Intelligent Adaptive Web Scraping System
Budget: $250 – $750 USD
I'm looking to build an intelligent web scraping system that leverages cutting-edge AI technology to transform traditional scrapers into adaptive, self-improving systems. The goal is to implement a Hierarchical Reasoning Model (HRM) that allows scraping bots to learn from human corrections and improve over time, specifically targeting e-commerce sites.
Key Requirements:
- Develop a web scraping system that can extract product details, customer reviews, and pricing information from e-commerce sites.
- Implement a JSON correction schema to facilitate learning from human-provided manual data corrections and correct data samples.
- Convert the latest AI research into a production-ready system capable of processing over 100 pages per hour.
- Design a robust architecture that ensures the system learns efficiently from correction data.
Ideal Skills and Experience:
- Expertise in AI and machine learning, particularly in applying research to practical applications.
- Advanced web scraping knowledge, with experience in handling complex data extraction tasks.
- Strong understanding of data architecture and its impact on machine learning success.
- Ability to design and implement a scalable production API.
The successful candidate will be an AI/ML engineer and web scraping specialist who can bridge the gap between research and real-world application, creating a system that not only extracts data efficiently but also continuously improves its accuracy and reliability.
Key Requirements:
- Develop a web scraping system that can extract product details, customer reviews, and pricing information from e-commerce sites.
- Implement a JSON correction schema to facilitate learning from human-provided manual data corrections and correct data samples.
- Convert the latest AI research into a production-ready system capable of processing over 100 pages per hour.
- Design a robust architecture that ensures the system learns efficiently from correction data.
Ideal Skills and Experience:
- Expertise in AI and machine learning, particularly in applying research to practical applications.
- Advanced web scraping knowledge, with experience in handling complex data extraction tasks.
- Strong understanding of data architecture and its impact on machine learning success.
- Ability to design and implement a scalable production API.
The successful candidate will be an AI/ML engineer and web scraping specialist who can bridge the gap between research and real-world application, creating a system that not only extracts data efficiently but also continuously improves its accuracy and reliability.