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.

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

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

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

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

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.

📩 Email Us:
✉️ info@iwebdatascraping.com

📞 Call or WhatsApp:
📱 +1 (424) 377-7584

Source>> https://www.iwebdatascraping.com/multi-source-inventory-scraping-new-website-integration.php