Find buying priorities
Learn which parts of the service customers mention most. Use those themes to sharpen your understanding of the ideal customer.
Local research, inside your AI
Google Maps
Scraper
Research customers and competitors with AI.
Get business details and reviews for better content, local SEO, and client work.
MCP for your AI. API for your applications.
Buyer research & review mining
Understand why customers
choose a business.
Get review text, ratings, and owner responses. Ask your AI to uncover what buyers value, what frustrates them, and how they describe their needs.
Learn from complaints
Ask your AI to group recurring frustrations and objections, so you know which concerns your messaging needs to address.
Capture customer language
Find the words people use to describe their problems and a good experience. Bring that language into your content briefs.
Choose a research goal
Ask your connected AI
Get Google Maps reviews for [business] in [city]. Group the reasons customers chose it, the benefits they mention, and recurring complaints. Include review excerpts that support each theme.
Example only; does not run a search.
Competitor research
See how your client compares with local competitors.
Search by business type and location, then bring competitor profiles into your AI. Compare services, ratings, reviews, and customer experiences in one piece of research.
The business details behind your research
Compare the offer
Look at categories, listed services, and service areas. Ask your AI where your client’s offering overlaps with competitors and where it differs.
Compare the customer experience
Go beyond the average rating. Use reviews and owner responses to understand what customers praise, question, or complain about.
Available fields vary by listing. Your AI makes the comparison using the information collected.
Content creation
Create content that answers real customer concerns.
Ask your AI to turn review themes into service-page talking points, FAQs, and content briefs. Use customers’ questions and language to make your content more useful.
Illustrative brief direction
Customer concern to investigate
Knowing what happens before work begins
Content to consider
A clear “what to expect” section
Use actual review findings and your client’s process to develop the brief.
Local SEO
Find practical ways to improve your Google Business Profile.
Bring your listing and competitor details into the same review. Use your AI to flag services to check, information to verify, and recurring feedback worth addressing.
- Check that listed services reflect what the business offers.
- Verify hours, website, and business information.
- Identify repeated customer concerns to discuss with your client.
Maps research informs your priorities. Combine it with your wider SEO audit to investigate rankings.
Client kickoffs
Start client kickoffs with the research already done.
Gather the client’s business details, local competitors, and review feedback before your first strategy call. Ask your AI for a briefing that gives you better questions to ask.
Connect your AIMemory & scheduling
Give your AI lasting
knowledge of each client.
Use Memory and scheduled research to support the work that continues after the kickoff.
Memory
Reuse research in your next brief
Add Maps findings to Memory so your connected AI can retrieve them for later content, strategy, and reporting. Build on what you’ve learned about the client and their customers.
Client researchMemoryYour next brief
Scheduler
Refresh competitor research on a schedule
Set up a scheduled agent to revisit selected businesses and collect research into your chosen Memory vault. Give it the businesses, questions, and cadence your client work needs.
Example scheduleMonthly competitor reviewSelected businesses → client research vault
Two ways to use it
Use Google Maps data
in your AI or application.
Start with the way you already work.
Ask your AI to do the research
Connect MCP Scraper to a compatible AI client. Ask for business details, reviews, or competitor research in plain language. You don’t need to write scraper code.
Connect your AIBuild Maps research into your application
Call the Maps tools from your AI workflows or software. Use business and review data in client reports, research tools, and application features.
Read the documentationBefore you start
Google Maps
Scraper questions.
What information can I get?
Search results can include business names, categories, ratings, review counts, addresses, websites, phone numbers, and hours. A business profile lookup can add available reviews, owner responses, services, service areas, and images.
Does the scraper analyze reviews for me?
The scraper collects the available reviews. Your AI can then group themes, compare feedback, and draft content or research briefs from them. Ask it to include supporting excerpts so you can review the findings.
Do I need to know how to code?
No. Connect MCP Scraper to a compatible AI client and ask for research in plain language. The API is also available when you want to build the data into your own software.
Can I collect every review for a business?
Profile lookup can collect a requested sample of available reviews. It does not promise every review. Use the collected sample to guide research, and check important conclusions against the underlying feedback.
How does pricing work?
MCP Scraper uses Credits for tool runs. Costs depend on the tools and the amount of data requested. See the current plans and credit allowances on the pricing page.
Your next client project
Bring customer and competitor
research into your next client project.
Start with a business, a location, and the question you want to answer.