AI Specialist for Advanced Web Scraping Tool - 30/10/2024 03:02 EDT
Budget: $250 – $750 AUD
We are looking for a talented AI specialist skilled in web scraping and data extraction to develop an adaptive tool that autonomously identifies and extracts data about kids' activities from various online sources, with a focus on specific postcodes throughout Australia.
Role Overview:
The successful candidate will design and implement an intelligent web scraping system capable of autonomously discovering and extracting data from multiple, undefined websites. This project requires strong capabilities in machine learning, natural language processing, and adaptive data extraction techniques.
Responsibilities:
- Develop an advanced web scraping tool that autonomously identifies relevant websites and extracts data about kids' activities.
- Implement machine learning algorithms to ensure data relevance and accuracy, with a focus on specific geographical areas (postcodes).
- Use natural language processing to categorize and systematize extracted data effectively.
- Ensure robust integration of scraped data with strollr’s existing database for real-time updating and compatibility.
- Address and navigate legal and ethical considerations in web scraping activities, respecting website data usage policies.
- Collaborate with technical teams to ensure seamless system integration and deployment.
- Evaluate and refine the tool’s performance based on feedback and evolving project requirements.
Qualifications:
- Demonstrated expertise in AI, with a focus on web scraping and autonomous data extraction systems.
- Proficient in Python and familiar with scraping frameworks like Scrapy, Beautiful Soup, or similar technologies.
- Experience with implementing machine learning models and natural language processing tasks.
- Solid understanding of web technologies, APIs, and data integration challenges.
- Knowledgeable about the legal aspects of web scraping and data privacy.
Role Overview:
The successful candidate will design and implement an intelligent web scraping system capable of autonomously discovering and extracting data from multiple, undefined websites. This project requires strong capabilities in machine learning, natural language processing, and adaptive data extraction techniques.
Responsibilities:
- Develop an advanced web scraping tool that autonomously identifies relevant websites and extracts data about kids' activities.
- Implement machine learning algorithms to ensure data relevance and accuracy, with a focus on specific geographical areas (postcodes).
- Use natural language processing to categorize and systematize extracted data effectively.
- Ensure robust integration of scraped data with strollr’s existing database for real-time updating and compatibility.
- Address and navigate legal and ethical considerations in web scraping activities, respecting website data usage policies.
- Collaborate with technical teams to ensure seamless system integration and deployment.
- Evaluate and refine the tool’s performance based on feedback and evolving project requirements.
Qualifications:
- Demonstrated expertise in AI, with a focus on web scraping and autonomous data extraction systems.
- Proficient in Python and familiar with scraping frameworks like Scrapy, Beautiful Soup, or similar technologies.
- Experience with implementing machine learning models and natural language processing tasks.
- Solid understanding of web technologies, APIs, and data integration challenges.
- Knowledgeable about the legal aspects of web scraping and data privacy.