HOME/LOCAL/DOWNLOAD HOSPITALS EMAIL LIST

Download Hospitals Email List

DATABASE ID: LOCAL-DOWN | RECORDS: 50,000 | LAST VERIFIED: TODAY
IDCompanyWebsiteKey ContactTitleVerified EmailIntent Score
00001Company 251 LLCwww.company1.comExec Name 1CEOexec1@company1.com93
00002Company 951 LLCwww.company2.comExec Name 2Founderexec2@company2.com89
00003Company 102 LLCwww.company3.comExec Name 3VP of Marketingexec3@company3.com98
00004Company 674 LLCwww.company4.comExec Name 4Founderexec4@company4.com90
00005Company 464 LLCwww.company5.comExec Name 5CEOexec5@company5.com92
00006Company 731 LLCwww.company6.comExec Name 6VP of Marketing••••••••••••@••••.com83
00007Company 175 LLCwww.company7.comExec Name 7CEO••••••••••••@••••.com88
00008Company 801 LLCwww.company8.comExec Name 8Founder••••••••••••@••••.com97
00009Company 650 LLCwww.company9.comExec Name 9VP of Marketing••••••••••••@••••.com82
00010Company 506 LLCwww.company10.comExec Name 10Founder••••••••••••@••••.com91
00011Company 17 LLCwww.company11.comExec Name 11CEO••••••••••••@••••.com85
00012Company 958 LLCwww.company12.comExec Name 12VP of Marketing••••••••••••@••••.com89
00013Company 87 LLCwww.company13.comExec Name 13CEO••••••••••••@••••.com94
00014Company 816 LLCwww.company14.comExec Name 14Founder••••••••••••@••••.com96
00015Company 387 LLCwww.company15.comExec Name 15VP of Marketing••••••••••••@••••.com87
00016Company 370 LLCwww.company16.comExec Name 16Founder••••••••••••@••••.com98
00017Company 69 LLCwww.company17.comExec Name 17CEO••••••••••••@••••.com99
00018Company 974 LLCwww.company18.comExec Name 18VP of Marketing••••••••••••@••••.com97
00019Company 359 LLCwww.company19.comExec Name 19CEO••••••••••••@••••.com89
00020Company 160 LLCwww.company20.comExec Name 20Founder••••••••••••@••••.com83
00021Company 448 LLCwww.company21.comExec Name 21VP of Marketing••••••••••••@••••.com88
00022Company 937 LLCwww.company22.comExec Name 22Founder••••••••••••@••••.com97
00023Company 457 LLCwww.company23.comExec Name 23CEO••••••••••••@••••.com85
00024Company 228 LLCwww.company24.comExec Name 24VP of Marketing••••••••••••@••••.com95
00025Company 66 LLCwww.company25.comExec Name 25CEO••••••••••••@••••.com92
00026Company 435 LLCwww.company26.comExec Name 26Founder••••••••••••@••••.com99
00027Company 374 LLCwww.company27.comExec Name 27VP of Marketing••••••••••••@••••.com84
00028Company 527 LLCwww.company28.comExec Name 28Founder••••••••••••@••••.com84
00029Company 196 LLCwww.company29.comExec Name 29CEO••••••••••••@••••.com80
00030Company 278 LLCwww.company30.comExec Name 30VP of Marketing••••••••••••@••••.com94
00031Company 215 LLCwww.company31.comExec Name 31CEO••••••••••••@••••.com95
00032Company 730 LLCwww.company32.comExec Name 32Founder••••••••••••@••••.com88
00033Company 581 LLCwww.company33.comExec Name 33VP of Marketing••••••••••••@••••.com81
00034Company 605 LLCwww.company34.comExec Name 34Founder••••••••••••@••••.com82
00035Company 249 LLCwww.company35.comExec Name 35CEO••••••••••••@••••.com89
00036Company 68 LLCwww.company36.comExec Name 36VP of Marketing••••••••••••@••••.com99
00037Company 563 LLCwww.company37.comExec Name 37CEO••••••••••••@••••.com90
00038Company 471 LLCwww.company38.comExec Name 38Founder••••••••••••@••••.com94
00039Company 733 LLCwww.company39.comExec Name 39VP of Marketing••••••••••••@••••.com82
00040Company 344 LLCwww.company40.comExec Name 40Founder••••••••••••@••••.com82
00041Company 502 LLCwww.company41.comExec Name 41CEO••••••••••••@••••.com94
00042Company 370 LLCwww.company42.comExec Name 42VP of Marketing••••••••••••@••••.com80
00043Company 638 LLCwww.company43.comExec Name 43CEO••••••••••••@••••.com94
00044Company 742 LLCwww.company44.comExec Name 44Founder••••••••••••@••••.com87
00045Company 57 LLCwww.company45.comExec Name 45VP of Marketing••••••••••••@••••.com99
00046Company 439 LLCwww.company46.comExec Name 46Founder••••••••••••@••••.com88
00047Company 933 LLCwww.company47.comExec Name 47CEO••••••••••••@••••.com94
00048Company 51 LLCwww.company48.comExec Name 48VP of Marketing••••••••••••@••••.com81
00049Company 136 LLCwww.company49.comExec Name 49CEO••••••••••••@••••.com97
00050Company 505 LLCwww.company50.comExec Name 50Founder••••••••••••@••••.com97
[ 49,950 ROWS LOCKED ]
>_ SYSTEM.ANALYSIS.LOG_

