Google is where demand shows up first: rankings, ads, Shopping listings, and local results all shift daily and differ by location. ProxyOmega gives SEO platforms, agencies, and data teams rotating residential, ISP-grade, and mobile IPs in 200+ countries, so SERP snapshots reflect what real searchers in each market actually see — not what your office IP sees.
Few public datasets get queried harder than Google's results pages. Rank trackers refresh keyword positions daily across thousands of terms; SEO platforms rebuild keyword difficulty and share-of-voice models from live SERPs; e-commerce teams watch Shopping listings and product grids; agencies verify that client ads actually served in the right city with the right copy. All of that is publicly visible in any browser — but collecting it at scale from a single office or datacenter IP is impractical, because Google applies automated-traffic controls and throttles unusual request volume from any one address long before a serious crawl finishes.
The second problem is localization. Google assembles each results page around the searcher's location: the local pack, near-me results, Shopping prices, ad copy, and even organic ordering change between countries, states, and cities. A rank report generated from one fixed IP describes exactly one place on Earth. Teams that sell localized SEO or run multi-market campaigns need requests that originate in the market they are measuring — a residential IP in Dallas to see Dallas results, a mobile carrier IP in the UK to see what a British commuter sees.
Residential and mobile proxies solve both problems at once: they spread request volume across a large pool of real-consumer IPs, and they place each request in a chosen geography. That matters commercially as well as technically: an accurate, market-specific SERP dataset is the difference between reporting what a client's customers actually see and reporting an artifact of your own network location. What proxies do not change is your responsibility — collecting Google's public pages is a normal, widely practiced business activity, but you remain responsible for complying with Google's terms of service and the laws that apply to your use of the data.
There is no single best proxy for Google because the workflows differ: SERP HTML is lightweight but high-frequency, local monitoring needs precise geography, and ad verification needs the most trusted IP types. ProxyOmega runs distinct networks so you can match the cost model to the workload instead of paying per-GB rates on millions of small HTML pages — see /use-serp/ for the broader SERP playbook. All three networks share the same endpoint and username syntax, so moving a workflow between them is a one-line change.
SERP pages are small; the cost driver is request count, not bandwidth. Budget Unlimited (/plan-unlimited/) gives you flat-rate ports on a 1.5M+ residential pool with unmetered bandwidth, per-port interval rotation, and country targeting — refresh ten thousand keywords a day without watching a gigabyte meter.
When a client pays for Phoenix rankings, a request from the wrong metro produces a wrong report. Platinum (/plan-platinum/) is Tier-1 ISP-quality residential with country, state, city, and ASN targeting on pay-as-you-go GB — precise geography for the checks that have to be right.
Mobile results and mobile ad inventory differ from desktop, and real carrier addresses are the highest-trust IP type available. Mobile (/plan-mobile/) routes verification checks through real 4G/5G carrier IPs billed per GB, so you see the placements a phone user in that country is actually served.
Every ProxyOmega port speaks HTTP, HTTPS, and SOCKS5 on the same port, and all targeting is controlled from the proxy username, so setup is identical whether you are wiring up Scrapy (/integration/scrapy/), Playwright (/integration/playwright/), or an in-house SERP fetcher.
residential.proxyomega.com:10000 — HTTP, HTTPS, and SOCKS5 all work on that same port.-country-us (or any of 200+ country codes) to the username so results are assembled for the market you are measuring.-session-kw1042 to hold one IP for multi-page crawls, or omit it to rotate on the port's interval; cap sticky lifetime with -ttl-600.Match session behavior to how Google builds results. For broad rank tracking, rotation is your friend: each keyword check is independent, so letting the port rotate on its interval spreads queries across the pool and keeps per-IP volume low. For anything multi-step — paginating through results, opening a result page after the SERP, comparing layouts for one query — pin a sticky session with the -session- suffix so the whole sequence comes from one address and the captured results stay internally consistent.
Targeting should mirror your reporting claim. If you report national US rankings, country targeting on the unlimited pool is enough. If you report city rankings or local-pack presence, route those specific checks through Platinum with state- and city-level targeting rather than hoping a country-level IP lands nearby. Keep sticky TTLs short — five to fifteen minutes — for SERP work: long sessions add nothing once a crawl sequence completes, and shorter TTLs return IPs to rotation faster. A practical pattern is to run the broad keyword set on rotating Budget Unlimited ports and reserve a smaller Platinum budget for the city-sensitive subset, so precision is spent only where the report claims it.
| Workflow | Session type | Targeting |
|---|---|---|
| National rank tracking | Rotating (per port interval) | -country-us on Budget Unlimited |
| Multi-page SERP crawl | Sticky, -session-kw1042 + -ttl-900 | -country-us |
| Local pack and Maps monitoring | Sticky, short TTL | State and city targeting via Platinum |
| Mobile ads verification | Rotating per check | -country-us on Mobile 4G/5G |
Here is a minimal Python example that fetches a public Google results page through a sticky, US-targeted session. The same proxy URL drops into Scrapy, Playwright, Puppeteer, or curl unchanged — see /integration/ for framework-specific guides. Swap in your own credentials from the dashboard before running it.
import requests
proxy = (
"http://USERNAME-country-us-session-serp42:API_KEY"
"@residential.proxyomega.com:10000"
)
proxies = {"http": proxy, "https": proxy}
params = {"q": "wireless earbuds", "hl": "en", "gl": "us", "num": 20}
headers = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64)"}
resp = requests.get(
"https://www.google.com/search",
params=params,
headers=headers,
proxies=proxies,
timeout=30,
)
print(resp.status_code)
print(len(resp.text), "bytes of SERP HTML")socks5:// as the scheme with identical credentials and username targeting suffixes, and keep residential.proxyomega.com:10000 as the host. This works in curl, Python, Scrapy, and headless browsers alike.-country-us so the IP sits in the right market, and align query parameters like hl and gl with it. For city-level precision — local packs, near-me checks, metro-specific ads — use the Platinum network, which supports state and city targeting, so the request genuinely originates near the location you are reporting on.Rotating residential, ISP, and mobile IPs in 200+ countries — set up in minutes.
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