Automated Realtor Lead Scraper – Extract Targeted Leads from FB
Budget: $30 – $250 USD
We need a skilled Web Scraping & Data Automation Specialist to build a fully automated scraper that extracts at least 1,500 high-quality realtor leads from Facebook profiles based on specific criteria:
✅ Filters: Gender, Demographics, Number of Followers, Keywords
✅ Extracted Data: Name, Phone Number, Location, Followers
✅ Output Format: CSV or Spreadsheet
✅ Automation: Must run efficiently without manual intervention
Who We Need:
We’re looking for a Python developer with expertise in Scrapy, Selenium, or BeautifulSoup, along with experience handling proxies, CAPTCHAs, and API restrictions. If you can automate, filter, and structure data efficiently, this project is for you!
? Bonus: If you can integrate cloud-based automation for long-term use!
Let’s build something powerful together. ??
✅ Filters: Gender, Demographics, Number of Followers, Keywords
✅ Extracted Data: Name, Phone Number, Location, Followers
✅ Output Format: CSV or Spreadsheet
✅ Automation: Must run efficiently without manual intervention
Who We Need:
We’re looking for a Python developer with expertise in Scrapy, Selenium, or BeautifulSoup, along with experience handling proxies, CAPTCHAs, and API restrictions. If you can automate, filter, and structure data efficiently, this project is for you!
? Bonus: If you can integrate cloud-based automation for long-term use!
Let’s build something powerful together. ??