IPProxy vs extracto.bot

IPProxy sells rotating residential, static ISP, and datacenter proxy access through a prepaid USD wallet on gw.ipproxy.co, with HTTP(S) and SOCKS5 on every product line. It advertises 32M+ residential IPs across 190+ countries, static ISP options with city-level targeting, and datacenter IPs with unlimited bandwidth. The site positions the stack for teams that need geo-specific egress for scraping, SEO checks, ads, pricing feeds, and account workflows.

Most vendors either push heavy subscriptions or burn prepaid credits on a monthly reset. IPProxy instead treats residential GB as a balance that never expires, which matters if your crawl volume jumps month to month. Static and datacenter SKUs are priced per IP lease window (7 to 360 days), so you can line up spend with a campaign instead of carrying idle subscription seats.

You get dashboard tooling alongside raw connectivity: a Proxy Advisor flow that tests a target URL, built-in latency and traffic tests, a multi-region egress checker, plus a proxy list validator. Docs and quick-start guides walk wallet funding, gateway ports, and renewals for each network type.

Pages cite a 99.2% measured success rate on sampled traffic, under 0.6s average response time on the network card, and 24/7 human support. Not every claim is third-party verified, but the numbers are published on the homepage as live product metrics rather than vague slogans.

Extracto.bot is a Chrome extension for web scraping that drops structured data straight into Google Sheets. You define the fields you want as sheet columns, open any site, and click extract to pull matching values without writing selectors or scripts. It targets people who already live in Sheets and want a lighter alternative to full scraper builders.

Most web scraping tools ask you to configure CSS selectors, APIs, or workflow nodes before the first row appears. Extracto.bot skips that setup and leans on AI to map page content to the columns you named in Sheets. The trade-off is less control over extraction logic, but faster starts for one-off prospect lists, price tables, or listing details.

Sales teams use it on LinkedIn, Facebook, and company sites for prospecting. Shoppers and home buyers collect product or listing fields from multiple stores into one sheet for side-by-side comparison. Billing runs through Stripe, and paid tiers add page quotas, multi-user seats, and email support.