Tripadvisor Review Scraper
2 hours trial then $9.00/month - No credit card required now
Tripadvisor Review Scraper
2 hours trial then $9.00/month - No credit card required now
Extract detailed review data from TripAdvisor business pages. Collect review content, ratings, dates, reviewer info, and more. Ideal for market research, sentiment analysis, and tracking hospitality industry trends.
Louis DeconinckActor Metrics
5 Monthly users
4.0 / 5 (1)
2 bookmarks
>99% runs succeeded
Created in Oct 2024
Modified 5 months ago
You can access the Tripadvisor Review Scraper programmatically from your own applications by using the Apify API. You can 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
2curl https://actors-mcp-server.apify.actor/sse?token=<APIFY_TOKEN>
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing Tripadvisor Review Scraper via Model Context Protocol (MCP) server
MCP server lets you use Tripadvisor Review Scraper 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 Tripadvisor Review Scraper 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": { # Actor inputs
7 "startUrls": ...,
8 ...
9 },
10 "name": "2kUXJAqpb2PezMlud"
11 }
12}'The response should be: Accepted. You should received response via SSE (JSON) as:
1event: message
2data: {
3 "result": {
4 "content": [{
5 "type": "text"
6 "text": "ACTOR_RESPONSE"
7 }]
8 }
9}Configure local MCP Server via standard input/output for Tripadvisor Review Scraper
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", "@apify/actors-mcp-server",
7 "--actors", "2kUXJAqpb2PezMlud"
8 ],
9 "env": {
10 "APIFY_TOKEN": "YOUR_API_TOKEN"
11 }
12 }
13}
14}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.
