How to
SCRAPING FIELD NOTES
Hands-on guides for developers: scraper design, anti-bot handling, proxies, scaling, and real code you can copy and run. Learn fast and build production-ready tools.
Practical guides for building reliable data products with web scraping APIs, structured data and automation.
- 01 API implementation walkthroughs
- 02 Source-specific scraping patterns
- 03 Data product case studies
How to
Build a Zillow price-drop monitor with Python, SQLite and an API
Build a runnable Python price-drop monitor for Zillow search results with SQLite snapshots, nullable price normalization, missing-listing handling, retries, scheduling, and duplicate-safe alerts.
How to scrape Zillow listings into JSON with Python
Build a safe Python pipeline that requests Zillow listings, validates the response, paginates by the documented page parameter, deduplicates by ZPID, and exports clean JSON.
Build an Amazon scraper with Selenium and an isolated Chrome profile
Scraping Amazon doesn't have to be complicated. Learn how to build a simple yet effective scraper using your own Chrome profile. This approach bypasses most anti-bot mechanisms and handles CAPTCHAs gracefully. Includes full Python code with Selenium and Flask API.