ASO Audit Report — App Store Listing Health & Keyword Coverage

📑 ASO Audit Report — App Store Listing Health & Keyword Coverage

Mobile growth / ASO agencies auditing a client app's store listing before a keyword or creative push, and PMs benchmarking their listing against category peers. Built by NexGen Watch on Apify.

Source

Apple iTunes Search & Lookup APIs (public, logged-out)
    - https://itunes.apple.com/lookup

• https://itunes.apple.com/search

Public, logged-out only — no API key, login, cookie or CAPTCHA.

Pricing

| Event | Price (FREE tier) |
    |---|---|
    | Actor start (`apify-actor-start`) | $0.05 one-time |
    | Report delivered (`aso-audit-report`) — **primary** | $25.00 |

Four-tier ladder, GOLD-floored: $25.00 FREE / $22.50 Bronze / $20.00 Silver / $16.75 Gold and above. Charge-on-delivery only: a blocked source, an invalid input or an empty window builds no report and charges nothing beyond the start event.

Terminal states

`NORMAL` · `SUCCEEDED-0: GENUINE_EMPTY` · `PARTIAL` · `BLOCKED`.
    A zero with no evidence FAILS loud rather than exiting 0 quietly.

Honest limits

See the `limits` block emitted with every report; scope is stated in-record.
    Deterministic aggregation (`ngd-deterministic-aggregate-v1`) — no LLM, no
    randomness, so identical inputs produce an identical `report_id`.

Output is one report row per result; billing is pay-per-event, the value event being one aso audit report (a $0.05 start fee per run, then $25.00 per aso audit report). Source: itunes.apple.com.

Who buys this

Buyers usually search for ASO audit or ASO keyword.

• Product, ASO and app-marketing teams tracking ASO audit.
• Analysts and agencies benchmarking competitors with ASO keyword.
• Data teams feeding app data into dashboards and BI.

📊 Sample Output

Real rows from run 4izmPeFgRmbq0IGdE on build 0.1.29 (2026-09-28), the same input as the Quick start below — every value is as the source published it (emails masked, long text shortened):

report_id	report_title	scope	sources	method	generated_at
6027c26d95091701222a	ASO Audit — Insight Timer: Meditate, Sleep (US)	app 337472899 on the US storefront; 2 keyword(s) audited	["Apple iTunes Lookup API", "Apple iTunes Search API"]	ngd-deterministic-aggregate-v1	2026-09-28T04:18:03.813701+00:00

The run finished with the status message: NORMAL: emitted 1 item(s)

✅ What you get

Each row is flat JSON with these fields (from the dataset schema and the sample run; a field the source does not publish for a given row is null):

• record_type (string) — e.g. report
• report_id (string) — e.g. 6027c26d95091701222a
• report_title (string/null) — e.g. ASO Audit — Insight Timer: Meditate, Sleep (US)
• scope — e.g. app 337472899 on the US storefront; 2 keyword(s) audited
• sources (array) — e.g. ["Apple iTunes Lookup API", "Apple iTunes Search API"]
• records_analysed (integer) — e.g. 3
• facets (object) — e.g. {"row_type": [{"value": "keyword_coverage", "count": 2}, {"value": "subject_app"
• numbers (object) — e.g. {"rating": {"count": 1, "sum": 4.9, "min": 4.89513, "max": 4.89513, "mean": 4.89
• method (string) — e.g. ngd-deterministic-aggregate-v1
• partial (boolean) — e.g. False
• report_markdown (string) — e.g. # ASO Audit — Insight Timer: Meditate, Sleep (US) - Records analysed: **3** - Wi
• generated_at (string) — e.g. 2026-09-28T04:18:03.813701+00:00
• report_kv_key — e.g. REPORT_6027c26d95091701222a

✅ What you get

• record_type (string) — e.g. report
• report_id (string) — e.g. 6027c26d95091701222a
• report_title (string/null) — e.g. ASO Audit — Insight Timer: Meditate, Sleep (US)
• scope — e.g. app 337472899 on the US storefront; 2 keyword(s) audited
• sources (array) — e.g. ["Apple iTunes Lookup API", "Apple iTunes Search API"]
• records_analysed (integer) — e.g. 3
• facets (object) — e.g. {"row_type": [{"value": "keyword_coverage", "count": 2}, {"value": "subject_app"
• numbers (object) — e.g. {"rating": {"count": 1, "sum": 4.9, "min": 4.89513, "max": 4.89513, "mean": 4.89
• method (string) — e.g. ngd-deterministic-aggregate-v1
• partial (boolean) — e.g. False
• report_markdown (string) — e.g. # ASO Audit — Insight Timer: Meditate, Sleep (US) - Records analysed: **3** - Wi
• generated_at (string) — e.g. 2026-09-23T17:33:20.130612+00:00
• report_kv_key — e.g. REPORT_6027c26d95091701222a

