AI Text Analyzer for Google Reviews
Pay $5.00 for 1,000 results
AI Text Analyzer for Google Reviews
Pay $5.00 for 1,000 results
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.
Geneea AnalyticsActor Metrics
35 monthly users
No reviews yet
15 bookmarks
45% runs succeeded
Created in Mar 2023
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.
1# Start Server-Sent Events (SSE) session and keep it running
2curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=geneea-analytics/reviews-text-nlp-analyzer"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing AI Text Analyzer for Google Reviews via Model Context Protocol (MCP) server
MCP server lets you use AI Text Analyzer for Google Reviews within your AI workflows. Send API requests to trigger actions and receive real-time results. Take the received sessionId and use it to communicate with the MCP server. The message starts the AI Text Analyzer for Google Reviews Actor with the provided input.
1curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
2 "jsonrpc": "2.0",
3 "id": 1,
4 "method": "tools/call",
5 "params": {
6 "arguments": {},
7 "name": "geneea-analytics/reviews-text-nlp-analyzer"
8 }
9}'The response should be: Accepted. You should received response via SSE (JSON) as:
1event: message
2data: {
3 "result": {
4 "content": [
5 {
6 "type": "text",
7 "text": "ACTOR_RESPONSE"
8 }
9 ]
10 }
11}Configure local MCP Server via standard input/output for AI Text Analyzer for Google Reviews
You can connect to the MCP Server using clients like ClaudeDesktop and LibreChat or build your own. The server can run both locally and remotely, giving you full flexibility. Set up the server in the client configuration as follows:
1{
2 "mcpServers": {
3 "actors-mcp-server": {
4 "command": "npx",
5 "args": [
6 "-y",
7 "@apify/actors-mcp-server",
8 "--actors",
9 "geneea-analytics/reviews-text-nlp-analyzer"
10 ],
11 "env": {
12 "APIFY_TOKEN": "<YOUR_API_TOKEN>"
13 }
14 }
15 }
16}You can further access the MCP client through the Tester MCP Client, a chat user interface to interact with the server.
To get started, check out the documentation and example clients. If you are interested in learning more about our MCP server, check out our blog post.
