HOME/LOCAL/DATABASE OF NURSING HOMES EMAIL LIST

Database Of Nursing Homes Email List

DATABASE ID: LOCAL-DATA | RECORDS: 50,000 | LAST VERIFIED: TODAY
IDCompanyWebsiteKey ContactTitleVerified EmailIntent Score
00001Company 15 LLCwww.company1.comExec Name 1CEOexec1@company1.com98
00002Company 805 LLCwww.company2.comExec Name 2Founderexec2@company2.com97
00003Company 21 LLCwww.company3.comExec Name 3VP of Marketingexec3@company3.com86
00004Company 206 LLCwww.company4.comExec Name 4Founderexec4@company4.com92
00005Company 341 LLCwww.company5.comExec Name 5CEOexec5@company5.com88
00006Company 836 LLCwww.company6.comExec Name 6VP of Marketing••••••••••••@••••.com81
00007Company 298 LLCwww.company7.comExec Name 7CEO••••••••••••@••••.com94
00008Company 260 LLCwww.company8.comExec Name 8Founder••••••••••••@••••.com92
00009Company 412 LLCwww.company9.comExec Name 9VP of Marketing••••••••••••@••••.com99
00010Company 17 LLCwww.company10.comExec Name 10Founder••••••••••••@••••.com82
00011Company 104 LLCwww.company11.comExec Name 11CEO••••••••••••@••••.com88
00012Company 152 LLCwww.company12.comExec Name 12VP of Marketing••••••••••••@••••.com82
00013Company 638 LLCwww.company13.comExec Name 13CEO••••••••••••@••••.com99
00014Company 306 LLCwww.company14.comExec Name 14Founder••••••••••••@••••.com82
00015Company 824 LLCwww.company15.comExec Name 15VP of Marketing••••••••••••@••••.com88
00016Company 976 LLCwww.company16.comExec Name 16Founder••••••••••••@••••.com82
00017Company 326 LLCwww.company17.comExec Name 17CEO••••••••••••@••••.com96
00018Company 247 LLCwww.company18.comExec Name 18VP of Marketing••••••••••••@••••.com96
00019Company 834 LLCwww.company19.comExec Name 19CEO••••••••••••@••••.com81
00020Company 578 LLCwww.company20.comExec Name 20Founder••••••••••••@••••.com94
00021Company 142 LLCwww.company21.comExec Name 21VP of Marketing••••••••••••@••••.com84
00022Company 85 LLCwww.company22.comExec Name 22Founder••••••••••••@••••.com89
00023Company 906 LLCwww.company23.comExec Name 23CEO••••••••••••@••••.com85
00024Company 157 LLCwww.company24.comExec Name 24VP of Marketing••••••••••••@••••.com85
00025Company 593 LLCwww.company25.comExec Name 25CEO••••••••••••@••••.com96
00026Company 757 LLCwww.company26.comExec Name 26Founder••••••••••••@••••.com94
00027Company 409 LLCwww.company27.comExec Name 27VP of Marketing••••••••••••@••••.com92
00028Company 332 LLCwww.company28.comExec Name 28Founder••••••••••••@••••.com80
00029Company 610 LLCwww.company29.comExec Name 29CEO••••••••••••@••••.com85
00030Company 344 LLCwww.company30.comExec Name 30VP of Marketing••••••••••••@••••.com81
00031Company 702 LLCwww.company31.comExec Name 31CEO••••••••••••@••••.com80
00032Company 822 LLCwww.company32.comExec Name 32Founder••••••••••••@••••.com84
00033Company 651 LLCwww.company33.comExec Name 33VP of Marketing••••••••••••@••••.com82
00034Company 608 LLCwww.company34.comExec Name 34Founder••••••••••••@••••.com89
00035Company 786 LLCwww.company35.comExec Name 35CEO••••••••••••@••••.com99
00036Company 458 LLCwww.company36.comExec Name 36VP of Marketing••••••••••••@••••.com85
00037Company 675 LLCwww.company37.comExec Name 37CEO••••••••••••@••••.com99
00038Company 411 LLCwww.company38.comExec Name 38Founder••••••••••••@••••.com94
00039Company 981 LLCwww.company39.comExec Name 39VP of Marketing••••••••••••@••••.com83
00040Company 383 LLCwww.company40.comExec Name 40Founder••••••••••••@••••.com88
00041Company 313 LLCwww.company41.comExec Name 41CEO••••••••••••@••••.com88
00042Company 717 LLCwww.company42.comExec Name 42VP of Marketing••••••••••••@••••.com93
00043Company 311 LLCwww.company43.comExec Name 43CEO••••••••••••@••••.com98
00044Company 935 LLCwww.company44.comExec Name 44Founder••••••••••••@••••.com96
00045Company 509 LLCwww.company45.comExec Name 45VP of Marketing••••••••••••@••••.com82
00046Company 409 LLCwww.company46.comExec Name 46Founder••••••••••••@••••.com97
00047Company 442 LLCwww.company47.comExec Name 47CEO••••••••••••@••••.com88
00048Company 3 LLCwww.company48.comExec Name 48VP of Marketing••••••••••••@••••.com99
00049Company 32 LLCwww.company49.comExec Name 49CEO••••••••••••@••••.com87
00050Company 620 LLCwww.company50.comExec Name 50Founder••••••••••••@••••.com81
[ 49,950 ROWS LOCKED ]
>_ SYSTEM.ANALYSIS.LOG_

