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The AI "Hack" for Finding Distressed Real-Estate Properties!
Just finished a Python project that uses Hugging Face Transformers to clean up municipal code violation data which many of you can easily access by googling "your city's code violation open data". (sorry it gets a bit technical now) - I’m running a distilbart Zero-Shot Classification model locally to process thousands of code violation records. So far I think this has done a great job and we'll probably implement this for our larger datasets. (See screenshot) The script iterates through raw text descriptions (Complaints/Code Violations) and classifies them into categories like 'Absentee Owner,' 'Structural Damage,' or 'Probate'—without needing a pre-trained dataset. It even includes a logic layer to prioritize probate keywords with high confidence scores as we were getting false positives such as "Abandoned Vehicles, Dead cats/dogs, etc.." It’s cool how accessible NLP (Natural Language Processing) has become for solving niche business problems like identifying distressed property inventory! The best part is that we don't spend $ on API calls to OpenAI/Gemini as we're running all of these locally. Here's the link to the script if you're interested in trying it yourself. Again, implementing our changes to our data offerings at https://lspdata.io ;)
Cold calling the day before Thanksgiving
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Getting Real-Estate Leads ahead of any platform!
I run my own data company so we're very niche, I'm getting clients that are no longer satisfied with propstream and similar products as everyone is targetting the same lists. Below I'm going to cover where you can get this information for free! As a quick summary here's where you can find other relevant real-estate data if you're an investor and what does the data contain: - County appraisal data - Absentee owned, Owner information (mailing address, years of ownership), Probate. Parcel property details such as single/multi-family, SQ/FT, # of rooms, etc. "Google your county + appraisal data") - County District clerk (Criminal/civil data) - Divorce, Tax delinquency, Foreclosure, Felony convictions. Preforeclosure data as well (Lis pendends, Reassignment of trustee, etc..) - Justice of peace courts (Lookup your Precinct) - Debt claims, Evictions, Small claims, etc.. - Public real Estate Agent records - Many real estate agents are actually buyers (you can pull up their company info and match it with appraisal district data and identify cash buyers to build your cash list, for example in Texas you can download the entire list from the state site ). - Regrid - is a great place to pull USPS vacant lists. - Public City Works - Code violation data, Water shutoff (although there's been privacy changes with this) - 311 Service requests data - Great to identify bad land lords, code violations, vacant properties, etc. (Think of this list as Driving for $'s as the neighbors/concerned citizens are the ones making the calls to complain). - Other Public sites such as nextdoor[.]com & Facebook - People will tell you what's going on in their neighborhoods (complaints about homeless camps, breaking into houses, etc.) Back to the County Appraisal District Data: This is where as I mentioned you'll find your "Absentee owners", all this really means is that the property site address is different from the Mailing address as an individual may own multiple properties and the only thing that will tie them together is the owner name along with the mailiing address, how can I get ahead of these data vendors and use my competitive advantage? I've put together a Google sheets with the top cities/counties in the U.S that include downloads to the appraisal district/Parcel data which can be accessed here
Getting Real-Estate Leads ahead of any platform!
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