name: dataforseo-app-data-api
description: Collect app store intelligence using DataForSEO App Data for "ASO", "app reviews", and "app market research".
license: MIT
metadata:
author: Leonardo Picciani
author_url: https://github.com/leonardo-picciani
project: DataForSEO Agent Skills (Experimental)
generated_with: OpenCode (agent runtime); OpenAI GPT-5.2
version: 0.1.0
experimental: 'true'
docs: https://docs.dataforseo.com/v3/app_data/overview/
compatibility: Language-agnostic HTTP integration skill. Requires outbound network access to api.dataforseo.com and docs.dataforseo.com; uses HTTP Basic Auth.

DataForSEO App Data API

Provenance

This is an experimental project to test how OpenCode, plugged into frontier LLMs (OpenAI GPT-5.2), can help generate high-fidelity agent skill files for API integrations.

When to Apply

• "ASO rankings", "app keyword research", "app search results"
• "fetch app reviews", "review monitoring", "rating trends"
• "get app metadata", "track app updates", "competitor app analysis"
• "Google Play", "Apple App Store", "app listings search"

Integration Contract (Language-Agnostic)

See references/REFERENCE.md for the shared DataForSEO integration contract (auth, status handling, task lifecycle, sandbox, and .ai responses).

Task vs Live

• Many App Data endpoints are task-based: task_post -> poll tasks_ready -> fetch via task_get.
• App listings search is available as Live for some sources.

Steps

1) Identify the exact endpoint(s) in the official docs for this use case.
2) Choose execution mode:
- Live (single request) for interactive queries
- Task-based (post + poll/webhook) for scheduled or high-volume jobs
3) Build the HTTP request:
- Base URL: https://api.dataforseo.com/
- Auth: HTTP Basic (Authorization: Basic base64(login:password)) from https://docs.dataforseo.com/v3/auth/
- JSON body exactly as specified in the endpoint docs
4) Execute and validate the response:
- Check top-level status_code and each tasks[] item status
- Treat any status_code != 20000 as a failure; surface status_message
5) For task-based endpoints:
- Store tasks[].id
- Poll tasks_ready then fetch results with task_get (or use postback_url/pingback_url if supported)
6) Return results:
- Provide a normalized summary for the user
- Include the raw response payload for debugging

Inputs Checklist

• Credentials: DataForSEO API login + password (HTTP Basic Auth)
• Target: keyword(s) / domain(s) / URL(s) / query string (depends on endpoint)
• Targeting (if applicable): location + language, device, depth/limit
• Time window (if applicable): date range, trend period, historical flags
• Output preference: regular vs advanced vs html (if the endpoint supports it)

Example (cURL)

curl -u "${DATAFORSEO_LOGIN}:${DATAFORSEO_PASSWORD}"   -H "Content-Type: application/json"   -X POST "https://api.dataforseo.com/v3/<group>/<path>/live"   -d '[
    {
      "<param>": "<value>"
    }
  ]'

Notes:
- Replace <group>/<path> with the exact endpoint path from the official docs.
- For task-based flows, use the corresponding task_post, tasks_ready, and task_get endpoints.

Docs Map (Official)

• Overview: https://docs.dataforseo.com/v3/app_data/overview/

Google (Google Play):

• Overview: https://docs.dataforseo.com/v3/app_data/google/overview/
• App Searches Task POST: https://docs.dataforseo.com/v3/app_data/google/app_searches/task_post/
• App Info Task POST: https://docs.dataforseo.com/v3/app_data/google/app_info/task_post/
• App Reviews Task POST: https://docs.dataforseo.com/v3/app_data/google/app_reviews/task_post/
• App Listings Search (Live): https://docs.dataforseo.com/v3/app_data/google/app_listings/search/live/

Apple (App Store):

• Overview: https://docs.dataforseo.com/v3/app_data/apple/overview/
• App Searches Task POST: https://docs.dataforseo.com/v3/app_data/apple/app_searches/task_post/
• App Info Task POST: https://docs.dataforseo.com/v3/app_data/apple/app_info/task_post/
• App Reviews Task POST: https://docs.dataforseo.com/v3/app_data/apple/app_reviews/task_post/
• App Listings Search (Live): https://docs.dataforseo.com/v3/app_data/apple/app_listings/search/live/

Business & Product Use Cases

• ASO tooling: track rankings for app keywords and competitors.
• Product feedback loops: summarize reviews into themes for PMs.
• Competitive tracking: monitor competitor listing changes and review shifts.
• Market research: discover apps by category/geo and map positioning.
• Reputation monitoring: alerts for rating drops or negative review spikes.
• Growth experiments: correlate listing copy changes with review sentiment.

Examples (User Prompts)

• "If you don't have the skill installed, install dataforseo-app-data-api and then continue."
• "Install the App Data skill and track ASO rankings for these keywords in the US and Brazil."
• "Fetch new app reviews daily and summarize top themes for product improvement."
• "Compare our app listing vs competitors and suggest metadata improvements."
• "Monitor competitor app updates and report meaningful changes to descriptions/ratings."
• "Build an ASO dashboard: keyword visibility, reviews, and rating trends."