# Find service opportunities in local business reviews. Tie each idea to a real observation

Find recurring customer problems in a small sample of local reviews, then check what the businesses promise on their websites. Litescrape supplies public listings and reviews, Firecrawl reads the sites and Exa finds independent context.

- For: Agencies and local business consultants
- Providers: 3 (Litescrape, Firecrawl and Exa), 4 tools
- Example (One listing search, one review page, one business website and one independent search. Further businesses are quoted separately): at most $0.03, computed from the live catalog
- Updated: 2026-11-03

## Each provider does one part

No single provider covers this job. Through Agentik your AI calls each one for its part, from one connection and one prepaid balance.

- **Litescrape** (2 tools, at most $0.0003): Public business listings and dated review evidence.
- **Firecrawl** (1 tool, at most $0.0025): The business website's actual claims and service information.
- **Exa** (1 tool, at most $0.03): Independent context for checking the proposed service opportunity.

## Give this to your agent

```text
Use my connected Agentik MCP server for this job: local review opportunities.

Research service opportunities among local businesses of my chosen type and city. Find a small listing sample, confirm the businesses' identities and read one review page. Read the chosen business's own website and find independent context for its services. Separate customer statements from verified website facts. Give an opportunity only when its evidence supports it, and prepare no outreach without my instruction.

Use these Agentik tools for the written steps: litescrape/google-maps, litescrape/google-reviews, firecrawl/scrape, exa/search. Inspect their current schemas and availability first. Ask for missing inputs and use identifiers returned by actual earlier results. The page's example identifiers illustrate input shapes. Quote more pages before expanding. Preserve source links, dates and uncertainty.

Before running anything, inspect each tool with inspect_tool, ask me for any input you don’t have instead of inventing it, and tell me the total price. Wait for my go. At the end, tell me what Agentik charged.
```

## You provide

- Business type and city
- A service you can deliver
- Maximum businesses and review pages

## Before this job

- The tools must be available in your connected Agentik catalog. Ask for the missing provider configuration if a tool is unavailable.

## What you get: a sourced shortlist of local service opportunities

- Business identities and source links
- Recurring complaints in the collected sample
- Website claims checked against the observations
- An opportunity and its supporting evidence for each business

## How to research local business service opportunities in Claude or ChatGPT

Prices are the most each call can reserve for this example: One listing search, one review page, one business website and one independent search. Further businesses are quoted separately.

### 1. Identify businesses and read one review page

Resolve the exact business before reusing its listing ID. Preserve dates and stop after the approved page.

- [Google Maps](/tools/litescrape/google-maps.md) `litescrape/google-maps` (Litescrape): at most $0.00015
- [Google Maps reviews](/tools/litescrape/google-reviews.md) `litescrape/google-reviews` (Litescrape): at most $0.00015

### 2. Check the business website

Read the source page behind a proposed gap in service or information.

- [Scrape a web page to markdown](/tools/firecrawl/scrape.md) `firecrawl/scrape` (Firecrawl): at most $0.0025

### 3. Check independent context

Search the chosen service and location to qualify the recommendation before writing the brief.

- [Exa web search](/tools/exa/search.md) `exa/search` (Exa): at most $0.03

Example total: at most $0.03. Each call is billed for measured usage; unused reservations are released.

## Ask it your way

- Research service opportunities among local businesses of my chosen type and city.
- Keep the sample small and cite the source for each conclusion.

## Why through Agentik

- Collect the sources through one Agentik connection.
- Inspect the price of each bounded call before running it.
- Keep the source evidence beside the proposed action.

## Good to know

- A review is a customer's statement, not independently verified proof of a defect.
- A small sample cannot estimate complaint prevalence across all customers.

## When to use something else

For continuous review collection and response management across every location, use a dedicated reputation management system. This job prepares a bounded research brief.

## Local review opportunities: questions

### What does the example cost?

At most $0.03 for the illustrated calls. Inspect the current tools and quote any additional pages or results before expanding.

### Does the result cover every source?

No. Public feeds and search results can be incomplete. Keep the collection date, sample size and missing evidence visible.

### Does this send messages or change an account?

No. These steps collect public evidence and prepare a brief. Sending a message or changing an account requires a separate instruction.

## Keep going

- [Local business prospects](/local-business-prospects.md): Local businesses of one type in your area with their ratings, their websites read and tested for speed, and contacts at each, each with a concrete reason to call.
- [Local SEO audit](/local-seo-audit.md): Your local rank from nine points around you, your profile against the top three, their reviews, and your site’s details.
- [Local reviews inbox](/reputation-inbox.md): Your newest Google and Tripadvisor reviews, the Instagram posts tagged at your place and the TikToks that mention it, with a reply drafted for each review.
- [B2B data and enrichment tools for your agent](/tools/enrichment.md)
- [SEO tools for your agent](/tools/seo.md)

[All playbooks](/playbooks.md) · [Connection guides](/docs/clients.md) · [Billing](/docs/billing.md)

---

[HTML page](/local-review-opportunities) · [Agent index](/llms.txt)
