Find App Store ASO competitor candidates

Provide one known App Store app ID to find apps that share ranked organic keywords in DataForSEO's database. This operation currently supports the US market and English, with a fixed maximum of ten returned app rows that may include the target itself.

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Use apple-app-competitors-dataforseo to find possible organic-search competitors for one Apple App Store app. Accept a clear Apple App Store app-detail link and extract its numeric app identifier only when the link unambiguously identifies one app. If the link is missing, shortened or unclear, ask in plain language for the direct App Store app link; never ask the user to find or enter an app ID, bundle ID or package name. This exact Tool supports only the United States App Store in English. Set the internal request to language_name=English, location_code=2840 and limit=10; do not ask the user for settings or codes. Separate any returned row for the target app. For other app IDs, summarize shared-keyword counts and reported position information while keeping shared-keyword metrics separate from broader app-database metrics. Up to ten rows may include the target app; do not promise ten additional candidates. Treat these as organic keyword-overlap leads, not verified business competitors or live rankings, and ask the user to review the App Store listings to judge functional relevance.

Task:
Find apps that may be similar to [Apple App Store app link] in the US App Store. Keep the original app separate, then list other apps that appear for some of the same searches. Treat them as suggestions; shared searches alone do not show whether the apps work the same way.

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DataForSEO

Find App Store ASO competitor candidates

You receive

Your Agent receives candidate application IDs with shared-keyword counts and available position summaries. These describe organic search-keyword overlap with the target app. Shared-keyword ranking metrics and broader database ranking metrics for each returned app are reported separately. Your Agent can identify any row for the target itself, then organize the other app IDs for follow-up research. Use the overlap as a starting point for inspecting their App Store listings and deciding whether their functions or audience make them meaningful competitors.

Start with your task

Find apps that may be similar to [Apple App Store app link] in the US App Store. Keep the original app separate, then list other apps that appear for some of the same searches. Treat them as suggestions; shared searches alone do not show whether the apps work the same way.

What to know

Ten rows is a maximum, not ten guaranteed other competitors or complete App Store coverage. Keyword overlap does not verify a commercial or functional rivalry. The result provides IDs and aggregate context, not app names, individual keyword lists, ratings, installs or revenue. Database records do not establish current live rankings; missing values remain unknown.

Inputs & outputs

Inspect the current inputs, availability, and maximum charge before starting.

Input schema

Input schema
Field / Path	Type	Requirement	Meaning
App keyword-overlap request`request`	`object`	Required	Required object containing the target App Store app ID, language name, location code and the fixed result limit. Required fields `app_id, language_name, location_code, limit`
Maximum app rows`request.limit`	`integer`	Required	Required integer with the fixed value 10. This is a maximum, not ten guaranteed other apps; the target itself may appear among returned rows. Fixed value `10`
Target App Store app ID`request.app_id`	`string`	Required	Required string, 1–256 characters, containing the numeric identifier after id in the app's App Store URL. Supply the identifier, not the full URL, app name, bundle ID or Google Play package. Minimum length `1` Maximum length `256`
Language name`request.language_name`	`string`	Required	Required full language-name string, 1–256 characters. The supplier currently supports English only for this operation; supply English explicitly rather than a language code. Minimum length `1` Maximum length `256`
App Store market code`request.location_code`	`integer`	Required	Required integer from 1 to 100000000. The supplier currently supports the US only, code 2840. The wider native integer range does not expand supported markets, and the value must be supplied. Minimum `1` Maximum `100000000`

View raw JSON

{
  "type": "object",
  "required": [
    "request"
  ],
  "properties": {
    "request": {
      "type": "object",
      "required": [
        "app_id",
        "language_name",
        "location_code",
        "limit"
      ],
      "properties": {
        "limit": {
          "type": "integer",
          "const": 10
        },
        "app_id": {
          "type": "string",
          "maxLength": 256,
          "minLength": 1
        },
        "language_name": {
          "type": "string",
          "maxLength": 256,
          "minLength": 1
        },
        "location_code": {
          "type": "integer",
          "maximum": 100000000,
          "minimum": 1
        }
      },
      "additionalProperties": false
    }
  },
  "additionalProperties": false
}

Result schema

Output fields have not been documented yet.

Questions about this tool.

Inputs, results and details to know before running it.

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Use the numerical App Store identifier after id in an app's App Store URL, supplied as a string. It is not an app name, bundle ID or Google Play package. The supplier currently supports US location 2840 and language name English only for this operation. Both values must be supplied explicitly; do not use en or en_US as the language name.

Find App Store ASO competitor candidates

Find App Store ASO competitor candidates

You receive

Start with your task

What to know

Inputs & outputs

Input schema

Result schema

Share the app link

Store and language are set

Check whether the apps are similar

Questions about this tool.

You receive

Start with your task

What to know

Inputs & outputs

Input schema

Result schema

Share the app link

Store and language are set

Check whether the apps are similar

Questions about this tool.

Which app identifier, market and language should I supply?

Will I get ten different competing apps?

What do the shared positions and the two metric groups mean?

Do the counts and search volumes indicate downloads or market share?

How current and complete is this candidate list?