Scraping hospital emails is a pain in the ass. Most sites hide them behind contact forms or PDFs. We had to build a parser that reads PDFs and extracts mailto links. It's not perfect, but we get about 87% accuracy. The rest are bounced, but we replace them.

We started with the AHA directory, but it's a walled garden. So we crawled state health department sites, hospital websites, and even LinkedIn (carefully). The deduplication was the worst part. Two hospitals merge, and you get duplicate contacts. We wrote a fuzzy matching script that uses NPI numbers to keep it clean.

The data is as of last month. We update quarterly, but if you need fresher, we can do a custom run. Just don't ask for real-time. That's not how this works. You want a list that works, not a list that's constantly changing. We keep it stable.

Data Schema & Dictionary

hospital_name

The legal name of the hospital. Use this to verify you're not emailing a clinic or a nursing home. It's the primary key for your dedupe.

npi_number

National Provider Identifier. A 10-digit number that's unique to each provider. If you're doing any kind of HIPAA-related outreach, this is your anchor. It also helps you cross-reference with other datasets.

contact_email

The main email address for the hospital's admin or marketing department. This is the one that actually gets read. Don't use the generic info@ because that goes to a black hole. We've tested.

phone_number

The hospital's main switchboard number. Good for a follow-up call if email bounces. But don't call it unless you have to. They hate cold calls.

city

The city where the hospital is located. Filter by this if you're targeting a specific region. Also useful for calculating time zones.

state

The two-letter state abbreviation. Helps with regional compliance and local regulations. Also good for segmenting your campaigns.

bed_count

Number of licensed beds. This tells you the size of the hospital. Bigger hospitals have bigger budgets, but also slower decision-making. Use this to prioritize.

hospital_type

Acute care, psychiatric, rehabilitation, etc. This is important because the buying process differs drastically. A rehab center's admin is not the same as a general hospital's.

Frequently Asked Questions

How fresh is this data?
We scrape it on the 1st of the month. If it bounces, tell us and we swap the credit. Simple. But don't expect real-time updates. If you need that, you're in the wrong place.
Are these emails verified?
We verify them at the time of scrape using SMTP checks. But emails go stale. That's why we give you a bounce replacement guarantee. If you get more than 5% bounce rate, we'll work with you to fix it. Not that we expect it, but it's there.
Can I get a sample before buying?
Sure. Send us a request with your work email and we'll send you 50 random rows. But don't waste our time if you're just collecting samples. We're not a free trial service.
Is this data HIPAA compliant?
The data is publicly available information. We don't include any patient data. So, yes, it's safe for marketing use. But what you do with it is your responsibility. Don't be an idiot.

Related Local Datasets

buy real estate leadsbuy leads for real estatebuy leads real estatebuy life insurance leadsbuy leads for life insurancebuy mortgage leadsbuy leads for insurancebuy leads insurance