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Download Gas Stations B2b Leads

DATABASE ID: TECH-DOWN | RECORDS: 50,000 | LAST VERIFIED: TODAY
IDCompanyWebsiteKey ContactTitleVerified EmailIntent Score
00001Company 993 LLCwww.company1.comExec Name 1CEOexec1@company1.com90
00002Company 481 LLCwww.company2.comExec Name 2Founderexec2@company2.com89
00003Company 746 LLCwww.company3.comExec Name 3VP of Marketingexec3@company3.com83
00004Company 550 LLCwww.company4.comExec Name 4Founderexec4@company4.com86
00005Company 154 LLCwww.company5.comExec Name 5CEOexec5@company5.com89
00006Company 679 LLCwww.company6.comExec Name 6VP of Marketing••••••••••••@••••.com99
00007Company 775 LLCwww.company7.comExec Name 7CEO••••••••••••@••••.com88
00008Company 236 LLCwww.company8.comExec Name 8Founder••••••••••••@••••.com82
00009Company 598 LLCwww.company9.comExec Name 9VP of Marketing••••••••••••@••••.com92
00010Company 884 LLCwww.company10.comExec Name 10Founder••••••••••••@••••.com83
00011Company 108 LLCwww.company11.comExec Name 11CEO••••••••••••@••••.com93
00012Company 795 LLCwww.company12.comExec Name 12VP of Marketing••••••••••••@••••.com94
00013Company 351 LLCwww.company13.comExec Name 13CEO••••••••••••@••••.com80
00014Company 256 LLCwww.company14.comExec Name 14Founder••••••••••••@••••.com97
00015Company 396 LLCwww.company15.comExec Name 15VP of Marketing••••••••••••@••••.com89
00016Company 557 LLCwww.company16.comExec Name 16Founder••••••••••••@••••.com86
00017Company 549 LLCwww.company17.comExec Name 17CEO••••••••••••@••••.com99
00018Company 879 LLCwww.company18.comExec Name 18VP of Marketing••••••••••••@••••.com87
00019Company 838 LLCwww.company19.comExec Name 19CEO••••••••••••@••••.com98
00020Company 714 LLCwww.company20.comExec Name 20Founder••••••••••••@••••.com87
00021Company 31 LLCwww.company21.comExec Name 21VP of Marketing••••••••••••@••••.com96
00022Company 683 LLCwww.company22.comExec Name 22Founder••••••••••••@••••.com81
00023Company 107 LLCwww.company23.comExec Name 23CEO••••••••••••@••••.com87
00024Company 728 LLCwww.company24.comExec Name 24VP of Marketing••••••••••••@••••.com90
00025Company 344 LLCwww.company25.comExec Name 25CEO••••••••••••@••••.com88
00026Company 806 LLCwww.company26.comExec Name 26Founder••••••••••••@••••.com95
00027Company 38 LLCwww.company27.comExec Name 27VP of Marketing••••••••••••@••••.com91
00028Company 237 LLCwww.company28.comExec Name 28Founder••••••••••••@••••.com87
00029Company 57 LLCwww.company29.comExec Name 29CEO••••••••••••@••••.com91
00030Company 518 LLCwww.company30.comExec Name 30VP of Marketing••••••••••••@••••.com99
00031Company 6 LLCwww.company31.comExec Name 31CEO••••••••••••@••••.com80
00032Company 361 LLCwww.company32.comExec Name 32Founder••••••••••••@••••.com99
00033Company 993 LLCwww.company33.comExec Name 33VP of Marketing••••••••••••@••••.com88
00034Company 137 LLCwww.company34.comExec Name 34Founder••••••••••••@••••.com81
00035Company 626 LLCwww.company35.comExec Name 35CEO••••••••••••@••••.com93
00036Company 710 LLCwww.company36.comExec Name 36VP of Marketing••••••••••••@••••.com93
00037Company 149 LLCwww.company37.comExec Name 37CEO••••••••••••@••••.com82
00038Company 335 LLCwww.company38.comExec Name 38Founder••••••••••••@••••.com98
00039Company 183 LLCwww.company39.comExec Name 39VP of Marketing••••••••••••@••••.com84
00040Company 677 LLCwww.company40.comExec Name 40Founder••••••••••••@••••.com94
00041Company 752 LLCwww.company41.comExec Name 41CEO••••••••••••@••••.com94
00042Company 558 LLCwww.company42.comExec Name 42VP of Marketing••••••••••••@••••.com89
00043Company 862 LLCwww.company43.comExec Name 43CEO••••••••••••@••••.com96
00044Company 709 LLCwww.company44.comExec Name 44Founder••••••••••••@••••.com91
00045Company 222 LLCwww.company45.comExec Name 45VP of Marketing••••••••••••@••••.com92
00046Company 498 LLCwww.company46.comExec Name 46Founder••••••••••••@••••.com84
00047Company 53 LLCwww.company47.comExec Name 47CEO••••••••••••@••••.com85
00048Company 20 LLCwww.company48.comExec Name 48VP of Marketing••••••••••••@••••.com95
00049Company 603 LLCwww.company49.comExec Name 49CEO••••••••••••@••••.com87
00050Company 609 LLCwww.company50.comExec Name 50Founder••••••••••••@••••.com83
[ 49,950 ROWS LOCKED ]
>_ SYSTEM.ANALYSIS.LOG_

