Openmart
Openmart · Coding · Marketing
Openmart is a local business data platform that gives sales teams a searchable database of 50M+ US small businesses, with owner emails, phone numbers, and an API for exports.
About Openmart
What Is Openmart
Openmart is a data company that indexes small and local businesses in the United States and sells access to that index. It targets B2B lead generation aimed at shops and clinics rather than at software companies. The company started at the end of 2023, went through Y Combinator's W24 batch, and works out of San Francisco. Its site claims 50M+ business records across 500+ categories, with 36 to 50 data fields on each one.
The gap it fills is specific. Tools like Apollo and ZoomInfo track companies with a LinkedIn presence, a funding history, and a marketing team. A dentist in Fresno, a roofing contractor in Ohio, and a family-owned hardware store usually have none of that. Their information sits in city registrations, review profiles, and their own websites instead. Openmart scrapes those sources, merges the records, and adds signals such as revenue estimates, employee counts, and the software a business runs.
The limits matter as much as the coverage. Everything is US-focused, contact details exist only where a business publishes them, and heavy exports run through a credit system that you should budget for before committing a team. Data accuracy is quoted at 97 to 99% by the company, and that number comes from Openmart rather than an independent audit.
Getting Started
- Create a free account at app.openmart.com. The free tier gives you 200 credits and 50 searches a month, and it doesn't ask for a card.
- Search by business category and location, then narrow the list with filters for revenue band, employee count, or business size.
- Select the records you want and reveal contact details. Emails and phone numbers each draw credits from your balance.
- Export the finished list as a CSV, or pull the same records into your own tools through the API.
Product Information
A quick look at Openmart's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Sales teams at companies that sell to local businesses
- Franchise and multi-unit expansion teams
- Data and ops engineers
Tasks
- Building a prospect list for a new territory
- Cleaning an old CRM
- Mapping a local market
- Feeding an app or model
Scenarios
- A rep starts in a new state next month
- An agency pitches independent restaurants
- A supplier needs independent retail accounts
Key features
50M+ Local Business Database
The core product is a searchable index of US small businesses organized by 500+ categories. You filter by location, industry, revenue estimate, and employee count, and the results come back as a list you can work through. Coverage is the selling point here: single-location shops that enterprise databases skip make up most of the records, which is why SMB prospecting is the main use case.
Contact Enrichment
Openmart fills in the details a raw listing lacks, and doubles as a business email finder for lists you already own. Depending on what a business publishes, a record can carry a company email, a phone number, a website, social profiles, an estimated revenue band, an employee range, and the tech stack in use. Empty fields are common for very small shops, so treat enrichment as a way to improve a list, not to complete it.
Prebuilt Datasets
Instead of building a list record by record, you can download a ready-made dataset for a category and location, such as dental practices in Texas or gyms in the Pacific Northwest. The company says these datasets refresh weekly, which keeps opening hours, ratings, and review counts from going stale.
Local Business Data API
The REST API exposes four documented calls: search businesses by query and location, look up a record by Google Place ID, look up a record by Openmart ID, and enrich a company with emails, socials, and contact details. The company advertises 99.9% uptime. For product teams, this is the difference between a spreadsheet workflow and an automated one.
AI Research Agent
A newer sales intelligence layer lets you ask a market question in plain language, such as hair salons in San Francisco with two or more locations and revenue between $1M and $10M. It returns a ranked list with scores based on size, reviews, and online presence, plus exportable files. Access is invite only as of this writing, so don't build a process around it yet.
Credit-Based Export
Contact reveals and exports run on credits rather than seat count. A company email costs about 0.3 credits, which puts the Starter allowance of 5,000 credits near 16,000 emails a month on email pulls alone. Phone numbers cost more. This structure rewards teams that know exactly what they need and penalizes broad harvesting.
Pros and cons
Pros
- Covers the small local businesses that Apollo, ZoomInfo, and other B2B databases largely miss.
- Record depth goes past name and address, with revenue bands, employee counts, tech stack, and review signals on the same row.
- The API has clear endpoints, so you can embed the data in your own product instead of exporting spreadsheets forever.
- The free tier gives 200 credits, enough to test data quality in your own market before you pay.
- Weekly refreshes keep hours, ratings, and review counts usable for outreach that depends on current details.
Cons
- Credits make the real monthly bill hard to predict, and heavy email or phone pulls burn the allowance well before the plan's headline search limits.
- Coverage stops at the US border, which rules it out for teams selling into Canada, the UK, or Europe.
- Contact fields are only as good as what a business publishes, so a share of records comes back without an email or a direct phone number.
- There's no full two-way CRM sync. Contacts leave as CSV or through the API, which means a manual step for Salesforce and HubSpot users.
Frequently asked questions
It's a local lead generation tool for businesses in the US. Sales teams build prospect lists by category and city, pull contact details, and export the result for outreach. Data teams use the API to feed internal tools and models.
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