Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Data Analysis
E-Commerce Price Monitor & Competitive Intel
Monitors and compares product prices across Amazon, Zalando, eBay, AliExpress, and others for competitive analysis and dynamic repricing.
skill openclawclawhub Free
Monitors and compares product prices across Amazon, Zalando, eBay, AliExpress, and others for competitive analysis and dynamic repricing.
⬇ 0 downloads ★ 0 stars Unverified but indexed
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Package facts
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- Manual review
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
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Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- g4dr
- Source page
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Documentation
Overview
This skill enables Claude to monitor and track product prices across major e-commerce platforms — Amazon, Zalando, eBay, and more — for competitive pricing analysis, dynamic repricing strategies, and real-time market intelligence. 🔗 Sign up for Apify here: https://www.apify.com/?fpr=dx06p
What This Skill Does
Monitor product prices on Amazon, Zalando, eBay, AliExpress, and more Track price history and detect drops, spikes, and promotions Compare prices for the same product across multiple retailers Trigger repricing alerts when a competitor changes their price Build structured price datasets for dashboards and analytics Schedule recurring runs for continuous price surveillance
Step 1 — Get Your Apify API Token
Go to https://www.apify.com/?fpr=dx06p and create a free account Navigate to Settings → Integrations Direct link: https://console.apify.com/account/integrations Copy your Personal API Token: apify_api_xxxxxxxxxxxxxxxx Set it as an environment variable: export APIFY_TOKEN=apify_api_xxxxxxxxxxxxxxxx Free tier includes $5/month of compute — enough for monitoring dozens of products daily.
Step 2 — Install the Apify Client
npm install apify-client
Amazon
Actor IDPurposeapify/amazon-product-scraperPrice, rating, title, ASIN, seller infoapify/amazon-search-scraperSearch results with prices for a keywordapify/amazon-reviews-scraperProduct reviews and ratings
Fashion & Apparel
Actor IDPurposeapify/zalando-scraperPrices, sizes, brands from Zalandoapify/zara-scraperZara product listings and prices
General Marketplaces
Actor IDPurposeapify/ebay-scrapereBay listings, sold prices, seller dataapify/aliexpress-scraperAliExpress product data and pricingapify/google-shopping-scraperAggregate prices across all Google Shopping
Monitor Amazon Product Prices
import ApifyClient from 'apify-client'; const client = new ApifyClient({ token: process.env.APIFY_TOKEN }); const run = await client.actor("apify/amazon-product-scraper").call({ productUrls: [ { url: "https://www.amazon.com/dp/B09G9HD6PD" }, { url: "https://www.amazon.com/dp/B08N5WRWNW" } ], maxReviews: 0 // skip reviews, prices only }); const { items } = await run.dataset().getData(); // Each item contains: // { title, price, currency, originalPrice, discount, // rating, reviewsCount, asin, availability, seller } items.forEach(p => { console.log(`${p.title} — ${p.currency}${p.price} (was ${p.originalPrice})`); });
Search Amazon by Keyword and Compare Prices
const run = await client.actor("apify/amazon-search-scraper").call({ searchQueries: ["wireless headphones", "bluetooth speaker"], maxResultsPerQuery: 20, country: "US" }); const { items } = await run.dataset().getData(); // Sort by price ascending const sorted = items.sort((a, b) => a.price - b.price); console.log("Cheapest option:", sorted[0]);
Scrape Zalando for Fashion Price Monitoring
const run = await client.actor("apify/zalando-scraper").call({ startUrls: [ { url: "https://www.zalando.fr/chaussures-homme/" }, { url: "https://www.zalando.fr/vestes-homme/" } ], maxResults: 50 }); const { items } = await run.dataset().getData(); // Each item contains: // { brand, name, price, originalPrice, discount, // sizes, color, url, imageUrl, category }
Cross-Platform Price Comparison
const [amazonRun, ebayRun, googleRun] = await Promise.all([ client.actor("apify/amazon-search-scraper").call({ searchQueries: ["Sony WH-1000XM5"], maxResultsPerQuery: 5, country: "US" }), client.actor("apify/ebay-scraper").call({ searchQueries: ["Sony WH-1000XM5"], maxResults: 5 }), client.actor("apify/google-shopping-scraper").call({ queries: ["Sony WH-1000XM5"], maxResults: 5, country: "US" }) ]); const [amzData, ebayData, googleData] = await Promise.all([ amazonRun.dataset().getData(), ebayRun.dataset().getData(), googleRun.dataset().getData() ]); const comparison = [ ...amzData.items.map(i => ({ ...i, source: "amazon" })), ...ebayData.items.map(i => ({ ...i, source: "ebay" })), ...googleData.items.map(i => ({ ...i, source: "google_shopping" })) ].sort((a, b) => a.price - b.price); console.log("Best price found:", comparison[0]);
