HOME/LOCAL/DATABASE OF SUPERMARKETS EMAIL LIST

Database Of Supermarkets Email List

DATABASE ID: LOCAL-DATA | RECORDS: 50,000 | LAST VERIFIED: TODAY
IDCompanyWebsiteKey ContactTitleVerified EmailIntent Score
00001Company 822 LLCwww.company1.comExec Name 1CEOexec1@company1.com87
00002Company 844 LLCwww.company2.comExec Name 2Founderexec2@company2.com80
00003Company 692 LLCwww.company3.comExec Name 3VP of Marketingexec3@company3.com92
00004Company 621 LLCwww.company4.comExec Name 4Founderexec4@company4.com82
00005Company 459 LLCwww.company5.comExec Name 5CEOexec5@company5.com80
00006Company 327 LLCwww.company6.comExec Name 6VP of Marketing••••••••••••@••••.com89
00007Company 939 LLCwww.company7.comExec Name 7CEO••••••••••••@••••.com82
00008Company 344 LLCwww.company8.comExec Name 8Founder••••••••••••@••••.com88
00009Company 5 LLCwww.company9.comExec Name 9VP of Marketing••••••••••••@••••.com99
00010Company 791 LLCwww.company10.comExec Name 10Founder••••••••••••@••••.com92
00011Company 977 LLCwww.company11.comExec Name 11CEO••••••••••••@••••.com86
00012Company 597 LLCwww.company12.comExec Name 12VP of Marketing••••••••••••@••••.com89
00013Company 46 LLCwww.company13.comExec Name 13CEO••••••••••••@••••.com84
00014Company 880 LLCwww.company14.comExec Name 14Founder••••••••••••@••••.com84
00015Company 474 LLCwww.company15.comExec Name 15VP of Marketing••••••••••••@••••.com92
00016Company 974 LLCwww.company16.comExec Name 16Founder••••••••••••@••••.com97
00017Company 164 LLCwww.company17.comExec Name 17CEO••••••••••••@••••.com87
00018Company 510 LLCwww.company18.comExec Name 18VP of Marketing••••••••••••@••••.com93
00019Company 425 LLCwww.company19.comExec Name 19CEO••••••••••••@••••.com85
00020Company 21 LLCwww.company20.comExec Name 20Founder••••••••••••@••••.com92
00021Company 74 LLCwww.company21.comExec Name 21VP of Marketing••••••••••••@••••.com93
00022Company 773 LLCwww.company22.comExec Name 22Founder••••••••••••@••••.com90
00023Company 301 LLCwww.company23.comExec Name 23CEO••••••••••••@••••.com83
00024Company 672 LLCwww.company24.comExec Name 24VP of Marketing••••••••••••@••••.com81
00025Company 303 LLCwww.company25.comExec Name 25CEO••••••••••••@••••.com93
00026Company 409 LLCwww.company26.comExec Name 26Founder••••••••••••@••••.com88
00027Company 642 LLCwww.company27.comExec Name 27VP of Marketing••••••••••••@••••.com99
00028Company 890 LLCwww.company28.comExec Name 28Founder••••••••••••@••••.com81
00029Company 885 LLCwww.company29.comExec Name 29CEO••••••••••••@••••.com91
00030Company 170 LLCwww.company30.comExec Name 30VP of Marketing••••••••••••@••••.com84
00031Company 729 LLCwww.company31.comExec Name 31CEO••••••••••••@••••.com80
00032Company 994 LLCwww.company32.comExec Name 32Founder••••••••••••@••••.com97
00033Company 721 LLCwww.company33.comExec Name 33VP of Marketing••••••••••••@••••.com80
00034Company 47 LLCwww.company34.comExec Name 34Founder••••••••••••@••••.com86
00035Company 402 LLCwww.company35.comExec Name 35CEO••••••••••••@••••.com86
00036Company 151 LLCwww.company36.comExec Name 36VP of Marketing••••••••••••@••••.com89
00037Company 353 LLCwww.company37.comExec Name 37CEO••••••••••••@••••.com92
00038Company 993 LLCwww.company38.comExec Name 38Founder••••••••••••@••••.com86
00039Company 81 LLCwww.company39.comExec Name 39VP of Marketing••••••••••••@••••.com98
00040Company 614 LLCwww.company40.comExec Name 40Founder••••••••••••@••••.com92
00041Company 166 LLCwww.company41.comExec Name 41CEO••••••••••••@••••.com89
00042Company 134 LLCwww.company42.comExec Name 42VP of Marketing••••••••••••@••••.com96
00043Company 526 LLCwww.company43.comExec Name 43CEO••••••••••••@••••.com87
00044Company 19 LLCwww.company44.comExec Name 44Founder••••••••••••@••••.com94
00045Company 488 LLCwww.company45.comExec Name 45VP of Marketing••••••••••••@••••.com84
00046Company 512 LLCwww.company46.comExec Name 46Founder••••••••••••@••••.com97
00047Company 280 LLCwww.company47.comExec Name 47CEO••••••••••••@••••.com96
00048Company 575 LLCwww.company48.comExec Name 48VP of Marketing••••••••••••@••••.com93
00049Company 496 LLCwww.company49.comExec Name 49CEO••••••••••••@••••.com86
00050Company 869 LLCwww.company50.comExec Name 50Founder••••••••••••@••••.com98
[ 49,950 ROWS LOCKED ]
>_ SYSTEM.ANALYSIS.LOG_

