Logo
  • Cases & Projects
  • Developers
  • Contact
Sign InSign Up

Here you can add a description about your company or product

© Copyright 2025 Makerkit. All Rights Reserved.

Product
  • Cases & Projects
  • Developers
About
  • Contact
Legal
  • Terms of Service
  • Privacy Policy
  • Cookie Policy
Automated Web Data Extraction and Market Intelligence System for Competitive Analysis
  1. case
  2. Automated Web Data Extraction and Market Intelligence System for Competitive Analysis

Automated Web Data Extraction and Market Intelligence System for Competitive Analysis

deltologic.com
Automotive
eCommerce
Business services

Identifying Data Collection Challenges for Competitive Market Insights

The client faces difficulty in collecting and analyzing large volumes of competitive product data across multiple complex websites, leading to incomplete or outdated market intelligence that hampers strategic planning. They require an automated solution to gather, standardize, and analyze millions of data points efficiently, while overcoming access restrictions and complex website forms.

About the Client

A large automotive manufacturer seeking to improve strategic decision-making through detailed market and competitor data analysis.

Objectives for a Robust Data Extraction and Analysis Platform

  • Develop an automated web scraping system capable of gathering over 12 million unique data points from multiple competitor websites.
  • Create scalable and asynchronous data collection processes utilizing multiple machines with rotation of IP addresses and proxies to prevent access restrictions.
  • Implement data standardization, aggregation, and storage in cloud databases via ETL pipelines to ensure data consistency and accessibility.
  • Provide insights into competitor pricing, product features, and market trends to inform strategic decisions and maintain competitive advantage.
  • Ensure the system can operate continuously with an automated pipeline for real-time or scheduled data updates.

Core Functional Requirements for Data Collection and Analysis System

  • Custom web scrapers tailored to multiple competitor websites, able to handle complex forms with numerous permutations.
  • IP rotation and proxy management to prevent access restrictions and ensure uninterrupted data collection.
  • Asynchronous multi-machine operation with multiple concurrent scraping processes (~250 crawlers) for high-volume data retrieval.
  • ETL pipeline for data standardization, aggregation, and loading into cloud databases.
  • Data analysis modules to derive pricing insights, product feature identification, and market demand trends.
  • Automated reporting tools for real-time or scheduled insights delivery.

Preferred Technologies and Architectural Approaches

Automated web scraping frameworks supporting custom parsers
Proxy rotation and IP management solutions
Asynchronous processing infrastructure
Cloud-based databases and storage (e.g., cloud data warehouses, object storage)
ETL tools for data transformation and loading
Data analysis and visualization platforms

External System Integrations Needed for Data Pipeline

  • Competitor websites with complex form structures
  • Proxy and IP rotation services
  • Cloud database and storage solutions
  • Reporting and visualization tools for dashboard creation

Non-Functional System Requirements for Performance and Security

  • System scalability to handle over 12 million data points and 250 concurrent scrapers
  • High data accuracy and completeness through robust data cleaning
  • Compliance with robots.txt and website scraping rules
  • Secure handling of proxy data and sensitive information
  • Automated scheduling and error recovery mechanisms

Expected Business Impact of the Data Extraction System

The implementation of this automated, scalable web scraping and market intelligence platform is expected to enable the client to analyze tens of millions of competitive data points efficiently, identify pricing and feature trends, and gain real-time market insights. This will facilitate more informed strategic decisions, improve competitiveness in the automotive market, and reduce data collection time and resource expenditure, leading to enhanced market positioning and proactive planning.

More from this Company

Development of an Automated Marketplaces Monitoring and Dynamic Repricing System
Development of a Fully Automated Vehicle Auction Platform with Real-Time Data Integration
Automated E-commerce Order Fulfillment and Integration System
Integration and Automation of Marketplace Data via Custom API Solutions for E-commerce Vendors
Automated Compliance Monitoring System for E-Commerce Account Management