Mastering Capalyze: A Step-by-Step Guide to Scraping AliExpress Keyword Search Results

For e-commerce operations teams, mastering AliExpress competitor analysis is vital for optimizing pricing and product selection, yet complex anti-scraping policies often stall progress. This guide introduces Capalyze, a revolutionary no-code data extraction solution that bypasses technical hurdles to deliver real-time market intelligence. You will discover a seamless three-step workflow to scrape AliExpress search results and leverage built-in AI to transform raw datasets into professional, actionable strategic reports. Whether you are tracking market capacity or refining your entry price, this tutorial empowers you to automate complex web scraping and make data-driven decisions without writing a single line of code.

When conducting e-commerce competitor analysis, operations teams need real-time intelligence on Product Selection, Pricing Strategy, Market Capacity, and SEO & Keyword Mining under specific keywords like "foldable phones" or "smart home appliances." However, AliExpress’s complex dynamic loading mechanisms and increasingly strict anti-scraping policies make manual organization extremely inefficient. Meanwhile, writing custom scraping programs remains a significant technical barrier for most marketing professionals.

To address this high-frequency scenario, Capalyze offers a streamlined, no-code solution. As a visual data extraction tool designed for non-technical users, it empowers you to collect massive, accurate datasets effortlessly. Build a high-efficiency workflow from data collection to logical decision-making—no coding required.

Using the example of "Scraping AliExpress Keyword Search Lists," let’s demonstrate how to use this tool through our "Three-Step Data Collection" framework.

The Workflow

1. Input & Simulation: Simply enter the AliExpress search result URL into a Capalyze template. The tool will automatically navigate pages and collect data by simulating real human browsing behavior.

2. Structured Transformation: Unstructured information scattered across the page—such as product names, prices, review counts, and store names—is converted in real-time into a structured Excel spreadsheet, ready for price comparisons or sales trend forecasting.

3. AI Decision Support: Once collection is complete, leverage Capalyze’s built-in AI analysis features. With one click, you can generate market share reports or consumer preference charts, transforming raw data into actionable business strategies.

Step 1: Access Capalyze and Match the Extraction Template

1. Access Capalyze and Select a Dedicated Template

Upon visiting the Capalyze official site, you will notice a highly intuitive interface. We offer dozens of pre-built templates. Click on the "AliExpress Keyword Search List Scraper" to create your collection task.

2.Review the Collection Sample

As a beginner, we highly recommend reviewing the Sample Site first to align with the expected data fields. This significantly boosts data collection efficiency! Afterward, click "Start Scraping" to enter the production environment.

Example: If we are searching for refrigerators__, check the product details page first, then return to the Capalyze interface and click "Start Scraping" in the top right corner.

3. Official Extraction

In the production environment, you will see your newly created task. Define your Task Name and enter the Target URL (e.g., the search result link for refrigerators on AliExpress). Click "Run", and the automated scraping engine will launch to simulate clicks and handle pagination in the background.

Step 2: Configure the Target URL and Start Automated Extraction

1. Task Setup Using "refrigerators" as our example, copy the URL from your browser's address bar and paste it into Capalyze. Click "Run", and Capalyze will open a new window to begin the data crawl.

Note ⚠️: Ensure the existing window does not completely obstruct the new scraping window to allow the engine to render fields correctly.

2. Stop and Save Once Capalyze has collected enough data (e.g., 828 items), which meets my requirement for finding a cost-effective refrigerator, click "Stop and Save".

Step 3: Data Cleaning and AI Analysis

Once collection is finished, you can instantly invoke the AI Analysis Module. This is the core competitive advantage of Capalyze: you no longer need to manually process thousands of rows in Excel. Instead, by editing AI commands, you allow the AI to dive deep into the data layer for inference. The AI automatically performs sentiment analysis and data categorization, outputting a professional report.

1. View the Dataset After stopping the task, you can inspect the collected data, including product images, links, names, prices, promotional info, and store details. Verify that the dataset meets your standards before proceeding.

2. Initiate AI Dialogue for Data Analysis I presented three specific queries to the Capalyze AI Analyst:

（1）Help me find the most cost-effective refrigerator.

（2）Set the weight for price at 0.3, sales at 0.4, and rating at 0.3. Find the top 10 refrigerator by score and provide their product titles and prices.

（3）What is the price distribution for refrigerator? Based on this data, what is the ideal price point for me to enter the market?

3. Generate the Report Click the "Send" icon in the bottom right. Capalyze will automatically analyze each question one by one.

Once finished, you can view a comprehensive analysis report generated directly from your live data.

Within this professional report, we have secured the essential data tables for the targeted products. Capalyze delivers a professional and reliable basis for strategic decision-making. By offering diverse options that consider practical capabilities, it facilitates a seamless decision-making process for consumers, merchants, and industry researchers.

The quality of this report far exceeds that of traditional scraping tools, demonstrating the depth of an AI Data Analyst:

1. Methodological Transparency: The report does not only provide rankings but also explicitly lists the calculation formulas used. This "white-box analysis" allows operations personnel to understand the logic behind the scoring, which enhances the credibility of the conclusions.

2. Multi-dimensional Strategic Considerations: When recommending market entry prices, the report evaluates three core dimensions: "demand concentration," "competitive positioning," and "profit optimization." This shows that the AI is not just processing numbers but is simulating professional business consulting logic.

3. High Actionability: The report directly provides precise parameters such as the "optimal entry price point ($125–$150)," "gross margin target (35%)," and "manufacturing cost ceiling ($91)." This level of data granularity can be applied directly to supply chain coordination.

Advanced Tips: How to Acquire More Custom Dimensions?

If you want to study data related to specific regions, consumer reviews, or other custom dimensions, you can select the appropriate template on the Capalyze official website. Alternatively, you can manually set up a collection. In the manual collection mode, simply follow the methods described above to start collecting the data you need!

That’s all for this tutorial! We believe that through this article, even those who have never used Capalyze before should now have a basic understanding of how to collect data.

Conclusion: Even if you're a complete beginner, you can now master data collection with Capalyze. As a mature and robust data collection tool, Capalyze excels at handling complex data and big data challenges.

Ready to start? Many Capalyze scraping templates are now free to use.

Try it today and streamline your data workflow