Brief

What Does BrowserAct Shopify Price Scraper Do?

Shopify Price Scraper is an automated data extraction tool designed to collect comprehensive pricing and product information from Shopify-powered online stores. It systematically retrieves key product data including regular prices, discounted prices, product brands, and URLs without manual effort.

Unlike manual browsing or basic web scraping tools, this specialized scraper understands Shopify's store structure and can efficiently extract structured pricing data at scale - whether you need information from a single product, an entire category, or multiple competitor stores simultaneously.

Who Can Use Shopify Price Scraper?

E-commerce Pricing Managers - Monitor competitor pricing strategies in real-time to adjust your own pricing for maximum competitiveness and profit margins
Market Research Analysts - Collect pricing trends across product categories to identify market opportunities and optimal price positioning
Dynamic Pricing Teams - Feed real-time competitor price data into repricing algorithms for automated competitive pricing strategies
Retail Buyers - Compare wholesale costs against retail prices to evaluate supplier margins and negotiate better terms

How to Build a Reddit Scraper Workflow: Step by Step

Before You Begin

This example extracts pricing data from a Shopify product page

Feel free to adjust this to your needs!

1.Start Node

Parameter Settings

Page_limit: The number of pages you want to extract is set to 2 by default.

2.Add Visit Page

Navigate to https://www.urbanoutfitters.com/new-arrivals

3.Add Loop Node

Stop condition: Until you have completed /Page_limit page turns
Max iterations: 10 (to handle products with multiple variants)

4.Scroll Page (for Pagination)

Select "Scroll to Bottom"

5.Extract Data

Select “Full Page”

Data fields to extract:

Extract for the current Page :

- Product Title

- Brand (if available)

- Current Price

- Original Price (if discounted)

- Product URL

- Image URL

Remove any currency symbols and format prices as numbers only.

Filtering Criteria

Skip products missing title or price.

6.Pagination

Select pagination method:

Next Page button (for product listing pages)

7.Output Data

The default output is in JSON format.Choose from multiple format options to suit your needs:

JSON - Perfect for pricing APIs, database imports, and real-time price monitoring dashboards
CSV - Ideal for Excel, Google Sheets, competitor price comparison matrices, and BI tools
XML - Great for enterprise ERP systems and automated pricing feeds
Markdown (MD) - Easy-to-read format for pricing reports and stakeholder presentations

Make.com /N8N Integration

BrowserAct is now available as a native app on Make.com/N8N - simply add it to your scenarios without complex API setup.

Key Features:

Automated Price Monitoring: Schedule hourly, daily, or weekly price checks across multiple competitors
Price Change Alerts: Receive instant Slack/email notifications when competitor prices drop below your threshold
Historical Price Charts: Auto-generate Google Sheets dashboards with pricing trends and competitor benchmarks
Repricing Recommendations: Get AI-powered suggestions on when to adjust your prices for maximum competitiveness
Saves Time: Automate hours of manual price checking and spreadsheet updates

Advanced Use Cases:

Pricing Strategists - Daily competitor price digest with automated margin analysis and repricing recommendations

Inventory Managers - Real-time stock status monitoring to identify competitor out-of-stock opportunities

Marketing Teams - Correlation analysis between competitor discount campaigns and your own sales performance

Finance Teams - Automated profitability reports by comparing competitor prices against your cost basis

Need Help?

Contact us at:

💬 Discord: Discord Community
📧 E-mail: service@browseract.com

55-100credits per task (estimated)