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Buy Mortgage Leads

DATABASE ID: LOCAL-BUY- | RECORDS: 50,000 | LAST VERIFIED: TODAY
IDCompanyWebsiteKey ContactTitleVerified EmailIntent Score
00001Company 493 LLCwww.company1.comExec Name 1CEOexec1@company1.com95
00002Company 630 LLCwww.company2.comExec Name 2Founderexec2@company2.com83
00003Company 866 LLCwww.company3.comExec Name 3VP of Marketingexec3@company3.com94
00004Company 382 LLCwww.company4.comExec Name 4Founderexec4@company4.com95
00005Company 634 LLCwww.company5.comExec Name 5CEOexec5@company5.com99
00006Company 783 LLCwww.company6.comExec Name 6VP of Marketing••••••••••••@••••.com97
00007Company 641 LLCwww.company7.comExec Name 7CEO••••••••••••@••••.com98
00008Company 739 LLCwww.company8.comExec Name 8Founder••••••••••••@••••.com84
00009Company 703 LLCwww.company9.comExec Name 9VP of Marketing••••••••••••@••••.com81
00010Company 929 LLCwww.company10.comExec Name 10Founder••••••••••••@••••.com84
00011Company 295 LLCwww.company11.comExec Name 11CEO••••••••••••@••••.com81
00012Company 632 LLCwww.company12.comExec Name 12VP of Marketing••••••••••••@••••.com96
00013Company 130 LLCwww.company13.comExec Name 13CEO••••••••••••@••••.com97
00014Company 146 LLCwww.company14.comExec Name 14Founder••••••••••••@••••.com95
00015Company 937 LLCwww.company15.comExec Name 15VP of Marketing••••••••••••@••••.com97
00016Company 192 LLCwww.company16.comExec Name 16Founder••••••••••••@••••.com88
00017Company 182 LLCwww.company17.comExec Name 17CEO••••••••••••@••••.com82
00018Company 371 LLCwww.company18.comExec Name 18VP of Marketing••••••••••••@••••.com95
00019Company 418 LLCwww.company19.comExec Name 19CEO••••••••••••@••••.com80
00020Company 836 LLCwww.company20.comExec Name 20Founder••••••••••••@••••.com83
00021Company 219 LLCwww.company21.comExec Name 21VP of Marketing••••••••••••@••••.com86
00022Company 543 LLCwww.company22.comExec Name 22Founder••••••••••••@••••.com92
00023Company 930 LLCwww.company23.comExec Name 23CEO••••••••••••@••••.com83
00024Company 602 LLCwww.company24.comExec Name 24VP of Marketing••••••••••••@••••.com99
00025Company 933 LLCwww.company25.comExec Name 25CEO••••••••••••@••••.com80
00026Company 776 LLCwww.company26.comExec Name 26Founder••••••••••••@••••.com83
00027Company 506 LLCwww.company27.comExec Name 27VP of Marketing••••••••••••@••••.com85
00028Company 586 LLCwww.company28.comExec Name 28Founder••••••••••••@••••.com93
00029Company 821 LLCwww.company29.comExec Name 29CEO••••••••••••@••••.com89
00030Company 626 LLCwww.company30.comExec Name 30VP of Marketing••••••••••••@••••.com80
00031Company 345 LLCwww.company31.comExec Name 31CEO••••••••••••@••••.com81
00032Company 88 LLCwww.company32.comExec Name 32Founder••••••••••••@••••.com93
00033Company 284 LLCwww.company33.comExec Name 33VP of Marketing••••••••••••@••••.com96
00034Company 677 LLCwww.company34.comExec Name 34Founder••••••••••••@••••.com97
00035Company 558 LLCwww.company35.comExec Name 35CEO••••••••••••@••••.com81
00036Company 907 LLCwww.company36.comExec Name 36VP of Marketing••••••••••••@••••.com93
00037Company 148 LLCwww.company37.comExec Name 37CEO••••••••••••@••••.com99
00038Company 431 LLCwww.company38.comExec Name 38Founder••••••••••••@••••.com88
00039Company 143 LLCwww.company39.comExec Name 39VP of Marketing••••••••••••@••••.com86
00040Company 781 LLCwww.company40.comExec Name 40Founder••••••••••••@••••.com94
00041Company 360 LLCwww.company41.comExec Name 41CEO••••••••••••@••••.com87
00042Company 76 LLCwww.company42.comExec Name 42VP of Marketing••••••••••••@••••.com98
00043Company 290 LLCwww.company43.comExec Name 43CEO••••••••••••@••••.com82
00044Company 227 LLCwww.company44.comExec Name 44Founder••••••••••••@••••.com99
00045Company 789 LLCwww.company45.comExec Name 45VP of Marketing••••••••••••@••••.com94
00046Company 441 LLCwww.company46.comExec Name 46Founder••••••••••••@••••.com81
00047Company 336 LLCwww.company47.comExec Name 47CEO••••••••••••@••••.com82
00048Company 203 LLCwww.company48.comExec Name 48VP of Marketing••••••••••••@••••.com81
00049Company 718 LLCwww.company49.comExec Name 49CEO••••••••••••@••••.com85
00050Company 842 LLCwww.company50.comExec Name 50Founder••••••••••••@••••.com81
[ 49,950 ROWS LOCKED ]
>_ SYSTEM.ANALYSIS.LOG_

