US SNAP Retailer Leads Scraper — Grocery, Convenience & Food-Retail B2B Data

Extract every US store authorized to accept SNAP / EBT benefits straight from the official USDA FNS SNAP Retailer Location data — the federal list of ~255,000 active SNAP retailers. Every store comes back as a ready-to-use B2B lead: store name, full street address, county, ZIP, latitude/longitude, a normalized store type (convenience store, grocery store, supermarket, super store, specialty store, farmers market, restaurant meals program), size tier, nutrition-incentive-program flag, grantee and a derived lead score.

No login, no cookies, no browser, no API key — fast, reliable extraction from the USDA FNS ArcGIS feature service.

Why this SNAP retailer scraper?

Independent grocers and convenience stores are one of the largest, hardest-to-list buyer pools in the country — and generic Google-Maps scrapers miss most of them or can't tell a supermarket from a corner store. This actor reads the official USDA regulatory dataset directly and ships the richest food-retail list in the category: every authorized store, classified by type and size, with exact address, county and coordinates, in one clean table.

Data	Maps / generic scrapers	This actor
Store name, full address, county, ZIP	partial	✅
Latitude / longitude (from the federal record)	sometimes	✅
Normalized store type (convenience / grocery / supermarket / super store / specialty / farmers market)	❌	✅ 8 types
Store size tier (large / medium / small / restaurant)	❌	✅
SNAP / EBT authorized (verified)	❌	✅ every row
Nutrition-incentive program (GusNIP / Double Up)	❌	✅
Grantee / direct-marketing operator	❌	✅
Derived lead score + lead signals	❌	✅
Only-new / changed monitoring mode	❌	✅
Whole-country coverage in one run	❌	✅ 50 states + DC + GU + VI

Who buys SNAP-retailer data?

• C-store & grocery distributors / wholesalers — DSD and route-sales teams target convenience stores and independent grocers by store type, city and county.
• POS, payments, ATM, lottery & EBT processors — every authorized store runs payments; new SNAP authorizations are in-market for terminals and merchant services.
• Small-business lenders & merchant cash advance — convenience stores and independent grocers are a core funding niche; address + store type qualifies the list.
• Business insurance & franchise development — segment retail risk and recruit independent operators by format and geography.
• Food & beverage brands and brokers (CPG) — find every retail door in a territory to plan placement, sampling and DSD.
• Refrigeration, shelving, signage, security & store-build vendors — every store is a recurring equipment account.
• Nutrition-incentive & local-food tech — target farmers markets and incentive-program stores (GusNIP / Double Up Food Bucks).
• Market & competitive intelligence — map retail density by store type and watch newly authorized stores each month.

How to use

1. Sign up for Apify — the free plan is enough to try this actor.
2. Open the US SNAP Retailer Leads Scraper, set one or more states (or leave empty for the whole country), optionally pick store types or a size filter, and choose your limit.
3. Click Start and watch retailer records stream into the dataset table.
4. Export as JSON, CSV, Excel, XML, or RSS — or pull results programmatically via the Apify API.

Input

{
    "states": ["CA", "TX"],
    "storeTypes": ["convenienceStore", "supermarket", "groceryStore"],
    "sortBy": "leadScore",
    "maxResults": 1000
}

• states — two-letter state codes (e.g. ["CA","TX"]). Leave empty to scrape all 50 states + DC + Guam + U.S. Virgin Islands.
• storeTypes — keep only convenienceStore, groceryStore, supermarket, superStore, specialtyStore, farmersMarket, restaurantMealsProgram, other.
• storeSizeTiers — large (super stores & supermarkets), medium (grocery stores), small (convenience, specialty & farmers markets), restaurant.
• cities / counties / zipCodes / nameQuery — location and name filters (e.g. nameQuery: "dollar general").
• recordIds — look up specific stores by USDA Record ID.
• incentiveProgramsOnly — only stores enrolled in a SNAP nutrition-incentive program (GusNIP / Double Up).
• withGeoOnly — only stores that have latitude/longitude.
• minLeadScore / maxResults / maxResultsPerState / sortBy / deduplicateResults — output controls. Sort by leadScore (default), name, state, or source.
• monitorMode / monitorKey — only return stores that are new or changed since the last run.
• proxyConfiguration — optional; the USDA FNS service needs no proxy, so leave it off for the fastest queries.

Output

By default you get one clean, dense table of retailers — every column applies to every row. A retailer record:

{
    "recordType": "snapRetailer",
    "recordId": 1699256,
    "storeName": "Maverik Group LLC 806",
    "storeType": "Convenience Store",
    "storeCategory": "convenienceStore",
    "storeCategoryLabel": "Convenience Store",
    "storeSizeTier": "small",
    "isConvenienceStore": true,
    "street": "8900 Hwy 374",
    "city": "Green River",
    "state": "WY",
    "stateName": "Wyoming",
    "zip": "82935",
    "county": "Sweetwater",
    "fullAddress": "8900 Hwy 374, Green River, WY, 82935",
    "latitude": 41.528362,
    "longitude": -109.46607,
    "hasGeo": true,
    "incentiveProgram": null,
    "participatesInIncentiveProgram": false,
    "snapAuthorized": true,
    "acceptsEbt": true,
    "leadScore": 83,
    "leadSignals": ["Convenience Store", "Convenience store (high-frequency buyer of POS, ATM, distribution & financing)"],
    "scrapedAt": "2026-06-21T00:00:00.000Z"
}

Every record also carries the raw USDA source attributes under sourceFields unless you turn off includeRawFields. Switch the dataset view to Retailers, Retail leads, or Location & geo for a focused table.

