Local Service Business Dataset
Local service category, business, location, service area, website, review, source, and verification fields for regional market research.
FormatsCSV / JSON / XLSX / PDF
RefreshQuarterly review
Version1.1
VerifiedSeptember 20, 2026
Local business datasets look simple until locations, service areas, categories, and review dates start disagreeing. The schema keeps those differences visible instead of flattening them into one vague local field.
That makes the records more useful for regional research and easier to refresh later.
Designed For
- local market mapping
- service category research
- directory enrichment
- regional coverage comparisons
Coverage
Record unitOne service business and locality observation
GeographyCity, state, postal code, and service area when available
Source requirementPublic source stored per row
Review fieldsSource-specific and date-stamped
Field Dictionary
Schema Preview
| Field | Type | Description | Example |
|---|---|---|---|
business_name | string | Published business name | Example Home Services |
service_category | string | Normalized service type | roofing |
locality | string | City or named market | Jacksonville |
review_count | integer | Source-specific public review count | 128 |
last_verified | date | Date the listing was checked | 2026-09-20 |
Illustrative Rows
Illustrative Local Service Records
| business_name | service_category | locality | review_count | last_verified |
|---|---|---|---|---|
| Example Home Services | roofing | Jacksonville | 128 | 2026-09-20 |
| Sample Property Care | landscaping | Orlando | 74 | 2026-09-20 |
Names are illustrative. Public review values require their original source and collection date.
Collection And Preparation
- Collect public business and service-area records with source notes.
- Normalize service categories without deleting the original category wording.
- Keep review counts and ratings tied to their source and collection date.
- Distinguish physical locations from service areas when the source supports it.
Known Limits
- A service area does not prove a staffed office in every listed city.
- Review values change and require a collection date.
- Category normalization can group businesses differently from the source platform.
- Illustrative rows do not identify real businesses.
Useful Applications
- compare service coverage
- map businesses by city
- normalize category labels
- audit public listing freshness
Change Log
- Added field dictionary, locality rules, sample records, methods, and limits.