Scraping mortgage leads is a minefield. Most 'lead' lists are recycled garbage from 2018. We had to build our own crawler that hits public property records, pre-foreclosure notices, and rate-shopping bots. Took 6 months to get the dedupe right. Now we output clean rows with intent signals, not just names.

The hard part wasn't finding people who might want a mortgage. It's finding the ones who are actively shopping. We track rate-lock requests, credit pulls, and even refinance calculators. Cross-referencing that with property tax records and loan-to-value ratios. That's how we get to 'buy' intent, not just 'maybe'.

We tried buying data from 3rd party brokers. Total junk. 60% bounce rate. So we went direct. Our infra hits county assessor sites, Fannie Mae's loan data, and public rate comparison APIs. We normalize everything into a single schema. It's not perfect, but it's the only list that tells you the homeowner's estimated equity and whether they're underwater.

Data Schema & Dictionary

homeowner_full_name

The legal name on the property deed. If you're going to call someone, you better get the name right. Misspelling it is a quick way to get hung up on.

property_street_address

The physical address of the home. This is the key to cross-referencing with county records and validating the lead. You can't do a mail merge without it.

estimated_home_value

Our model's estimate of the property's current market value, based on recent sales in the area and property tax assessments. If this number is way off, the lead is useless for a cash-out refi pitch.

estimated_loan_balance

The outstanding principal on the existing mortgage, pulled from public records or modeled from original loan amount and payments. This lets you calculate equity. That's the whole ballgame.

loan_to_value_ratio

Calculated as loan balance / home value. LTV above 80% means PMI, which is a pain point you can exploit. Below 50% means they've got equity to tap. Either way, it's your angle.

credit_score_band

A rough band (e.g., 620-679, 680-739, 740+) inferred from public credit pulls and financial data. We're not saying this is exact, but it's good enough to filter out the likely denials and focus on the qualified.

interest_rate_environment

The average 30-year fixed rate at the time of scraping, from public data. This tells you if it's a refi market or a purchase market. Your pitch changes accordingly.

last_scrape_timestamp

When we last pulled this record. Data rots. If this is older than 90 days, assume it's stale and the lead might have already closed or died.

Frequently Asked Questions

How fresh is this data?
We scrape on the 1st and 15th of every month. If a record bounces, tell us and we'll swap it for a fresh one. We're not in the business of selling you dead leads.
Where do you get these leads?
Public property records, pre-foreclosure notices, and rate-shopping behavior from public financial tools. We don't buy from sketchy brokers. We build our own crawlers and clean the data ourselves.
Can I filter by state or zip code?
Yes. The CSV has state and zip fields. You can filter in Excel or whatever. We're not a CRM, we're a data source. If you need more granular targeting, buy the whole file and do it yourself.
What's the bounce rate on these emails?
We don't sell emails. We sell phone numbers and mailing addresses. Bounce rate on calls is around 20%, which is solid for this niche. If you want emails, go scrape them yourself.

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