Google Maps Reviews Scraper
A Google Maps reviews scraper should help you review public reputation signals for local businesses without turning the workflow into a vague pile of copied text. For V0, the practical goal is a clean table that summarizes ratings, review counts, review snippets, profile URLs, categories, and locations for restaurants, dentists, plumbers, salons, gyms, clinics, auto repair shops, law firms, hotels, and local stores.
When review data is useful
Review data is useful when you need to understand a local market before outreach, local SEO work, or competitor research.
- Agencies can compare rating and review-count gaps across a city for one local merchant category.
- Local growth teams can prioritize businesses with active profiles and visible Google Maps contact details.
- Operators can spot categories where customers mention similar service problems.
- Researchers can export a consistent CSV instead of copying profiles one by one.
Fields to capture
Start with summary fields first. They are easier to inspect, export, and use responsibly.
| Field | Why it matters |
|---|---|
| Business name | Identifies the place record |
| Category | Helps group similar local businesses |
| Rating | Gives a quick reputation signal |
| Review count | Shows how much review history exists |
| Recent review snippet | Adds context without overloading the table |
| Website | Helps verify the business before outreach |
| Phone | Useful only when visible and used responsibly |
| Maps URL | Keeps a source link for review and verification |
Review workflow
- Search by business type and location.
- Preview the place table before exporting.
- Sort by rating, review count, or category.
- Keep only the fields needed for your analysis.
- Export the visible table to CSV.
- Verify important records against the source profile before acting on them.
What not to promise
Do not position the page as unlimited review harvesting. A responsible review workflow should avoid bulk collection that ignores source terms, user privacy, or platform limits.
DataTidy fit
DataTidy focuses on a table-first workflow: search, preview, clean fields, then export. That makes review data easier to inspect than a raw API response, especially for local SEO audits and local business lead qualification.
Use the Google Maps Scraper to start from a live table, or compare export boundaries on the pricing page.