Ecommerce Scraper – For “View More” Button Stores

BrowserAct Ecommerce Scraper – For “View More” Button Stores is a powerful, no-code tool that automates scraping product lists on eCommerce sites with "View More" buttons for titles, prices, URLs, and images, allowing you to scrape ecommerce data effortlessly without manual clicks. It solves the frustration of repeated button presses, enabling sellers, marketers, researchers, and analysts to catalog products, monitor prices, analyze listings, and gain a competitive edge through automated extraction.

Purpose of Ecommerce Scraper

Key Benefits of Using Ecommerce Scraper

This ecommerce scraper helps you automate data collection from "View More" button layouts to make smarter decisions. Here's what it delivers:

• Streamline Product Loading: Effortlessly handle "View More" buttons to scrape data from ecommerce websites, including titles, prices, and images without manual clicks, saving hours of effort.
• Uncover Catalog Trends: Discover items in eCommerce stores and optimize strategies by extracting structured data like prices and URLs from various search keywords.
• Gain Competitive Edge: Achieve an advantage with AI-driven insights, including field suggestions for data not available in other ecommerce scrapers.
• Enable Analysis: Perform precise pricing and inventory analysis with customizable extraction as an ecommerce scraper for "View More" stores.
• Boost Growth: Enhance sales and research efficiency by turning raw eCommerce product data into actionable reports on how to scrape ecommerce data effectively.

Who Should Use This Ecommerce Scraper

• eCommerce Sellers: Perfect for cataloging competitor products, monitoring prices, and spotting profitable opportunities using this ecommerce scraper.
• Marketers: Ideal for tracking trending items, images, and data to refine strategies across "View More" catalogs.
• Researchers: Great for analyzing product patterns, pricing, and insights in various eCommerce sites with button-based loading.
• eCommerce Analysts: Useful for bulk extraction to support competitive intelligence and trend forecasting with scrape data from ecommerce website capabilities.

Skill Requirements: No coding needed – just basic knowledge of web browsing to set up and run.
Usage Scenarios: Use it for daily product checks, price monitoring, catalog analysis, or generating insights for eCommerce growth.

Ecommerce Scraper Inputs, Outputs, and Capabilities

Input Parameters for Effective Ecommerce Scraping

Detailed explanation of required input parameters, presented in a table for clarity:

These parameters allow for reusable setups and quick adjustments, making your Ecommerce Scraper workflow adaptable to different tasks.

Output Data from Scraping Ecommerce

Explanation of the workflow's output data format and content:

Data fields include:

• Title: Captures the product title for identification.
• Price: Extracts the numerical price as numbers only.
• Product URL: Provides the full URL to the product detail page.
• Image URL: Records the full URL of the main product image shown above the title (the large hero image).

If you want more output data (e.g., descriptions or variants), you can customize the workflow to include them. Output supported formats: JSON, CSV, Excel, XML, ideal for easy download and integration after you scrape ecommerce data.

Scope and Limitations of the Ecommerce Scraper

• Supported Websites/Platforms: Specifically designed for eCommerce sites with "View More" button product lists, supporting searches and catalog extractions to scrape data from ecommerce website.
• Data Types: Structured product data, including titles, prices, URLs, and images via an ecommerce scraper.
• Data Scale: Suitable for small-scale (dozens of products) to large-scale (hundreds) eCommerce scraping, depending on credit usage.

How to Build Your Ecommerce Scraper Workflow: Step-by-Step

Step 1: Parameter Setup

• Target_URL: "https://joybird.com/" (you can replace with any "View More" button eCommerce site).
• Search_Keyword: Search term (default: "Sofa"; you can modify to others like "Chair").
• Data_Limit: Maximum items to collect (default: 60; adjust for more data).

Input Parameters:

• target_url: "https://joybird.com/"
• search_keyword: "Sofa"
• data_limit: 60

Use default values for quick runs, such as keeping Target_URL as "https://joybird.com/" for testing without manual changes.

