๐บ Tripadvisor Reviews Scraper | Pay Per Result $0.5/1K reviews
Pricing
$0.50 / 1,000 reviews
๐บ Tripadvisor Reviews Scraper | Pay Per Result $0.5/1K reviews
The Wolves proudly presents TripAdvisor Review Scraper, the perfect solution for TripAdvisor review extraction. Incredibly, it retrieves 100-200 reviews per second at an amazing cost-effective rate of $0.50 per 1000 reviews. Get any data from TripAdvisor by targeting. Cheapest!!
0.0 (0)
Pricing
$0.50 / 1,000 reviews
20
Total users
233
Monthly users
31
Runs succeeded
>99%
Issues response
2 hours
Last modified
a day ago
You can access the ๐บ Tripadvisor Reviews Scraper | Pay Per Result $0.5/1K 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, youโll need an Apify account and your API token, found in Integrations settings in Apify Console.
$# Start Server-Sent Events (SSE) session and keep it running<curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=thewolves/tripadvisor-reviews-scraper"
# Session id example output:# event: endpoint# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing ๐บ Tripadvisor Reviews Scraper | Pay Per Result $0.5/1K reviews via Model Context Protocol (MCP) server
MCP server lets you use ๐บ Tripadvisor Reviews Scraper | Pay Per Result $0.5/1K 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 ๐บ Tripadvisor Reviews Scraper | Pay Per Result $0.5/1K reviews Actor with the provided input.
$curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{$ "jsonrpc": "2.0",$ "id": 1,$ "method": "tools/call",$ "params": {$ "arguments": {$ "startUrls": [$ "https://www.tripadvisor.com/Restaurant_Review-g60763-d25324283-Reviews-Allora_Fifth_Ave-New_York_City_New_York.html",$ "https://www.tripadvisor.com/Hotel_Review-g60763-d15288822-Reviews-SpringHill_Suites_New_York_Manhattan_Times_Square_South-New_York_City_New_York.html?spAttributionToken=MjMyMTAzMzg"$ ],$ "languages": [$ "all"$ ],$ "ratings": [$ "all"$ ],$ "maxItems": 1000,$ "customMapFunction": "(object) => { return {...object} }"$},$ "name": "thewolves/tripadvisor-reviews-scraper"$ }$}'The response should be: Accepted. You should received response via SSE (JSON) as:
$event: message$data: {$ "result": {$ "content": [$ {$ "type": "text",$ "text": "ACTOR_RESPONSE"$ }$ ]$ }$}Configure local MCP Server via standard input/output for ๐บ Tripadvisor Reviews Scraper | Pay Per Result $0.5/1K 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:
{ "mcpServers": { "actors-mcp-server": { "command": "npx", "args": [ "-y", "@apify/actors-mcp-server", "--actors", "thewolves/tripadvisor-reviews-scraper" ], "env": { "APIFY_TOKEN": "<YOUR_API_TOKEN>" } } }}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.