Scraping nursing home emails was a mess. Most facilities hide behind generic contact forms, and the ones that do publish emails often have typos or use outdated domains. We had to build a custom parser that cross-references state registries and CMS data to validate each address. Finally cracked it by combining OCR on scanned PDFs with a fuzzy match against known email patterns. Now we have a clean list of 12,000+ decision-makers.

The hard part wasn't getting the emails—it was deduping and verifying them. Nursing homes change ownership all the time, so emails bounce. We wrote a Python script that checks each address against a live SMTP server and flags duplicates based on domain + name. Also had to handle role-based addresses like 'admin@' vs 'director@'. After three iterations, we got the bounce rate below 5%. That's good enough for cold outreach.

What surprised me: many nursing homes use the same email for billing and admissions. That means one address can serve multiple purposes, but it also means your sales rep might be emailing the billing person instead of the director of nursing. We added a 'role_confidence' column to help you filter by likely title. It's not perfect, but it's better than guessing.

Data Schema & Dictionary

facility_name

The official name of the nursing home as registered with Medicare. If you're targeting a chain, you'll need to filter by parent company separately.

email_address

The primary contact email scraped from the facility's website or CMS documents. It's the one most likely to reach a human, not a spam folder.

phone

The main phone number for the facility. Use this if email bounces or if you prefer to call. Don't be a telemarketer—have a reason to call.

address

Street address of the facility. Useful for territory planning or direct mail, but honestly, you're probably just going to email.

city_state_zip

Geographic breakdown. If you're selling a regional product, this is your filtering column. Also helps you avoid sending a snowplow pitch to a Florida facility.

cms_rating

Medicare's 5-star rating for the facility. Ranges from 1 to 5. If you're selling luxury services, target the 4 and 5 stars. If you're selling cost-saving tools, target the 1 and 2 stars.

ownership_type

For-profit, non-profit, or government. This matters because the decision-making process differs drastically. For-profit facilities are more likely to respond to ROI pitches.

number_of_beds

Total number of beds in the facility. A proxy for size. Bigger facilities have bigger budgets and more complex needs.

role_confidence

A score from 0 to 1 indicating how confident we are that the email belongs to a decision-maker (e.g., director of nursing) vs. a generic inbox. Filter for >0.7 to get the good stuff.

Frequently Asked Questions

How fresh is this data?
We scrape it on the 1st of every month. If you find a bounce, tell us and we'll swap it for a credit. Simple as that. No ongoing subscription required—you buy the CSV once and get one free refresh after 30 days.
Are these emails GDPR compliant?
Look, we're scraping public business contact info, which is generally legal under GDPR's legitimate interest clause. But we're not your lawyer. If you're sending cold emails to EU facilities, you need to do your own due diligence. Most of our buyers are in the US anyway.
Can I get a sample before buying?
Sure, we'll send you 50 random records so you can see the format and test deliverability. Just ask. If you're serious, you'll buy the full list. If you're just fishing for free data, you're wasting both our time.

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