I use Scrapfly mostly to scrape websites, especially for data and analytics, and it works excellently for Etsy. I appreciate that it gets around the bot protection and their domed systems very easily, and so far, I haven't had any failed requests. It's quite efficient and straightforward to use. The screenshot API is very good for gathering evidence, and the monitoring is stable. The service is very efficient, quite affordable, and economic. It's also the safest and most reliable one I've used yet. No requests are wasted, and it's efficient overall. The initial setup was absolutely easy, just copy the API and paste, with no hassle at all.

I use Scrapfly for a project that needs to scrape a site protected by Akamai and DataDome, which is not an easy target. Their anti scraping protection plus JS rendering got me past it when a few other approaches did not. Switching from the datacenter proxy pool to residential made a real difference too, I was getting hit with a lot of 429s on datacenter, and residential works great, almost no failures since I switched.

The anti-bot bypass is the whole reason I use it. I pull competitor offers from a large retail marketplace whose product pages sit behind Kasada — plain server requests just get rejected, and the cheaper scraping APIs I tested barely get through. With Scrapfly it was a single parameter (asp=true, plus render_js=true for their client-rendered pages) and I had clean HTML back on the first attempt. Integration-wise there's almost nothing to it: one GET request that returns the finished page. No headless browsers to babysit, no proxy pool, no infrastructure of my own. I wired it into my Python backend in an afternoon and it's been running unattended on a small server since. On cost, pay-per-success makes the maths honest — failed attempts don't bill, so the monthly spend actually matches the data I got. The unexpected upside was what it enabled: because I can now read the full offer list (every seller, price and shipping cost), I built an automatic repricer on top. It found listings where I was priced far below the cheapest competitor and could raise prices while still winning the buy box. That paid for the subscription many times over in the first week.