✅ What you get

• record_type (string) — e.g. report
• report_id (string) — e.g. 6027c26d95091701222a
• report_title (string/null) — e.g. ASO Audit — Insight Timer: Meditate, Sleep (US)
• scope — e.g. app 337472899 on the US storefront; 2 keyword(s) audited
• sources (array) — e.g. ["Apple iTunes Lookup API", "Apple iTunes Search API"]
• records_analysed (integer) — e.g. 3
• facets (object) — e.g. {"row_type": [{"value": "keyword_coverage", "count": 2}, {"value": "subject_app"
• numbers (object) — e.g. {"rating": {"count": 1, "sum": 4.9, "min": 4.89512, "max": 4.89512, "mean": 4.89
• method (string) — e.g. ngd-deterministic-aggregate-v1
• partial (boolean) — e.g. False
• report_markdown (string) — e.g. # ASO Audit — Insight Timer: Meditate, Sleep (US) - Records analysed: **3** - Wi
• generated_at (string) — e.g. 2026-09-17T17:02:31.373037+00:00
• report_kv_key — e.g. REPORT_6027c26d95091701222a

⚙️ Sample inputs

1. Quick start — the Store example (this is what the sample above came from)

{
  "app_id": "337472899",
  "country": "us",
  "keywords": [
    "meditation",
    "sleep"
  ],
  "max_keywords": 5
}

The sample run charged exactly: 1 × $0.05 apify-actor-start + 1 × $25.00 aso-audit-report = $25.05 on the Free tier — every delivered row was billed.

This actor takes no size cap or filter beyond the input above, so the Store example is the one input to run; put it on a schedule to keep the data current.

🧾 JSON sample record

One real record from run 4izmPeFgRmbq0IGdE, exactly as it lands in the dataset (emails masked, long text shortened):

{
  "record_type": "report",
  "schema_version": "1.0",
  "report_id": "6027c26d95091701222a",
  "report_title": "ASO Audit — Insight Timer: Meditate, Sleep (US)",
  "scope": "app 337472899 on the US storefront; 2 keyword(s) audited",
  "sources": [
    "Apple iTunes Lookup API",
    "Apple iTunes Search API"
  ],
  "records_analysed": 3,
  "facets": {
    "row_type": [
      {
        "value": "keyword_coverage",
        "count": 2
      },
      {
        "value": "subject_app",
        "count": 1
      }
    ],
    "primary_genre": [
      {
        "value": "unknown",
        "count": 2
      },
      {
        "value": "Health & Fitness",
        "count": 1
      }
    ],
    "ranked": [
      {
        "value": "True",
        "count": 2
      },
      {
        "value": "unknown",
        "count": 1
      }
    ]
  },
  "numbers": {
    "rating": {
      "count": 1,
      "sum": 4.9,
      "min": 4.89513,
      "max": 4.89513,
      "mean": 4.8951,
      "median": 4.89513
    },
    "rating_count": {
      "count": 1,
      "sum": 446947,
      "min": 446947,
      "max": 446947,
      "mean": 446947,
      "median": 446947
    },
    "subject_rank": {
      "count": 2,
      "sum": 12,
      "min": 1,
      "max": 11,
      "mean": 6,
      "median": 6
    },
    "result_count": {
      "count": 2,
      "sum": 94,
      "min": 46,
      "max": 48,
      "mean": 47,
      "median": 47
    },
    "title_length": {
      "count": 1,
      "sum": 30,
      "min": 30,
      "max": 30,
      "mean": 30,
      "median": 30
    },
    "screenshot_count": {
      "count": 1,
      "sum": 9,
      "min": 9,
      "max": 9,
      "mean": 9,
      "median": 9
    },
    "description_length": {
      "count": 1,
      "sum": 3919,
      "min": 3919,
      "max": 3919,
      "mean": 3919,
      "median": 3919
    }
  },
  "method": "ngd-deterministic-aggregate-v1",
  "partial": false,
  "report_markdown": "# ASO Audit — Insight Timer: Meditate, Sleep (US) - Records analysed: **3** - Window / scope: app 337472899 on the US storefront; 2 keyword(s) audited - Sources: Apple iTunes Lookup API, Apple iTunes Search API - Report id: `6027c26d9509170",
  "generated_at": "2026-09-28T04:18:03.813701+00:00",
  "report_kv_key": "REPORT_6027c26d95091701222a"
}

🔧 How it works

Source. The actor reads itunes.apple.com — endpoints: https://itunes.apple.com/lookup, https://itunes.apple.com/search. Public pages and feeds only; nothing behind a login.

