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Database Of Nursing Homes B2b Leads

DATABASE ID: TECH-DATA | RECORDS: 50,000 | LAST VERIFIED: TODAY
IDCompanyWebsiteKey ContactTitleVerified EmailIntent Score
00001Company 187 LLCwww.company1.comExec Name 1CEOexec1@company1.com94
00002Company 279 LLCwww.company2.comExec Name 2Founderexec2@company2.com87
00003Company 26 LLCwww.company3.comExec Name 3VP of Marketingexec3@company3.com98
00004Company 747 LLCwww.company4.comExec Name 4Founderexec4@company4.com92
00005Company 768 LLCwww.company5.comExec Name 5CEOexec5@company5.com90
00006Company 754 LLCwww.company6.comExec Name 6VP of Marketing••••••••••••@••••.com84
00007Company 334 LLCwww.company7.comExec Name 7CEO••••••••••••@••••.com96
00008Company 556 LLCwww.company8.comExec Name 8Founder••••••••••••@••••.com97
00009Company 465 LLCwww.company9.comExec Name 9VP of Marketing••••••••••••@••••.com94
00010Company 247 LLCwww.company10.comExec Name 10Founder••••••••••••@••••.com95
00011Company 542 LLCwww.company11.comExec Name 11CEO••••••••••••@••••.com97
00012Company 843 LLCwww.company12.comExec Name 12VP of Marketing••••••••••••@••••.com97
00013Company 602 LLCwww.company13.comExec Name 13CEO••••••••••••@••••.com97
00014Company 151 LLCwww.company14.comExec Name 14Founder••••••••••••@••••.com81
00015Company 787 LLCwww.company15.comExec Name 15VP of Marketing••••••••••••@••••.com90
00016Company 826 LLCwww.company16.comExec Name 16Founder••••••••••••@••••.com90
00017Company 576 LLCwww.company17.comExec Name 17CEO••••••••••••@••••.com96
00018Company 183 LLCwww.company18.comExec Name 18VP of Marketing••••••••••••@••••.com96
00019Company 772 LLCwww.company19.comExec Name 19CEO••••••••••••@••••.com82
00020Company 195 LLCwww.company20.comExec Name 20Founder••••••••••••@••••.com84
00021Company 188 LLCwww.company21.comExec Name 21VP of Marketing••••••••••••@••••.com92
00022Company 387 LLCwww.company22.comExec Name 22Founder••••••••••••@••••.com81
00023Company 20 LLCwww.company23.comExec Name 23CEO••••••••••••@••••.com86
00024Company 473 LLCwww.company24.comExec Name 24VP of Marketing••••••••••••@••••.com89
00025Company 938 LLCwww.company25.comExec Name 25CEO••••••••••••@••••.com98
00026Company 556 LLCwww.company26.comExec Name 26Founder••••••••••••@••••.com93
00027Company 752 LLCwww.company27.comExec Name 27VP of Marketing••••••••••••@••••.com95
00028Company 715 LLCwww.company28.comExec Name 28Founder••••••••••••@••••.com93
00029Company 97 LLCwww.company29.comExec Name 29CEO••••••••••••@••••.com88
00030Company 204 LLCwww.company30.comExec Name 30VP of Marketing••••••••••••@••••.com82
00031Company 520 LLCwww.company31.comExec Name 31CEO••••••••••••@••••.com91
00032Company 301 LLCwww.company32.comExec Name 32Founder••••••••••••@••••.com91
00033Company 465 LLCwww.company33.comExec Name 33VP of Marketing••••••••••••@••••.com99
00034Company 86 LLCwww.company34.comExec Name 34Founder••••••••••••@••••.com94
00035Company 926 LLCwww.company35.comExec Name 35CEO••••••••••••@••••.com82
00036Company 666 LLCwww.company36.comExec Name 36VP of Marketing••••••••••••@••••.com80
00037Company 188 LLCwww.company37.comExec Name 37CEO••••••••••••@••••.com98
00038Company 949 LLCwww.company38.comExec Name 38Founder••••••••••••@••••.com90
00039Company 641 LLCwww.company39.comExec Name 39VP of Marketing••••••••••••@••••.com82
00040Company 778 LLCwww.company40.comExec Name 40Founder••••••••••••@••••.com92
00041Company 780 LLCwww.company41.comExec Name 41CEO••••••••••••@••••.com82
00042Company 87 LLCwww.company42.comExec Name 42VP of Marketing••••••••••••@••••.com92
00043Company 914 LLCwww.company43.comExec Name 43CEO••••••••••••@••••.com85
00044Company 283 LLCwww.company44.comExec Name 44Founder••••••••••••@••••.com93
00045Company 233 LLCwww.company45.comExec Name 45VP of Marketing••••••••••••@••••.com86
00046Company 808 LLCwww.company46.comExec Name 46Founder••••••••••••@••••.com86
00047Company 721 LLCwww.company47.comExec Name 47CEO••••••••••••@••••.com99
00048Company 602 LLCwww.company48.comExec Name 48VP of Marketing••••••••••••@••••.com87
00049Company 284 LLCwww.company49.comExec Name 49CEO••••••••••••@••••.com89
00050Company 121 LLCwww.company50.comExec Name 50Founder••••••••••••@••••.com91
[ 49,950 ROWS LOCKED ]
>_ SYSTEM.ANALYSIS.LOG_

Scraping nursing home leads was a pain. Their websites are mostly static HTML with no APIs, and many use CAPTCHAs to block bots. We had to rotate proxies and use headless browsers to get through. Finally cracked it by combining Medicare's Provider Data Catalog with web scrapes of facility pages. The result is a clean CSV with 15k+ verified records.

We cross-checked every record against NPI registry and state health department databases. The hard part was deduplication: many facilities have multiple locations with similar names. We wrote a script to match addresses and phone numbers, but it still took two weeks to manually verify the edge cases. The final dataset has only unique physical locations.

The file includes direct phone numbers and email addresses scraped from contact pages. Some facilities have a central switchboard, so we also scraped department extensions. We marked those as 'switchboard' in the type column. It's not perfect, but it's the best you'll find without paying $10k for a custom list.

Data Schema & Dictionary

facility_name

The legal name of the nursing home. If you're doing cold calls, this is what the receptionist will recognize.

npi_number

National Provider Identifier. Useful for verifying the facility exists and for cross-referencing with insurance claims data.

address

Physical street address. Not a PO box. We scraped this from the facility's own site and cross-checked with Medicare.

phone_direct

Direct phone number for the facility's front desk or admin office. If you call this, you'll actually reach a human.

phone_switchboard

Main switchboard number, if different from direct. Sometimes you have to go through this to get to the right person.

email_contact

Email address scraped from the contact page or listed on CMS forms. Often goes to an admin inbox, so use it for outreach.

bed_count

Number of licensed beds. Useful for segmenting by facility size. Larger facilities have bigger budgets for supplies and services.

ownership_type

Whether the facility is for-profit, non-profit, or government-owned. This affects how they make purchasing decisions.

Frequently Asked Questions

How fresh is this data?
We scrape it on the 1st of every month. If a record bounces, tell us within 30 days and we'll swap the credit. Simple.
Do you have direct emails for decision makers?
We have general contact emails, not personal ones. Getting personal emails for nursing home admins is nearly impossible without buying a list that's probably stale. If you need decision makers, use our data to find the facility and then LinkedIn them.
Can I get a sample before buying?
Yes, we'll send you 50 random records for free. Just ask. But don't expect us to hand over the whole file for 'evaluation'—that's not going to happen.

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