What to expect (field coverage)

The SNAP retailer file is a regulatory dataset, so the core firmographic fields are near-complete.

Field group	Coverage
Store name, street address, city, state, ZIP, store type	✅ ~100%
County, latitude/longitude	✅ high
Size tier (derived from store type)	✅ ~100%
Incentive program / grantee	present where the store participates
Phone / email	❌ not published in this federal dataset

The USDA SNAP retailer file does not include phone or email — we never fabricate contact data. It is the authoritative store-and-location list; append contacts downstream or pair it with one of the contact-bearing scrapers below. A blank field means USDA doesn't publish that value, not that scraping failed.

Automate & schedule

Run this actor on autopilot and pull results into your own stack:

• Apify API — start runs, fetch datasets, and manage schedules over REST.
• apify-client for JavaScript and apify-client for Python — official SDKs.
• Schedules — run it monthly with monitoring mode to capture newly SNAP-authorized stores as fresh leads.
• Webhooks — trigger downstream actions (CRM import, Slack alert, email sequence) the moment a run finishes.

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'MY_APIFY_TOKEN' });

const run = await client.actor('scrapesage/snap-retailer-leads-scraper').call({
    states: ['CA'],
    storeTypes: ['convenienceStore'],
    sortBy: 'leadScore',
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Got ${items.length} retailers`);

Integrate with any app

Connect the dataset to 5,000+ apps — no code required:

• Make — multi-step automation scenarios.
• Zapier — push new retail leads straight into your CRM.
• Slack — get notified when a monitored state gets a new or changed store.
• Google Drive / Sheets — auto-export every run to a spreadsheet.
• Airbyte — pipe results into your data warehouse.
• GitHub — trigger runs from commits or releases.

Use with AI assistants (MCP)

The output is clean, LLM-ready JSON. Call this actor from Claude, ChatGPT, or any agent framework through the Apify MCP server — ask your assistant to "find every convenience store in Texas with a lead score over 80 and coordinates" and let it run the scraper for you.

More scrapers from scrapesage

Build a complete food-retail, government-data & B2B lead-gen stack:

• US Business Formation Scraper — newly-registered companies and LLCs as fresh leads.
• Texas Business Leads Scraper — active Texas businesses by NAICS industry + new-business feed.
• FSIS Establishment Scraper — USDA meat, poultry & egg plants (food manufacturers) with contacts.
• US Restaurant Inspection Scraper — restaurants with health-inspection grades and new-opening signals.
• US Organic Operations Scraper — USDA-certified organic farms and food businesses with contacts.
• ImportYeti Scraper — US import records, suppliers and B2B leads.
• SBA Loan Leads Scraper — 7(a) & 504 financed small businesses (financing-intent leads).
• PPP Loan Data Scraper — small-business firmographics and lender data.
• US Property Records Scraper — parcels, owners and absentee-owner leads.
• FMCSA Trucking Scraper — motor carriers and trucking-company leads.

Tips

• Start with a state + store type (e.g. TX + convenienceStore) for a fast, focused list, then layer on city, county or ZIP filters.
• Big retail accounts: set storeSizeTiers: ["large"] to target supermarkets and super stores — the biggest CPG, distribution and equipment buyers.
• Independent-operator outreach: filter to convenienceStore and groceryStore — the prime pool for POS, payments, ATM, lottery and small-business financing.
• Local-food & incentive tech: set incentiveProgramsOnly: true or storeTypes: ["farmersMarket"] to find direct-marketing farmers and GusNIP/Double Up stores.
• Recurring monitoring: combine Schedules with monitorMode to capture only stores added or changed since the last run — perfect for catching newly authorized stores each month.

FAQ

Where does the data come from? From the U.S. USDA Food and Nutrition Service (FNS) "SNAP Retailer Location data", the official national list of stores authorized to accept Supplemental Nutrition Assistance Program (SNAP / EBT) benefits, published on ArcGIS.

Does it need an API key or login? No. The USDA FNS feature service is queried directly — no key, no login, no browser.

How fresh is it? USDA refreshes the SNAP retailer feature service regularly as stores are authorized and removed. Run on a Schedule with monitoring mode to capture newly authorized stores as they post.

Does it include phone numbers or emails? No — this federal dataset is a store-and-location file. It carries store name, type, full address and coordinates, but not phone or email. We never fabricate contact data.

What store types are covered? Convenience stores, grocery stores, supermarkets, super stores / supercenters, specialty food stores, farmers markets / direct-marketing farmers, Restaurant Meals Program locations, and other authorized retailers.

Can I export to Google Sheets, CSV, or Excel? Yes — one click in the dataset view, or automatically on every run via the Google Drive integration.

A field is empty — why? A store only carries data USDA publishes for it (e.g. no incentive program if it doesn't participate). Blank means USDA has no value, never that scraping failed.

Is scraping this data legal? This actor collects publicly available U.S. government data. You're responsible for using it in compliance with applicable laws and USDA's terms.

Need help?

Open an issue on the actor's Issues tab, or visit the Apify help center. Feature requests are welcome — this actor is actively maintained.