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Generate Market Research Reports from Google Maps Reviews

Source reviewed Updated 2026-07-07

Scrapes Google Maps reviews for a target area, analyzes sentiment and competition via Gemini.

What it does

Get actionable market research reports by having this agent scrape Google Maps reviews to analyze sentiment and competition. It then uses AI to identify competitors and market gaps before emailing you the compiled insights.

Step by step

  1. Configure the HTTP Request node to call the SerpAPI endpoint with the specific business name and location parameters.
  2. Set up the Gmail node with OAuth2 authentication credentials to enable sending messages from the designated account.
  3. Define the JSON structure for the final report output so it can be parsed correctly by the email template.

Where the LLM does the work

  • Prompt the Gemini model to synthesize raw review text into distinct sentiment categories and actionable market insights.
  • Instruct the AI agent to identify specific competitor weaknesses based on negative reviews of rival businesses in the same area.
  • Generate a professional narrative summary for the email body that transforms data points into readable business recommendations.

Watch out for

SerpAPI free tiers have strict request limits so you must implement error handling to avoid billing overages or service interruption.
Large volumes of reviews might exceed the context window limit for Gemini so you should chunk the data or summarize iteratively to prevent token errors.

Tools that fit

SerpAPI API Google Maps data extraction
HTTP Request Service Fetching business data from SerpAPI
AI Agent LLM Orchestrating the analysis workflow
Google Gemini Chat Model LLM Analyzing reviews and generating insights
Gmail Service Delivering final reports to inbox

The agent brief

Everything your agent needs, including the gotchas. Copy it and go.
agent-brief.md
You are helping me build the following AI agent workflow.

## Goal
Generate Market Research Reports from Google Maps Reviews: Scrapes Google Maps reviews for a target area, analyzes sentiment and competition via Gemini.

## Specification
- What it does: Get actionable market research reports by having this agent scrape Google Maps reviews to analyze sentiment and competition. It then uses AI to identify competitors and market gaps before emailing you the compiled insights.
- Trigger: Run manually (Manual · on demand or Scheduled)
- Autonomy: Fully hands-off
- Expected setup effort: about an afternoon
- Tools/services involved:
  - SerpAPI: Google Maps data extraction
  - HTTP Request: Fetching business data from SerpAPI
  - AI Agent: Orchestrating the analysis workflow
  - Google Gemini Chat Model: Analyzing reviews and generating insights
  - Gmail: Delivering final reports to inbox

## Known pitfalls, handle each one explicitly in your implementation
1. SerpAPI free tiers have strict request limits so you must implement error handling to avoid billing overages or service interruption.
2. Large volumes of reviews might exceed the context window limit for Gemini so you should chunk the data or summarize iteratively to prevent token errors.

## Reference implementation
https://n8n.io/workflows/6928 (workflow template)
Fetch and inspect this before building. If it matches my stack, adapt it;
if not, rebuild the pattern with my tools.

## Process requirements
1. Before building: ask me which of the listed tools I actually use and
   what my platform is (n8n / Make / code / other). Do not assume.
2. Adapt the pattern to my answers; do not force the reference stack.
3. Address every pitfall above; tell me how you handled each.
4. Provide a test plan I can run before letting this touch real data.
5. Ask before any step that sends messages, modifies data, or spends money.

Source: https://usecasesforagents.com/use-case/generate-market-research-reports-from-google-maps-reviews/ via usecasesforagents.com

Frequently asked questions

Can I use a different Search than SerpApi?

Yes. SerpApi is only the example search in this recipe. The same flow works with GNews, InfraNodus, Jina AI and NewsAPI. Swap the search connection and keep the rest of the setup as written.

Want this running in your business?

This is what I do. I design and build AI agents like this one, and keep them running. If you want it set up for your team instead of doing it yourself, get in touch.
Get in touch →

Who it's for

Built for founders and execs who need research handled without hiring for it.

Marketers can point this at their own content pipeline with no changes to the pattern.

Analysts get a ready-made pattern for turning raw numbers into a report someone will actually read.

Seen in the wild

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