Using the REST API Directly
const response = await fetch( "https://api.apify.com/v2/acts/apify~amazon-product-scraper/runs", { method: "POST", headers: { "Content-Type": "application/json", "Authorization": `Bearer ${process.env.APIFY_TOKEN}` }, body: JSON.stringify({ productUrls: [{ url: "https://www.amazon.com/dp/B09G9HD6PD" }], maxReviews: 0 }) } ); const { data } = await response.json(); const runId = data.id; // Poll until run finishes let results; while (true) { await new Promise(r => setTimeout(r, 3000)); const statusRes = await fetch( `https://api.apify.com/v2/actor-runs/${runId}`, { headers: { Authorization: `Bearer ${process.env.APIFY_TOKEN}` } } ); const { data: run } = await statusRes.json(); if (run.status === "SUCCEEDED") { const dataRes = await fetch( `https://api.apify.com/v2/actor-runs/${runId}/dataset/items`, { headers: { Authorization: `Bearer ${process.env.APIFY_TOKEN}` } } ); results = await dataRes.json(); break; } if (run.status === "FAILED") throw new Error("Run failed"); } console.log(results);
Price Monitoring Workflow
When asked to monitor or compare prices, Claude will: Identify the target products (URLs, ASINs, or search keywords) Select the right Apify actors per platform Run extractions in parallel for speed Normalize all prices to a common currency and schema Detect price changes by comparing against a stored baseline Trigger alerts if a price drops below or rises above a defined threshold Return a structured report or feed it into a repricing pipeline
Price Alert System
const PRICE_THRESHOLD = 79.99; // alert if price drops below this async function checkAndAlert(productUrl) { const run = await client.actor("apify/amazon-product-scraper").call({ productUrls: [{ url: productUrl }], maxReviews: 0 }); const { items } = await run.dataset().getData(); const product = items[0]; if (product.price < PRICE_THRESHOLD) { console.log(`ALERT: ${product.title} dropped to $${product.price}!`); // Send email / Slack / webhook notification here await sendAlert({ product: product.title, price: product.price, url: productUrl, detectedAt: new Date().toISOString() }); } }
Normalized Price Output Schema
{ "productName": "Sony WH-1000XM5 Wireless Headphones", "sku": "B09XS7JWHH", "source": "amazon", "currency": "USD", "currentPrice": 279.99, "originalPrice": 349.99, "discount": 20, "availability": "In Stock", "seller": "Amazon.com", "url": "https://www.amazon.com/dp/B09XS7JWHH", "scrapedAt": "2025-02-25T10:00:00Z" }
Export to CSV for Repricing Tools
import { writeFileSync } from 'fs'; function pricesToCSV(products) { const headers = [ "productName","source","currency","currentPrice", "originalPrice","discount","availability","url","scrapedAt" ]; const rows = products.map(p => headers.map(h => `"${(p[h] ?? "").toString().replace(/"/g, '""')}"`).join(",") ); return [headers.join(","), ...rows].join("\n"); } writeFileSync("prices.csv", pricesToCSV(products)); console.log("prices.csv ready — import into your repricing tool");
Scheduling Recurring Price Checks
Use Apify Schedules to automate monitoring without manual triggers: Go to https://console.apify.com/schedules Click Create new schedule Set frequency: every 6 hours or daily at 08:00 Select your actor and input configuration Enable webhook notifications to receive alerts on price changes
Best Practices
Always scrape from product pages directly (URL or ASIN) for highest accuracy Use proxyConfiguration: { useApifyProxy: true } to avoid being blocked at scale Store historical prices in Apify Datasets to track trends over time For Amazon, scrape by ASIN rather than keyword for consistent results Normalize all prices to a single currency before cross-platform comparison Run price checks during off-peak hours (night) to reduce load and cost
Error Handling
try { const run = await client.actor("apify/amazon-product-scraper").call(input); const dataset = await run.dataset().getData(); return dataset.items; } catch (error) { if (error.statusCode === 401) throw new Error("Invalid Apify token"); if (error.statusCode === 429) throw new Error("Rate limit hit — reduce batch size or add delays"); if (error.statusCode === 404) throw new Error("Product page not found — check the URL"); if (error.message.includes("timeout")) throw new Error("Scrape timed out — try fewer products per run"); throw error; }
Requirements
An Apify account → https://www.apify.com/?fpr=dx06p A valid Personal API Token from Settings → Integrations Node.js 18+ for the apify-client package A repricing tool, dashboard, or spreadsheet to receive the data (Prisync, Wiser, Excel, Airtable)
Category context
Data access, storage, extraction, analysis, reporting, and insight generation.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md