Address Data Extraction CSV

via Freelancer ·

Budget / Salary$250–750
TypeFreelance project
LocationRemote
Posted1 hour ago
Description:
I have a list of 2,000 specific street addresses located within a single, uniform tract-housing USA town. I am looking for a data specialist to handle the entire extraction process and deliver the final data file. You can use whatever framework, scripting tools, or APIs you prefer.
Your deliverable must be a clean, fully-populated CSV spreadsheet containing exactly these 9 columns for all 2,000 addresses:
1. Address
2. Bedrooms
3. Bathrooms
4. Basement Type (Standardized text, e.g., Full, partial Crawl, Slab, none) finished/unfinished if avail
5. Garage Spaces (Numeric count, e.g., 2, 3) or exterior parking if no garage
6. GLA / SF (Gross Living Area - above grade only)
7. Age / Year Built
8. Design Type (Cleanly categorized as: Single-Family, Townhouse, or Condo, 2 story/ranch/split level)
9. Lot Size
Data Completeness Rules:
To receive a full milestone payout, every single row must contain an explicit, verified status for BOTH the "Basement Type" and "Garage Spaces" metrics. Because this is a standard tract town, these features are uniform. If a property is off-market and missing data on Zillow, you must cross-reference alternative sources (such as Redfin, Realtor, or the local county tax assessor website) to populate the fields. Blank entries or "Unknown" flags are not acceptable.
Future Phase:
If this first 2,000-property batch is accurate and 100% complete, I will immediately open a second milestone phase to extract the remaining 4,000 parcels in the same town.
Budget: Please submit your fixed-price proposals based on the project requirements. I am looking for the best balance of data accuracy and fair market pricing.
python data processing data entry cartography & maps geolocation geospatial data extraction data analysis api integration data management
Apply on Freelancer →

Project sourced from Freelancer.com. Applications happen directly on the original platform — we never collect your data.