Scrape product data from any e-commerce site with a dataLayer
by eloquent_mountain
Extract clean e-commerce product data directly from a site's dataLayer. Bypasses layout changes and cookie walls, outputting structured JSON/CSV for APIs and analysis.
Opens on Apify.com
About Scrape product data from any e-commerce site with a dataLayer
Tired of wrestling with HTML selectors that break every time an e-commerce site updates its layout? If the site uses a dataLayer for Google Analytics or a tag manager, there's a better way. This actor taps directly into that structured data layer, pulling out clean, consistent product information like titles, prices, SKUs, and categories exactly as the site itself defines them. It bypasses the messy front-end, which means it often gets around cookie consent walls, too. You get the complete product dataset output in JSON, CSV, or other standard formats, ready for analysis, price monitoring, or feeding your own systems. I use it as a reliable API endpoint for projects where I need stable e-commerce data feeds without constant maintenance. It's perfect for developers building comparison tools, marketers tracking competitor pricing, or anyone who needs to aggregate product data from multiple stores that implement this common tech stack. Just point it at a product URL, and it handles the rest, turning a complex scraping job into a simple data fetch.
What does this actor do?
Scrape product data from any e-commerce site with a dataLayer is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.
Key Features
- Cloud-based execution - no local setup required
- Scalable infrastructure for large-scale operations
- API access for integration with your applications
- Built-in proxy rotation and anti-blocking measures
- Scheduled runs and webhooks for automation
How to Use
- Click "Try This Actor" to open it on Apify
- Create a free Apify account if you don't have one
- Configure the input parameters as needed
- Run the actor and download your results
Documentation
Product Data Scraper for dataLayer
Scrapes product information from e-commerce websites that implement a dataLayer, commonly used with Google Analytics. Provide page URLs, and the actor extracts product data. It can also function as an API for system integration.
Key Features
- Targeted Extraction: Specifically designed to parse product data from the website's
dataLayerJavaScript object. - Batch Processing: Accepts one or multiple URLs in a single run.
- API Ready: Output is structured for easy integration as an API endpoint.
- Cookie Wall Handling: Includes guidance for dealing with cookie consent popups that may block data access.
How to Use
- Input: Enter the URL(s) of the product listing or detail pages you want to scrape into the actor's input field.
- Run: Start the actor. It will navigate to the pages and extract available product data from the
dataLayer. - Troubleshooting: If no data is returned, a cookie wall is likely the cause. Use the provided configuration option to add a CSS selector to simulate clicking a cookie acceptance button.
- Output: View results in the Apify dataset. For a complete view of all data columns, export the dataset to CSV, as the Apify UI may not display every column initially.
Input/Output
Input:
The actor requires a list of starting URLs. Configure other options like proxy usage or cookie consent selectors as needed within the Apify platform.
Output:
The actor outputs a dataset where each item typically represents a product, containing structured fields scraped from the dataLayer. Common fields include:
* productName
* productId / sku
* price
* category
* brand
* availability
The exact schema varies based on the specific implementation of the dataLayer on the target site.
Use Cases
Common applications include price monitoring, competitor analysis, market research, product catalog updates, and feeding data into BI tools, pricing algorithms, or inventory systems.
Legal & Ethical Note
You are responsible for complying with the target website's robots.txt file and Terms of Service, as well as relevant data protection laws (e.g., GDPR). Avoid sending excessive requests that could overload the website's servers.
Categories
Common Use Cases
Market Research
Gather competitive intelligence and market data
Lead Generation
Extract contact information for sales outreach
Price Monitoring
Track competitor pricing and product changes
Content Aggregation
Collect and organize content from multiple sources
Ready to Get Started?
Try Scrape product data from any e-commerce site with a dataLayer now on Apify. Free tier available with no credit card required.
Start Free TrialActor Information
- Developer
- eloquent_mountain
- Pricing
- Paid
- Total Runs
- 1,570
- Active Users
- 377
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