Ecommerce Data Scraping

Our fully managed ecommerce data scraping services assist you in gathering structured ecommerce product data from online stores, marketplaces and retail websites. We collect product title, pricing, availability, category, review, rating, seller and other publicly accessible information your business needs and deliver it in a clean structured format.

Our ecommerce web scraping service can be customized to suit your required fields, websites, volume and delivery format whether you need data from one ecommerce website or multiple sources.

Ecommerce websites contain a lot of product and market information, which can be useful for research, pricing analysis, product comparison, catalog management and competitive intelligence.

When you need thousands of products or data from multiple websites, collecting this information manually can be difficult. Our ecommerce data scraping service automates the collection process and converts publicly available ecommerce data into structured datasets that your team can use for analysis and business operations.

Based on your needs we can extract data from product pages, category pages, search results, listing pages and other publicly available ecommerce pages.

See how ecommerce data scraping collects product, price, availability, and review information from ecommerce websites and turns it into structured data for analysis.

The available fields depend on the target website and your requirements. Some of the most common ecommerce data fields include:

• Product name
• Product URL
• Product ID
• SKU
• Brand
• Category
• Subcategory
• Product description
• Product specifications
• Product attributes
• Product images
• Product variations
• Color and size information
• Regular price
• Currency
• Discount details
• Availability
• Stock status
• Seller details
• Shipping details
• Customer reviews
• Review count
• Product ratings
• Product rankings
• Breadcrumbs
• Other custom fields for your project

We can also tailor the dataset to include specific ecommerce fields that are not part of a standard extraction, if required.

Product information is one of the most valuable datasets on ecommerce websites.

Our ecommerce product data scraping service can gather product details like titles, descriptions, categories, specifications, images, SKUs, product URLs, variants, prices, and availability.

The product data collected can be cleaned and organized into a structured dataset for product research, catalog management, comparison, marketplace analysis or other business needs.

Do you need to collect detailed product information? Our Product Data Extraction service may be what you are looking for.

Product prices change often at online stores and marketplaces. By collecting pricing information over time, businesses can get an idea of the market pricing and compare products across different ecommerce sources.

We can scrape publicly available pricing information such as:

• Product pricing
• Sale price
• Discounted price
• List price
• Currency
• Product availability
• Seller price
• Public display of promotional prices

If the project is specifically to monitor prices and price changes, our Price Scraping and Price Monitoring Services can provide a more specialized solution.

Availability and stock information helps analyze ecommerce products and market conditions.

We can extract publicly available information such as, depending on the publishing style of the target website:

• In-stock/out-of-stock status
• Availability information
• Quantity information when displayed publicly
• Availability of product by variant
• Size availability
• Color availability
• Other stock indicators that are visible to the public

The information can then be combined with product and pricing data to create a more complete ecommerce dataset.

Customer reviews and ratings can provide useful information about customers’ response to products.

Where available to the public, ecommerce data scraping can collect information such as:

• Product rating
• Number of ratings
• Review title
• Review text
• Review date
• Review score
• Product/variant information
• Other public review attributes

Review datasets can be used for product research, consumer feedback analysis, sentiment analysis and market research.

According to your project requirements, we can gather publicly available e-commerce data from online stores and marketplaces.

We work with ecommerce data from a wide range of online stores and marketplaces, with collection requirements tailored to each project.

The exact data fields, volume, frequency and website coverage depend on the needs of each project.

We are also able to offer customized ecommerce data extraction solutions for larger marketplace-specific requirements.

Competitive Price Analysis

Gather product and price data from other ecommerce sites to benchmark pricing, discounts, product availability & product assortment.

Compare Products

Create structured datasets of products from multiple ecommerce websites and compare product features, prices, ratings and availability.

Price Surveillance

Observe product prices that are publicly displayed over time to identify price changes and market trends.

Product catalog research

Collect product names, descriptions, categories, specifications, images, and any other information that is available to the public to assist with catalog research and analysis.

Market Intelligence

Analyze product listings, sellers, prices, ratings, reviews and availability on online marketplaces.

Market & Product Research

Research products, categories, brands, pricing patterns and market offerings using structured ecommerce datasets.

