Why proxies are mandatory for serious scraping
Choosing the right proxy type
There are four common types, trading off cost, speed, and how easy they are to detect:
- Datacenter proxies ($0.50–$2/GB) are cheapest and fastest, but easiest to spot — their IPs belong to cloud providers like AWS, OVH, and DigitalOcean, and anti-bot vendors have those network ranges (ASNs — the ID number that groups a provider's IPs) memorized. Fine for unprotected sites and APIs that don't care.
- Residential proxies ($3–$15/GB) route through real home internet connections. Slower and pricier, but they carry the trust of an ordinary consumer. Use them on sites that block datacenter IPs.
- Mobile proxies (4G/5G, $10–$50/GB) are the most expensive and hardest to block. Mobile carriers route thousands of users behind one shared IP (NAT — many devices sharing a single public address), so blocking that IP would also block real customers.
- ISP proxies give datacenter speed with residential-style IPs — handy for high-throughput work against medium-difficulty sites.
How to integrate proxies into a scraper
Most providers give you a single gateway address with a username and password. In Python's requests library: proxies={'http': 'http://user:pass@gw:port', 'https': 'http://user:pass@gw:port'}. In Playwright: pass a proxy option to launch() or per context. To keep the same outbound IP for a whole session (a "sticky session"), you usually encode it in the username — user-session-abc123:pass holds you on one IP until the session ends. For production, wrap all this in a retry layer that detects blocks, retires bad IPs, and reports which IPs succeed against which targets. Without that visibility, you're paying for a pool you can't tune.
