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Limonad – a marketing tool dedicated to classified ad platforms

Limonad is a tool developed internally by Terros, allowing real estate, automotive and marketing professionals to extract ads from classified ad sites and run messaging campaigns to sellers (+ 40 million potentially reachable ads via the platform).

Limonad – a marketing tool dedicated to classified ad platforms

Project Context

The technical challenge

Develop a scraping platform capable of processing massive volumes of ads while bypassing extremely sophisticated anti-bot systems. The main challenge was in the automated extraction of data from platforms like Leboncoin, SeLoger, LaCentrale, etc., with over 40 million potentially accessible ads.

Major technical constraints

  • Large volumes of data to process

  • Bypassing extremely sophisticated anti-bot systems

  • Advanced analysis of login systems (complex token generation)

  • Cloud deployment with stable infrastructure

  • Fine proxy selection to optimize costs

  • Ethical respect for target servers

Solution

Advanced technical architecture

We developed a sophisticated scraping solution based on a distributed architecture and advanced anti-bot bypass techniques.

Technologies and approaches

  • In-depth analysis of authentication systems to generate valid tokens

  • Intelligent proxy rotation with performance-based selection

  • Human behavior simulation to avoid detection

  • Robust cloud infrastructure with real-time monitoring

  • Rate limiting system respectful of target servers

Platform features

  • Automated extraction from multiple platforms (Leboncoin, SeLoger, LaCentrale)

  • Automated messaging campaigns like Lemlist

  • Intuitive management interface for professionals

  • Detailed analytics and reporting

Results

Results achieved

Limonad has become a reference tool for digital marketing professionals, offering a complete solution for automated extraction and prospecting.

Business impact

  • Over 40 million accessible ads

  • High success rate in bypassing anti-bots

  • Stable and scalable infrastructure

  • Cost optimization through intelligent proxy selection

  • Respect for best practices and scraping ethics

Mastered technologies

  • Python, Selenium, BeautifulSoup for scraping

  • AWS/Azure cloud infrastructure

  • Advanced proxy management and rotation

  • Real-time monitoring and alerts

Technologies Used

Other

Scraping

Frontend

Nuxt.js
Vue.js

DevOps

Nginx
Docker Compose
Docker

Backend

Node.js

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