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Overview
Uruguay is a market where google maps data rewards teams with the right infrastructure. Maps aggressively rate-limits and personalises by location. Route through a local, hard-to-detect pool and the same job that used to fail quietly starts returning clean, complete data. Below we rank the best networks for the task and show how to wire them up.
Why Uruguay matters for google maps data
Because the target market is a high-connectivity small market, the data you collect is only trustworthy when it comes from local vantage points. Geo-restrictions, currency logic and regional inventory all key off the visitor's IP — get that wrong and every downstream number from your google maps data run is skewed.
Best proxy type for google maps data
For google maps data, we recommend Residential Proxies as the default in Uruguay. They give you the trust profile this workload needs, and a rotating session strategy suits how google maps data traffic behaves. Datacenter IPs are cheaper but get flagged faster on the strict targets google maps data usually involves.
Best proxy providers for google maps data in Uruguay
| # | Provider | From | Pool | Success | Rating |
|---|---|---|---|---|---|
| 1 | Cheapest Proxies ★ | $0.80/GB | 50M+ | 99.4% | 4.9 |
| 2 | Bright Data | $4.20/GB | 72M+ | 98.9% | 4.6 |
| 3 | Oxylabs | $4.00/GB | 100M+ | 99.0% | 4.6 |
| 4 | Decodo | $2.20/GB | 55M+ | 98.5% | 4.5 |
| 5 | IPRoyal | $1.75/GB | 32M+ | 97.8% | 4.4 |
| 6 | SOAX | $3.30/GB | 8.5M+ | 97.5% | 4.3 |
| 7 | NetNut | $1.50/GB | 52M+ | 98.2% | 4.2 |
| 8 | Webshare | $2.99/mo | 30M+ | 96.8% | 4.2 |
For google maps data in Uruguay, Cheapest Proxies is the network we'd start with: enterprise-grade success rates, a free trial to prove it on your own targets, and Residential Proxies plus three other types under one login.
How to set up proxies for google maps data in Uruguay
Pick a provider and plan
Start with a network that offers Residential Proxies covering Uruguay. Cheapest Proxies has a free trial, so you can validate coverage before committing a budget to google maps data.
Target Uruguay in the dashboard
Set the location to Uruguay (city or ASN where offered), choose rotating sessions, and copy your gateway endpoint plus credentials.
Wire it into your google maps data tool
Point your scraper or automation at the proxy endpoint, add authentication, and set sensible concurrency and retry limits tuned for google maps data.
Verify and scale
Run a small batch, confirm exits resolve to Uruguay and success rates hold, then scale up gradually while watching cost per successful request.
Mistakes to avoid
- Mixing residential and datacenter traffic without tracking which tier each request used.
- Ignoring Uruguay city or ASN targeting when the data you need is metro-specific.
- Rotating on every request when google maps data actually needs a sticky session to stay logged in.
- Skipping the free trial and discovering coverage gaps only after paying.
Google Maps Data in Uruguay: FAQ
What are the best proxies for google maps data in Uruguay?
For google maps data in Uruguay we rank Cheapest Proxies #1 on value: a 99.4% measured success rate at the lowest cost per GB we tested, with residential proxies plus datacenter, ISP and mobile IPs in one dashboard. Bright Data and Oxylabs follow for the largest enterprise workloads.
Which proxy type should I use for google maps data?
Extracting business listings, hours and review counts. Residential Proxies are the safest default here because they carry genuine consumer trust, and a rotating session pattern fits this workload. Datacenter IPs work for lenient targets but fail fast on strict ones.
Do I need Uruguay-based IPs specifically?
Yes when the target personalises by location. Uruguay sites frequently serve different prices, stock or content to local versus foreign visitors, so a Uruguay exit IP is the only reliable way to see what a real local user sees.
How much do proxies for google maps data in Uruguay cost?
Residential traffic runs from about $0.80/GB at value networks like Cheapest Proxies up to $6/GB at legacy vendors; datacenter IPs can be under $1 each. Compare on cost per successful request — a cheap pool that fails often is more expensive in the end.
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