Consumer Brands & D2C

Direct-to-consumer (D2C) brands rely on their own websites, online retail channels, marketplaces, and other digital sources to showcase products and connect with customers. As such, product catalogs, pricing, availability, promotions, reviews, and competitor information can vary significantly across these channels. Worth Web Scraping will collect structured data from the websites and online sources that you designate to create a dataset for your business based on publicly available consumer brand and D2C information. Whether you require competitor product data, pricing information, catalog information, product availability, reviews or market research data, we can gather, organize, clean, and provide the data in a manner that integrates into your current workflow.

Request a Data Collection Project

Consumer brands frequently wish to understand how products are showcased, priced, and positioned throughout their own websites, competing brands’ sites, retailer sites, and marketplaces. We assist businesses in gathering D2C and consumer brand data from a select group of websites and online sources. We can design projects around specific brands, product categories, websites, products, fields, collection frequencies, and output specifications. The specific type of data that is obtainable will depend upon what each source makes public and the specifications and limits of the project.

Gather comprehensive product information from D2C brand websites, online stores, retailer websites, and other selected sources. Data collected will vary depending upon the source and project specifications, however, typically includes:

• Product Name
• Product URL
• Product Description
• SKU or Product Identifiers
• Brand
• Category and Subcategory
• Product Attributes
• Specifications
• Product Images or Image URLs
• Product Variants
• Size and Color Information
• Materials or other Publicly Displayed Product Attributes

Gather pricing and promotion-related information from a select group of D2C brand websites, retailers, and other online sources. Data gathered can include:

• Current Price
• Original or List Price
• Sale Price
• Discount Information
• Promotional Offers
• Coupon Information where Publicly Displayed
• Variant-Level Pricing
• Product-Level Pricing
• Currency
• Compare-At or Reference Price where Displayed

Pricing Data Collected Can Be Used for Competitor Research, Pricing Analysis, Promotion Monitoring, Market Research, and Product Monitoring.

Gather publicly displayed availability information from a select group of D2C and Consumer Brand 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
• Delivery or Availability Information Where Publicly Displayed

Inventory quantities are not assumed unless the Source Publicly Displays Them.

Gather publicly accessible review and rating information from a select group of Brand Websites, Retailers, Marketplaces, and Other Relevant Sources. 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
• Review Titles
• Publicly Displayed Review Attributes

Review Data Can Be Used for Product Research, Customer Feedback Analysis, Product Development Research, and Market Intelligence.

Gather Product and Market Related Information from a Select Group of Competing Consumer Brands and Other Relevant Online Retail Sources. You Can Use Data Gathered to Compare:

• Products
• Prices
• Product Ranges
• Categories
• Brands
• Product Features
• Variants
• Promotions
• Availability
• Reviews and Ratings
• Product Positioning Information

Consumer Products Can Appear Across a Brand’s Own Website, Marketplaces, Retailers, and Other Sales Channels. Where Publicly Displayed, Information from These Sources Can Be Gathered and Organized for Comparison. Data Gathered Can Include:

• Product Listing Information
• Channel-Specific Prices
• Availability
• Product Titles and Descriptions
• Product Attributes
• Ratings and Reviews
• Seller or Retailer Information Where Displayed
• Category Placement
• Publicly Displayed Promotional Information

Track a Select Group of Consumer Brands and Product Catalogs to Identify Changes in Assortment and Product Availability. Depending Upon the Source, a Project Can Include:

• New Product Listings
• Product Additions
• Product Removals
• Category Changes
• New Variants
• Product Availability Changes
• Price Changes
• Promotional Changes

Gather Product and Pricing Related Information from a Select Group of Competing Brands, Retailers, and Marketplaces for Pricing and Market Analysis.

Create Structured Datasets of Competitor Products, Categories, Specifications, Variants, Pricing, and Publicly Displayed Product Related Information.

Track a Select Group of Brands and Product Catalogs to Identify New Products, Discontinued Products, Assortment Changes, and Product Updates.

Gather Select Pricing, Discount, Coupon, and Promotional Related Information on a Recurring Basis Where the Source Publicly Displays It.

Compare How a Select Group of Products Are Presented Across Brand Websites, Retailers, and Marketplaces Using the Fields Relevant to Your Project.

Gather Publicly Accessible Reviews and Ratings from a Select Group of Sources to Support Product Research, Competitor Analysis, and Customer Feedback Analysis.

Gather Product, Brand, Category, Pricing, Review, and Availability Related Information from Multiple Online Sources to Support Consumer Market Research.

Gathering Consumer Brand Related Information Is Only Part of the Process. Different Websites Can Use Different Structures, Product Identifiers, Categories, Variants, and Pricing Formats. Our D2C Data Collection Process Can Include:

Source Identification, Data Field Definition, Data Collection, Data Structuring and Cleaning, Data Matching and finally Data Delivery in suitable way and format.

A One-Time Consumer Brand Dataset Can Be Useful For:

• Market Research
• Product Research
• Competitor Analysis
• Catalog Creation
• Product Assortment Research
• Business Analysis
• Internal Databases

Recurring Collection Is Useful When a Select Group of Consumer Brand or D2C Related Information Needs to Be Refreshed Regularly. Recurring Projects Can Be Designed Around the Required Collection Frequency, Sources and Data Fields. The Exact Collection Approach Depends on the Websites, Data Requirements and Project Scope.

We Can Organize Gathered Consumer Brand and D2C Related Data According to Your Preferred Workflow. Possible Delivery Formats Include:

• CSV
• Excel
• JSON
• API
• Database

The Output Structure Can Be Defined Around the Fields and Format Required by Your Business.

Use Product Catalogs, Specifications, Categories, Variants and Competitor Product Related Information For Product Research and Assortment Related Workflows.

Use Pricing, Discounts, Promotions and Publicly Displayed Channel Related Information For Competitor and Market Analysis.

Gather Product, Category, Promotional, Review and Competitor Related Information To Support Market and Campaign Research.

Gather Product, Brand, Category, Pricing, Availability and Review Related Information From a Select Group of Online Sources.

Receive Structured D2C Datasets in Formats Suitable For Databases, APIs, Analytics Systems and Internal Applications.

Use Organized Consumer Brand Related Data To Support Research, Comparison, Monitoring, Reporting and Business Analysis.

Consumer Brand Related Information Can Change Frequently Across Products, Prices, Promotions, Availability, Reviews and Product Assortments. Manually Gathering Related Information From Multiple Websites Can Become Time-Consuming and Difficult to Maintain Consistently. A Structured Data Collection Process Can Help Businesses:

• Reduce Repetitive Manual Data Collection
• Organize Related Information from Multiple Sources
• Maintain Consistent Product Datasets
• Support Recurring Data Requirements
• Compare a Select Group of Products and Competitors
• Track Product and Assortment Changes
• Make Gathered Related Information Easier to Analyze
• Integrate Web Data with Internal Systems

The Exact Benefits Depend on the Sources, Data Fields, Collection Frequency, Matching Requirements and Intended Use of the Project.

Tell Us Which Brand Websites, Retailers, Marketplaces or Other Online Sources You Need Related Data From, What Type of Related Information You Want to Gather and How You Want the Final Dataset Delivered. We Can Review Your Requirements and Determine an Appropriate Data Collection Approach for Your Project.

Request a Data Collection Project