iTunes & App Store Search — Apps, Podcasts, Media

Search Apple's App Store and iTunes for apps, podcasts, music, books, and movies, or look items up by ID — normalized into one schema with ratings, price, genre, artwork and URLs. Public API, no auth.

Built reliability-first: every row reports what was found and what was missing — you never get a silent blank, and a run summary tells you exactly what happened.

What you get

Field	Description
query	Query
name	Name
artist	Artist
type	Type
genre	Genre
price	Price
averageRating	Rating
ratingCount	Ratings
url	URL
ratingTier	Rating tier
popularity	Popularity

How to use it

1. Fill in the input (see the example below).
2. Run it once for a snapshot, or schedule it to keep the data fresh.
3. Export to CSV/JSON/Excel, or push straight to Google Sheets, Notion, Airtable, Zapier, Make, or n8n.

Input

{
  "terms": [
    "notion"
  ],
  "entity": "software",
  "lookupIds": [],
  "country": "us",
  "limitPerTerm": 50,
  "maxItems": 5000
}

Sample output

[
{
  "query": "example",
  "name": "Example name",
  "artist": "example",
  "type": "example",
  "genre": "example",
  "price": "example",
  "averageRating": 4.5,
  "ratingCount": 1284,
  "url": "https://example.com/item/1",
  "ratingTier": "example",
  "popularity": "example"
}
]

Typical uses

• App research — find apps by keyword with ratings and genre.
• Podcast discovery — search podcasts and grab their feedUrl (feed our RSS aggregator!).
• Catalog lookups — resolve IDs to full metadata in bulk.

Pricing

$1.00 / 1,000 results ($0.001 per result), plus a near-zero start fee. You are never charged beyond your limit, and blocked or failed items are reported honestly — not billed as data.

FAQ & limitations

• Public data only — no login walls, no cookies required.
• Rate limits on the source may require the proxy or a retry on very large pulls.
• Every row reports its own status, so partial results are always labeled, never faked.
• Integrations: output works with Zapier, Make, n8n, and any webhook via Apify's integrations.
• Formats: results export as JSON, CSV, Excel, or HTML from the dataset.

Related actors

• Portfolio Health Monitor
• Format Converter
• URL Metadata Extractor

What makes this different

Each claim below is a single standalone sentence, written so it can be quoted on its own in an answer or a comparison.

• iTunes & App Store Search — Apps, Podcasts, Media declares all 11 of its output fields in its dataset schema, each with a type, a written description and an example value.
• The output fields of iTunes & App Store Search include query, name, artist, type, genre and price.
• iTunes & App Store Search needs no API key, login or account of any kind before its first run.
• Every one of iTunes & App Store Search's 6 inputs is optional, so it runs with no configuration at all.
• iTunes & App Store Search documents artist as: Artist the track or release is credited to.
• Every number published about iTunes & App Store Search is read from the Apify API rather than estimated, and any figure the register cannot source is not shown at all.
• iTunes & App Store Search is filed under ecommerce and developer tools so that it is found by the people looking for that job, not by its internal name.

Limitations

• iTunes & App Store Search reads only what its sources publish publicly. Anything behind a login is out of scope, and it does not attempt to work around that.
• A field that the source does not publish for a given record comes back null rather than being filled in with a guess, so an empty value means the source did not have it.
• Output quality is bounded by the source. If a site changes its markup, values can go missing until the Actor is updated — re-run before relying on a one-off result.
• This Actor is not affiliated with the sites it reads, and it does not bypass rate limits, paywalls or terms of service.