🕷️️ Job Radar • SCRAPING

freelancer.com 2026-04-14 🟢

🔹 Build clean, ready-to-use lead file from Propstream and Apollo.io
👤 Client: 🇺🇸 El Paso, United States Member since 2016-06-30
💰 Price: $409 Average bid
🚩 Problem: Need to gather comprehensive commercial property leads with up-to-date contact information while respecting TOS.
📦 Existing: Propstream Account, [login to view URL] platform

Specifications:

[Target] - Commercial properties and apartment assets from Propstream; matching or related prospects from Apollo.io
[Method] - Python with Selenium/BeautifulSoup for scraping; deduplication process using a reliable library like Pandas
[UI/UX] - Not applicable (backend task)
[Stack] - Python, Selenium, BeautifulSoup, Pandas
[Security] - Ensure compliance with Propstream and Apollo.io TOS; use secure data handling practices
[Format] - CSV or Excel file with clearly labeled columns, no duplicates, valid phone/email formats

Workflow:

1. Define the scraping scope for commercial properties and apartment assets on Propstream.
2. Set up Selenium/BeautifulSoup to scrape required details from each property listing including full property information and owner contact data.
3. Implement deduplication logic using Pandas to ensure no duplicate entries in the final dataset.
4. Scrape corresponding leads from Apollo.io based on matching or related asset classes.
5. Merge Propstream and Apollo.io data into a single CSV/Excel file with separate tabs for each source.
6. Validate phone/email formats and label columns clearly to ensure data hygiene.
7. Provide at least 50 preview rows early in the process for spot-checking.