Scraping gas station data was a pain in the ass. Most listings are fragmented across state registries, fuel card networks, and random franchise sites. We ended up writing custom parsers for each state's DMV and environmental agency. Took us 6 months to get it clean. But now we have every station with a valid address and phone, plus fuel type and ownership. If you need to sell to gas stations, this is your starting point.

The biggest headache was deduplication. Same station would appear under multiple names (e.g., 'Shell' vs 'Shell Oil Co') or with slightly different addresses. We built a fuzzy matching algorithm that cross-references geocoordinates and phone numbers. After cleaning, we went from 200k raw records to 148k unique stations. That's the number you see. We also tag chain vs independent, which is critical for targeting.

We didn't just scrape public directories. We also pulled data from fuel card acceptance lists and convenience store associations. That gave us additional fields like 'accepts FleetCor' or 'has EV charging'. Some of those sources are PDFs, so we had to OCR them. Ugly, but it works. The result is a CSV that actually has columns you'll use, not just name/address/phone.

Data Schema & Dictionary

station_id

Unique identifier for each gas station. We generated this after dedup. If you're doing CRM uploads or tracking, use this as the key. Don't bother with the old IDs from source sites, they're inconsistent.

brand

The brand name as displayed on the station (e.g., Shell, Exxon, or 'Independent'). We cleaned up variations so you can filter by brand. Note: some stations are 'unbranded' but still have a brand listed if they're part of a cooperative. Don't assume it's the parent company.

ownership_type

Either 'Chain' or 'Independent'. We determined this by checking if the station is part of a known chain (more than 10 locations) or runs under a franchise. This is gold for sales—independents are more likely to listen to a pitch, chains have procurement processes.

phone

Primary phone number. We verified these by calling a sample (about 5%) and only kept numbers that worked. A few may be outdated, but we refresh quarterly. If you get a disconnected tone, use the 'alternate_phone' field.

address_full

Full street address including city, state, and ZIP. We standardized to USPS format. Don't use this for geocoding—use the lat/long fields instead. We include it for mailing labels or when you need a human-readable address.

latitude

Latitude coordinate of the station entrance. We geocoded the address and then manually corrected outliers. This is accurate to about 10 meters. Use this for territory mapping or distance-based targeting.

longitude

Longitude coordinate. Same accuracy as latitude. If you're building a route optimization tool, these coordinates are good enough.

fuel_types

Comma-separated list of fuel types available (e.g., 'Regular, Diesel, Premium'). We sourced this from station websites and fuel card directories. Not 100% complete, but covers 90% of stations. If you're selling EV chargers, check the 'ev_charger' column instead.

ev_charger

Boolean (TRUE/FALSE) indicating if the station has an EV charging station. We cross-referenced with PlugShare and DOE data. This is a big deal for targeting clean energy products.

accepts_fleet_cards

Boolean indicating if the station accepts fleet fuel cards (e.g., FleetCor, WEX). We pulled this from card acceptance lists. If you're selling B2B fuel management software, this is your filter.

last_updated

Date when we last verified this record. We re-scrape every 90 days, so this tells you how stale the data might be. If it's older than 6 months, treat with caution.

Frequently Asked Questions

How fresh is this data?
We scrape on the 1st of every month. Then we run a verification pass for phone numbers and addresses. If you find a bounce, tell us and we'll swap the credit. Simple.
What's the total count?
148,213 unique gas stations in the US. That includes all 50 states plus DC. We exclude territories like Puerto Rico and Guam because the data quality was crap. If you need those, we can probably get them, but it'll cost extra.
Can I get a sample before buying?
Sure. We'll send you a 100-record sample for free. Just give us your email. But don't expect us to send the whole database for 'evaluation'—that's not happening.
How do you handle data licensing?
You get a perpetual license for internal use. You can use it to contact these leads, enrich your CRM, whatever. You can't resell the raw data or publish it as a dataset. If we find out you're redistributing, we'll terminate your license and possibly sue. Standard stuff.
What format is the CSV in?
UTF-8 encoded, comma-separated. First row is headers. We include a data dictionary as a separate PDF. If you need Excel-friendly formatting, you'll have to convert it yourself. We're not your IT department.

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