Transport. Plain HTTPS from the Apify platform, no proxy. Every request carries an identified contact User-Agent.

Terminal states. A run ends NORMAL, CAPPED (your cap was reached), PARTIAL (something was withheld and the message says what), GENUINE_EMPTY (the source was read and truly had nothing in scope) or BLOCKED (the source refused or changed shape — the run FAILS loud and bills nothing). A zero-row run is never reported as a silent success.

Charging. Each aso audit report is charged at the moment it is pushed (aso-audit-report); a row that fails to charge is not delivered, so the dataset count always equals the charged count.

🔧 How it works

🔧 How it works

What is not done. No login, no cookie or CAPTCHA bypass, no private or personal-account data, no browser automation.

💰 Pricing example

Event	Free	Bronze	Silver	Gold
Actor Start (apify-actor-start)	$0.05	$0.05	$0.05	$0.05
Aso Audit Report (aso-audit-report)	$25.00	$22.50	$20.00	$16.75

Worked at the live Free-tier price:

• 1 aso audit reports: $0.05 start + 1 × $25.00 = $25.05
• 25 aso audit reports: $0.05 start + 25 × $25.00 = $625.05
• 100 aso audit reports: $0.05 start + 100 × $25.00 = $2,500.05

A run that delivers zero rows charges the $0.05 start fee only. A BLOCKED run (source refused) fails loud and charges no value event. The start fee is charged once per GB of run memory; the default run memory is 1024 MB.

Yield on the sample run: NORMAL: emitted 1 item(s).

⚖️ Legal & ToS

This actor reads public, logged-out pages and feeds published by itunes.apple.com. It collects only what the source publishes to any visitor, identifies itself with a contact User-Agent, and does not access accounts, private data or anything behind authentication. Use the output in line with the source's terms and your local law; the intended use is B2B research and monitoring.

❓ FAQ

Q: Do I need an API key or a login?
A: No. The source (itunes.apple.com) is read logged-out; the input schema has no key field and the actor carries no secrets.

Q: Why did my run return 0 rows?
A: Read the run's status message. GENUINE_EMPTY means the source was read and had nothing in scope for your input; BLOCKED means the source refused and the run failed without billing a value event — retry later or narrow the input. A zero-row run bills the start fee only.

Q: How fresh is the data?
A: Every run reads the source live at run time; nothing is cached between runs. Put it on a schedule for a continuous feed.

Q: What formats can I export?
A: The dataset downloads as JSON, CSV, Excel, XML or RSS from the run's Dataset tab or the Apify API, and any run can push to a webhook or integration.

Q: How is this different from the other premium report actors actors?
A: Same output shape and billing model; this one covers itunes.apple.com. The siblings under Related Actors cover the other sources or slices — run several on one schedule for a combined feed.

Q: Are there rate limits?
A: The actor paces itself against the source; there is no per-buyer limit beyond your Apify plan's concurrency.

🆘 Troubleshooting

• Run FAILED with BLOCKED → the source refused the request or changed its page shape → nothing was billed beyond the start fee; retry after a while, and if it persists open an Issue with the run id.
• Fewer rows than expected → the source had fewer items in scope → widen the input.
• Input validation error on start → a field is outside the schema's allowed values → start from the Quick start block and change one field at a time.
• Run TIMED-OUT → a very wide request on a slow day → raise the run timeout in Run options or narrow the input; what was delivered before the timeout is still in the dataset.

🔗 Related Actors

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• App Review Deep Report — Sentiment, Themes & Complaints — Stop paying $50–100+/month for a review-intelligence subscription you use a few times
• EDGAR Diligence Report — Per-Issuer SEC Filing Brief — Per-issuer SEC/EDGAR diligence in one run — material 8-K events, filing history, and risk factors as structured findings plus a rendered markdown bri…
• Grant Funding Report — NIH Awards & Grants.gov Window — Research-development offices and grant consultancies sizing a funder's activity in a topic area, and life-science BD teams tracking award concentrati…
• Tender Pipeline Report — UK & EU Procurement Window Analysis — Bid teams and procurement-intelligence vendors sizing a pipeline for a buyer or CPV category over a dated window, and consultancies producing client…
• 🏢 About NexGen Watch — NexGen Watch is a catalog of more than 300 public data actors built on official sources, pay-per-result. Browse the catalog at apify.com/nexgenwatch.

⭐ Found this useful?

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