Review and rating analysis

Collect publicly available reviews and ratings for insights into consumer input and perception of the product.

Ecommerce Competitor Intelligence

Compile product, pricing, availability, review, and seller information to create a broader view of the ecommerce market.

Learn how businesses use ecommerce data for competitive intelligence, competitor price analysis, product research, availability monitoring, and better-informed business decisions.

1. Identify Your Data Needs
   Specify the websites you want to collect data from and the fields you need. Before starting a project, we determine the number of pages, data fields, volume, and collection requirements.
2. Setting up the Data Collection
   We develop and set up the right process for data collection for the target ecommerce websites. The approach depends on structure of the website, data needs, scale and collection frequency.
3. Gather Ecommerce Data
   We collect publicly available information from the chosen ecommerce sources and pages. According to the project requirements, the collection can cover product pages, category pages, search results, listings and other relevant public pages.
4. Clean and organize the data
   Raw website information is processed and structured into a dataset. We can identify duplicate records, invalid URLs, missing information and other data quality issues based on the project requirements.
5. Data Delivery
   The final data set can be supplied in the format required for your workflow. Depending on the project, delivery formats may include:
   • CSV
   • Microsoft Excel
   • JSON (JavaScript Object Notation)
   • XML
   • Database
   • API or data feed

Ecommerce data scraping can be used for many product categories and industries, such as:

• Fashion and clothing
• Electronics
• Consumer durables
• Grocery
• Beauty and cosmetics
• Health & Wellness
• Household & Furniture
• Auto and Auto Parts
• Sport & Fitness
• Baby Products
• Jewelry and other accessories
• Products for retail
• B2B Ecommerce

The data fields can be customized according to the requirement of the website and business.

Building and maintaining an ecommerce data collection system can require ongoing technical work, especially when websites have different structures or change their page layouts.

With a managed service, your team can specify the data needs and we handle the technical collection and data-processing work.

This can be helpful when you require:

• Large-scale product datasets
• Data from multiple ecommerce sites
• Custom data fields
• Continuous data collection
• Structured and clean output
• Product and pricing datasets
• Datasets for review and rating
• Data ready for analysis or business use

All ecommerce websites are different. Some websites provide simple product pages whereas others include multiple product variants, dynamic pricing, category structures, seller info, reviews and other features.

So we can modify the extraction to the target websites and the fields you need for your project.

You can provide sample URLs, required fields and target websites, and the right approach for data collection can be defined.

The collected information can be structured according to your requirements.

The fields and data structure can be customized for your project.

It may be a one-time ecommerce dataset or an ongoing data collection process as per your requirement.

Depending on the project, data can be collected on a defined schedule so your team is getting the latest information without manually collecting the same ecommerce data over and over again.

Recurring requirements are especially helpful for projects on product catalogs, pricing, availability, competitive research and market monitoring.

Specify the ecommerce data you need, the websites you want it collected from and how you want the final dataset to be delivered.

Let us help you define the required fields, collection scope, output structure and delivery requirements for your ecommerce data scraping project.

If you already have sample URLs and required fields, please share them with us so that we can understand your data requirements.

We can gather publicly available ecommerce data such as product names, descriptions, categories, prices, availability, variants, images, ratings, reviews, seller data and other fields available on target websites.

Yes. The collection of publicly available product pricing information can be based on the target website and project specifications.

Depending on the structure of the website, review information can be collected including review text, ratings, titles and dates if reviews are publicly accessible.

Yes. Ecommerce data collection projects can span multiple websites. The fields and collection process can be customized per source.

Depending on the project, data can be supplied in formats such as CSV, Excel, JSON, XML, database, API or any other agreed format.

Yes. For projects needing frequent updates to product, pricing, availability or other publicly accessible information, recurring data collection can be set up.

Yes. The dataset can be tailored to the fields you need for your project and the information publicly available on the target websites.

Yes, depending on the project and the target website, publicly accessible information may include personal data. We scope data collection according to the project requirements and applicable laws, website terms, and other relevant restrictions.

Got an ecommerce data need?

Please provide our team with your target websites, sample URLs, required fields, expected volume and preferred output format.

Get in touch with Worth Web Scraping to discuss your ecommerce data scraping requirement.