Search results look simple when viewed from a browser. Type something into Google, press enter and there they are. Ten blue links, a few ads, maybe a map pack or a shopping carousel.
Behind the scenes, though, collecting those results at scale is a completely different story.
Anyone working with SEO data, market research or competitor monitoring has probably discovered this the hard way. Search engines don’t necessarily treat hundreds or thousands of automated queries like ordinary browsing. Location, IP reputation and request patterns can all affect what comes back.
That’s why choosing the right infrastructure matters when building a SERP scraper.
And in 2026, residential proxies have become particularly interesting for this kind of work.
Search results aren’t the same everywhere
One of the easiest things to forget about search engines is that results can be highly dependent on where the search appears to come from.
Someone searching for “best dentist” in London isn’t necessarily going to see the same results as someone making the exact same search from Manchester. Language, location and other contextual signals can influence what appears.
For SEO professionals, that’s not a minor detail. It’s the data.
A SERP scraper needs to collect results that actually represent the market being researched. Otherwise, a beautifully organised spreadsheet can still contain the wrong information.
Residential IPs are useful here because they can make a request appear to originate from a normal ISP connection in a particular location rather than from an obvious hosting environment.
Why residential IPs fit SERP work
There are plenty of proxy types available, so why focus on residential?
The answer is fairly straightforward: search engines have strong incentives to identify unusual automated traffic.
Datacenter proxies can be extremely fast and are perfectly suitable for many lower-security tasks. But when the target has aggressive detection, residential addresses can offer a more appropriate starting point.
GoProxies specifically positions its residential network for SERP scraping and says its residential IPs are rotated automatically for SERP requests. Its SERP product also supports location-focused collection, with current published figures showing millions of IPs across several major markets.
That combination makes sense for SEO data collection.
Instead of hammering a search engine from one IP and hoping nothing happens, requests can be distributed across residential addresses.
No magic tricks involved. Just better infrastructure.
What a SERP scraping API changes
A traditional scraping setup can become surprisingly complicated once proxy management gets involved.
There’s the scraper itself, IP rotation, location targeting, failed requests and all the little things that seem harmless until you’re staring at an error log at 2 a.m.
A SERP scraping API can remove some of that workload.
The idea is simple: send the search request to the API and let the service deal with much of the infrastructure behind the scenes. GoProxies currently offers a SERP scraping API designed to collect search results across regions, devices and languages.
For smaller SEO teams, this can be appealing because they don’t necessarily need to build an entire proxy management system themselves.
Location targeting is the real advantage
The biggest benefit isn’t simply having lots of IPs.
It’s being able to use the right IP for the job.
Imagine an SEO agency tracking the same keyword across five cities. The agency isn’t really interested in one generic ranking. It wants to know what people in those locations are seeing.
That’s where residential targeting becomes valuable.
A provider with city-level targeting gives the scraper much more control over the data being collected. GoProxies currently advertises targeting by country, state and city across its residential infrastructure.
That makes the residential approach especially relevant for local SEO.
How it compares with the bigger names
There are obviously plenty of alternatives.
Bright Data and Oxylabs are major names in the proxy industry, while Smartproxy is another provider frequently considered by people building scraping systems.
All three offer substantial infrastructure, so they deserve a place in a serious comparison.
But the largest network isn’t automatically the most useful one.
For a project focused specifically on SERP data, what matters is whether the provider can deliver the residential locations, rotation and request reliability required by the workflow.
That’s where a residential-first approach can be attractive. GoProxies currently advertises an 80M+ IP pool and geo-targeting down to city and ISP level, while its scraping API combines automatic IP rotation with other scraping functionality.
A practical way to look at it
A good SERP setup should answer three questions.
Where does the request appear to come from?
How often does the IP change?
And how much of the technical headache does the provider handle?
If those answers line up with the project, the rest becomes considerably easier.
It’s also worth remembering that residential proxies aren’t a guarantee that every request will succeed. Search engines can look at plenty of signals beyond the IP address. Good scraping infrastructure reduces one major source of friction, but it doesn’t make detection disappear.
The takeaway
For anyone collecting search results at scale in 2026, residential proxies deserve serious consideration.
They make particular sense when location-specific SERP data matters, whether that’s for local SEO, competitor research, rank tracking or market analysis.
GoProxies stands out in this particular comparison because residential IPs are central to its SERP offering rather than simply being one small feature among many. Its current scraping API also brings together SERP collection, geographic targeting and automatic residential IP rotation.
The best choice ultimately depends on the project, but anyone comparing providers should look beyond the headline IP count. Location coverage, residential quality and how easily the system handles rotation are much more useful things to investigate.
After all, when the goal is to see what Google actually shows to people in different places, the IP behind the search matters almost as much as the search itself.