Scraping supermarket emails is a pain because most chains hide contacts behind generic forms and use catch-all addresses. We spent weeks reverse-engineering their CMS and finally cracked the pattern to extract direct store manager emails from the store locator pages. It's not perfect, but it's the best you'll find.

The tricky part was deduplicating chains that operate under multiple banners (e.g., Kroger vs. Ralphs). We normalized parent companies and filtered out role-based addresses like info@ or contact@. The result is a clean list of 85% direct decision-maker emails, mostly store managers and regional buyers.

We also cross-referenced each email against a bounce list and ran a validation service. Roughly 2% of the emails are still risky, but we offer a 95% deliverability guarantee. If you find a hard bounce, we replace the contact. That's the deal.

Data Schema & Dictionary

store_name

The legal name of the supermarket branch. You need this to personalize your pitch. No one responds to 'Dear Sir/Madam'.

parent_company

The ultimate parent group (e.g., Ahold Delhaize). Useful for targeting chains or avoiding duplicates. Sales loves this for account-based play.

email

Direct email of the store manager or regional buyer. This is the gold. We stripped generic info@ addresses. Use it wisely.

phone_number

Direct line to the store. Sometimes it's the front desk, but it's better than nothing. For cold calls, ask for the manager by name.

street_address

Physical address of the store. Useful for territory mapping or local offers. Also helps you verify the store actually exists.

city

City where the store operates. Filter by city to run local campaigns. If you're selling regional products, this is your bread and butter.

state

US state or region. Essential for compliance with state-specific sales tax or regulations. Also helps segment your outreach.

zip_code

Postal code. Combine with city and state for precise geo-targeting. Good for logistics or event planning.

store_type

Categorizes the store as 'supermarket', 'hypermarket', 'discount', etc. Helps tailor your value prop. A discount store cares about price, not premium features.

employee_count

Approximate number of employees at the store. Indicates size and purchasing power. Larger stores have bigger budgets.

annual_revenue

Estimated annual revenue for the store. Great for lead scoring. You don't want to pitch a $1M store if your product needs $10M revenue to make sense.

last_verified

Date the email was last checked and confirmed valid. We update this every month. If it's older than 90 days, expect some bounces.

Frequently Asked Questions

How fresh is this data?
We scrape on the 1st of every month and run validation within 48 hours. The 'last_verified' column shows the date. If you find a hard bounce, tell us within 30 days of purchase and we'll swap that record for a fresh one. No hoops.
Can I get a sample before buying?
Sure. We'll send you 50 random records so you can check the quality yourself. Just email me at the address on the site. I'll send a CSV. No phone calls, no sales pitch.
What's the deliverability guarantee?
We guarantee 95% deliverability on the day of purchase. That means if you send a test email to 100 addresses and more than 5 bounce, we'll replace those with valid ones. We track this ourselves and we're honest about it.
How did you get these emails? Are they publicly available?
We scrape only publicly available information: store locator pages, press releases, and business directories. We don't hack or buy lists. All emails are business contacts, not personal. You're safe to use them for B2B outreach.
Can I filter the database by chain or region?
The CSV includes parent_company, city, state, and zip. You can filter in Excel or whatever tool you use. If you need a custom extract, we can do that for an extra fee. Just ask.

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