#price-scraping

A practical approach to monitoring flight prices: take a proof screenshot, extract prices from HTML snapshots, and run with retries + proxy rotation.

Extract product name, price, and availability from Home Depot listing pages (search + category) with pagination, resilient parsing, and an anti-block-friendly request layer.

Build a repeatable Costco price dataset from search → listings → product pages, with ProxiesAPI + retries.

A practical Shopify scraping playbook: use stable JSON endpoints first, fall back to HTML + JSON-LD, handle variants, and estimate inventory signals without brittle theme selectors. Includes Python examples + ProxiesAPI integration patterns.

Build a practical Walmart grocery price scraper: search for items, follow product links, extract price/size/availability, and export clean JSON. Includes ProxiesAPI integration, retries, and selector fallbacks.

Extract Target product-page data (title, price, availability) into clean JSON/CSV with resilient parsing, retries/timeouts, and a ProxiesAPI-ready fetch layer. Includes a screenshot of the page we scrape.

End-to-end Target product-page scraper that extracts title, price, and availability with robust parsing, retries, and CSV export. Includes ProxiesAPI-ready request patterns and a screenshot of the page we scrape.

Extract listing title, price, mileage, location, and dealer info from Cars.com search results + detail pages. Includes selector notes, pagination, and a polite crawl plan.

Practical Shopify scraping patterns: discover product JSON endpoints, paginate collections, extract variants + availability, and reduce blocks while staying ethical.

Extract hotel names, nightly prices, review scores, and basic availability fields from Booking.com search results using Python + BeautifulSoup, with ProxiesAPI for more reliable fetching.