HOME/LOCAL/DATABASE OF SUPERMARKETS CONTACT LIST

Database Of Supermarkets Contact List

DATABASE ID: LOCAL-DATA | RECORDS: 50,000 | LAST VERIFIED: TODAY
IDCompanyWebsiteKey ContactTitleVerified EmailIntent Score
00001Company 782 LLCwww.company1.comExec Name 1CEOexec1@company1.com80
00002Company 735 LLCwww.company2.comExec Name 2Founderexec2@company2.com84
00003Company 983 LLCwww.company3.comExec Name 3VP of Marketingexec3@company3.com97
00004Company 283 LLCwww.company4.comExec Name 4Founderexec4@company4.com88
00005Company 408 LLCwww.company5.comExec Name 5CEOexec5@company5.com92
00006Company 323 LLCwww.company6.comExec Name 6VP of Marketing••••••••••••@••••.com96
00007Company 919 LLCwww.company7.comExec Name 7CEO••••••••••••@••••.com87
00008Company 974 LLCwww.company8.comExec Name 8Founder••••••••••••@••••.com92
00009Company 456 LLCwww.company9.comExec Name 9VP of Marketing••••••••••••@••••.com93
00010Company 601 LLCwww.company10.comExec Name 10Founder••••••••••••@••••.com98
00011Company 350 LLCwww.company11.comExec Name 11CEO••••••••••••@••••.com84
00012Company 48 LLCwww.company12.comExec Name 12VP of Marketing••••••••••••@••••.com92
00013Company 205 LLCwww.company13.comExec Name 13CEO••••••••••••@••••.com80
00014Company 297 LLCwww.company14.comExec Name 14Founder••••••••••••@••••.com98
00015Company 310 LLCwww.company15.comExec Name 15VP of Marketing••••••••••••@••••.com95
00016Company 469 LLCwww.company16.comExec Name 16Founder••••••••••••@••••.com98
00017Company 222 LLCwww.company17.comExec Name 17CEO••••••••••••@••••.com95
00018Company 253 LLCwww.company18.comExec Name 18VP of Marketing••••••••••••@••••.com95
00019Company 385 LLCwww.company19.comExec Name 19CEO••••••••••••@••••.com80
00020Company 701 LLCwww.company20.comExec Name 20Founder••••••••••••@••••.com83
00021Company 551 LLCwww.company21.comExec Name 21VP of Marketing••••••••••••@••••.com90
00022Company 692 LLCwww.company22.comExec Name 22Founder••••••••••••@••••.com97
00023Company 162 LLCwww.company23.comExec Name 23CEO••••••••••••@••••.com97
00024Company 806 LLCwww.company24.comExec Name 24VP of Marketing••••••••••••@••••.com86
00025Company 611 LLCwww.company25.comExec Name 25CEO••••••••••••@••••.com98
00026Company 414 LLCwww.company26.comExec Name 26Founder••••••••••••@••••.com87
00027Company 154 LLCwww.company27.comExec Name 27VP of Marketing••••••••••••@••••.com95
00028Company 179 LLCwww.company28.comExec Name 28Founder••••••••••••@••••.com93
00029Company 838 LLCwww.company29.comExec Name 29CEO••••••••••••@••••.com82
00030Company 441 LLCwww.company30.comExec Name 30VP of Marketing••••••••••••@••••.com87
00031Company 318 LLCwww.company31.comExec Name 31CEO••••••••••••@••••.com85
00032Company 740 LLCwww.company32.comExec Name 32Founder••••••••••••@••••.com96
00033Company 619 LLCwww.company33.comExec Name 33VP of Marketing••••••••••••@••••.com80
00034Company 998 LLCwww.company34.comExec Name 34Founder••••••••••••@••••.com92
00035Company 76 LLCwww.company35.comExec Name 35CEO••••••••••••@••••.com81
00036Company 635 LLCwww.company36.comExec Name 36VP of Marketing••••••••••••@••••.com92
00037Company 647 LLCwww.company37.comExec Name 37CEO••••••••••••@••••.com86
00038Company 162 LLCwww.company38.comExec Name 38Founder••••••••••••@••••.com80
00039Company 402 LLCwww.company39.comExec Name 39VP of Marketing••••••••••••@••••.com86
00040Company 317 LLCwww.company40.comExec Name 40Founder••••••••••••@••••.com95
00041Company 103 LLCwww.company41.comExec Name 41CEO••••••••••••@••••.com82
00042Company 460 LLCwww.company42.comExec Name 42VP of Marketing••••••••••••@••••.com83
00043Company 425 LLCwww.company43.comExec Name 43CEO••••••••••••@••••.com90
00044Company 741 LLCwww.company44.comExec Name 44Founder••••••••••••@••••.com98
00045Company 184 LLCwww.company45.comExec Name 45VP of Marketing••••••••••••@••••.com85
00046Company 33 LLCwww.company46.comExec Name 46Founder••••••••••••@••••.com90
00047Company 851 LLCwww.company47.comExec Name 47CEO••••••••••••@••••.com88
00048Company 776 LLCwww.company48.comExec Name 48VP of Marketing••••••••••••@••••.com90
00049Company 975 LLCwww.company49.comExec Name 49CEO••••••••••••@••••.com99
00050Company 145 LLCwww.company50.comExec Name 50Founder••••••••••••@••••.com85
[ 49,950 ROWS LOCKED ]
>_ SYSTEM.ANALYSIS.LOG_

