**Python/Playwright Web Scraping Engineer — Hotel Rate Monitoring Tool, Production Build**

Posted 4 weeks ago

Worldwide

Summary

**Python/Playwright Web Scraping Engineer — Hotel Rate Monitoring Tool, Production Build** I'm looking for an experienced Python developer to build a production-grade rate monitoring tool for the hospitality industry. **What you'll build:** A robust, scalable scraper that collects publicly visible hotel pricing data from major travel websites and aggregates it into a clean, queryable dataset. The tool will monitor rates across ~50 properties and multiple booking channels on a scheduled basis. **Tech stack:** - Python + Playwright (or equivalent) - Handling of dynamic/JS-rendered pages - Rotating proxies / anti-detection best practices - Data storage (PostgreSQL or similar) - Scheduling (cron, Celery, or equivalent) - Clean output: JSON or database records per property/date/rate **Requirements:** - Strong portfolio of production scraping projects - Experience with dynamic content extraction and anti-bot environments - Familiarity with the travel or hospitality data space is a plus - Ability to deliver maintainable, documented code - Available for ongoing maintenance and updates **Deliverables:** - Fully working scraper for 4 booking channels, 50 properties - Scheduling and error handling built in - Documentation and handover This is a serious production build, not a prototype. Looking for someone who has done this before and can deliver clean, reliable code. Please include examples of similar scraping projects in your proposal.

  • More than 30 hrs/week
    Hourly
  • 1-3 months
    Duration
  • Expert
    Experience Level
  • Remote Job
  • Ongoing project
    Project Type
Skills and Expertise
Mandatory skills
Data Scraping
Data Mining
Activity on this job
  • Proposals:20 to 50
  • Last viewed by client:2 weeks ago
  • Hires:
    1
  • Interviewing:
    7
  • Invites sent:
    11
  • Unanswered invites:
    1
About the client
Member since Jun 1, 2026
  • United Kingdom
    London9:11 AM
  • $900 total spent
    1 hire, 1 active

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