Amazon listing competitor analysis skill

--- name: amazon-listing-competitor-analysis-skill description: "Thisskill helps users analyze Amazon competitor listings by ASIN and generate structured competitive intelligence, as well as strategic opportunities for their own go-to-market strategy. The Agent should proactively apply thisskill when users want to analyze a competitor’s Amazon listing by ASIN, understand what a top-ranked product does right in terms of content keywords or visuals, find market gaps and unmet buyer needs, turn competitor research into opportunity maps for their brand, identify keyword placement patterns on rival listings, extractSEO insights from Amazon product pages, reverse-engineer competitors’ bullet point and title strategies, analyze competitor reviews to understand buyer psychology, compare seller and A+ content patterns, conduct gap analysis before launching a new SKU, investigate why a listing performs well in terms of conversion signals, identify market opportunities you can capitalize on compared to the analyzed listing, or simply examine this ASIN from a competitive or optimization perspective." metadata: {"openclaw":{"emoji":"🌐","requires":{"bins":["python"],"env":["BROWSERACTAPIKEY "]}}} --- # Amazon Listing Competitor Analysis ## 📖 Brief Thisskill runs a two-phaseworkflow on a single competitor Amazon listing. Phase 1 uses the BrowserAct Amazon Listing Extractor forSEO template to pull visible product data from that listing. Phase 2 identifies what that competitor does well and where the market has gaps, then concludes with your strategic opportunity points (how you can compete effectively against them). Do not end with instructions that sound like editing or rewriting this competitor’s listing; the analyzed ASIN is for reference only. The final narrative output should be grounded in extracted data, not generic claims. ## ✨ Features 1. No hallucinations, ensuring stable and accurate data extraction: Pre-setworkflows , avoid AI-generated hallucinations. 2. No CAPTCHA issues: No need to deal withreCAPTCHA or other verification challenges. 3. No IP restrictions or geo-blocking: No need to deal with regional IP restrictions or geofencing. 4. Faster execution: Tasks execute faster compared to purely AI-driven browser automation solutions. 5. Extremely high cost-efficiency: Significantly reduces data acquisition costs compared to AI solutions that consume massive amounts of tokens. ## 🔑 Guide to theAPI Key Before running, you must check the `BROWSERACT_API_KEY environment variable. If it is not set, do not take any other actions first; you should ask the user to provide it and wait for their response. **The agent must inform the user**: > "Since you haven't configured the BrowserActAPI Key yet, please go to the [BrowserAct Console](https://www.browseract.com/reception/integrations ) to get your Key." ## 🛠️ Input Parameters When calling the script, the Agent should flexibly configure the following parameters based on user needs: 1. **ASIN** - **Type**:string - **Description**: The ASIN (Amazon Standard Identification Number) of the Amazon product to analyze. - **Example**:B0CS62LY6P - **Required**: Yes 2. **Marketplace_url ** - **Type**:string - **Description**: The baseURL of the Amazon marketplace. Use the correct regional site for the listing. - **Example**:https://www.amazon.com/, https://www.amazon.de/ - **Default**:https://www.amazon.com/ ## 🚀 Invocation Method Run Phase 1 extraction using the script below. After structured data is returned, the Agent performs Phase 2 analysis using the framework in **Competitive Analysis Framework (Phase 2)**. The concluding section must summarize **opportunities for the user’s business**, not a checklist of edits applied to the competitor page under review. `bash python -u ./scripts/amazon_listing_competitor_analysis.py "B0CS62LY6P" "https://www.amazon.com/" When only the ASIN is needed, the marketplace argument may be omitted; the script defaults to https://www.amazon.com/. ### ⏳ Running Status Monitoring Since this task involves automated browser operations, it may take a long time (several minutes). The script will **continuously output status logs with timestamps** while running (e.g., [14:30:05] Task Status: running`).