Local Business Data: Sources and How to Build a Useful List

Choose the local business data task you need

Local business data describes businesses at particular locations: names, addresses, categories, coordinates, public contact channels, and operating details. To obtain a list, choose a source that accepts your geography and business category, then check whether the output represents branches, parent companies, or named contacts.

The same phrase can describe several jobs. Choose the intended output before comparing tools:

• Which cafés or repair shops operate in this area?. Required output: Individual locations with address/category/coordinates. Appropriate starting point: Local search API or licensed business dataset.

• Who owns those businesses, and how can I contact them?. Required output: Named people, roles, and professional contact fields. Appropriate starting point: A business-contact database with local SMB coverage.

• How do I keep my own address and hours consistent online?. Required output: Correct listings distributed to publishers. Appropriate starting point: Listing-management or distribution service.

• How do I describe my business on my website for search?. Required output: LocalBusiness structured data. Appropriate starting point: Google's markup documentation.

• Where should we open a store or support economic development?. Required output: Location records plus relevant population, traffic, spending, or administrative data. Appropriate starting point: A location-analysis product or a defined research dataset.

A restaurant's public phone number may reach its front desk. It does not identify its owner or establish annual revenue. Likewise, a list of restaurants supplies no direct measure of foot traffic or consumer spending. Decide which fields are essential and which require a separate source.

The distinction matters for civic work too. Bludot describes combining business records with municipal license data. Peclet's local-business app presents traffic, spending, and planning insights. Those are different outputs from a basic place-search response.

Documentation was checked on September 30, 2026. The collection example is unexecuted and the business records are fictional; no supplier-quality benchmark was run.

Fields to keep for each business location

Define the minimum useful record before selecting a source. A map feature needs geographic information; a sales territory list may also need a website and a suitable business contact channel.

• Source and source identifier. What to retain: Provider plus its location ID. Common interpretation issue: Identifiers from different providers are not automatically interchangeable.

• Location name. What to retain: Name shown for this branch. Common interpretation issue: A shared brand name can represent many locations.

• Street address and unit. What to retain: Complete location address. Common interpretation issue: Several businesses can share one building.

• Coordinates. What to retain: Latitude and longitude, when supplied. Common interpretation issue: A point can describe an entrance, building, or approximate location.

• Category. What to retain: Original category and any mapped category. Common interpretation issue: Different sources classify the same business differently.

• Website. What to retain: Returned URL or domain. Common interpretation issue: A chain-wide website does not uniquely identify a branch.

• Phone. What to retain: Number and its stated type, when known. Common interpretation issue: A main switchboard is different from an owner contact.

• Operating details. What to retain: Status and hours, when available. Common interpretation issue: Temporary closure differs from permanent closure.

• Provenance. What to retain: Retrieval time and original source link. Common interpretation issue: A new retrieval does not guarantee recently updated source data.

This is an editorial record design, not a shared API schema.

Suppose a fictional business, North Quay Coffee, has two cafés and one administrative office. A list built for café discovery should preserve two branch records. A corporate-account list might group them under one parent. Keep the branch-to-company relationship rather than deleting locations simply because they share a domain.

Keep the source record, branch identity, retrieval time, and review notes together. Leave unavailable fields empty and describe the gap.

Compare local business data sources and outputs

Compare sources using the input you have and the record you need. The following comparison describes documented products, without asserting equal coverage or unrestricted reuse rights.

• Google Places. Starting input: Operation-specific text or geographic search. Output or access: Place records with selected fields. Charging or access check: Requests/SKUs and field tiers; see the pricing guide.

• Foursquare Place Search. Starting input: Location and search terms. Output or access: Records from its places database. Charging or access check: Current plan, fields, geographic behavior, and reuse terms.

• OpenWeb Ninja. Starting input: Query, or supported radius/bounding-box search. Output or access: Structured business records; optional contact extraction. Charging or access check: Direct product bills returned objects; a search yielding 20 businesses consumes 20 business credits.

• CUFinder Local Business Search. Starting input: Country and industry; optional geographic filters. Output or access: JSON business records, identifiers, location and available contact fields. Charging or access check: Accepted filter values and current credit contract.

• Openmart. Starting input: Local business and sales filters. Output or access: Business and owner/contact research. Charging or access check: Confirm which people fields can be viewed and exported.

