
AI Text Analyzer for Google Reviews
Pricing
$5.00 / 1,000 results

AI Text Analyzer for Google Reviews
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
viamcp-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.