#reviews

A practical Best Buy reviews scraper in Python: extract SKU from a product URL, pull reviews from Best Buy’s UGC endpoint, normalize fields, paginate safely, and export JSON/CSV. Includes a target-page screenshot and an optional ProxiesAPI fetch layer.

Fetch Shopee product metadata + reviews via ProxiesAPI, paginate ratings safely, and export clean JSON/CSV for analysis. Includes robust URL parsing, retry/backoff, and a screenshot of a real product page.

Extract top companies in a Trustpilot category (name, website, rating, review count) across pages using stable DOM anchors, then export to CSV. Includes selector rationale and a proof screenshot.

A practical blueprint for scraping Amazon product pages and review listings: extract core fields, follow pagination, handle throttling, and detect blocks. Includes ProxiesAPI fetch code and real selectors.

Extract Play Store app metadata and reviews by crawling app detail pages and review endpoints safely. Includes a ProxiesAPI-ready network layer and a repeatable crawl plan.

Extract TripAdvisor hotel review text, ratings, dates, and reviewer metadata with a resilient Python scraper (pagination, retries, and a proxy-backed fetch layer via ProxiesAPI).

A production-grade G2 reviews scraper: discover review pages, paginate safely, extract rating + pros/cons + metadata, and export a clean dataset. Includes retries, backoff, and a JSONL exporter.

Build a practical TripAdvisor scraper in Python: discover restaurant listing URLs, extract name/rating/review count/address, and export clean CSV/JSON with ProxiesAPI in the fetch layer.

Extract Yelp search results and business-page review snippets with Python. Includes pagination, resilient selectors, retries, and a clean JSON/CSV export.

Pull ratings, dates, reviewer names, and review text into a clean CSV for reputation monitoring.