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Try proxiesInfrastructure for scraping public Google Play data — not a Store region changer and not a way to access apps. For ASO specialists, app marketers, mobile market analysts, and developers tracking their categories. Packages from $19/month.
To set the boundary first: this page is about collecting public data from the Play Store for ASO and market analytics — not about changing your Play region or reaching apps unavailable in your country, which is an account-and-payment-profile matter no proxy resolves. What the store exposes publicly is a rich surface: full app metadata (title, description, install counts, version history, rating histograms), user reviews with unlimited pagination depth, top free / top paid / top grossing charts per category, search results with their ranking order, similar-app clusters, and the permissions and data-safety declarations apps file. There’s no official API for any of it — Google never shipped one — so the entire ASO tooling industry reads the same endpoints the store’s own front-end calls, through open-source libraries that wrap them with country and language parameters.
The geographic angle is what turns one store into dozens of datasets. Each market has its own catalog: an app’s availability, its category rank, its pricing, the language of its reviews, and even which competitors surface as “similar” all differ between the German and Turkish storefronts — and a request’s country parameters ask for a market’s view, while collecting from an address inside that market is how you verify what users there are actually served, availability included. For a tracker reporting chart positions across ten countries, a country mix inside one package covers the whole map from one list. The volume side is where the pool earns its keep: review archives run tens of thousands of pages deep, chart snapshots repeat daily, and Google meters unusual cadence per IP — the scraping libraries ship with built-in throttling and proxy support for exactly this reason, and spreading the pull across a package keeps every address at a pace nobody notices.
Where this fits in a stack: the collection mechanics are ordinary scraping-infrastructure work — pin a worker to an address, rotate on failures, keep raw snapshots — with the store-specific parts (pagination tokens, the ~200-app ceiling per chart slice) handled by the libraries. Most app-intelligence teams cover both stores from one package — the App Store page details Apple’s side, where the constraints invert: thin official endpoints with an explicit per-IP budget instead of Play’s undocumented tolerance. For teams that also track web search visibility, that’s a different discipline with different targets — our SEO proxies page covers it — while this page stays inside the store, where positions are app-store ranks rather than search results. And if part of your pipeline holds long stateful sessions rather than stateless pulls, static ISP addresses add consumer registration to the same static workflow; for the standard collect-and-move-on pattern, datacenter packages carry the volume at package prices.
Four infrastructure types — and the use cases each one fits best.
| Our pick for Google Play Packagesdatacenter IPv4 |
Rotating | ISP | IPv6 | |
|---|---|---|---|---|
| IP source | Datacenter, IPv4 | Datacenterthe same 100,000+ IP pool | Consumer ISP networks | Datacenter |
| IP allocation | Static list | Full pool accessthe exit IP rotates on every request | Static list | Static list |
| List refreshes | Up to 3 per month, free | Not applicable | Up to 3 per month, free | Provider-dependent |
| Pricing model | Per-IP packageunlimited bandwidth | Credit-basedyou pay per request, not per IP | Per-IP packageunlimited bandwidth | Per-IP package |
| Website compatibility | ✓ ~100% | ✓ ~100% | ✓ ~100% | ✕ Limitedmany websites don't support IPv6 |
| Speed | Up to 500 Mbps | Up to 300 Mbps | Up to 500 Mbps | Datacenter-grade |
| Anti-fraud trust | Medium | MediumIP rotation helps | High | Low to medium |
| Price | $from $0.07 per IP/month | $$$from $49.00/month | $$from $0.22 per IP/month | $typically the lowest-cost option |
| Best for | Web scraping and automation at a predictable volume: your own IPs, unlimited bandwidth | API scraping that needs as many different IPs as possible without buying a fixed list | Social media, accounts, long sessions — wherever IP trust matters | Use cases where the target site is guaranteed to support IPv6 |
| Buy now | Rotating proxies | ISP proxies | We don't sell these: too many limitations for general-purpose work |
The open-source Play scrapers (Python, Node.js, PHP) take a proxy as a constructor option — one line per worker. Every IP answers on HTTP, HTTPS, SOCKS4, and SOCKS5: copy the snippet for your stack or paste it into your AI coding assistant.
# HTTP or HTTPS proxy curl -x http://login:password@IP:port https://example.com # SOCKS5 curl --socks5-hostname IP:port \ --proxy-user login:password \ https://example.com
import requests proxy = "http://login:password@IP:port" # your proxy from the Dashboard r = requests.get( "https://example.com", proxies={"http": proxy, "https": proxy}, ) print(r.status_code)
import { ProxyAgent } from "undici"; const dispatcher = new ProxyAgent("http://login:password@IP:port"); const res = await fetch("https://example.com", { dispatcher }); console.log(res.status);
$ch = curl_init("https://example.com"); curl_setopt($ch, CURLOPT_PROXY, "IP:port"); curl_setopt($ch, CURLOPT_PROXYUSERPWD, "login:password"); curl_setopt($ch, CURLOPT_RETURNTRANSFER, true); $response = curl_exec($ch);
Choose a standard format or create a custom one with any field order and delimiter your software requires.
