Multi-Source Inventory Scraping & New Website Integration

A retail-tech client wanted to aggregate product inventory from 50 different e-commerce websites into a single, unified platform. The new site had to display• Product details ,Pricing information ,Customer reviews The challenge involved two key hurdles: first, consistently scraping data from 50 diverse websites with varying formats and anti-bot defenses; second, building a new website from scratch to unify and display this data in a user-friendly, searchable interface.iWeb Data Scraping delivered a full-stack solution—from multi-site scraping pipelines to a robust front-end interface—that keeps inventory updated automatically.

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Goals-and-Deliverables

Goals and Deliverables

Objectives & Deliverables

Core objectives:

  • Scrape product details (name, description, specifications, SKU)
  • Scrape pricing data (regular, discounted, currency)
  • Scrape customer reviews (rating, review text, reviewer name, date)
  • Create a central inventory database
  • Build a responsive website from scratch to display the aggregated inventory
  • Implement search, filters, and sorting for easy navigation
  • Schedule automated scraping to keep data fresh

Key deliverables:

  • Backend scraping system with modular scrapers for 50 sites
  • Centralized product database
  • Responsive, SEO-friendly website UI
  • Admin dashboard for managing products and scraping schedules

Challenges

  • Different site structures: Each website had unique HTML layouts, requiring custom parsers
  • JavaScript-heavy content: Many sites required headless browser rendering for data extraction
  • Anti-bot measures: Rate limits, captchas, and IP blocking
  • Data consistency: Product names, categories, and attributes varied widely across sites
  • Review normalization: Different rating scales and formats
  • Freshness: Inventory and pricing change frequently; needed scheduled updates
the-challenges
Approach

Approach

Step 1: Site Mapping & Requirements Gathering

We audited all 50 target sites to determine:

  • Content structure (HTML, JSON APIs, AJAX calls)
  • Pagination and product loading methods
  • Review availability and formatting
  • Anti-bot protections

Step 2: Modular Scraper Development

  • Built 50 separate scraper modules using Python, Playwright, and BeautifulSoup
  • Extracted product details, prices, and reviews
  • Normalized review ratings to a standard 5-star scale
  • Stored images with URLs or downloaded as assets

Step 3: Data Normalization

  • Standardized product fields (title, description, price, SKU)
  • Converted currencies where needed
  • Unified category taxonomy for consistent navigation on the new site

Step 4: Inventory Database

  • Designed a PostgreSQL database to store scraped data
  • Created relations for products, reviews, categories, and sources
  • Enabled incremental updates to avoid full re-scrapes

Step 5: New Website Development

  • Frontend: React + TailwindCSS for a clean, responsive design
  • Backend: Django REST API to serve product data to the frontend
  • Features: Search bar, category filters, sort by price/rating/date, product detail pages with reviews

Step 6: Automation & Scheduling

  • Integrated Celery task queues for scheduled scraping jobs
  • Set update frequency based on each site’s refresh rate (e.g., daily for fast-moving items)

Technical Stack

  • Scraping: Python, Playwright, BeautifulSoup4, Requests, Pandas
  • Backend: Django REST Framework, PostgreSQL
  • Frontend: React, TailwindCSS
  • Task Scheduling: Celery + Redis
  • Hosting: AWS EC2 + S3 for image storage
  • Security: IP rotation, captcha-solving services (where legally permitted), rate limiting to avoid blocking
Technical-Stack

Sample Data (Illustrative)

Products CSV

Product Name SKU Category Price Discount Price Currency Rating Review Count Source Website Last Updated
UltraSoft Cotton Tee UCT-12345 Clothing > Men 19.99 14.99 USD 4.5 213 example-shop.com 2025-08-14
ProGaming Mouse X200 PGX-200 Electronics 49.99 — USD 4.7 589 techgear.com 2025-08-14

Reviews CSV

Product SKU Reviewer Name Rating Review Text Review Date Source Website
UCT-12345 John D. 5 "Super soft and comfortable." 2025-08-10 example-shop.com
PGX-200 Sarah P. 4 "Great precision, but a bit heavy." 2025-08-08 techgear.com
Dashboards Delivered

Results

  • Total products collected: 180,000+ across 50 websites
  • Reviews aggregated: 1.2M+ customer reviews
  • Website launch time: 8 weeks from project start
  • Automated updates: Daily for high-change sites, weekly for stable inventories
  • Search performance: <300ms response time for queries

Client Impact

  • Centralized inventory view: From 50 sources in one place
  • Better customer experience: Through search, filtering, and review access
  • Time savings: No manual copying of product data from source sites
  • Competitive advantage: Real-time pricing and stock updates enable quick market response
Client-Impact
Compliance

Compliance

  • Scraped only publicly available data
  • Complied with each site’s legal terms and applicable laws
  • Rate-limited scraping to avoid service disruption
  • Provided opt-out mechanism if a source requested removal

Conclusion

Through a combination of advanced web scraping, robust data normalization, and full-stack development, iWeb Data Scraping successfully delivered a unified platform that aggregates inventory, pricing, and reviews from 50 different e-commerce websites. The solution not only automated data collection but also provided a seamless, user-friendly website with powerful search and filtering features. By integrating Product Availability Services and Price Tracking Services , alongside specialized solutions like Grocery & Supermarket Data Extraction Services and Quick Commerce & FMCG Data Extraction Services , the project ensured real-time updates, scalability, and compliance with legal standards. This empowered the client with a centralized, competitive, and future-ready platform. The case demonstrates how tailored scraping pipelines combined with modern web technologies can transform fragmented data into actionable business value.

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