Senior Python Developer – Web Scraping Specialist (Realtor.com)
Budget: $30 – $250 USD
Before applying as this is a trial job means this is just for seeing if you're good fit for higher priced projects and etc. This one you'll be just upgrading and fixing the current scraper we have so would be simple and easy.
We're looking for a highly experienced Python scraper developer to rebuild and future-proof our current scraping system that pulls leads from Realtor.com. The current setup is buggy, inconsistent, and no longer reliably scraping. We need a 2.0 version that’s bulletproof, scalable, and can easily scrape 3,000–5,000+ real estate agent leads per day without IP bans or breakages.
Your Role:
Rebuild or significantly upgrade our current Python scraper
Maintain consistent scraping of Realtor.com agent leads (phone numbers, emails, office info, etc.)
Integrate smart IP rotation / proxy management
Build in error handling, retry logic, and scraper health checks
Structure the data cleanly for export (CSV/Google Sheets/API/DB)
Implement throttling and anti-blocking measures
Ensure scalability: minimum 3K–5K leads/day scrape capability
Our Requirements:
Expert-level Python web scraping skills
Deep experience with anti-bot bypassing, headers, rotating proxies, etc.
Prior experience scraping Realtor.com or similar real estate platforms is strongly preferred
Ability to reverse engineer site structures and adapt to changes fast
Familiarity with tools like Scrapy, Selenium, Playwright, Puppeteer, or custom headless setups
Must write clean, modular code that’s easy to maintain and scale
English fluency and regular communication
Nice to Have:
Experience with Captcha solving APIs (2Captcha, CapMonster, etc.)
Cloud deployment or serverless scaling knowledge (AWS Lambda, GCP, etc.)
Long-term vision: we want to build and maintain this together
We're looking for a highly experienced Python scraper developer to rebuild and future-proof our current scraping system that pulls leads from Realtor.com. The current setup is buggy, inconsistent, and no longer reliably scraping. We need a 2.0 version that’s bulletproof, scalable, and can easily scrape 3,000–5,000+ real estate agent leads per day without IP bans or breakages.
Your Role:
Rebuild or significantly upgrade our current Python scraper
Maintain consistent scraping of Realtor.com agent leads (phone numbers, emails, office info, etc.)
Integrate smart IP rotation / proxy management
Build in error handling, retry logic, and scraper health checks
Structure the data cleanly for export (CSV/Google Sheets/API/DB)
Implement throttling and anti-blocking measures
Ensure scalability: minimum 3K–5K leads/day scrape capability
Our Requirements:
Expert-level Python web scraping skills
Deep experience with anti-bot bypassing, headers, rotating proxies, etc.
Prior experience scraping Realtor.com or similar real estate platforms is strongly preferred
Ability to reverse engineer site structures and adapt to changes fast
Familiarity with tools like Scrapy, Selenium, Playwright, Puppeteer, or custom headless setups
Must write clean, modular code that’s easy to maintain and scale
English fluency and regular communication
Nice to Have:
Experience with Captcha solving APIs (2Captcha, CapMonster, etc.)
Cloud deployment or serverless scaling knowledge (AWS Lambda, GCP, etc.)
Long-term vision: we want to build and maintain this together