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
Find local businesses, then inspect their reviews.
Search for a service and location, then collect available reviews for the listings you want to compare. See the listing sample.
MCP for your AI. API for your applications.
Buyer research & review mining
Understand why customers
choose a business.
Request a review sample and check how many reviews came back. Where available, keep the review text, rating, date, and owner response with the business listing. Ask your AI to cite excerpts when it suggests a theme.
Replacing a Maps workflow? Compare Outscraper alternatives for Maps research.
Before quoting reviews in a client brief, record the listing ID, capture date, requested maximum, returned count, and readable count. Check each card for the review ID, rating, displayed date, and text. Preserve relative dates as displayed. If a card is incomplete, open the original review before quoting it. Use the same-listing test sheet to compare providers.
Captured review example · November 7, 2026 UTC
Formula Roofing and Remodeling · Denver
Requested up to 5 reviews. Collected 5, with the run reported complete.
“Formula did an amazing job from start to finish.”
One returned review · 5 stars · “5 months ago” as displayed. The run collected five cards, and the public JSON shows one example. Check the full set of readable cards before drawing a theme from your own capture.
Open the Google Maps listing · Inspect the example fields and review identifier
The worksheet is derived from the one published review. It preserves the listing source, review ID, rating, and displayed date. The run collected five reviews. Download the one-review worksheet (CSV).
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.
Record the business query and location, then compare the listings that came back. Where a Google Maps Place ID is available, use it to spot repeat listings. Keep missing fields visible and compare like with like.
The business details behind your research
Compare the offer
Look at categories, listed services, and service areas. Use a matched search area to compare local competitors on Google Maps and record which listings you verified. 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.
Inspect a recorded Maps listing search.
On 2026-11-08 UTC, MCP Scraper requested 3 results for “coffee shops Portland, OR”. The response returned 3 listings.
| Position | Business | Address | Reviews |
|---|---|---|---|
| 1 | Drip Drop Coffee | 932 SW 4th Ave | 369 |
| 2 | Less and more coffee | 1003 SW 5th Ave | 479 |
| 3 | Roseline Coffee Cafe & Roastery | 321 NE Davis St | 210 |
All three rows included a Maps link, a listing identifier and a profile review count. Website was null for all three, and profile details were not requested. Open a selected profile when you need to verify its website. This search did not collect individual review cards.
Inspect the recorded listing fields in JSONFor a local shortlist, keep one row per listing ID and record the query and capture date. Check the address against your campaign area. If a listing appears in multiple searches, keep one row and retain each query. Leave websites blank until you verify them. The sample CSV is a worksheet made from this recorded response.
Download the three-listing shortlist CSVThe June 12 response returned the same three listing IDs in a different order and left review counts empty. That request passed the city separately. The newer request put it in the query, so compare the fields and identities without treating the captures as a rank trend.
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
Give your AI lasting
knowledge of each client.
Use Memory to support the work that continues after the kickoff.
Memory
Reuse research in your next brief
If you need the research for another brief, explicitly save the reviewed material to Memory through a supported operation. Open the saved note to check that the source and sample limits came through. See how to save scraped research in a Memory vault while keeping original review evidence separate from your conclusions.
Client researchMemoryYour next brief
Two ways to use it
Use Google Maps data
in your AI or application.
Find businesses in a market. Start with a category and location, such as roofers in Denver. Check each listing ID and Maps link before choosing profiles to research. If you need a website and the search leaves it blank, verify it on the selected profile. Inspect the recorded listing search.
Inspect a known profile. Start from a verified listing and request a sample of available reviews. Keep each readable review with its listing. If the readable count is below what your research needs, mark the sample partial and record the requested and returned counts. Inspect the recorded review sample.
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 AICollect reviews with the Google Maps reviews API
Start a lookup for a verified listing with POST /maps/place. Use the returned run ID to check which fields completed. Read saved review cards with GET /maps/place/runs/. Keep the listing and collected count with your export.
Inspect the recorded five-review sample
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?
A Google Maps place lookup reserves 60 Credits plus 1 Credit for each review in your requested maximum. A completed run settles at 60 Credits plus 1 Credit per unique review saved. See pricing for current plan allowances and separate business-search rates.
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.