Lilo AI

Website Scraper and Data Manager in Lilo AI

Closed job - No longer receiving applicants

Lilo is a hotel procurement platform empowering hotels with state-of-the-art technology, data insights, and machine learning to streamline their processes. Our platform is designed to connect hotels with the best suppliers globally and locally, ensuring they find the perfect products and services to enhance their guest experience. At Lilo, we are committed to driving innovation in hotel procurement, helping our clients stay ahead in a competitive market.
Lilo is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees.

Job functions

The Role:
We are looking for a skilled Website Scraper and Data Manager to join our team. This role involves extracting and managing vendor data to ensure our platform offers the most comprehensive and up-to-date catalogs for our clients.
Key Responsibilities:
  • Develop, implement, and maintain web scraping tools to extract vendor catalog data efficiently and accurately.
  • Onboard and integrate scraped data onto our platform, ensuring seamless availability of vendor catalogs for hotel procurement.
  • Regularly update and refresh data by scraping at set intervals to maintain the accuracy and relevance of our catalog offerings.
  • Work closely with the business ops team to identify key vendors and optimize scraping strategies.
  • Ensure compliance with legal and ethical standards in data scraping and management.
  • Monitor and troubleshoot any issues with the scraping process, making necessary adjustments for efficiency and effectiveness.

Qualifications and requirements

  • Proven experience in web scraping and data extraction.
  • C1 or above proficiency in English (oral and written).
  • Familiarity with programming languages used for scraping (e.g., Python, JavaScript).
  • Experience with web scraping tools and frameworks (e.g., Scrapy, Beautiful Soup).
  • Strong understanding of HTML, CSS, and web technologies.
  • Ability to manage large datasets and perform data cleaning and preprocessing.
  • Excellent problem-solving skills and attention to detail.
  • Good communication and teamwork abilities.
  • Ability to work independently and manage multiple scraping projects simultaneously.

Conditions

  • A vital role in a fast-growing technology company.
  • Competitive salary.
  • Flexible working hours and location.
  • Opportunities for professional growth and skill development.
  • Contractor agreement with US entity.

Accessible An infrastructure adequate for people with special mobility needs.
Fully remote You can work from anywhere in the world.
Pet-friendly Pets are welcome at the premises.
Flexible hours Flexible schedule and freedom for attending family needs or personal errands.
Informal dress code No dress code is enforced.
Recreational areas Space for games or sports.

Remote work policy

Fully remote

Candidates can reside anywhere in the world.

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