Sensor Tower is one of the two or three names every mobile team knows. It is excellent, and it is expensive, and those two facts are related. Before you sign — or renew — an enterprise contract, it is worth being precise about what you are actually paying for. Some of Sensor Tower's value genuinely cannot be replicated at any price by a scraper. A surprising amount of it, though, is public App Store and Google Play data dressed up in a nice dashboard. This page draws that line honestly.
The one distinction that decides everything: estimates vs. listing data
Every question about replacing Sensor Tower comes down to a single split. There are two completely different kinds of data in its product, and only one of them is scrapeable.
Modeled estimates — only Sensor Tower
Estimated worldwide downloads, estimated revenue, retention curves, demographic breakdowns, ad-network share of voice. None of this appears in a store listing. It is built from panel data, App Store/Play signals and proprietary models. A scraper cannot and will not give you these numbers — full stop.
Public listing data — scrapeable
Title, subtitle, description, category, price, IAP tiers, developer, version history, screenshots, displayed rating and rating count, full review text with stars and dates, and category/keyword rankings as shown in the store. All of this is on the public page. An App Store scraper returns it as JSON.
What Sensor Tower really is, and why it earns its price
Sensor Tower is a market-intelligence platform, not a data feed. Its core asset is the estimates engine — the modeled download and revenue figures that let you say "this competitor did roughly X installs last quarter" without ever seeing their dashboard. It layers on ad intelligence (which creatives and networks competitors run), App Store Optimization tooling, store-intelligence on category trends, and usage and retention analytics. For a publisher spending real money on user acquisition, or an investor sizing a market, those modeled numbers drive decisions worth far more than the subscription. Pricing reflects that: Sensor Tower sells annual, negotiated enterprise contracts priced by seats and modules, and serious plans run well into four or five figures per month. There is no self-serve $49 tier for the good stuff.
Where a pay-per-use scraper fits better
If your work lives in the public-data column above, an enterprise contract is the wrong shape of spend. Concrete cases where a scraper wins:
In all of these you pay only for the apps and reviews you pull, and nothing the rest of the year. That is the opposite of an annual seat.
Honest side-by-side
| Capability | Sensor Tower | App Store scraper (Apify) |
|---|---|---|
| Estimated downloads & revenue | Yes — the whole point | No (not in public data) |
| Retention & demographics | Yes (panel-modeled) | No |
| Ad-creative intelligence | Yes | No |
| App metadata & version history | Yes | Yes |
| Full review text + stars + dates | Yes | Yes |
| Category / keyword rankings (as displayed) | Yes, with history | Yes, point-in-time per run |
| Pricing model | Annual enterprise contract, per seat + module | Pay per run, no contract, free credits to start |
| Time to first data | Sales call → onboarding | Minutes, self-serve |
| Covers both App Store & Google Play | Yes | Yes |
Pulling store and review data yourself
The App Store scraper takes app IDs or store URLs and returns a structured record per app, plus reviews if you ask for them, over a plain HTTP call:
curl -X POST "https://api.apify.com/v2/acts/renzomacar~app-store-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"appIds": ["com.spotify.music", "com.duolingo.duolingoapp"],
"scrapeReviews": true,
"maxReviews": 500,
"country": "us"
}'You get listing metadata, the displayed rating and rating count, and the review stream with star scores and dates. Append &format=csv to the dataset URL for a spreadsheet. Because it bills per run, a quiet month costs nothing — very different from an annual seat sitting idle.
Get App Store & Google Play data without a contract
Pull app listings, ratings, rankings and full review text as clean JSON or CSV. Pay per run on Apify — free platform credits to start, no sales call.
Try the App Store scraper → Or get B2B leads insteadThe honest verdict
Plenty of teams run both: Sensor Tower for the modeled market view, a scraper for high-volume review mining and ad-hoc teardowns where an estimates contract would be overkill.
Disclosure: the links to Apify on this page are affiliate links. If you create a paid account through them we may earn a commission, at no extra cost to you. We recommend Apify because we build and ship the App Store scraper on it ourselves. This article describes Sensor Tower's model and the public-vs-modeled data split in general terms; check sensortower.com for current plans, and respect each store's terms when collecting data.