Live freelance tracking. Raw descriptions turned into structured data. Find your next tech project without the noise.
upwork.com π‘ 2026-05-30
πΉ SW Florida Commercial Real Estate High-Fidelity Lead Generation
π€ Client: πΊπΈ USA Member since 2025-04-27
π° Price: ****
π© Problem: Existing public datasets and scrapers (Apollo, CoStar, Google Maps) provide stale, inaccurate, or non-direct contact information for CRE decision-makers.
π¦ Existing: Apollo, CoStar, Google Maps scrapers, D&B, County property appraiser exports.
Specifications:
[Target] Commercial real estate brokers, agents, property managers, and direct building owners
[Target] Geography: Sarasota, Manatee, Hillsborough, Pinellas, Pasco, Polk, and Hernando Counties, FL
[Method] Relationship-sourced data (Trade associations: BOMA, IREM, CCIM, NAIOP; Conference attendee lists; Title company/Attorney networks; Insurance platforms)
[Format] First/Last Name, Title, Company, Direct Mobile Phone, Direct Email, Property Address
[Security] Mandatory email deliverability and phone connectivity verification
[Format] Verified, non-generic contact fields (no info@ or contact@ emails)
Workflow:
1. Extraction of contacts from non-public, relationship-based sources.
2. Filtering for recent activity (transactions, listings, or event attendance).
3. Validation of email deliverability and phone connectivity.
4. Delivery of verified record set for client audit.