See the FAQ for the ports used by each protocol.
You can automate purchases, renewals, whitelist changes, and proxy list exports. Create an API key in your Dashboard in a couple of clicks.
Claude, Cursor, and other agents buy proxies, renew plans, and export updated proxy lists through an access token you create in your Dashboard. See how it works.
Per-IP prices shown are for the largest package size. Get an exact quote in the calculator above.
| IP | Country | Port | Protocol | |
|---|---|---|---|---|
| 212.183.88.215 | AT | 80 | HTTP | |
| 47.243.92.199 | HK | 3128 | HTTP | |
| 212.183.88.153 | AT | 80 | HTTP | |
| 212.183.88.13 | AT | 80 | HTTP | |
| 203.95.199.159 | KH | 8080 | HTTP | |
| 154.92.9.3 | JP | 80 | HTTP | |
| 113.204.79.230 | CN | 9091 | HTTP | |
| 181.214.1.97 | AE | 80 | HTTP | |
| 219.93.101.63 | MY | 80 | HTTP | |
| 185.18.250.64 | CH | 80 | HTTP |
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I use proxies for online games. I have been using the service for many months and I am satisfied with the quality and efficiency. Proxies work as they should and there are practically no disconnects. I recommend it, you will not regret it!
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Proxies do not fail, and at this price it is a great gift. I buy them when I need them, usually once every few months. There have been a few minor glitches but the support here is above all praise. Responsive, kind, understanding and fast. All issues were resolved promptly. It is very nice to work with true professionals.
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No — and since this is the most common reason people land on a page like this, here's the mechanism so you don't spend money proving it. Your Play Store country is a property of your Google account, not of your connection: it's set by your payment profile, and Google's own rules let you change it once per year, with a payment method from the new country as the gatekeeper. Browsing through a foreign IP doesn't move it — the store keeps serving your account's catalog regardless of where the request exits, and the occasional forum recipe (fresh account, foreign IP, no payment method) lives entirely at Google's tolerance, breaks on the next account review, and puts purchases in a currency you can't pay in. We'd rather say it plainly than process the refund: nothing we sell changes what your account can download. What an address in another country does give you is the analyst's view — what that market's catalog, charts, and pricing look like from outside an account context — which is exactly the job the rest of this page is about.
At that volume you genuinely might not — the Play endpoints are famously tolerant at small scale, and practitioners routinely pull a few hundred reviews in under a second from a bare connection. The math changes with ambition, along two axes. Volume: a serious review archive is tens or hundreds of thousands of pages, chart tracking re-asks the same questions daily, and a single address running that cadence around the clock eventually meets the metering that casual pulls never touch — with the annoying property that the block arrives mid-job, halfway through a dataset you now can't finish consistently. Geography: the moment your product reports per-country data, requests need to exit from those countries — your home IP can ask for the German view with a parameter, but verifying what German users are actually served (availability included) takes a German address, and a parameter-only pipeline misses region-availability differences entirely. The honest buying rule: prototype proxyless, and bring in a package when the pipeline becomes daily, multi-market, or deep enough that an interruption costs you more than the infrastructure.
Only current — the store is a snapshot with no memory, and this shapes how ASO pipelines are built more than any other single fact. There's no endpoint that returns last month's chart or a review-count curve: every request answers “now,” which means history is something you manufacture by collecting on a schedule and storing the snapshots yourself. That's the real reason chart tracking is a daily (often hourly) workload rather than a one-time pull — the dataset's value is the time series, and the time series only exists if your collector never misses a day. Practical implications: build the pipeline for boring reliability rather than burst speed (steady pacing across a pool beats aggressive pulls that risk gaps), version your snapshots with timestamps and market labels, and start collecting before you need the history — the trend you'll want in six months has to begin today. The commercial ASO platforms' moat is exactly their accumulated archive; a package plus a scheduler is how you start building your own instead of renting theirs.
Google's terms prohibit automated access to its services without permission — that's the contract layer, it applies to the Play Store as much as anything Google runs, and its practical enforcement is the rate metering your pool is built to respect. The broader picture is more permissive than the terms alone suggest: app metadata, ratings, and public reviews are non-personal, publicly displayed data (US case law has generally treated collection of such data favorably), and an entire commercial ecosystem of ASO and market-intelligence platforms operates openly on exactly this collection, for years, at massive scale. Sensible lines to draw yourself: treat reviewer names and avatars as personal data and drop or hash them if your analysis doesn't need them; don't republish review corpora wholesale as your own content; keep collection logged-out and politely paced so you're never degrading the service; and if the data feeds a commercial product, one counsel review of the terms question is cheap insurance. Collection discipline, not permission, is what separates the industry's standard practice from the conduct that gets addressed.
A different proxy type may be a better fit for your use case. All products use the same Dashboard and support team.
An IP reserved exclusively for you, available from a single IP. Speeds of up to 500 Mbps per proxy.
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