Step 2: Search & Navigation

• Visit Page Prompt: Visit /Target_URL – This opens the eCommerce site to begin the scraping process.
• Click to Close Pop-ups Prompt: If a pop-up appears, click the X in the top-right corner to close it; if no pop-up appears, skip this step. – This handles and dismisses any initial promotional or cookie pop-ups that might block access to the search functionality.
• Click Element Prompt: Click the search icon or the "Search" button. – This activates the search bar for inputting the keyword.
• Input Prompt: Input /Search_Keyword in the search bar and then press Enter to search. – This enters the desired keyword and submits the query to load the initial product results.
• Wait Node: Wait 10 seconds – This pauses to ensure the search results fully load before proceeding.
• Click Element Prompt: Click "Results" text, skip this step if fails. Only click once. – This navigates to the results view if available, ensuring the product list is displayed.

Step 3: Loop and Collect Data

• Loop Action: Continue until no more load more pagination button appears when reaching the end of list.
• • Scroll Prompt: Scroll down one page.
  • Click Prompt: Click pagination 'Show All' button if available, otherwise click 'Load More' button. If neither exists, take no action.

• Extract Data: Extract from products: Title, Price, Product URL, Image URL.
• • Format:
  • • Prices as numbers only;
    • Product URL must be the full URL of the product detail page;
    • Image URL must be the full URL of the main product image shown above the title (the large hero image).
  • Collection Range: Keep the first /Data_Limit items.

Step 4: Data Export

• Output Setup: Add "Finish: Output Data" action, select CSV format, and enable "Output as a file" for direct download.

• Publish and Run: Click "Publish" to save, then go to "Run" section, adjust parameters if needed, and click "Start".
• Download Results: Once complete, download the CSV file with your scraped eCommerce data.

Quick Start Guide: How to Use Ecommerce Scraper in One Click

If you don't want to build the workflow from scratch, simply use our pre-built "Ecommerce Scraper – For “View More” Button Stores" template for instant setup and start scraping eCommerce effortlessly.

1. Register Account: Create a free BrowserAct account using your email.
2. Configure Parameters: Fill in necessary inputs like Search_Keyword (e.g., "Sofa") – or use defaults to learn how to scrape ecommerce data quickly.
3. Start Execution: Click "Start" to run the workflow.
4. Download Data: Once complete, download the results file from scraping eCommerce.

Common Scenarios for Using Ecommerce Scraper

Business Use Cases for Scraping Ecommerce Data

• Product Research: Use the ecommerce scraper to catalog products for inventory planning and trend spotting.
• Price Monitoring: Scrape ecommerce data for competitors' pricing and images.
• Catalog Analysis: Extract data to analyze listings and URLs.
• Market Insights: Identify eCommerce data to evaluate trends and opportunities.

Technical Integrations for Advanced Ecommerce Scraping

• API Calls: Integrate via API into third-party automation platforms like Make or n8n for seamless eCommerce scraping.
• Scheduled Tasks: Set up regular runs to automate reports on how to scrape data from ecommerce website.
• Data Pipelines: Connect with analysis tools (e.g., Google Sheets or BI software) for ongoing data flow.

Get Accurate Results: Select the Scraper That Fits Your Site Layout

Before getting started, please make sure to identify how the product listings are displayed on the eCommerce site you want to scrape. Different websites use different loading methods, and we provide three dedicated no-code scraper templates to match:

• 👉 Shopify Scraper – For Infinite Scroll eCommerce Stores: Products load automatically as you scroll down the page.
• 👉 Shopify Scraper – For Paginated eCommerce Stores: Product listings are split across multiple pages with a “Next page” button.
• 👉 Ecommerce Scraper – For “View More” Button Stores: Products load only when clicking a “View More” or “Load More” button.

Choose the template that matches your target site’s layout to ensure accurate and complete data extraction.

Get Started with Scraping Ecommerce Websites Now

🚀 Start using it today!

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• Try This Workflow - Free trial

Custom Ecommerce Scraper – For “View More” Button Stores Solutions

💡 Need a customized workflow?

If the existing Shopify Scraper – For Paginated eCommerce Stores doesn't fully meet your needs, we offer custom development services:

• 📧 Email Contact: service@browseract.com
• 💬 Discord Community: Join our Discord