Turn e-commerce pages into clean, usable data

Turn e-commerce pages into clean, usable data


ShopScraping scans online stores, collects product data, and organizes it for research, price monitoring, and decision-making. No coding or browser extensions required.


ShopScraping scans online stores, collects product data, and organizes it for research, price monitoring, and decision-making. No coding or browser extensions required.

Ecommerce web scraping example converting product listings into structured pricing and availability dataset.
Structured ecommerce product data fields extracted by ShopScraping: price, stock status, SKU, technical specs, and shipping information
Structured ecommerce product data fields extracted by ShopScraping: price, stock status, SKU, technical specs, and shipping information

We extract any publicly available information from product pages. Each product corresponds to a single page (URL).


Options within a page — such as size or color, when they don’t have separate URLs — are defined as variations and handled on demand.


Learn more in our Knowledge base.

We extract any publicly available information from product pages. Each product corresponds to a single page (URL).


Options within a page — such as size or color, when they don’t have separate URLs — are defined as variations and handled on demand.


Learn more in our Knowledge base.

Product Fields We Capture

Product Fields We Capture

Core Info

Title

Brand/Manufacturer

Category

Description

Specification

Pricing & Availability

Regular price

Sale price

Currency

Discount

In stock/Out of stock

Identifiers

SKU

GTIN/EAN

MPN

ISBN

Other IDs

Options

Size

Color

Condition

Package Quantity

Media

Primary image

Gallery images

Reviews & Ratings

Average rating

Review count

Custom Attributes

Any field on request

Automated Data Extraction

Automated Data Extraction

A self-learning system that adapts without manual setup

A self-learning system that adapts without manual setup

A self-learning system that adapts without manual setup

ShopScraping automatically analyzes page structure and extracts key attributes such as title, price, availability, specifications, and additional metadata.


It works across a wide range of e-commerce websites — without predefined templates or custom parsers — making it suitable for product catalog scraping at any scale.


Machine learning–driven models continuously adjust to layout changes, eliminating the need for manual selector updates or ongoing maintenance.


As websites evolve, the system keeps data extraction stable and accurate without human intervention.

ShopScraping automatically analyzes page structure and extracts key attributes such as title, price, availability, specifications, and additional metadata.


It works across a wide range of e-commerce websites — without predefined templates or custom parsers — making it suitable for product catalog scraping at any scale.


Machine learning–driven models continuously adjust to layout changes, eliminating the need for manual selector updates or ongoing maintenance.


As websites evolve, the system keeps data extraction stable and accurate without human intervention.

Ecommerce product dataset displayed in structured spreadsheet format.
Scheduled scraping — weekly price tracking dataset

Scheduled Website Crawling

Scheduled Website Crawling

Fresh insights collected on a continuous basis

Fresh insights collected on a continuous basis

Fresh insights collected on a continuous basis

The platform supports flexible web scraping schedules for continuous price tracking — from one-time runs to monthly, weekly, or daily updates — allowing you to control how often each data source is refreshed based on business needs.


An intelligent scheduling engine distributes requests over time, ensuring stable, uninterrupted data collection even at scale. Built-in retry mechanisms and failure handling guarantee high reliability and minimize gaps, so you can consistently rely on complete and up-to-date results.

The platform supports flexible web scraping schedules for continuous price tracking — from one-time runs to monthly, weekly, or daily updates — allowing you to control how often each data source is refreshed based on business needs.


An intelligent scheduling engine distributes requests over time, ensuring stable, uninterrupted data collection even at scale. Built-in retry mechanisms and failure handling guarantee high reliability and minimize gaps, so you can consistently rely on complete and up-to-date results.

High Accuracy & Quality Control

High Accuracy & Quality Control

Built-in validation, anomaly detection, and flexible attribute extraction

Built-in validation, anomaly detection, and flexible attribute extraction

Built-in validation, anomaly detection, and flexible attribute extraction

Every stage of the pipeline includes automated validation to ensure high data accuracy and consistency. The system detects anomalies, duplicates, missing values, and invalid records, preventing corrupted or incomplete information from entering your workflows.


Additional normalization and consistency checks ensure that extracted information remains accurate and well-structured, even when page layouts, formatting, or attributes representation change within the same website. This maintains a high level of precision in the final dataset.


The platform also supports custom data extraction, allowing you to define additional fields, attributes, or specific points tailored to your use case. This ensures you get exactly the records you need — not just generic product information.


The result is reliable, structured records ready for competitor price monitoring, pricing strategies, market analytics, and operational decision-making.

Every stage of the pipeline includes automated validation to ensure high data accuracy and consistency. The system detects anomalies, duplicates, missing values, and invalid records, preventing corrupted or incomplete information from entering your workflows.


Additional normalization and consistency checks ensure that extracted information remains accurate and well-structured, even when page layouts, formatting, or attributes representation change within the same website. This maintains a high level of precision in the final dataset.


The platform also supports custom data extraction, allowing you to define additional fields, attributes, or specific points tailored to your use case. This ensures you get exactly the records you need — not just generic product information.


The result is reliable, structured records ready for competitor price monitoring, pricing strategies, market analytics, and operational decision-making.

Data quality control — validated product records
Data quality control — validated product records

Multi-Format Data Export

Multi-Format Data Export

Ready for integration with your tools

Ready for integration with your tools

Ready for integration with your tools

All extracted information follows a unified schema with standardized field names, formats, and data types across all sources.


As a result, insights from different websites can be directly compared, analyzed, and integrated into your systems without manual cleanup or transformation.

All extracted information follows a unified schema with standardized field names, formats, and data types across all sources.


As a result, insights from different websites can be directly compared, analyzed, and integrated into your systems without manual cleanup or transformation.

Export data in formats ready for your workflow:

Export data in formats ready for your workflow:

Export data in formats ready for your workflow:

CSV

JSON

Excel (xlsx)

Google Sheets

CSV

JSON

Excel (xlsx)

Google Sheets

Shopify

WooCommerce

Other formats upon request

Shopify

WooCommerce

Other formats upon request

Multi-format export: CSV, JSON, Google Sheets

Get Started in Minutes

Set up your first data extraction in just a few clicks

Ecommerce product mockup showing structured data fields such as price, availability, SKU, specifications, and shipping details.

1

Enter a website URL

Add the product or website URLs you want to track. You can include product pages, categories, or competitor sites.

Selecting data fields such as price and availability in ShopScraping

2

Choose what data to extract

Select the fields you need, such as pricing, availability, or product details. Customize the dataset to match your use case.

Downloading extracted e-commerce data as CSV or JSON from ShopScraping

3

Run & get results

Receive clean data in CSV, Excel, or JSON as soon as processing is complete. Run one-time collections or schedule recurring extractions.

Clean, structured datasets for immediate use

No setup, no code. Just paste a URL and get your first dataset.

Clean, structured datasets for immediate use

No setup, no code. Just paste a URL and get your first dataset.