Any of ya'll built a robust database of real estate owners?
Looking for some high level info on how to approach building such a database.My intention is to create debt origination opportunities.Looking at one product type (say industrial) in a single county in a state, there are over 9,000 properties on costar. Where do you go from here? Whats the best approach in reaching out to owners and what has been successful for you in getting owner info? Appreciate any help here, thank you!
[{"id": "ehk7pa4", "text": "Looking to do something similar. Interested to hear what you find or others have done. ", "replies": [{"id": "ehk87q5", "text": "Also interested in hearing ideas and see what has been successful for people. It is no easy task, so I figured it will be better if we brainstorm ideas together. ", "replies": [], "depth": 2}, {"id": "ehkaatx", "text": "Can you crawl land records ? I've done this is nyc albeit with the city registers consent and coperation", "replies": [], "depth": 2}], "depth": 1}, {"id": "ehk7pcj", "text": "Subscribe to Reonomy. Done. ", "replies": [{"id": "ehk85co", "text": "How do you use it, what has your experience been with it? Are you a debt broker, lender or sales broker? ", "replies": [{"id": "ehk884o", "text": "Investment sales.  It provides debt terms though.  Should be very useful if that\u2019s what you are looking for. ", "replies": [{"id": "ehk8q0v", "text": "More than debt terms, I am interested in the borrower/sponsor info. How granular is the sponsor info? -Email, phone number, addresses? It is my understanding that we can see debt terms and identify potential refinance opportunities, but I would love to get borrower/sponsor contact info.", "replies": [{"id": "ehk8ryj", "text": "Ya that is there too.  Just contact them for more info. ", "replies": [], "depth": 5}, {"id": "ehki2nt", "text": "I\u2019m a loan officer too. Would be interested in talking about your platform. We\u2019re looking for sub debt opportunities, or we can take the A too. We have a $2b debt fund and do about $12b of permanent loan originations every year. Need to get rid of all this cash!", "replies": [{"id": "ehklalv", "text": "$12b/yr in originations? Can I ask what bank you work for?", "replies": [{"id": "ehl79q8", "text": "I\u2019m at a Lifeco ", "replies": [], "depth": 7}], "depth": 6}], "depth": 5}], "depth": 4}], "depth": 3}], "depth": 2}], "depth": 1}, {"id": "ehk97k2", "text": "Catalog relevant properties. Find LLC info. Use the Secretary of State website to look up the registered agent info. Use information service to get contact info for RA (zoominfo has a good free trial). Cold call and email. ", "replies": [], "depth": 1}, {"id": "ehkm6qx", "text": "We started a building one a couple years ago with our programming intern (now full time). It has now grown into a vast database of our subject area and can be subcategorized into different development zones. We start with ArcMap GIS and upload  shapefiles from the the local assessor authority. From there the code runs a script to automatically build files for each parcel owner with vesting deeds, notes, taxes , liens, etc on each property. It\u2019s updated as needed and builds any subject area into a comprehensive report that one typically has to go the various public records to combine. You can add notes and our closing attorney has access to upload docs as we close properties ", "replies": [{"id": "ehkuarq", "text": "Wow this actually sounds amazing and very extensive/ hard to do, having some GIS experience myself. I would love to connect more on this, what do you do and where do you work?", "replies": [], "depth": 2}, {"id": "ehm4z0x", "text": "Have you gotten business from it?", "replies": [], "depth": 2}, {"id": "ehsjrvw", "text": "hey just following up again with this, wanted to learn more! \n\n&amp;#x200B;\n\nPls reach out", "replies": [], "depth": 2}], "depth": 1}, {"id": "ehlpakh", "text": "I mean just download the transaction lists from RCAnalytics done", "replies": [], "depth": 1}, {"id": "ehlulrn", "text": "see landchecks.com for  full details for about 10 data sets ", "replies": [], "depth": 1}]