DataForSEO Brain

Play: Ecommerce Product Research

4 min read

Play: Ecommerce Product Research

Combine Amazon/Google Shopping product data, Amazon keyword demand from Labs, and app-store reviews into product and ASO intelligence. Sits under DataForSEO Brain → Flows.

Overview

This flow assembles a product-research picture across three surfaces: marketplace SERPs and product detail (Merchant API for Amazon and Google Shopping), marketplace keyword demand (DataForSEO Labs Amazon dataset), and app discovery/reviews (App Data for Google Play and Apple App Store). It supports listing optimization, pricing analysis, competitor product mapping, and ASO.

Trigger

A seller, brand, or app publisher needs market intelligence: a new product launch, a pricing review, a listing/ASO optimization pass, or competitor product monitoring. Inputs are seed keywords, target ASINs/product URLs, and/or app ids.

Endpoints used (in order)

  • POST /v3/merchant/amazon/products/task_post then task_get/advanced/$id (Amazon keyword SERP).
  • POST /v3/merchant/amazon/asin/task_post then task_get/advanced/$id (product detail).
  • POST /v3/merchant/amazon/reviews/task_post (Amazon reviews).
  • POST /v3/merchant/google/products/live/advanced (Google Shopping products).
  • POST /v3/dataforseo_labs/amazon/related_keywords/live and /bulk_search_volume/live (Amazon demand).
  • POST /v3/app_data/google/app_reviews/task_post and /v3/app_data/apple/app_reviews/task_post (ASO reviews).

Pipeline

  1. Map the marketplace SERP: post Amazon products for the seed keyword (depth default 100, max 700; max_crawl_pages max 7; optional sort_by, price_min/price_max, department). Parse items[] (amazon_serp, amazon_paid, editorial_recommendations) for rank, title, price, ASIN, rating, delivery info.
  2. Pull product detail for the top ASINs via Amazon asin to get full attributes, pricing, and seller data; cross-reference Google Shopping with merchant/google/products for the same products across that surface.
  3. Read reviews: post Amazon reviews for the target ASINs to capture rating distribution and review text for sentiment and feature gaps.
  4. Size keyword demand: run Labs Amazon related_keywords (depth 0-4; depth 4 yields up to ~1,554 ideas, each with search_volume) and bulk_search_volume to score the keyword universe for listings/PPC.
  5. For apps, pull app_reviews (Google Play and Apple) to mine rating, review_text, helpful_count, app version, and developer responses for ASO and roadmap signals; add app searches/listings for ranking context.
  6. Synthesize: a product/competitor matrix (price, rating, review volume, keyword coverage) plus an ASO/listing keyword list and a review-driven feature backlog.

Cost & cadence

  • Merchant Amazon Products/Sellers: Standard 0.002, Live 0.0015, Priority 0.005. Google Shopping products: Standard 0.002; reviews $0.00075/10 reviews.
  • App Data reviews are cheap per batch: Google Play 0.00075/50 reviews (Standard); app Info $0.0006/result.
  • Labs Amazon demand endpoints bill about 0.0101 (bulk_search_volume) per request (cost-log).
  • Cadence: keyword/competitor research on demand; price and review monitoring daily or weekly.

Output

A product-research pack: marketplace competitor matrix, product/pricing detail, Amazon keyword demand list, and a review-mined sentiment + feature-gap report for listings and ASO.

Pitfalls / limits

  • Merchant and App Data review/product endpoints are task-based: budget for the post-then-collect latency; results are free to re-collect for 30 days.
  • Amazon products billing is per 40 results returned; reviews bill per 10 (Amazon/Shopping) or per 50/150 (Apple/Google Play) items, so depth drives cost.
  • Labs Amazon related_keywords location support is limited to United States, Egypt, Saudi Arabia, and UAE (typically US/English); it is not global.
  • Google Play review title is always null; do not rely on it.
  • Marketplace data reflects the queried location_code/language_code and se_domain; keep them consistent when comparing across runs.

Decisions in play

  • dec-which-api-for-which-job: Merchant for marketplace SERP/product/review data, Labs Amazon for keyword demand, App Data for ASO reviews.
  • dec-live-vs-standard-vs-priority: Merchant and App Data support Standard task-based collection; use it for scheduled monitoring and reserve Live for spot checks.
  • dec-cost-control-strategy: billing scales with depth and result count (per 40 products, per 10/50/150 reviews), so cap depth to what you actually analyze.

Sources

Graph View

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