• Serper through Glasser. Starting input: Place-oriented query. Output or access: Documented example returns names, addresses, ratings, categories, coordinates. Charging or access check: Inspect this operation's own schema and price.

OpenWeb Ninja's per-returned-object unit differs from an API billed per request. Its direct documentation does not establish the same terms on every marketplace or wrapper. CUFinder's example includes an email field that can be null; a documented field's existence does not guarantee a value for every business.

For Glasser, the cited Serper example verifies local discovery. It does not verify owner enrichment, complete area coverage, or the same response contract as Google Places. Choose the entry point by required output before comparing nominal prices.

Build a local business list from a geographic query

Define the list in ordinary language first. For this example: “Cafés open to customers in the chosen city; one row per branch; name, address, website, public phone, and source identifier.” Exclude corporate offices and suppliers unless they are part of the task.

Start with a documented query

OpenWeb Ninja's official API page supplies a GET search example using a query parameter. The following follows that documented request shape with a café query. It is an unexecuted example and requires your own API access:

curl --get \
  'https://api.openwebninja.com/local-business-data/search' \
  --header 'x-api-key: YOUR_OPENWEBNINJA_API_KEY' \
  --data-urlencode 'query=Cafes in Portland, Oregon, USA'

This is a direct OpenWeb Ninja request. For Glasser's separate Serper operation, use its documented search, inspect, then run sequence and the operation's current inputs. Do not transfer parameter names between the two products.

A city-name query does not itself guarantee that every returned point lies within an administrative boundary. If the task requires an exact area, use supported geographic controls and review coordinates against your intended boundary. Inspect pagination and result limits before deciding that a single response is your entire list.

Turn results into branch records

These fictional records illustrate an author-designed working dataset:

• sample-A. Name: North Quay Coffee. Address: 10 River Street. Website: northquay.example. Keep in café list?: Yes, first café branch.

• sample-B. Name: North Quay Coffee. Address: 42 Market Street. Website: northquay.example. Keep in café list?: Yes, separate café branch.

• sample-C. Name: North Quay Coffee Office. Address: 9 Depot Road. Website: northquay.example. Keep in café list?: No, administrative office.

Retain A and B even though their brand and website match. Keep C in the raw research notes if permitted, while excluding it from the consumer-facing café view. Check current business websites when category or operating status is unclear.

Preserve the provider, source ID, original category, address, retrieval time, and unresolved questions. Add owner contacts through a source that supports that task; do not fill missing people fields with guessed details.

A useful first delivery is a branch list with known gaps, source references, and inclusion rules. A claim to cover every café needs a separate population and coverage study. Any ongoing refresh or merge process is your application workflow, not an implied Glasser feature.

Handle duplicate locations and changing business details

Begin duplicate review with the question, “Do these records refer to the same physical business location?” An identical name is only one piece of evidence.

Do not overwrite the original records when creating a merged view. Keeping provider IDs, raw categories, and source dates makes later corrections easier to trace.

Choose which fields need frequent review. A street address may remain stable while holiday hours change. A business phone may work while the named owner has changed. Your refresh process should follow the field's role in the user experience, rather than assuming one update interval is appropriate for everything.

Also check the supplier's storage and display conditions before designing a permanent database. Google's Places policies restrict some storage uses and describe attribution requirements, with separate treatment for place IDs. Use the policy for the actual product you access; an API response alone does not establish unrestricted reuse rights.

For quality assessment, compare a defined sample against current business websites or other suitable primary references. Report what you checked and which cases remain unresolved. A large response count establishes the size of a response, not the completeness of the local market.

Questions about local business data and aggregators

What do local business data aggregators do?

Services such as Data Axle distribute business details to directories, search engines, and navigation services. Submitting your own listing does not provide a research database of other businesses.

Does LocalBusiness structured data create a business database?

LocalBusiness markup describes your business on your website for search presentation. It provides no API for retrieving other businesses and guarantees no particular search display.

Where can I start without buying a database?

Start a short list with manual research from current business websites. For free data plans, check field access, usage allowances, and permitted use.

Will local business data include owner emails?

Owner emails depend on the source; a public business contact does not establish an owner's address. See business contact search for contact-source options.