Shopify Scraper – For Infinite Scroll eCommerce Stores

Detail

BrowserAct Shopify Scraper – For Infinite Scroll eCommerce Stores is a powerful, no-code tool that automates scraping infinite scroll product lists on Shopify-powered sites for titles, prices, URLs, and images, allowing you to extract eCommerce data effortlessly without manual scrolling. It solves the tedium of handling endless loads, enabling sellers, marketers, researchers, and analysts to catalog products, monitor prices, analyze catalogs, and gain a competitive edge through automated Shopify data extraction.

Purpose of Shopify Scraper – For Infinite Scroll eCommerce Stores

Key Benefits of Using Shopify Scraper

This Shopify data scraper helps you automate product data extraction from infinite scroll pages to make smarter eCommerce decisions. Here's what it delivers:

Streamline Catalog Tracking: Effortlessly track products in infinite scroll lists, including titles, prices, and images without manual scrolling, saving hours of effort.
Uncover Product Trends: Discover popular items on Shopify 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 Shopify scrapers.
Enable Analysis: Perform precise pricing and inventory analysis with customizable extraction as a Shopify price scraper or product catalog scraper.
Boost Growth: Enhance sales and research efficiency by turning raw Shopify product data into actionable reports on how to analyze eCommerce catalogs.

Who Should Use This Shopify Scraper – For Infinite Scroll eCommerce Stores?

eCommerce Sellers: Perfect for cataloging competitor products, monitoring prices, and spotting profitable inventory opportunities.
Marketers: Ideal for tracking trending items, images, and data as a Shopify product scraper to refine marketing strategies across categories.
Researchers: Great for analyzing product patterns, pricing, and insights in various Shopify stores.
eCommerce Analysts: Useful for bulk extraction to support competitive intelligence and trend forecasting in online retail.

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.

Shopify Scraper Inputs, Outputs, and Capabilities

Input Parameters for Effective Shopify Scraping

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

Parameter	Required	Description	Example Value
Target_URL	Yes	The base URL of the Shopify-powered eCommerce site with infinite scroll product lists (do not change default unless switching sites).	"https://www.westelm.com/"
Search_Keyword	Yes	The search term to query products (e.g., "Sofa"; you can modify to others like "Chair" for different categories).	"Sofa"
Data_Limit	Yes	The maximum number of product items to collect (e.g., 20; adjust based on needs for larger datasets).	20

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

Output Data from Scraping Shopify – For Infinite Scroll eCommerce Stores

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 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 Shopify.

Scope and Limitations of the Shopify Scraper

Supported Websites/Platforms: Specifically designed for Shopify-powered eCommerce sites with infinite scroll product lists, supporting searches and catalog extractions.
Data Types: Structured product data, including titles, prices, URLs, and images via a Shopify product scraper.
Data Scale: Suitable for small-scale (dozens of products) to large-scale (hundreds) Shopify scraping, depending on credit usage.

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

Step 1: Parameter Setup

Target_URL: "https://www.westelm.com/" (you can replace with any infinite scroll eCommerce site).
Search_Keyword: Search term (default: "Sofa"; you can modify to others like "Chair").
Data_Limit: Maximum items to collect (default: 20; adjust for more data).

Input Parameters:

target_url: "https://www.westelm.com/"
search_keyword: "Sofa"
data_limit: 20

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

ecommerce scraper

Step 2: Search & Navigation

Visit Page Prompt: Visit /Target_URL – This opens the eCommerce site to begin the scraping process.
Close Pop-ups Prompt: Close any pop-up modals by clicking the close button. Continue closing if more pop-ups appear; 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.
Input Prompt: Input /Search_Keyword in the search bar in the top-left corner of the page. – This enters the desired keyword to filter and load relevant product results.
Click Element Prompt: Click the search button. – This submits the search query to display the infinite scroll product list.

shopify scraper

Step 3: Loop and Collect Data

Loop Action: Continue until /Data_Limit products are collected.

Note: The loop's maximum number of cycles can be adjusted based on your Data_Limit (e.g., for larger limits like 100, increase cycles accordingly). Higher Data_Limit means more cycles and longer runtime.

Inside Loop:

Extract Data: Extract from all products in the visible area: 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 main product image shown above the title (the large hero image).
- Data field: Visible area.
Scroll Prompt: Scroll down the page to load more products.

scrape ecommerce data

Step 4: Data Export

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

scrape data from ecommerce

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 Shopify data.

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

If you don't want to build the workflow from scratch, simply use our pre-built "Shopify Scraper – For Infinite Scroll eCommerce Stores" template for instant setup and start scraping Shopify effortlessly.

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

Browseract shopify scraper

Common Scenarios for Using Shopify Scraper

Business Use Cases for Scraping Shopify Data

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

Technical Integrations for Advanced Shopify Scraping

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