Sellers and marketers are increasingly noticing that the same product card in the Wildberries, Ozon, or AliExpress app is cheaper than on the website in a browser. This is not a bug or coincidence — it is a deliberate pricing strategy of the marketplaces. To track such discrepancies and build a sales or purchasing strategy on them, access to the mobile version of the price as seen by a real smartphone user is needed. And here, regular parsing tools stop working.
Why prices in the app differ from the website
Marketplaces and aggregators deliberately create a price difference between the web version and the mobile app. There are several reasons for this. Firstly, conversion in the app is higher: a user who has already installed the app is more loyal and makes purchases more often, so it is easier to "push" them with a discount of 3–10%. Secondly, many platforms receive separate bonuses from manufacturers and suppliers for promoting through the mobile channel — hence the "exclusive app prices" on Wildberries, Ozon, and AliExpress. Thirdly, dynamic pricing algorithms consider the device as one of the signals: mobile traffic is considered more "hot" and prone to spontaneous purchases, which is why promotions, flash sales, and personal promo codes are more often shown there.
For sellers, this difference is critical for two reasons. If you are selling on a marketplace, it is the in-app price of competitors that forms real demand — buyers mainly place orders through the app, not the browser. If you are a buyer or dropshipper, the price difference between the website and the app of AliExpress or another platform is direct savings on purchases. Monitoring only the web version means seeing a distorted picture of the market.
How apps determine that you are on mobile
The website and the app are different clients that communicate with the server through different API endpoints, with different headers and authorization tokens. Faking the browser's User-Agent to make it "pretend" to be a mobile app almost never works: the server checks not only the headers but also the structure of the request, the version of the protocol, the device token signature, and in some cases — the behavior of the SDK within the app itself.
The second level of verification is the IP address and its affiliation. Marketplace servers see from which subnet the request came: datacenter ranges (AWS, Hetzner, OVH) are marked as suspicious almost immediately, while ranges from mobile operators (MTS, Beeline, MegaFon, Tele2, and foreign analogs) are perceived as regular user traffic. This means that even with perfect imitation of app headers, a request from a datacenter IP may receive the web price instead of the app price because the pricing algorithm "sees" the mismatch: the client presents itself as an app, while the IP presents itself as a server.
The third point is geolocation. Prices in apps are often tied to the region: Wildberries and Ozon show different promotions for Moscow, regions, and other CIS countries. Therefore, for correct monitoring, it is important not just to obtain a mobile IP, but to get an IP from a specific region and specific operator, as similar as possible to a real buyer from that location.
Why datacenter proxies are not suitable for in-app monitoring
Datacenter proxies work great where speed is more important than anonymity: mass parsing of open catalogs, checking website indexing, load testing. But for simulating a mobile user, they are almost useless. The ASN of the datacenter is immediately recognized by the marketplace's anti-fraud system, and even if the request technically resembles a request from the app, the server may return the basic web price or even block the session as a bot.
In practice, it looks like this: you set up an Android emulator, connect a datacenter proxy, open the Ozon app — and see the same prices as in a regular browser, or you get a captcha, or the app does not load the catalog at all. The anti-fraud systems of major marketplaces have learned over the past couple of years to accurately match the declared client type (mobile app) with the actual network type, and datacenter subnets are the first alarm signal.
How mobile proxies better solve the task
Mobile proxies provide IP addresses from real cellular operators — this is the same pool of addresses through which a regular smartphone owner accesses the internet. For the pricing system, such a request looks completely organic: mobile app, mobile network, mobile IP — everything matches. This is critical if the goal is to see exactly the price that a real buyer sees with a phone in hand.
An additional advantage of mobile proxies is the feature of CGNAT (Carrier-Grade NAT) used by operators: the same IP is used simultaneously by thousands of real subscribers. This reduces the likelihood that a specific address will fall under targeted blocking, because blocking it means blocking many ordinary users of the operator. For regular in-app price monitoring tasks, this provides stability: sessions last longer, and IP rotation occurs naturally, without manual intervention.
If the task is broader than just price monitoring — for example, if you also need to register test accounts to check personalized promotions — consider residential proxies: they also provide real IPs of end users, but from home networks, which is well-suited for the desktop part of the checks and cross-channel price comparisons "website vs app."
| Proxy Type | For in-app monitoring | Risk of showing web price |
|---|---|---|
| Datacenter proxies | Not suitable | High |
| Residential proxies | Partially suitable | Medium |
| Mobile proxies | Optimal | Low |
Step-by-step setup for in-app price monitoring
To track prices within a mobile app, you need a combination of three elements: the environment for launching the app, a mobile proxy, and a place to store the results. Let's break down the basic option without programming.
Step 1. Choose an environment to launch the app. The easiest way is to use an Android emulator on your computer — BlueStacks, NoxPlayer, or Genymotion. Install the emulator, download the required app (Wildberries, Ozon, AliExpress) from Google Play or directly via APK.
