Product listings, competitor prices, directories, public records — I extract web data with Python, Selenium and BeautifulSoup and deliver it as clean, structured files or live feeds into your database. Responsibly built: rate-limited, terms-aware and validated with the same rigour as my data engineering pipelines.
What I Offer
A single, structured extract from one or more websites — product catalogues, directories, listings, public records — delivered clean and deduplicated in the format you need.
Price monitoring, stock tracking, competitor watching — a scraper that runs daily or weekly in the cloud, detects changes and lands fresh data in your inbox, sheet or database automatically.
When a site offers an official API, that’s the better route — faster, stable and sanctioned. I build integrations that pull API data into your spreadsheets, database or warehouse on schedule.
The full pipeline in one project: data extracted from the web, cleaned and validated, stored properly, and visualised in a Power BI dashboard that updates itself.
Process
Send the website(s) and the fields you need. I’ll check feasibility and the site’s terms, then reply with a free sample extract and a fixed quote.
The scraper runs rate-limited and validated — structure checks catch layout changes and bad rows before they ever reach your data.
One-off jobs arrive as clean files with a data dictionary. Recurring feeds go live on a cloud schedule with monitoring, alerts and maintenance.
Why Me
Rate-limited requests, robots.txt and site terms checked upfront, and official APIs preferred where they exist — data collection that won’t put your business at risk.
Selenium for JavaScript-heavy sites, BeautifulSoup for speed, Pandas for structuring — the same stack I’ve used for production data collection across hundreds of sources.
Scraped data arrives deduplicated, typed and validated — because a data engineer built the pipeline, not just the crawler.
Scheduled scrapers ship with monitoring and failure alerts, and layout changes are fixed under maintenance — no silently stale data.
Questions