# Amazon & Shopify Review Pain-Point & Ad Hook Miner | MCP & AI (`ultra-liquid/ecom-review-pain-miner`) Actor Cluster product and SaaS reviews into quantified engineering failure modes, severity matrices, and ready-to-launch Meta/TikTok direct-response ad hooks. - **URL**: https://apify.com/ultra-liquid/ecom-review-pain-miner.md - **Developed by:** [Vadim Polansk](https://apify.com/ultra-liquid) (community) - **Categories:** AI, E-commerce, Marketing - **Security:** Limited permissions - **Stats:** 5 total users, 4 monthly users, 100.0% runs succeeded, 3 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $40.00 / 1,000 verified defect cluster & direct-response ad hook packs This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README ## 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-in `0.34ms` neural 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`) ```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`) ```json { "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`) ```python from apify_client import ApifyClient client = 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 ```bash 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.'" ] }' ``` # Actor input Schema ## `items` (type: `array`): List of URLs, company domains, or text excerpts to fetch, filter via the 0.34ms Borz S4.5 neural gate, and enrich into structured JSON. ## Actor input object 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.'" ] } ``` # Actor output Schema ## `dataset` (type: `string`): No description ## `overview` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const 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.'" ] }; // Run the Actor and wait for it to finish const run = await client.actor("ultra-liquid/ecom-review-pain-miner").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input 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.'", ] } # Run the Actor and wait for it to finish run = client.actor("ultra-liquid/ecom-review-pain-miner").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "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.'\''" ] }' | apify call ultra-liquid/ecom-review-pain-miner --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,ultra-liquid/ecom-review-pain-miner" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/nBwbHn1kZq9vYKR17/builds/87hDMfXuIDkZqYNIU/openapi.json