Scraping supermarket chains is a mess. Each chain hides their store locations behind a different CMS, some require JS rendering, others block our IPs after 100 requests. We finally cracked the major players by combining Google Maps API with their sitemaps. It's not perfect, but it gives us the store names and addresses.

The biggest pain was normalizing phone numbers and emails. Half the stores list a central office number, not the store's direct line. We cross-referenced with Yelp and Yellow Pages to get the real store-level contacts. Took us 3 months to build the pipeline, but now it runs monthly without manual intervention.

We also had to deal with duplicate stores when chains merge or rebrand. Our dedup algorithm keeps the latest entry and flags potential duplicates for review. It's not perfect, but it cuts the noise by 40%. If you find a duplicate, send us a ticket and we'll fix it in the next refresh.

Data Schema & Dictionary

store_name

The official name of the supermarket store as listed on their website. This is the brand you're targeting, not the parent company.

address

Street address of the store. It's the physical location where you'd send mail or a sales rep. If you're scraping for territory mapping, this is your key.

city

City where the store is located. Useful for regional sales campaigns or filtering by metro area.

state

Two-letter state abbreviation (e.g., CA). If you need full state names, that's on you to map.

zip_code

Postal code. Critical for direct mail and logistics. We've cleaned up the formatting to be consistent 5-digit codes.

phone

Direct phone number for the store, not the corporate HQ. We've stripped out extraneous digits and formatted it as (xxx) xxx-xxxx.

email

Store-specific email address if publicly listed. Many stores don't publish one, so this field may be empty. Use phone for those.

chain_name

The parent chain or banner (e.g., 'Kroger', 'Safeway'). Useful for grouping stores and understanding your coverage.

Frequently Asked Questions

How fresh is this data?
We scrape on the 1st of every month. If you find a bounce, tell us and we swap the credit. Simple.
How many records are in the CSV?
Currently about 120k store-level records across the US. We're adding more regions quarterly.
Can I get a sample before buying?
Sure, drop your email and we'll send a 50-row sample. No strings attached, but you'll have to wait a day because we do it manually.
What format is the CSV in?
Standard CSV with UTF-8 encoding. Columns are quoted if they contain commas. You can open it in Excel or Google Sheets without issues.
Do you provide the data as an API?
No, it's a static CSV. If you need an API, you're on your own. We're a data provider, not a SaaS.

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