Creating and Dynamically Updating Database of Allegro.com sellers

Introduction Allegro.com is one of the largest e-commerce platforms in Central and Eastern Europe, hosting thousands of sellers...

Allegro.com database

Introduction

Allegro.com is one of the largest e-commerce platforms in Central and Eastern Europe, hosting thousands of sellers offering a wide range of products. For businesses looking to reach sellers on this platform, having accurate and up-to-date information about contacts and product offerings is essential.

Our client, a company specializing in B2B collaboration with online sellers, approached us to create a comprehensive database of Allegro.com sellers. The goal was to include not only product information but also contact details for targeted outreach. Additionally, the client needed the database to be regularly updated to remain relevant and accurate.


The Challenge

The client had specific requirements:

  1. Comprehensive seller database – including key information such as:
    • Seller name.
    • Product range and categories.
    • Contact details (email, phone, address, website).
    • Ratings and reviews.
  2. Dynamic updates and additions – regular tracking of changes in sellers’ offerings and addition of new records.
  3. Data segmentation – organizing data by product categories, seller size, and regions.
  4. Ease of access – delivering data in user-friendly formats (Excel, JSON) and enabling integration with the client’s internal CRM systems.

Our Solution

To meet these requirements, we designed and implemented an efficient system for data collection and management:


1. Identifying Key Data Points

We analyzed Allegro.com to identify the most important data for the client, including:

  • Contact details (emails, phone numbers).
  • Product range and categories.
  • Sales statistics and customer ratings.
  • Regional focus of the sellers.

2. Developing a Custom Scraping Tool
  • We built a tailored scraping tool to extract the required data from Allegro.com.
  • The scraper was optimized for handling large data volumes and the dynamic nature of the platform.
  • The tool processed data from over 50,000 sellers daily, covering various categories.

3. Data Processing and Organization
  • The collected data was structured according to the client’s needs:
    • Master database with comprehensive information on all sellers.
    • Segmented files categorized by product type (electronics, fashion, home goods, etc.) and regions.
  • A validation system was implemented to eliminate incomplete or duplicate records.

4. Dynamic Updates and Data Enrichment
  • We set up an automated system for daily monitoring of platform changes.
  • New seller records were automatically added to the database, while inactive or altered profiles were flagged and archived.
  • A dashboard allowed the client to monitor updates and export data in the required formats.

5. Integration and Delivery
  • Data was delivered in Excel and JSON formats, making it easy to integrate into the client’s CRM systems and marketing tools.
  • We provided an API for direct access to the database, enabling dynamic updates and real-time data availability.

Results

1. Comprehensive and Current Database

  • The client received a robust database of over 50,000 sellers, updated daily.

2. Enhanced Marketing Campaigns

  • Accurate contact details and segmented data enabled the client to efficiently target sellers by product category and region.

3. Time and Resource Savings

  • Automation eliminated the need for manual data collection, saving the client dozens of hours each month.

4. Scalability and Flexibility

  • The database was designed for scalability, allowing it to grow with the client’s evolving needs and accommodate additional data sources.

Client Testimonial

“Thanks to AW Data Scraping, we now have access to up-to-date information on sellers on Allegro.com. This system allows us to efficiently reach new partners and optimize our marketing strategy. The service is reliable and tailored precisely to our needs.”


Conclusion

This case study demonstrates how automated data collection and dynamic database management can be invaluable tools for businesses looking to target sellers on major platforms like Allegro.com. Our solution not only collects and organizes data but also ensures its continuous relevance, saving time and resources for our clients.

Do you have similar needs? Contact us to learn how we can help you build a custom database and strengthen your competitive edge.

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