Ecommerce & Retail Data

Both ecommerce and retail organizations rely on up-to-date and reliable product, price, inventory and market data to conduct competitive research, manage product catalogs, track markets and make daily operational decisions. Worth Web Scraping will collect structured data from your designated websites and online sources, transforming publicly available ecommerce and retail information into actionable datasets for your organization. Regardless of whether you require product catalogs, price information, inventory information, reviews, ratings or competitor information, Worth Web Scraping can collect, organize, clean and provide your data in a format compatible with your workflow.

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Retail and online store websites contain a tremendous amount of information that can be cumbersome and time consuming to manually collect. Worth Web Scraping aids businesses in collecting ecommerce and retail data at scale from online stores, marketplaces, retail websites, directories and other relevant online sources. Worth Web Scraping can design its data collection efforts around the specific websites, fields, collection frequency and output format required for your project.

Worth Web Scraping collects detailed product information from ecommerce websites and online catalogs. Depending upon the source and project requirements, product data can include:

• Product name
• Product URL
• Product description
• SKU or product identifier
• Brand
• Category
• Product attributes
• Specifications
• Product images
• Product variants
• Size and color information

Worth Web Scraping collects product pricing and promotional information from your specified ecommerce and retail websites. Depending upon the source and project requirements, pricing data can include:

• Current price
• Original or list price
• Sale price
• Discount information
• Promotional offers
• Variant-level pricing
• Product-level pricing

Worth Web Scraping’s collected pricing data can assist with competitor research, pricing analysis, market research and product tracking.

Worth Web Scraping collects publicly displayed availability information from your specified ecommerce websites. Depending upon the source, this may include:

• In-stock or out-of-stock status
• Availability messages
• Variant availability
• Size availability
• Color availability
• Stock-related information displayed on product pages

Worth Web Scraping collects publicly accessible review and rating information from your specified ecommerce websites. Depending upon the source, data may include:

• Review text
• Rating
• Review date
• Publicly displayed reviewer information
• Product associated with the review
• Review count
• Rating summaries

Worth Web Scraping’s collected review data can assist with product research, customer feedback analysis and market intelligence.

Worth Web Scraping collects product and market information from competitor websites and other online retail sources. You can utilize Worth Web Scraping’s collected data to compare:

• Products
• Prices
• Product ranges
• Categories
• Brands
• Promotions
• Availability
• Product features
• Reviews and ratings

The resulting dataset can be organized for analysis, internal databases, reporting or integration with your existing systems.

The data needs of ecommerce and retail businesses vary greatly. A project may involve gathering information from a small number of websites or creating a recurrent dataset from multiple sources. Common data needs include:

Worth Web Scraping will collect product and pricing information from your designated competitor websites for market and pricing analysis.

Worth Web Scraping will create structured product catalogs from online stores and retail websites.

Worth Web Scraping will collect publicly accessible product, seller, pricing, availability, review and category information from your designated online marketplaces.

Worth Web Scraping will collect selected product information on an ongoing basis to help maintain an up-to-date dataset.

Worth Web Scraping will gather product, brand, category, pricing and other relevant information from multiple online sources.

Gathering the information is merely one aspect of the process. The collected data must also be arranged in a consistent and usable format. Worth Web Scraping’s ecommerce data collection process can include:

1. Source Identification — You designate the websites, product categories, pages or other data sources required for your project.
2. Data Field Definition — Worth Web Scraping defines the fields required for your dataset based upon your business requirements.
3. Data Collection — Worth Web Scraping gathers data from your designated websites and online sources.
4. Data Structuring — Collected information is arranged in a consistent structure.
5. Data Cleaning — Where necessary, data can be cleaned and prepared for usage.
6. Data Delivery — The completed dataset can be delivered in an acceptable format such as CSV, Excel, JSON, API or database.

For Ecommerce Worth Web Scraping can perform either recurring or one-time data collection. Generally most Ecommerce businesses need of recurring data for their business as Ecommerce data is continuously changes.

One-time data collection can be beneficial for:

• Market research
• Product research
• Competitor analysis
• Catalog development
• Business analysis
• Internal databases

Recurring data collection is beneficial when selected ecommerce or retail information requires regular updates. Recurring projects can be developed depend on how frequently data need to be refreshed and from which source data to be collected. The exact collection strategy utilized will depend upon the websites being scraped, your data requirements and overall project scope.

Worth Web Scraping can arrange your collected ecommerce and retail data based on your preferred workflow. Possible delivery formats include:

• CSV
• Excel
• JSON
• API
• Database

The structure of your output can be tailored around the fields and format required by your business.

Ecommerce & Retail Data for Various Business Units Worth Web Scraping’s ecommerce and retail data can be useful to several units within your organization.

Product catalogs, specifications, categories and variant information can be utilized by Product Teams for product research and catalog-related workflows.

Pricing, discounts and promotional information can be utilized by Pricing Teams for competitor and market analysis.

Product, brand, category and market information from selected online sources can be utilized by Market Research Teams.

Can receive structured datasets in formats compatible with databases, APIs, analytics systems and internal applications.

Organized web data can be utilized by Business Teams for research purposes, comparison purposes, tracking purposes and business analysis purposes.

Manually collecting information from multiple ecommerce websites can be time-consuming and difficult to scale due to frequent changes in product catalogs, pricing information and availability. Utilizing a structured data collection process can aid organizations in:

• Reducing manual data collection
• Organizing information from multiple sources
• Maintaining consistency among datasets
• Supporting recurring data requirements
• Making collected information easier to analyze
• Integrating web data with internal systems

The specific advantages realized by using structured web data will depend upon the sources being scraped, the types of data fields being scraped, the frequency of scraping and how the scraped data will ultimately be used.

Contact Worth Web Scraping and indicate which websites you need data from, what information you want collected and how you want the completed dataset delivered. Worth Web Scraping will evaluate your needs and determine an optimal data collection strategy for your project.

Request a Data Collection Project