Proxies for market research, data at scale across every geo

Why market research needs proxies

Good market research depends on data that is both complete and representative. The moment you collect at scale, the sources you depend on push back. Marketplaces, search engines, review platforms and competitor sites all rate-limit by IP, and many serve a different page, or a CAPTCHA, once an address looks automated. Worse, what they show is often tailored to where the visitor appears to be, so a single collection point quietly biases your dataset toward one region.

Proxies solve both problems at once. A rotating proxy spreads your requests across thousands of IPs so each one looks like a normal visitor, keeping you under the rate limits that would otherwise truncate your sample. And by targeting specific countries and cities, you collect each source as a real local user sees it, which is what turns raw scraping into reliable, comparable market data. You never build rotation logic or maintain IP lists, because the gateway handles all of it.

For the hardest sources, IP type matters as much as rotation. Sites that block obvious server ranges still let through ordinary home and carrier connections, which is why residential and mobile IPs reach data that datacenter ranges cannot. Because all four types live in one plan, you can start cheap on datacenter and step up to residential only on the sources that need it.

Match the proxy type to the source

There is no single best proxy for research. The right choice depends on how aggressively the source defends itself:

• Residential for marketplaces, search results, review sites and competitor pages that filter server ranges or fingerprint sessions.
• Mobile for mobile-first platforms and apps where carrier-grade NAT makes a single IP look like many real users.
• Datacenter for open APIs, public datasets and lightly defended sites where speed and cost per record matter most.
• IPv6 for huge, low-cost address space on sources that accept IPv6 traffic.

Mixing types is normal. A typical research pipeline pulls the bulk of records over fast datacenter IPs and routes only the defended sources through residential or mobile IPs, keeping your average cost low while still capturing the full dataset.

Rotating versus sticky for research collectors

Most research collection wants a new IP per request, because each record is independent and maximum IP spread keeps your sample complete. But some flows need the same IP for several steps: logging into a panel, paginating behind a session, or filtering a marketplace before reading results. For those, a sticky session holds one IP for a set duration so the source keeps treating you as the same visitor. You get both modes on the same account, so one collector can rotate for bulk listings and stay sticky for the steps that need continuity.