Case Study

Real-Time API Infrastructure for Product & Pricing Intelligence

Background

A B2B SaaS company providing pricing optimization and product intelligence tools to retail brands and suppliers approached us with a growing operational challenge. Their platform helped clients track competitor prices, monitor distributor availability, and benchmark product positioning across multiple regions.

However, their internal data team was reaching a breaking point: they manually scraped dozens of websites and copied results into spreadsheets multiple times a day.

The issue was scale and reliability. None of the 12 target competitor or distributor websites offered APIs, yet these sites were critical for daily pricing insights. Some were national distributor portals with gated sessions, others were dynamically rendered B2B marketplaces with constantly shifting layouts.

Each had its quirks: differing product naming conventions, unstructured product detail pages, inconsistent stock update timing, and in some cases, advanced anti-bot protections. Errors, gaps, and delays in manual scraping were slowing down their client-facing platform and limiting visibility into real-time product changes.

The client asked Datamam to convert websites into real-time pricing API, build a robust, automated system that would replace their manual workflows and deliver clean, up-to-date product data to their internal analytics dashboard and client applications.

Their requirements included:

A unified JSON-based API with multiple endpoints, one per data source

Support for filtering by brand, category, and region

Data refreshed every 30 minutes for real-time tracking

Fields: product name, SKU, price, availability, region, timestamp

Output compatible with their internal dashboard and third-party clients

Historical snapshots of price changes for trend analysis

By having access to comprehensive, up-to-date, and accurate data about events and ticket listings across multiple platforms, they could provide their customers with the most competitive ticket prices and availabilities.

+
Websites Converted into API
K+
Product Records Processed Daily
Min
Data Update Frequency Across Endpoints

Impact

Datamam built a production-ready multi-source API layer that integrated seamlessly into the client’s internal tools and offered real-time visibility into product availability, price fluctuations, and competitive positioning.

We eliminated the need for manual scraping, converting websites into API-enabled dynamic market monitoring, and allowed the client’s pricing analysts and account managers to access clean, queryable data via secure API endpoints.

By aiding the processing of over 30 million ticket listings and delivering reliable, real-time data, our solution significantly augmented the client’s return on investment. Our approach enhanced the client’s capacity to respond swiftly to market fluctuations. Consequently, this led up to a 18% increase in customer satisfaction. 

This resulted in:

80% reduction in manual effort

Faster price match and trend analysis

Improved client experience through up-to-date reports

Better internal decision-making on pricing adjustments and inventory management

Challenges & Solutions

Challenge

Websites Without APIs

Most target websites weren’t designed for structured data access. They relied on dynamic pagination, JavaScript rendering, and inconsistent page layouts, making manual or automated scraping unreliable and inconsistent.

Solution

Site-Specific Extraction Scripts

To combat the sophisticated anti-bot systems employed by data sources, we developed a bespoke scraper. This system is equipped with mechanisms designed to ethically and successfully bypass such anti-bot protections.

Challenge

Session Management and Login Flows

Some websites required login access using multi-step authentication. Managing sessions, cookies, and rotating credentials became an obstacle to maintaining data continuity and consistency across sessions.

Solution

Automated Session Handling

We replicated each site’s login sequence, securely stored active tokens, and reused sessions when possible. Sites needing frequent login resets used rotating credentials to ensure uninterrupted scraping.

Challenge

Anti-Bot Protection

Advanced anti-bot defenses like rate limits, CAPTCHA challenges, and IP fingerprinting consistently disrupted the client’s efforts to access data from key websites at scale. Causing detection and blocking.

Solution

Adaptive Access Strategy

We deployed rotating proxies, introduced variable pacing and human-like browser behavior, and integrated CAPTCHA-solving solutions. Each domain’s scraping behavior was fine-tuned to reduce detection and blocking.

Challenge

Data Volume and Update Frequency

Scraping 500,000+ product records every 30 minutes created technical strain. The system had to handle high throughput while ensuring freshness and preventing overload.

Solution

Load-Balanced Crawling Framework

Each source was broken into smaller jobs with staggered timing. We prioritized new or updated entries using change detection and managed concurrency with an intelligent queuing system.

Challenge

Structuring the API

The client needed a scalable, filterable API that delivered clean product data to dashboards and external tools, along with historical pricing views.

Solution

Unified API with Versioning

We delivered a RESTful API with support for filters by SKU, brand, region, and more. Endpoints returned structured JSON with metadata, versioning, and change flags.

Key Takeaways

Adaptability in Data Extraction

Customized extraction logic is critical for handling unique site structures and access restrictions.

Flexible Authentication Handling

Session and identity management must be built with flexibility for each site’s authentication model.

Workflow-Aligned API Design

API design needs to align with how the data will be used in business workflows.

Efficient, Change-Aware Scraping

Change-aware scraping reduces system load while preserving freshness.

Robust Infrastructure for Stability

Resilient infrastructure is key to ensuring reliable access to dynamic, anti-bot-protected sources.

Conclusion

This project demonstrated how Datamam can convert websites into real-time pricing API, turning them into powerful, high-frequency tools even when no structured access is available. Our solution replaced a patchwork of manual workflows with an automated, scalable platform for product and pricing intelligence.

The final system delivered real-time product data to internal and client-facing dashboards, creating faster insights and stronger strategic decisions. The client now relies on this system as a foundation for market monitoring and pricing analytics.

Take Action Now

We unlock data’s ability to transform.

Unlock the power of data to drive innovation, optimize operations, and make smarter decisions with Datamam’s comprehensive, integrated solutions.

Book a Discovery Call