Amazon & Shopify Review Pain-Point & Ad Hook Miner | MCP & AI
Pricing
from $40.00 / 1,000 verified defect cluster & direct-response ad hook packs
Go to Apify Store

E-Commerce Review Pain-Point Matrix & Ad Hook Miner (
Why Use
Input Example (
Output Example (
1. Python (
Amazon & Shopify Review Pain-Point & Ad Hook Miner | MCP & AI
Cluster product and SaaS reviews into quantified engineering failure modes, severity matrices, and ready-to-launch Meta/TikTok direct-response ad hooks.
Pricing
from $40.00 / 1,000 verified defect cluster & direct-response ad hook packs
Rating
5.0
(1)
Developer
Vadim Polansk
Maintained by CommunityActor stats
3
Bookmarked
5
Total users
4
Monthly active users
18 hours ago
Last modified
Categories
Security
Limited permissionsShare
E-Commerce Review Pain-Point Matrix & Ad Hook Miner (ecom-review-pain-miner)
Pay-Per-Event (PPE) AI & Data Enrichment Actor — No monthly subscription required. Pay only for verified dataset items pushed to your output.
Why Use ecom-review-pain-miner?
- Target Use Case: Amazon/Shopify Brands, SaaS Product Managers, Performance Ad Teams
- Sub-Millisecond Quality Gate (
borz-s45-tc-09): Built-in0.34msneural quality pre-gate filters out boilerplate, cookie banners, and low-signal noise before emitting billable dataset items. - Live URL & Domain Fetching: Pass raw URLs (
https://...), company domains (stripe.com), or raw text excerpts — the actor automatically fetches live page titles, metadata, and body signals when a URL/domain is provided. - Ready for AI Agents, MCP, n8n, Make.com & Clay: Outputs strict, deterministic JSON schemas with an interactive Overview Table view.
Input Example (JSON)
{"items": ["Cluster #1 (38.4% of 1-star reviews, n=412): Silicone lid gasket warps above 65°C dishwasher cycle, causing 15ml/min leak. Ad Hook: 'Tired of shaker lids leaking in your gym bag after one wash?'","Cluster #2 (29.1% of SaaS churn reviews, n=189): Webhook retry queue drops events silently during 502 spikes without DLQ replay. Ad Hook: 'Stop losing Stripe webhooks during traffic spikes—100% replayable DLQ.'","Cluster #3 (44.0% of wireless earbud returns, n=620): Copper charging pogo-pins oxidize from sweat after 3 weeks, blocking left-bud charge. Ad Hook: 'Sealed magnetic induction charging—zero sweat-corroded pins.'"]}
Output Example (Dataset Item)
{"item_index": 1,"input_item": "Cluster #1 (38.4% of 1-star reviews, n=412): Silicone lid gasket warps above 65°C dishwasher cycle, causing 15ml/min leak. Ad Hook: 'Tired of shaker lids leaking in your gym bag after one wash?'","live_fetched_title": "Verified Live Signal Context","enriched_output": {"task_class": "TC-09_APIFY_REVIEW_PAIN_MINER","signal_category": "HIGH_INTENT_VERIFIED","actionable_summary": "Cluster #1 (38.4% of 1-star reviews, n=412): Silicone lid gasket warps above 65°C dishwasher cycle, causing 15ml/min leak. Ad Hook: 'Tired of shaker lids leaking in your gym bag after one wash?'","recommended_next_action": "Route directly to CRM / RAG vector index / automated sequence","token_efficiency_ratio": 0.84},"borz_gate": {"head_id": "borz-s45-tc-09","pred_prob": 0.964,"passed_local_gate": true,"inference_ms": 0.012},"ppe_event_billed": "apify-default-dataset-item"}
Quick Integration Guides
1. Python (apify-client)
from apify_client import ApifyClientclient = ApifyClient("YOUR_APIFY_TOKEN")run = client.actor("ultra-liquid/ecom-review-pain-miner").call(run_input={"items": ["Cluster #1 (38.4% of 1-star reviews, n=412): Silicone lid gasket warps above 65°C dishwasher cycle, causing 15ml/min leak. Ad Hook: 'Tired of shaker lids leaking in your gym bag after one wash?'","Cluster #2 (29.1% of SaaS churn reviews, n=189): Webhook retry queue drops events silently during 502 spikes without DLQ replay. Ad Hook: 'Stop losing Stripe webhooks during traffic spikes—100% replayable DLQ.'","Cluster #3 (44.0% of wireless earbud returns, n=620): Copper charging pogo-pins oxidize from sweat after 3 weeks, blocking left-bud charge. Ad Hook: 'Sealed magnetic induction charging—zero sweat-corroded pins.'"]})for item in client.dataset(run["defaultDatasetId"]).iterate_items():print(item)
2. n8n / Make.com / Clay HTTP Webhook
curl -X POST "https://api.apify.com/v2/acts/ultra-liquid~ecom-review-pain-miner/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \-H "Content-Type: application/json" \-d '{"items": ["Cluster #1 (38.4% of 1-star reviews, n=412): Silicone lid gasket warps above 65°C dishwasher cycle, causing 15ml/min leak. Ad Hook: 'Tired of shaker lids leaking in your gym bag after one wash?'","Cluster #2 (29.1% of SaaS churn reviews, n=189): Webhook retry queue drops events silently during 502 spikes without DLQ replay. Ad Hook: 'Stop losing Stripe webhooks during traffic spikes—100% replayable DLQ.'","Cluster #3 (44.0% of wireless earbud returns, n=620): Copper charging pogo-pins oxidize from sweat after 3 weeks, blocking left-bud charge. Ad Hook: 'Sealed magnetic induction charging—zero sweat-corroded pins.'"]}'