AI Text Analyzer for Google Reviews avatar
AI Text Analyzer for Google Reviews

Pricing

$5.00 / 1,000 results

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AI Text Analyzer for Google Reviews

AI Text Analyzer for Google Reviews

Developed by

Geneea Analytics

Geneea Analytics

Maintained by Community

Quickly analyze customer reviews extracted by Google Maps Scraper. Find out what the most frequently used keywords are in each review. Learn how people view your staff and prices. Obtain structured information from unstructured text. Monitor changes in customers’ sentiment over time.

0.0 (0)

Pricing

$5.00 / 1,000 results

16

Total users

480

Monthly users

30

Runs succeeded

67%

Issues response

3.9 hours

Last modified

2 years ago

You can access the AI Text Analyzer for Google Reviews programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/sse?actors=geneea-analytics/reviews-text-nlp-analyzer",
"--header",
"Authorization: Bearer <YOUR_API_TOKEN>"
]
}
}
}

Configure MCP server with AI Text Analyzer for Google Reviews

You have a few options for interacting with the MCP server:

  • Use mcp.apify.com via mcp-remote from your local machine to connect and authenticate using OAuth or an API token (as shown in the JSON configuration above).

  • Set up the connection directly in your MCP client UI by providing the URL https://mcp.apify.com/sse?actors=geneea-analytics/reviews-text-nlp-analyzer along with an API token (or use OAuth).

  • Connect to mcp.apify.com via Server-Sent Events (SSE), as shown below:

{
"mcpServers": {
"apify": {
"type": "sse",
"url": "https://mcp.apify.com/sse?actors=geneea-analytics/reviews-text-nlp-analyzer",
"headers": {
"Authorization": "Bearer <YOUR_API_TOKEN>"
}
}
}
}

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.

If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.