Introduction
In Germany’s fast-paced automotive retail market, staying ahead of price changes and inventory trends is essential. A leading Berlin-based auto parts retailer selling aftermarket products for major brands like VW, BMW, and Audi struggled with fragmented data across Amazon.de, eBay Motors, and OEM sites. To improve competitiveness and streamline operations, they partnered with ArcTechnolabs. Using ready-made auto parts datasets powered by Web Scraping Services and Web Scraping API Services , the client gained structured, real-time insights into pricing, availability, and seasonal trends—fueling faster, smarter market decisions.
Client Overview
A leading auto parts retailer based in Berlin, Germany, with a growing e-commerce presence, wanted to gain a competitive edge in pricing, assortment, and inventory. They primarily sold aftermarket parts, tools, and accessories for brands like Volkswagen, BMW, Mercedes-Benz, and Audi. The key challenge was keeping pace with fluctuating prices and availability from competitors like Amazon.de, eBay Motors Germany, and original equipment manufacturer (OEM) catalogs. To solve this, they partnered with ArcTechnolabs for a ready-to-use, continually updated auto parts dataset covering the German market.
The Challenge
The client's team faced several critical issues that hindered efficient market analysis and operations. Benchmarking part prices from Amazon and eBay was entirely manual, consuming time and yielding inconsistent results. They lacked structured data to compare OEM versus aftermarket price variations effectively. There was no visibility into fast-moving SKUs or seasonal pricing trends, which limited their agility. Additionally, overlapping listings with inconsistent product naming—such as SKU, EAN, or part numbers—made comparison difficult. The absence of multilingual support, particularly for German and English metadata, further complicated the analysis. They needed Web Scraping Services to deliver a comprehensive, clean auto parts dataset to drive smarter decisions..
ArcTechnolabs Solution:
ArcTechnolabs provided a Germany-focused, ready-made auto parts dataset that is updated daily and sources data from Amazon.de, eBay Motors, Autodoc.de, and manufacturer websites. The dataset is aligned with German part number standards and includes both OEM and aftermarket structures. It is carefully structured with fields designed to support retail intelligence and product comparison. Key data points include product names in English and German, part numbers, OEM codes, EANs, brand names like Bosch and Brembo, product categories such as brakes and filters, pricing details (list and discounted), platform sources, delivery times, stock availability, seller ratings, vehicle compatibility tags, shipping fees, and return policies.
Sample Dataset Extract
| Product Name | Part No. | Brand | Platform | Price (€) | Delivery | Compatible Models |
|---|---|---|---|---|---|---|
| Brembo Brake Pads Set | P85024 | Brembo | Amazon.de | €42.90 | 2 Days | Audi A4 (2016–2022) |
| Bosch Air Filter | 1 457 433 659 | Bosch | eBay | €15.20 | 3 Days | VW Golf 7 (2013–2020) |
| Febi Bilstein Oil Filter | 32110 | Febi | Autodoc | €9.50 | 1–2 Days | Mercedes C-Class (W204) |
Key Insights Delivered
ArcTechnolabs analyzed real estate listings to reveal key regional pricing trends. Toronto averaged CAD 825/sq.ft. with 39% of listings over CAD 1M, while Vancouver was slightly higher at CAD 850/sq.ft. and 51% over CAD 1M. Calgary remained more affordable at CAD 630/sq.ft. with only 18% of listings above CAD 1M. :car: Insight: Toronto and Vancouver show luxury dominance; Calgary offers strong entry-level potential. Feature-based analysis showed that homes with renovated kitchens, EV chargers, and smart thermostats listed for 8–12% more. Listings with pro photos and video tours sold 30% faster. Keywords like “move-in ready” and “newly updated” boosted search rankings. ArcTechnolabs also delivered a Tableau dashboard showing live competitor listings, pricing outliers, days-on-market heatmaps, and top brokers by region. Trending property types: detached, condo, and duple
Client Testimonial
"ArcTechnolabs delivered more than just raw data—they gave us clarity. Their ready-made auto parts dataset, powered by Web Scraping Services and Web Scraping API Services, allowed us to track pricing shifts, identify fast-moving SKUs, and benchmark against OEM catalogs in real time. The multilingual support and structured product intelligence gave our team the edge we needed to compete on Amazon.de, eBay, and beyond. Within weeks, we optimized our pricing and streamlined our listings. ArcTechnolabs is now a vital part of our data strategy."
— Head of E-Commerce Operations, Leading Auto Parts Retailer, Germany
Conclusion
ArcTechnolabs empowered a top auto retailer in Germany to optimize pricing, identify gaps, and stay competitive by using a structured, scalable auto parts dataset covering major platforms and brands. With timely and accurate insights across SKUs, platforms, and brands, the client now makes smarter decisions, faster—backed by real data.