Step 2. Connect the mobile proxy to the emulator. In the emulator's Wi-Fi settings, open the "Proxy" section, select "Manual," and specify the host, port, and username/password provided by the mobile proxy service. It is important to choose a proxy from the region whose prices you want to monitor — for Wildberries and Ozon, this is usually a specific city or area.
Step 3. Create a separate profile for each check. If you are monitoring several regions simultaneously, create several emulators or several instances in an anti-detect browser with Android emulation (this is supported by some configurations of AdsPower and Octo Browser). Each profile should have its own mobile IP and geolocation so that the data does not mix.
Step 4. Record the price and compare it with the web version. Open the product card in the app through the proxy and the corresponding card in a regular browser without a proxy (or with a different type of proxy). Record the difference in a table — manually for 10–20 items, this takes 15–20 minutes.
Step 5. Automate the repeat. If regular monitoring is needed (daily, weekly), set up a schedule to launch the emulator through the built-in schedulers of anti-detect browsers or third-party click automation services that can open the app, scroll through the catalog, and take a screenshot of the price on a timer.
Tools and services for automation
To scale monitoring, it is useful to know the set of tools used by sellers and price analytics agencies.
Android emulators: BlueStacks and NoxPlayer — for one-time and small checks, Genymotion — for parallel launching dozens of virtual devices with different configurations and IPs.
Anti-detect solutions with mobile emulation support: some configurations of AdsPower and Octo Browser allow emulating a mobile User-Agent and connecting a separate proxy to the profile, which is convenient for parallel monitoring of several regions without the need to keep physical devices.
Proxy managers: control panels for mobile proxies with the ability to select the operator, region, and IP rotation by timer — this is convenient when you need to get a "fresh" mobile address every 10–15 minutes to avoid rate-limiting on the marketplace side.
Tables and dashboards: Google Sheets with manual data entry is suitable for starting, but when monitoring more than 50 SKUs, it is wiser to use no-code parsers (for example, builders based on Make or n8n) that pull the app's API through a configured proxy and automatically store the price in a table — without writing code, through visual blocks.
Screenshot bots: for visual control (especially if evidence of price discrepancies is needed for disputes with suppliers or marketplaces), extensions that automatically take a screenshot of the product card in the app on a schedule are useful.
Real cases: what monitoring shows
Sellers who have established regular in-app price monitoring on Wildberries find that on average 15–25% of competitors' products in the app are sold cheaper by 5–12% than on the website — this directly affects positions in search results and sales volume, as the marketplace's ranking algorithm takes into account conversion, which is higher for products with a "mobile" discount.
On Ozon, the difference is often related to the "Ozon Premium" program and personal promo codes that are only shown in the app to authorized users with a purchase history — regular website parsing does not capture such promotions at all, and without mobile monitoring, the seller does not see the real picture of the competitive environment.
For buyers on AliExpress, the difference between the app price and the web price sometimes reaches 10–15% in certain categories of goods during flash sales, which are announced via push notifications specifically in the app and are not always duplicated on the website. Monitoring through mobile proxies from the required region allows capturing such windows and purchasing batches at a more favorable price.
Launch checklist for in-app price monitoring
- Determine the list of platforms and products for monitoring (Wildberries, Ozon, AliExpress, Avito)
- Install an Android emulator (BlueStacks, Genymotion) or set up a profile in an anti-detect browser
- Connect the mobile proxy of the required region and operator to each profile
- Record the basic web prices of the same products for comparison
- Set up regular checks (daily/weekly)
- Maintain a discrepancy table with the date, product, app price, and web price
- Rotate IPs — at least once per session to avoid being flagged as a bot
- Check the geolocation of the proxy before each launch — it should match the required region
Common mistakes when monitoring in-app prices
Using the same IP for all checks. Even a mobile proxy, if used constantly for the same account or session without rotation, can fall under request frequency limits — especially if checks are done every few minutes.
Ignoring authorization. Many personal discounts in the app are only shown to logged-in users with an order history. An anonymous session without logging into the account may show the base price, even if the IP is a perfectly valid mobile one.
Mixing regions. If the proxy provides an IP from one city, but the emulator settings specify the geolocation of another region, the app may show contradictory data or refuse to service the request due to signal mismatches.
Lack of regularity. A one-time check does not reflect dynamics — in-app prices change throughout the day due to flash sales and limited-time promotions, so monitoring needs to be done systematically, not once a month.
Conclusion
The difference between the price on the website and in the app is not an anomaly, but part of the marketplaces' strategy to stimulate mobile sales. To see the real picture of the market, it is not enough to parse only the web version: you need to look at prices through the eyes of a real smartphone owner, which means accessing the internet through a mobile IP from a specific operator and region.
If you plan to set up regular in-app price monitoring on Wildberries, Ozon, or AliExpress, it is worth starting with selecting a suitable pool of addresses — we recommend trying mobile proxies to simulate a real buyer within the app. For the desktop part of the comparison and cross-channel checks, you can additionally use residential proxies — together, these two types provide a complete picture of pricing on any platform.