define the data

   We agree on target sites, the fields you need and the delivery format.

2. 2
   Build the scraper

   I develop and test the extractor, handling pagination, dynamic content and anti-bot measures.

3. 3
   Clean & validate

   Output is deduplicated, normalised and validated into analysis-ready data.

4. 4
   Deliver or schedule

   You get a one-off dataset, or a scheduled pipeline pushing data automatically.