E-COMMERCE WEB SCRAPING
E-Commerce Web Scraping for Catalogs, Pricing & Product Data.
Extract structured product data from online stores and marketplaces — including catalog listings, prices, discounts, availability, reviews, and product attributes. Built for pricing intelligence, catalog enrichment, competitor monitoring, and market research across any e-commerce source.
- Product, price & availability
- Category & listing crawls
- Ratings, reviews & BSR data
- API, database, CSV & JSON delivery
OVERVIEW
E-commerce web scraping for pricing, catalog, and product intelligence.
E-commerce is one of the most data-rich verticals on the web — and one of the most competitive. Product catalogs change constantly, prices fluctuate with demand and promotions, availability shifts with stock, and reviews accumulate over time. For retailers, brands, and marketplaces, having accurate, current data across the competitive landscape is a core business requirement.
Our e-commerce web scraping workflows collect structured product data at the scale your business needs — from individual product pages to entire category crawls across multiple online stores and marketplaces. Each workflow is engineered around the specific structure of your target sites: product listing pages, filters, variants, bundle relationships, dynamic pricing, and location-aware availability.
The result is a unified dataset that maps product data across sources into a single schema — ready for pricing intelligence, catalog enrichment, competitor monitoring, demand analysis, or any downstream system your team relies on.
CAPABILITIES
What our e-commerce web scraping service can extract.
Every workflow is built around your target sources and the exact product data fields your business requires.
Product catalogs
Full catalog data — SKUs, titles, brands, categories, descriptions, attributes, and images.
Pricing & discounts
Current price, list price, MRP, discount percentage, currency, and location-specific pricing.
Ratings & reviews
Average rating, rating distribution, review counts, and review text where exposed.
Availability & stock
In-stock status, stock counts where exposed, delivery estimates, and seller information.
Attributes & variants
Colour, size, material, dimensions, and variant relationships (parent/child SKUs).
Category crawls
Navigate category structures, filters, paginated listings, and best-seller pages.
Price history tracking
Record prices on schedule to build historical datasets for trend analysis and monitoring.
Multi-source unification
Combine product data from multiple stores and marketplaces into one consistent schema.
WORKFLOW
A structured approach to e-commerce web scraping.
FIELDS
Define exactly what you need.
E-commerce workflows can output any combination of product fields your source exposes. Below are the most commonly requested categories.
| FIELD | TYPE | EXAMPLE |
|---|---|---|
| title | String | Wireless Noise-Cancelling Headphones |
| brand | String | Example Brand |
| sku | String | WH-210-BLK |
| category | String | Electronics › Headphones |
| attributes | Object | {"colour":"Black","weight":"280g"} |
| images | Array[URL] | Product image URLs |
| description | Text | Full product description |
| current_price | Number | 2499 |
| list_price | Number | 3999 |
| discount_percent | Decimal | 37.5 |
| currency | String | INR |
| availability | String | In Stock |
| delivery_estimate | String | Tomorrow, 10 AM |
| average_rating | Decimal | 4.5 |
| total_ratings | Integer | 12482 |
| rating_distribution | Object | {"5":8200,"4":2400,…} |
| reviews_count | Integer | 2431 |
| source | String | example-store.com |
| product_url | URL | https://…/product/123 |
| captured_at | Datetime | 2026-10-02T09:00:00Z |
| checksum | String | Record hash |
Field availability depends on the source and page structure. Custom field mapping is available for any schema.
DELIVERY
Get the output where you need it.
E-commerce scraping workflows deliver through the format, destination, and frequency your team already works with.
SAMPLE OUTPUT
See the output before you scale.
A sample dataset lets you review fields, structure, and level of detail before committing to a full production workflow.
| product_url | image | price | title | category | rating | availability |
|---|---|---|---|---|---|---|
| https://example-store.com/product/wireless-headphones-210 | https://cdn.example-store.com/img/wh-210.jpg | ₹2,499.00 | Wireless Noise-Cancelling Headphones | Electronics › Headphones | 4.5 out of 5 | In Stock |
| https://example-store.com/product/running-shoes-m | https://cdn.example-store.com/img/rs-114.jpg | ₹3,299.00 | Running Shoes M — Lightweight | Apparel › Footwear | 4.3 out of 5 | In Stock |
| https://example-store.com/product/air-fryer-4l | https://cdn.example-store.com/img/af-4l.jpg | ₹5,999.00 | Air Fryer 4L Digital | Home › Kitchen | 4.4 out of 5 | Out of Stock |
| x | x | x | x | x | x | x |
| x | x | x | x | x | x | x |
EXPLORE MORE
Related services and solutions.
Product Data Extraction
Build structured product datasets from retailers, marketplaces, and brand sites.
Explore Service →
Competitor Price Monitoring
Track competitor pricing, buy-box ownership, and promotions across marketplaces.
Explore Service →
Website Scraping Services
General-purpose website scraping for static and dynamic sources.
Explore Service →
Real-Time & Scheduled Scraping
Run recurring e-commerce data collection on daily, hourly, or custom schedules.
Explore Service →
Web Data APIs
Expose e-commerce scraped data through APIs designed around your application.
Explore Service →
E-Commerce Data Solutions
Complete data workflows for pricing, catalog, and demand intelligence.
Explore Solution →
FAQ
E-Commerce Web Scraping — frequently asked questions.
What is e-commerce web scraping?
E-commerce web scraping is the process of extracting structured product data — including titles, prices, availability, images, attributes, and reviews — from online stores and marketplaces. The output is a clean dataset your team can use for pricing intelligence, catalog enrichment, competitor monitoring, or analytics.
Which e-commerce sites can you scrape?
We can scrape most online retail sources — including single-brand stores, multi-brand retailers, marketplaces, and category listings — subject to the source's public accessibility and legal constraints. Each source is evaluated during the analysis phase.
Can you extract data for an entire product catalog?
Yes. We can build category crawls and listing navigation workflows that collect data across entire product catalogs, including paginated listings, filters, and category hierarchies.
Can you track price history over time?
Yes. Recurring workflows record pricing on your schedule and build a historical dataset that supports trend analysis, promotion tracking, and dynamic pricing decisions.
Can you handle product variants (colour, size, etc.)?
Yes. We map parent products to their variants (colour, size, model) and can output either a flat dataset with one row per variant or a nested structure with parent-child relationships.
Can you combine data from multiple e-commerce sites into one dataset?
Yes. We normalize product data from multiple sources into one consistent schema, so downstream systems receive uniform records regardless of how each source presented the data.
How is the data delivered?
Data can be delivered through REST APIs, JSON, CSV, Excel, direct database inserts, scheduled feeds, cloud storage, or custom integrations.
Can e-commerce scraping run on a schedule?
Yes. Workflows can run once, daily, hourly, or on fully custom schedules, with automated delivery into your chosen destination.
What does the pricing include?
Pricing covers source analysis, catalog analysis, workflow development, sample validation, ongoing monitoring, deduplication, schema validation, and delivery through your chosen format.
Can I request a sample before committing?
Yes. We provide a sample dataset for a defined scope so you can review the fields, structure, and level of detail before scaling.
Need e-commerce web scraping built around your sources?
Tell us which online stores or marketplaces you want to extract from, the product fields you need, and how often the data should refresh. Our team will design a workflow around your requirements.